Engineering oncolytic bacteria as precision cancer therapeutics: design principles, therapeutic strategies, and translational perspectives

Lingxue Niu , Zhenqiang Deng , Yiyu Jin , Ningzi Guan , Haifeng Ye

Protein Cell ›› 2026, Vol. 17 ›› Issue (4) : 279 -303.

PDF (4040KB)
Protein Cell ›› 2026, Vol. 17 ›› Issue (4) :279 -303. DOI: 10.1093/procel/pwaf085
Review
Engineering oncolytic bacteria as precision cancer therapeutics: design principles, therapeutic strategies, and translational perspectives
Author information +
History +
PDF (4040KB)

Abstract

Engineered oncolytic bacteria are emerging as a promising platform for precision cancer therapy, combining inherent tumor tropism, immunogenicity, and programmable gene control. Advances in synthetic biology now enable inducible and autonomous circuits that sense exogenous inputs (chemical signals or physical signals), bacterial self-cues (quorum sensing, bacterial invasion switches, or nitric oxide-responsive promoters), and tumor-specific pathophysiology (hypoxia, low pH, or lactate). These designs regulate colonization, lysis, and the spatiotemporally confined release of therapeutic cargos—including prodrug-converting enzymes, cytokines, and antibody/nanobody fragments—thereby enhancing antitumor efficacy while limiting off-target toxicity. Beyond monotherapy, oncolytic bacteria integrate with complementary modalities—including immune checkpoint blockade, adoptive cell therapies (CAR-T/NK), radiotherapy/chemotherapy, nanomedicine, and oncolytic viruses—to amplify immune activation and to enable multimodal, synergistic regimens. Concurrently, biosensor modules transform bacterial chassis into programmable “microbial factories” that couple therapy with real-time imaging and adaptive responses within the tumor microenvironment. This review synthesizes design principles for bacterial gene regulation, surveys recent preclinical advances, and highlights emerging combination strategies, while outlining translational considerations for safety, manufacturability, dosing, and patient selection. Together, these developments position engineered oncolytic bacteria as a promising route toward safe, effective, and ultimately personalized bacteria-based cancer therapeutics.

Graphical abstract

Keywords

synthetic biology / precision cancer therapy / oncolytic bacteria / gene circuits

Cite this article

Download citation ▾
Lingxue Niu, Zhenqiang Deng, Yiyu Jin, Ningzi Guan, Haifeng Ye. Engineering oncolytic bacteria as precision cancer therapeutics: design principles, therapeutic strategies, and translational perspectives. Protein Cell, 2026, 17(4): 279-303 DOI:10.1093/procel/pwaf085

登录浏览全文

4963

注册一个新账户 忘记密码

Introduction

Cancer continues to be a leading cause of death worldwide, and its prevalence is steadily rising (Murray, 2024). While conventional cytotoxic therapies can effectively eliminate cancer cells, they often cause severe side effects due to collateral damage to healthy tissues. Thus, achieving precise tumor targeting without harming normal tissues is essential for improving patient outcomes. Recent advances in molecularly targeted therapy and immunotherapy have propelled the field of precision oncology. Molecularly targeted therapies specifically target signaling pathways within tumor cells, allowing for accurate attacks on cancer cells while minimizing damage to healthy tissues (Min and Lee, 2022). Nevertheless, their clinical application is constrained by restricted tumor-type applicability, acquired resistance, and treatment-related toxicities (Mössner, 2022). Immunotherapy harnesses and modulates the host immune system to recognize and eliminate cancer cells by enhancing or reprogramming immune responses. While successful in certain cancers, many tumors remain resistant to immunotherapy due to challenges such as: (i) insufficient immune cell infiltration due to physical barriers in solid tumors, (ii) cytokine release syndrome (CRS) triggered by overactivation, and (iii) off-target effects and limited tumor-homing capability. These challenges highlight the pressing demand for alternative therapeutic approaches to overcome resistance and refine tumor treatment (Emens et al., 2017; Tang et al., 2023; Ye et al., 2023).

In contrast to conventional drugs, which accumulate through passive diffusion, live bacteria can actively penetrate deep into tumors, bypassing aggregation near blood vessels (Dang et al., 2001; Zhang and Forbes, 2015). The unique properties of the tumor microenvironment (TME) allow bacteria to preferentially replicate and colonize tumors. For example, Salmonella has been observed to localize to tumors at more than 10,000 times the density found in normal tissues (Yi et al., 2020). Live bacteria offer distinct advantages over traditional anticancer agents by amplifying antitumor effects through inherent tumor-targeting capabilities, potentially enhancing specific immune recognition (Huang et al., 2021b). However, balancing the requirement for bacteria to evade host antimicrobial defenses while stimulating antitumor immunity within the TME remains a challenge. A recent study revealed a unique hysteresis-mediated mechanism in which preexisting interleukin-10 (IL-10) receptor expression across diverse cell types in the TME is exploited by bacteria to protect tumor-associated macrophages (TAMs) from neutrophil phagocytosis, while simultaneously expanding and activating exhausted tumor-resident CD8+ T cells (Chang et al., 2025). Several bacterial species, such as Escherichia, Salmonella, Listeria, and Pseudomonas, have exhibited the capacity for selective colonization, penetration, and induction of oncolytic tumor regression (Forbes, 2010; Lee et al., 2025). Many studies have demonstrated that oncolytic bacteria can regress tumors effectively, yet challenges such as insufficient therapeutic efficacy, systemic toxicity, and unpredictable bacterial replication complicate their clinical use (Zhou et al., 2023).

Advances in synthetic biology allow the rational design of optimized oncolytic bacterial strains by attenuating virulence factors and integrating customizable therapeutic payloads, with several candidates already progressing into clinical evaluation (Gurbatri et al., 2022; McNerney et al., 2021). Fine-tuning the spatiotemporal control of bacterial therapeutic activity is essential for maximizing drug accumulation, improving resource efficiency, and reducing harm to healthy tissues. To this end, engineered oncolytic bacteria often utilize regulated gene expression systems, incorporating specific promoter elements, to allow for precise control of therapeutic payload delivery in vivo (Cubillos-Ruiz et al., 2021; Riglar and Silver, 2018). Classical microbiology typically exploits native microbial traits through strain screening (Xu et al., 2023), adaptive evolution (Crook et al., 2019), and either pathogen attenuation or probiotic optimization (Detmer and Glenting, 2006). By contrast, synthetic biology prioritizes rational and modular design, integrating programmable sensors, genetic circuits, and effectors to deliver precise, tunable, multilayer regulation of bacterial behaviors and therapeutic outputs.

This review categorizes and evaluates controllable gene expression strategies for oncolytic bacteria-mediated tumor therapy (Fig. 1). We discuss various genetic control systems, which can be broadly classified into three categories: (i) external signals triggered bacterial gene expression in response to exogenous stimuli, (ii) bacterial self-triggered gene expression which depends on intrinsic bacterial signaling mechanisms, and (iii) pathological signals activated bacterial gene expression in response to tumor-specific microenvironment cues. We also outline both the opportunities and challenges in bridging preclinical findings and clinical applications for engineered oncolytic bacteria and discuss potential future directions for advancing their therapeutic potential.

Strategies for engineering bacteria

Precisely regulating the expression of therapeutic payloads in oncolytic bacteria has the potential to improve the efficacy of localized tumor therapy while reducing off-target effects (Ozdemir et al., 2018). The rapid advancements in synthetic biology have enabled the design and integration of various gene expression regulatory elements and gene circuits, thus enhancing the precision of engineered bacteria for therapeutic applications (Pedrolli et al., 2019; Teixeira and Fussenegger, 2024). This control is particularly crucial for the expression of potent antitumor effectors, such as cytotoxic compounds and cytokines, whose constitutive production could lead to severe off-target toxicity (Forbes, 2010; Zhou et al., 2018).

Exogenous input-responsive gene circuits

External cues enable on-demand activation of therapeutic genes only at desired sites or times (Zhou et al., 2018). There are diverse exogenous stimuli, including chemical signals, physical signals (light, temperature, and radiation), to remotely regulate bacterial gene circuits. Such systems provide several advantages: (i) precise temporal control over therapeutic delivery, (ii) reduced metabolic burden during systemic circulation, and (iii) enhanced safety due to dose-titratable activation. Table 1 provides a summary of external signal-responsive bacterial therapeutic systems designed for antitumor applications.

Small molecule-responsive circuits

The control of bacterial gene expression using chemical inducers typically relies on the operon model, where a repressor protein binds to specific DNA sequence to regulate bacterial gene expression in response to added chemical molecules (Fig. 2A) (English et al., 2021; Jacob and Monod, 1961). Chemical inducers interact with regulator proteins or structural enzymes, and allosterically modulate their activity. Chemical inducers such as isopropyl β-d-1-thiogalactopyranoside (IPTG) (Chen et al., 2024; Harimoto et al., 2022; Ma et al., 2023), l-arabinose (Tan et al., 2022; Wei et al., 2016, 2024; Yue et al., 2022; Zheng et al., 2017), rhamnose (Yang et al., 2025b), tetracycline (Jiang et al., 2013; Nguyen et al., 2022, 2024), and salicylic acid salts (Royo et al., 2007), have been employed to control bacterial transgene expression for antitumor applications. These chemical triggers exhibit several favorable features: (i) effective gene regulation at relatively low concentrations; (ii) high bioavailability to penetrate bacterial cells; (iii) stability over the required treatment duration; and (iv) in many cases, relative safety for human administration.

The IPTG-triggered gene expression system is one of the most widely used for high-yield recombinant protein production and for generating antitumor payloads (Marbach and Bettenbrock, 2012). In this system, IPTG binds to the LacI repressor tetramer, releasing it from the lacO operator and initiating transcription from the Plac promoter. For example, Escherichia coli Nissle 1917 (EcN) expressing lacZ under IPTG control (termed PROP-Z) enabled non-invasive detection of liver metastasis via urinary lacZ signals following oral administration (Danino et al., 2015). Additionally, IPTG inducer has been used to dynamically regulate capsular polysaccharide expression on bacterial surfaces. This transient encapsulation allows bacteria to temporarily evade host immune attack, whereas subsequent capsule loss facilitates effective clearance and enhances the maximum tolerated dose of bacterial therapy by 10-fold, thereby enhancing the therapeutic safety and effectiveness of engineered oncolytic bacteria (Harimoto et al., 2022).

However, despite its widespread use in laboratory studies, the IPTG system suffers from inherent limitations for in vivo applications, including challenges in efficient inducer delivery, basal leakiness of gene expression, increased metabolic burden on the host, and potential cellular toxicity (Lutz and Bujard, 1997). As an alternative, the l-arabinose-inducible system offers tighter regulation with minimal leaky expression and a high induction ratio (Guzman et al., 1995). Without l-arabinose, the AraC dimer associates with two distant DNA sites, generating a characteristic DNA loop that inhibits RNA polymerase access. The binding of l-arabinose induces a conformational shift in AraC, stimulating transcription from the PBAD promoter (Englesberg et al., 1969). This system has been successfully utilized to control therapeutic gene expression in oncolytic bacteria. For instance, E. coli engineered with the l-arabinose-inducible system expressed cytolysin A, which directly lyses cancer cells (Tan et al., 2022), and flagellin B, an excellent adjuvant for antitumor immunotherapy (Zheng et al., 2017). Moreover, tumor antigen ovalbumin fused to an Fc fragment was expressed in outer membrane vesicles (OMVs) of engineered E. coli upon oral co-administration with l-arabinose to function as a potent oral tumor vaccine in mice (Yue et al., 2022). However, the l-arabinose-inducible system exhibits moderate expression efficiency due to relatively low maximum expression levels (Balzer et al., 2013). Recently, the l-rhamnose-inducible system has been employed to express DR18 on the outer membrane in E. coli DH5α, which elicited strong CD8+ T-cell- and natural killer (NK) cell-dependent antitumor immunity (Yang et al., 2025b). Since l-arabinose and l-rhamnose are natural metabolic substrates, maintaining tight inducibility requires bacterial strains with inactivated arabinose/rhamnose catabolism genes and constitutive expression of arabinose/rhamnose transporters (Liang et al., 2015). These limitations of these systems constrain their broader application in therapeutic settings.

An ideal inducible system should impose minimal metabolic burden and exhibit negligible toxicity. Thus, FDA-approved inducers are highly desirable. Tetracycline and its analogue doxycycline, both antimicrobial agents, have been repurposed for bacterial gene expression regulation (Williams et al., 2010). In the tetracycline-inducible system, the TetR repressor binds to the tetO operator sequence, preventing transcription from the bidirectional promoters PtetA and PtetR. For example, Salmonella typhimurium ΔppGpp engineered with a tetracycline/doxycycline expression system expressed cytolysin A (ClyA) under the PtetA promoter and Renilla luciferase (Rluc8) under the PtetR promoter. Both gene expressions were doxycycline-dependent and significantly suppressed tumor growth in mice (Jiang et al., 2013; Nguyen et al., 2022). However, reliance on antibiotics in such systems is problematic, as it may disrupt bacterial viability and contribute to concerns about antibiotic resistance in clinical settings (Wilson et al., 2020). This highlights the need for safe, widely approved small-molecule inducers without such risks (Cubillos-Ruiz et al., 2021). Acetyl salicylic acid (ASA), a widely used analgesic and anti-inflammatory drug with rapid absorption, broad tissue distribution, a short half-life, and low toxicity, represents a promising alternative (Fuster and Sweeny, 2011). The ASA-inducible system involves two regulators: the naphthalene degradation pathway regulator NahR and the xylose operon transcriptional activator mutant XylS2. In the presence of ASA, NahR activates transcription from the Psal promoter to produce XylS2. ASA simultaneously activates XylS2, which subsequently drives robust expression from the Pm promoter via synergistic regulation (Cebolla et al., 2002). In a study, the ASA-regulated S. typhimurium SL7207 expresses cytosine deaminase, enabling the conversion of 5-fluorocytosine into the chemotherapeutic agent 5-fluorouracil, led to significantly smaller tumor volumes in mice compared to those regulated by the tetracycline system (Royo et al., 2007).

Despite these advances, small molecule-driven gene expression systems still face several limitations, including cytotoxicity, off-target effects, resistance development, metabolic disturbances, complex pharmacodynamics, and low bioavailability, hampering their broad clinical application (Chait et al., 2016; Kong et al., 2017). Promoter engineering strategy can be introduced to optimize chemical-induced systems. The characteristics of a promoter are largely dictated by its cis-regulatory components, such as the −10 and −35 elements (Wittkopp and Kalay, 2011). Conventional genetic engineering methods, like saturation mutagenesis or error-prone PCR, are often laborious and time-consuming (Gilman and Love, 2016). New approaches, including conditional toxin expression-based screening (Małachowska and Olszewski, 2018) and AI-assisted frameworks like DeepSEED (Zhang et al., 2023), facilitate the efficient selection of promoter variants with desired regulatory properties. Moreover, the challenge of eliminating residual chemical inducers and the poor tissue penetration of small molecules complicate the spatial and temporal precision of gene expression control.

Light-responsive circuits

Optogenetics enables precise regulation of transcription through the combination of light-sensitive proteins (e.g., photoreceptors from plants or microbial opsins) with regulatory elements (Bansal et al., 2023). Light serves as an effective tool for precision medicine due to its non-invasiveness, spatiotemporal specificity, reversibility, and remote operation (Ye and Fussenegger, 2019). Initially applied to modulate neuronal electrical activity (Bi et al., 2006), optogenetic tools have been adapted for a wide range of biomedical applications, including metabolic disease and tumor therapy, highlighting their potential in disease treatment (Zhou et al., 2025). The integration of optogenetic tools into engineered bacteria for precise regulation of bacterial functions presents a promising approach for tumor therapy. We classify bacterial optogenetic tools according to their sensitivity to specific light wavelengths (Fig. 2B).

Blue light-induced optogenetic systems, depending on the light-oxygen-voltage (LOV) domain (Crosson et al., 2003), such as light-activated transcription factor EL222 (Zoltowski et al., 2013) and pDawn (Ohlendorf et al., 2012), have been widely utilized in bacterial tumor therapy. The EL222-based system, derived from Erythrobacter litoralis HTCC2594, consists of an N-terminal LOV domain and a C-terminal NarL/LuxR-type helix–turn–helix (HTH) DNA-binding domain. In the dark, EL222 exists as an inactive monomer stabilized by inhibitory LOV–HTH contacts. Under blue light stimulation, EL222 converts into an oligomeric DNA-binding form, enabling photoactivation of gene transcription (Zoltowski et al., 2013). The pDawn system employs a light-responsive kinase (YF1) and its cognate response regulator (FixJ) to drive expression of the λ phage repressor cI from the PFixK2 promoter, which represses transcription from the strong λ promoter PR. Illumination with blue light reduces YF1 kinase activity and suppresses cI expression, thereby relieving PR repression and inducing target gene expression (Ohlendorf et al., 2012). While EL222 offers a more compact design with a single light-responsive component, the pDawn system achieves higher induction efficiency due to its phosphorelay cascade, amplifying the light-triggered signal.

However, all blue light-induced systems suffer from limitations such as restricted tissue penetration and potential phototoxicity, restricting their in vivo applications. To address these issues, lanthanide-doped upconversion nanoparticles (UCNPs) have been employed (Lamon et al., 2024), which absorb near-infrared (NIR) light and convert it into blue light in vivo, enabling deep-tissue optogenetic activation with reduced phototoxicity. Zhu et al. (2023) constructed UCNP-conjugated EcN (EcN-FlaB-UCNPs) expressing flagellin B mediated by EL222, which, under 808 nm irradiation, triggered immune responses such as TAM repolarization and cytotoxic T-cell infiltration, resulting in significant tumor regression in multiple subcutaneous tumor and metastatic tumor models with negligible side effects. Similarly, Tao et al. (2023) engineered E. coli MG1655 with the Dawn system conjugated to UCNPs, demonstrating improved tumor suppression with NIR light illumination through HlyE perforin expression and secretion. However, repeated NIR light irradiation at high intensity (0.6 W.cm−2) poses a risk of thermal tissue damage, and the need for continuous modification of bacteria with UCNPs raises concerns about potential toxicity when used in vivo (Gnach et al., 2015).

Red light-responsive optogenetic systems, including Cph1/OmpR (Schmidl et al., 2014), iLight (Kaberniuk et al., 2021), pREDusk (Multamäki et al., 2022), OptoCre-REDMAP (Jafarbeglou and Dunlop, 2024), and RfpABC (Sun et al., 2025), have been designed to control bacterial gene expression. However, the in vivo applicability of these systems remains limited due to low transcriptional activation and the need for continuous illumination. For instance, Fu et al. engineered an attenuated Pseudomonas aeruginosa strain with an NIR light-responsive diguanylate cyclase (BphS), which catalyzes the synthesis of the bacterial secondary messenger c-di-GMP and programmable bacterial lifestyle. NIR illumination triggers bacterial lysis and antitumor toxin HlyE release, resulting in tumor regression in A549 tumor mouse models (Fu et al., 2023). The NIR light-inducible NETMAP system, based on a chimeric bacteriophytochrome (PadC4), also demonstrated robust gene activation (up to 55-fold) (Qiao et al., 2025). PadC4 synthesizes c-di-GMP upon 710 nm NIR illumination, which activates the c-di-GMP-responsive activator MrkH to drive expression of multiple antitumor proteins via the PmrkA promoter in NETMAP-engineered Salmonella enteritidis 3934 ΔXIV cells, leading to tumor growth inhibition in multiple mouse models by inducing adaptive immune responses and promoting tumor cell apoptosis and lysis.

However, these systems depend on c-di-GMP, a bacterial secondary messenger that governs key processes including motility, cell cycle progression, biofilm formation, and virulence (Jenal et al., 2017). This reliance increases the risk of interference with host endogenous pathways, potentially disrupting bacterial physiology. An alternative approach involves orthogonal red light-inducible systems. Sun et al. developed a far-red light sensor in E. coli based on the knotless phytochrome RfpA and its cognate response regulators RfpC and RfpB (collectively termed RfpABC), achieving a maximum dynamic range exceeding 230-fold (Sun et al., 2025). Moreover, small red-light-sensitive proteins have been engineered as versatile optogenetic tools by selecting their specific binding partners through phage display (Le et al., 2025). When coupled with split enzymes (e.g., split-Cre or split-T7 RNA polymerase), these tools provide a pro missing platform for developing next-generation red-light-inducible gene expression systems in bacteria.

Temperature-responsive circuits

Although red light offers better tissue penetrability than blue light, its penetration depth is still limited to a few millimeters, thereby restricting the clinical application of light-based gene regulation. Consequently, developing engineered bacteria controllable by exogenous signals with enhanced tissue penetration represents a critical research direction.

Ultrasound and magnetic fields are increasingly explored in biomedical engineering owing to their non-invasiveness, spatiotemporal precision, safety, and deep tissue penetration (Maresca et al., 2018; Sitti and Wiersma, 2020). Ultrasound- or magnetic-induced gene expression systems typically exploit localized temperature increases by converting mechanical energy into heat, which can then trigger bacterial gene expression through temperature-sensitive genetic elements (Huang et al., 2021a; Liang et al., 2015). Various temperature-responsive systems have been engineered to control gene expression in bacteria, including the lambda phage-derived thermally inducible PL/PR promoters, temperature-sensitive variants of the phage lambda cI protein, and the thermolabile repressed protein TlpA (Fig. 2C). By selecting appropriate ultrasound or magnetic parameters, the target tissue can be kept within an optimal temperature range to initiate gene expression, enabling noninvasive and spatiotemporally controlled bacterial activation in deep tissues.

A temperature-induced system based on thermally inducible promoters PL/PR has been developed, which is regulated by the temperature-sensitive repressor TcI42 (Lewis et al., 2011). At 37°C, the TcI42 repressor constitutively prevents the expression of serine integrase Bxb1, which mediates DNA sequence inversion. Upon thermal stimulation at 42°C, relief of TcI42-mediated repression induces Bxb1 expression, which inverts the constitutive P7 promoter and strongly drives the expression of therapeutic payloads. Ultrasound-triggered release of immune checkpoint inhibitors (CTLA-4 and PD-L1) markedly suppressed tumor growth by activating in situ immune responses (Abedi et al., 2022). In another study, the gene encoding interferon-gamma (IFN-γ) was inserted downstream of the PL/PR promoters and regulated by temperature-sensitive mutant cI857 repressor in E. coli MG1655. Following intratumoral delivery, focused ultrasound was applied to raise the local temperature to 45°C, triggering IFN-γ expression and activating potent antitumor immunity in subcutaneous and orthotopic liver tumor models (Chen et al., 2022). However, heating tissues to 42–45°C can result in thermal injury to healthy tissues. Ideally, these systems should respond to lower temperatures (39–40°C) with higher controllability and sensitivity. Gao et al. (2024) constructed a sono-activatable integrated gene circuit (SINGER) system utilizing the temperature-sensitive repressor TlpA39, which responds to hyperthermia at 39°C. Upon ultrasound irradiation, SINGER produced therapeutic cargos (azurin or PD-L1 nanobody) that suppressed tumor progression and significantly extended survival in multiple mouse tumor models.

Ultrasound-related techniques, including positron emission tomography (PET) and magnetic resonance imaging (MRI), can be integrated with native or engineered bacteria to improve in situ visualization of tumors and bacterial localization (Kang and Min, 2021). When coupled with synthetic genetic circuits and biosensors, engineered bacteria can report on tumor presence, burden, and even microenvironmental conditions. Du et al. engineered E. coli MG1655 with the TcI repressor and PL/PR promoter to construct a real-time imaging-guided ultrasound activatable tumor-targeted therapy mode. Upon ultrasound-mediated activation, the expression of therapeutic molecule cytolysin and the optical imaging probe miRFP720 were enhanced. The fluorescence signal from miRFP720 enabled non-invasive monitoring of therapeutic expression levels in vivo. This imaging signal-guided approach allowed precise modulation of gene expression, maintaining therapeutic protein production at optimal levels and demonstrating efficacy (Du et al., 2025). Additionally, Yang et al. engineered E. coli MG1655 to biosynthesize gas vesicles (GVs), enabling real-time imaging to guide high-intensity focused ultrasound (hHIFU)-triggered IFN-γ expression, while further conjugating the bacteria with doxorubicin (DOX). In this design, IFN-γ activates cytotoxic immune cells, repolarizes macrophages from an immunosuppressive M2 phenotype to a proinflammatory M1 phenotype, and promotes dendritic cell (DC) maturation, while DOX is released within the acidic TME to induce immunogenic cell death. The synergistic action of IFN-γ and DOX stimulates tumor-specific T-cell responses, resulting in enhanced antitumor efficacy (Yang et al., 2024).

Fe3O4 nanoparticles are often used in conjunction with an alternating magnetic field (AMF) to convert magnetic energy into heat, which triggers engineered temperature-sensitive bacteria to express therapeutic proteins. For instance, E. coli BL21 was engineered with PL/PR promoters to drive expression of bacterial lysis proteins. Upon exposure to AMF signals, the Fe3O4 nanoparticles generate heat that induces the expression of lysis proteins, causing bacterial lysis and release of the pre-expressed anti-CD47 nanobody. This strategy enables spatially controlled release of immunotherapeutic drugs within the TME, minimizing systemic toxicity and offering precision tumor immunotherapy (Ma et al., 2023). However, this approach requires exogenous nanoparticle modification, which may raise safety concerns regarding off-target heating or potential toxicity to healthy tissues. Magnetotactic bacteria, inherently containing magnetic materials, are capable of sensing and responding to external magnetic fields without the need for synthetic nanoparticles. A magnetotactic bacteria-based platform has been developed for the mechanical modulation and suppression of tumor cells. Specifically, RGD (Arg-Gly-Asp) peptide-modified magnetotactic bacteria target and bind to tumor cell surfaces, inducing sustained magnetomechanical oscillations that trigger Ca2+ influx in vitro and inhibit tumor progression in vivo (Wang et al., 2022).

Recently, advanced thermal delivery techniques such as hHIFU and external beam radiation have been employed to achieve refined spatial heat control and to synergize with other therapeutic modalities. However, these approaches often require coupling agents and specialized equipment, increasing the complexity of clinical implementation.

Radiation-responsive circuits

Radiation possesses strong tissue-penetrating capabilities and can activate gene promoters responsive to DNA damage, enabling spatial and temporal control of gene expression while minimizing systemic toxicity (Noda et al., 2023). Radiation-induced systems in bacteria typically rely on the PRecA or PRecN promoters, which are integral components of the bacterial SOS DNA repair system that ensures genomic stability (Anderson and Kowalczykowski, 1998). Under non-activating conditions, the LexA repressor binds to a specific operator sequence (called SOS box), preventing transcription. When DNA damage occurs, such as through X-ray irradiation, RecA or RecN forms a complex with single-stranded DNA, triggering the autoproteolysis of the repressor and initiating transcription (Fig. 2D). To improve the efficiency of radiation-inducible systems, a CheO box was incorporated into the PRecA promoter region, significantly increasing mTNF-α secretion—by approximately 10-fold—following irradiation in Clostridium (Nuyts et al., 2001a). Ganai et al. engineered S. typhimurium to express murine TNF-related apoptosis-inducing ligand (TRAIL) under the control of PRecA promoter. Following 2 Gy γ-irradiation, the engineered S. typhimurium significantly delayed growth of mammary tumors and reduced tumor-related death by 76% in murine models (Ganai et al., 2009). Additionally, EcN was engineered with a radiation-inducible PRecA promoter to release anti-TREM2 scFv, which precisely targets TREM2-expressing TAMs via OMVs. Under 8 Gy X-ray irradiation, orally administered engineered EcN significantly improved therapeutic efficacy in both orthotopic low rectal cancer and AOM/DSS-induced colorectal cancer models (Wang et al., 2025c).

The PRecN promoter, with lower basal activity compared to the PRecA promoter, is particularly suitable for tumor therapy applications, as its minimal leakage reduces the risk of off-target toxicity (Nuyts et al., 2001b). An attenuated S. typhimurium KST0649 strain was genetically modified to express spliced activating transcription factor 6 (sATF6) under the radiation-inducible PRecN promoter, enabling dose-dependent expression of therapeutic proteins in response to irradiation. This strategy led to complete suppression of tumor growth and survival protection in murine tumor models (Gao et al., 2020). Despite these advances, radiation-inducible systems exhibit basal leakiness. Furthermore, deep-seated tumors require high-energy radiation for adequate tissue penetration, which could increase the risk of damage to surrounding healthy tissues.

Autonomous bacterial signal-responsive gene circuits

A distinct class of gene expressed systems repurpose intrinsic bacterial biological processes—such as population communication and host interaction responses—into precise therapeutic triggers. These systems exploit endogenous bacterial signals that are selectively amplified within the TME. Broadly, bacterial self-triggering mechanisms can be classified into three categories: quorum sensing (QS), nitric oxide-responsive activation, and invasion-responsive activation (Fig. 3A). Bacterial self-triggering mechanisms for antitumor effects are summarized and displayed in Table 2.

Quorum sensing-driven circuits

QS is a bacterial cell–cell communication mechanism that modulates population density-dependent behaviors through the accumulation of diffusible signaling molecules. Once these molecules reach a certain concentration, they interact with regulatory proteins to induce target gene expression through QS promoter (Waters and Bassler, 2005). Since bacteria reach high densities specifically within the TME, QS systems have been exploited to induce tumor-specific expression of therapeutic proteins (Swofford et al., 2015). The most widely used QS system is derived from V. fischeri and comprises the transcriptional regulator LuxR, the signaling molecule acyl-homoserine lactones (AHLs) synthase LuxI, and an intergenic luxR-luxI region harboring the PluxR and PluxI promoters (Stevens and Greenberg, 1997).

Dessel et al. emphasized QS as a promising tool for cancer treatment, enabling targeted drug delivery to tumors while minimizing toxicity to normal tissues (Swofford et al., 2015). Subsequently, Tal Danino et al. developed a synchronized lysis circuit (SLC) in which bacteriophage-derived lysis genes are expressed under QS control for tumor therapy. Specifically, the SLC consists of a common PluxI promoter that regulates the production of the autoinducer (AHL), which binds to LuxR and activates transcription (positive feedback), along with a lysis protein (ϕX174 E) also controlled by the PluxI promoter. As AHL diffuses to neighboring cells at a threshold population density, it triggers the release of genetically encoded cargo. After bacterial lysis, a small number of remaining bacteria begin to produce AHL anew, enabling continuous drug delivery within tumors (Din et al., 2016). The SLC has been used to release various therapeutic proteins, including antagonist of CD47 nanobody (CD47nb) (Chowdhury et al., 2019), programmed cell death-ligand 1 (PD-L1) nanobody, cytotoxic T-lymphocyte-associated protein-4 (CTLA-4) nanobody, granulocyte-macrophage colony-stimulating factor (GM-CSF) (Gurbatri et al., 2020, 2024), IFN-γ (Li et al., 2024b), tumor necrosis factor superfamily member 14 (TNFSF14) (Mi et al., 2025), and chemokines such as hCXCL13 (Rouanne et al., 2024), CXCL16, and CCL20 (Savage et al., 2023), facilitating immune cell recruitment and activation and enhancing antitumor immunity.

QS-based systems enable autonomous regulation with spatial and temporal precision, confining bacterial activity to tumors and facilitating continuous therapeutic delivery. However, these systems rely on achieving a threshold bacterial density, which may be difficult to reach in heterogeneous tumor regions, particularly in micro-metastases or invasive fronts. Moreover, the use of bacteriophage-derived lysis genes exerts selective pressure, leading to compensatory mutations that may reduce therapeutic payload release.

Nitric oxide-responsive circuits

S. typhimurium infiltrating tumors has been reported to upregulate nitric oxide synthase (iNOS) expression, causing nitric oxide (NO) levels to increase by as much as 1000-fold, reaching micromolar concentrations within tumor tissue (Barak et al., 2010). Wang et al. designed an NO-inducible system based on the regulatory protein NorR and the PnorV promoter, which responds to increased NO. Without NO, NorR interacts with its binding site within the PnorV promoter, obstructing RNA polymerase recruitment and repressing transcription. Upon NO binding, NorR undergoes a conformational change, activating transcription from the PnorV promoter. This system drives the DNA recombinase FimE expression, which irreversibly inverts the fimS switch to sustain target gene expression. In vivo results demonstrated high tumor-to-normal organ ratios for the target gene Rluc8, confirming tumor-specific activation (Qin et al., 2023). These findings indicate that NO serves as a promising inducer for precise spatial control of target gene expression by tumor-targeting bacteria. However, integrating potent therapeutic genes into this NO-responsive genetic circuit is essential for demonstrating antitumor efficacy in rigorous preclinical models.

Invasion/intracellular niche-responsive circuits

Bacteria can be classified as either intracellular or extracellular based on the parasitism site. Extracellular bacteria reside and proliferate outside host cells, such as Bacillus anthracis, Staphylococcus aureus, Pseudomonas aeruginosa, Helicobacter pylori, and E. coli (Lynch et al., 2022). In contrast, intracellular bacteria, such as Fusobacterium, Mycobacteria, Shigella, Brucella, Listeria, Salmonella, and Rickettsia, inhabit and replicate within host cells (Méresse et al., 1999). A widely studied Salmonella utilizes a type 3 secretion system (T3SS)—needle-like complexes spanning the bacterial inner and outer membranes—to deliver effectors into host cells (Kubori et al., 1998). After entering the host cell cytoplasm, Salmonella forms the Salmonella-containing vacuole (SCV), and the intracellular metabolic signals (e.g., low pH and low phosphate) trigger the expression of the Salmonella pathogenicity island 2 (SPI-2) and T3SS-2 genes (Steele-Mortimer, 2008). The T3SS needle complexes then penetrate through the SCV membrane, enabling payload protein secretion into the host cytosol.

The unique invasive properties and intracellular lifecycle of intracellular bacteria present a promising opportunity for engineering novel tumor therapy approaches. Wu et al. developed an efficient SARS-CoV-2 vaccine using Salmonella engineered with the SPI-2-specific PsifB promoter. This system enabled high-efficiency delivery of SARS-CoV-2 antigens to antigen-presenting cells (APCs). After co-incubation with macrophages, the PsifB promoter was activated, driving expression of recombinant SARS-CoV-2 antigens, which were delivered via the SPI-2 effector protein sseJ (Wu et al., 2022).

The intrinsic invasion and survival machinery of intracellular bacteria enable the delivery of therapeutic proteins directly into cancer cells. Raman et al. developed an intracellular delivery (ID) system based on the S. typhimurium VNP20009, containing an SPI-2-specific genetic circuit (PsseJ-lysE). In tumors, Salmonella naturally invades cancer cells, where the PsseJ promoter activates lysE expression, resulting in bacterial lysis and the release of constitutively expressed therapeutic proteins (e.g., Casp-3, ovalbumin) into the cytoplasm of infected cells. This targeted delivery approach significantly decreased tumor growth and reduced established metastases in a 4T1 murine breast cancer model (Raman et al., 2021, 2023). Additionally, the ID system-engineered Salmonella has been used to deliver plasmid DNA. Khanduja et al. developed a virus-delivering Salmonella-based platform to deliver the genome of the oncolytic virus minute virus of mice (MVMp) into cancer cells. Following bacterial invasion and lysis, the plasmids encoding the MVMp genome were released and produced infectious virions, leading to selective oncolysis of the infected tumor cells (Khanduja et al., 2024).

However, the SCV physically confines bacteria and limits the transport of the host cytosol, restricting delivery efficiency. Singe et al. co-expressed hemolysin E (HlyE), a pore-forming toxin, under the PsseJ promoter to disrupt SCV membranes and facilitate vacuolar escape (Nguyen and Portnoy, 2020). Deletion of the sifA gene, which destabilizes the SCV membrane, also enhances the delivery efficiency of bacterial cargo (Beuzón et al., 2000; Schroeder et al., 2010). An optimized delivery system has successfully delivered oncolytic Seneca Valley virus RNA into tumor cells, initiating robust oncolytic viral replication, leading to complete regression of subcutaneous small cell lung cancer (SCLC) tumors and achieving 100% survival in treated mice (Singer et al., 2025).

The bacterial T3SS in Yersinia enterocolitica, which enables the delivery of therapeutic proteins into eukaryotic tumor cells, has reached phase III clinical trials. However, bacterial invasion lacks inherent specificity, posing a potential limitation (Ittig et al., 2015). Salmonella re-expressing flhDC under an arabinose-induced promoter demonstrated specific invasion efficiency in the tumor, improving invasion in 84% of host cells compared to knockout controls (Raman et al., 2021). Another strategy involves surface display of synthetic adhesins on the bacterial outer membrane, such as an epidermal growth factor receptor (EGFR) nanobody, enabling specific binding to tumor cells and improving the selectivity of the T3SS system for protein cargo delivery (Asensio-Calavia et al., 2024). However, most intracellular bacteria are pathogenic species, limiting their clinical application due to inherent virulence (Carlsson and Brown, 2006; Ray et al., 2009). Strategies to mitigate this issue include the construction of auxotrophic strains and the deletion of virulence genes. Alternatively, introducing functional T3SS into nonpathogenic strains represents a promising approach to achieve safe and effective ID (Reeves et al., 2015).

Tumor microenvironment-responsive gene circuits

Besides external inducers, engineered bacteria can intelligently decode pathological signals within tumors to actuate spatially precise therapeutic gene expression. This approach capitalizes on bacterial innate sensing mechanisms coupled with synthetic gene circuits that transduce tumor-specific microenvironment cues into localized anticancer responses. In contrast to externally triggered gene expression and bacterial self-triggering systems, tumor-specific pathological signal-responsive systems enable regulating bacterial activity within tumors, eliminating the need for complex external control.

Following systemic administration, therapeutic bacteria distribute to the tumor as well as normal tissues. While bacteria in normal tissues are rapidly eliminated within hours and days, those within tumors persist, proliferate, and evade immune responses. Tumor-induced angiogenesis acts as a major contributing factor in this process by facilitating the delivery of oxygen and nutrients. Nevertheless, the abnormal, leaky, and poorly organized structure of tumor blood vessels hinders immune cell infiltration. In addition, hypoxic and inflammatory lesions generate microenvironments that support the survival and expansion of anaerobic and facultative anaerobic bacteria (Clairmont et al., 2000; Min et al., 2008; Quispe-Tintaya et al., 2013). Tumor tissues typically have oxygen concentrations below 1%–2%, markedly lower than 4.6%–9.5% found in normal tissues (Xin et al., 2023). Similarly, the extracellular pH of the TME (6.5–6.9) is consistently lower than that of normal tissues (∼7.3) (Estrella et al., 2013). These unique physicochemical characteristics of the TME can serve as physiological and pathological signals to activate engineered bacterial gene expression in a tumor-specific manner (Fig. 3B). The tumor-specific pathological signals to induce antitumor effects are summarized in Table 3.

Hypoxia-responsive circuits

Hypoxia-responsive gene expression systems are based on the fumarate and nitrate reduction (FNR)-like transcriptional regulator, which is naturally present in facultatively anaerobic bacteria such as Escherichia and Salmonella (Mazoch and Kucera, 2002). Under hypoxic conditions, FNR forms a homodimer by coordinating with [4Fe–4S]2+ cluster and binding to palindromic DNA sequences to promote transcription. Under normoxic conditions, the clusters are degraded, leading to dissociation of the FNR dimer into inactive monomers, which suppresses transcription (Crack et al., 2004).

Several hypoxia-responsive promoters, including PpepT (Strauch et al., 1985), PpfE, PansB (Arrach et al., 2008), PfnrS (Durand and Storz, 2010), and PadhE (Chen et al., 2011), are transcriptionally regulated by FNR. To enhance specificity and reduce leaky expression under normoxic conditions, researchers have engineered optimized promoter variants with modified FNR-binding sites (Yang et al., 2025a). These variants, such as HIP-1 (Mengesha et al., 2006) and FF+20 (Ryan et al., 2009), amplify expression in hypoxia while minimizing leaky expression in normoxia. This hypoxia-inducible strategy serves two therapeutic purposes: improving tumor-targeted therapy and enhancing safety.

Hypoxia-responsive PfdhF promoter restricts CD47 antibodies gene expression to hypoxic tumor regions, reducing off-target effects in normal tissues and boosting macrophage antitumor activity (Xie et al., 2025). Leventhal et al. (2020) designed SYNB1891, a living probiotic that produces dacA from Listeria monocytogenes to activate STING, triggering type I interferons under hypoxia-responsive PfnrS promoter. Additionally, hypoxia-responsive promoters can drive the expression of essential genes, such as asd in asd-deleted bacterial strains, to restrict bacterial proliferation within hypoxic tumor zones, thereby minimizing damage to healthy tissues (Chang et al., 2025; Yu et al., 2012).

Acidity-responsive circuits

Another hallmark of the TME is its acidity, which results from the metabolic reprogramming of cancer cells. Even under normoxic conditions, cancer cells display the Warburg effect—characterized by elevated glucose consumption and lactate generation—leading to acidification of the extracellular space, with pH values typically ranging from 6.5 to 6.9 (Chen et al., 2025; Gerweck and Seetharaman, 1996).

Using a bioluminescent transposon-based reporter trap, Flentie et al. screened S. typhimurium for genes controlled by five pH-sensitive promoters: PadiY, PyohJ, PSTM1787, PSTM1791, and PSTM1793. By coupling the PSTM1787 promoter to Shiga toxin expression, they demonstrated the feasibility of a bacteria-mediated tumor-specific therapeutic strategy, showing a 90-fold increase in gene expression within 8 h of exposure to acidic tumor conditions (Flentie et al., 2012). Similarly, the PadiA promoter, which responds to acidic conditions, was used to drive cytolysin A (ClyA) expression in the E. coli MG1655 strain, demonstrating pH-sensitive regulation of therapeutic protein expression (Qin et al., 2022). Another example involves the membrane-integrated transcriptional activator CadC and its cadBA operon, which show increased activity in acidic medium compared to neutral pH, particularly at pH levels around 5.8 (Tetsch et al., 2011). Chien et al. (2022) transformed the CadC system expressing enhanced green fluorescent protein (EGFP) into S. typhimurium ELH1301 and observed an increase in total fluorescence within the acidic core of tumor spheroids.

Lactate-responsive circuits

Lactate, a byproduct of aerobic glycolysis, dramatically increases in solid tumors and is considered as a signaling molecule regulating cancer cell behavior, tumor–stroma interactions, and immune responses (de la Cruz-López et al., 2019). While normal serum lactate levels range from 1.5 to 3 mmol/L, concentrations within the tumor rise to 10 to 30 mmol/L, and may exceed 50 mmol/L in necrotic tumor cores (Watson and Delgoffe, 2022). Under lactate-deficient conditions, LldR dimers bind to operator sites O1 and O2 within the PlldPRD promoter, forming a tetramer that represses transcription. In the presence of lactate, the LldR dimer at O2 dissociates, while the dimer at O1 functions as a transcriptional activator, initiating gene expression. LldR from Corynebacterium glutamicum is preferred for sensor design due to its insensitivity to glucose and anaerobic conditions (Georgi et al., 2008).

Engineered S. typhimurium incorporating a hypoxia sensor (PPepT promoter) and a lactate sensor (PLldR promoter and LldR protein) was programmed with an AND gate so that transgene expression occurred only under concurrent hypoxia and elevated lactate (Chien et al., 2022). This dual-input design enhanced tumor specificity while minimizing off-target activation. However, the LldR-based lactate-responsive system is partially repressed by glucose and anaerobic conditions. Zúñiga et al. engineered a hybrid promoter through directed evolution of LldR operators in E. coli (named ALPaGA). This optimized promoter eliminated glucose catabolite repression and oxygen-dependent transcriptional regulation, achieving ∼6.2-fold induction under aerobic, glucose-rich conditions and ∼5.3-fold under anaerobic, glucose-rich conditions (Zúñiga et al., 2021). Building upon these foundations, a novel lactate-induced system was developed with specificity for high lactate concentrations (>5 mmol/L) typical of the TME, independent of glucose and oxygen. By regulating the expression of essential genes such as aspartate-semialdehyde dehydrogenase and coagulase, bacterial growth was restricted to tumor tissues, preventing leakage of therapeutic proteins into normal organs (Zou et al., 2025).

Although tumor-specific pathological signals responsive systems are widely used to achieve high-level expression of therapeutic genes, many native promoters exhibit relatively narrow dynamic ranges. This can limit their effectiveness in vivo, as inadequate or excessive basal expression of payloads can compromise efficacy and safety. Additionally, the TME exhibits substantial heterogeneity between different tumor samples (Group Young Researchers In Inflammatory et al., 2021). Hypoxic and acid regions within tumors, with dynamic changes in proximity to blood vessels, lead to fluctuations in bacterial sensing signals (Samuel et al., 2023). Moreover, micro-metastases (<2 mm) lack a fully developed TME, presenting challenges for TME-responsive therapeutic strategies.

Matrix metalloproteinases (MMPs), frequently overexpressed in the TME, have emerged as promising tumor-specific molecular cues (Kessenbrock et al., 2010). In a reported approach, several neoantigen peptides were attached to the outer membrane of S. typhimurium via an MMP-cleavable linker. Upon tumor infiltration, the engineered Salmonella released the neoantigens in response to elevated MMP levels, enabling localized recruitment and activation of lymphocytes, thereby suppressing tumor growth (Hyun et al., 2021). Recently, an engineered EcN-expressing MMP-sensitive interleukin-15 (IL-15) enabled TME-responsive IL-15 delivery. When combined with photothermal therapy, this system amplified the antitumor effect by promoting the recruitment of APCs and T cells, as well as the expansion of T and NK cells (Wang et al., 2025b). However, pre-expression of neoantigens on the bacterial surface before intravenous administration may lead to premature immune activation during systemic circulation. Therefore, it is essential to develop systems that sense tumor-specific macromolecules and connect cellular signaling to the regulation of gene expression in bacteria.

While synthetic receptors can sense TME components (e.g., tumor antigens, cytokines) for cell-based therapies, translating this strategy to bacteria remains challenging. Specifically, the double-membrane envelope structure of Gram-negative bacteria and the thick peptidoglycan layer of Gram-positive bacteria pose physical barriers to effective recognition and interaction with extracellular signals.

Overcoming this limitation requires new strategies to couple tumor extracellular antigen detection with intracellular bacterial signal transduction. Additionally, metabolic reprogramming offers another avenue for designing context-specific bacterial responses, including the dysregulated availability of glucose, lipids, amino acids, and oxygen (Demicco et al., 2024). Canale et al. developed an engineered EcN by deleting the arginine repressor gene (ArgR) and integrating ArgAfbr to enhance l-arginine production. When ammonium chloride was used as the sole nitrogen source, the engineered bacteria converted intratumoral ammonia into l-arginine, increased local l-arginine levels, promoted T-cell infiltration, and improved the efficacy of anti-PD-L1 treatment (Canale et al., 2021). The complex metabolism within the TME highlights the need for deeper investigation, which could inform the design of next-generation bacterial gene circuits capable of precise, context-dependent regulation of therapeutic functions.

Clinical translation of engineered oncolytic bacteria

In 1891, William Coley pioneered the use of live bacteria in cancer therapy by administering Streptococcus to treat bone sarcomas. Although this approach induced tumor regressions, it also led to infection-related fatalities in multiple patients (Nauts et al., 1946). The subsequent bacterial cancer therapy involved intravesical Bacillus Calmette-Guérin (BCG), a live-attenuated M. bovis, now employed for the treatment of non-muscle-invasive bladder cancer (Lamm et al., 1980). Intravesical BCG became the first bacterial cancer therapy to gain FDA approval in 1990. Various bacterial strains—including human pathogens such as Salmonella spp., Listeria spp., and Clostridium spp., as well as probiotics like E. coli Nissle 1917, Lactobacillus spp., and Bifidobacterium spp.—have been explored for anticancer applications, with Salmonella and Listeria receiving the most attention for cancer therapy (Forbes et al., 2018).

To address safety concerns associated with wild-type bacteria causing systemic immune responses, various attenuated strains have been engineered to improve safety profiles while retaining therapeutic efficacy, making them more suitable for clinical application (Table 4). For example, VNP20009, derived from S. typhimurium ATCC14028, carries deletions of the purI and msbB genes, leading to a safer profile through genetically attenuated virulence, reduced septic shock potential, and antibiotic susceptibility (Clairmont et al., 2000). The S. typhimurium ΔppGpp strain, a relA and SpoT double mutant, is unable to synthesize the stringent response regulator ppGpp, demonstrating a virulence in extensive murine models (Na et al., 2006). Another attenuated S. typhimurium strain, SL7207, contains a deletion in the aroA gene, rendering it incapable of synthesizing aromatic amino acids and restricting its proliferation to the nutrient-rich TME (Medina et al., 1999). The S. typhimurium A1-R strain, a leucine and arginine auxotroph, was developed through nitrosoguanidine (NTG) mutagenesis and is designed to selectively grow in tumors where these nutrients are abundant (Zhao et al., 2005). The phoP/phoQ two-component regulatory system of Salmonella regulates genes associated with virulence and survival within macrophages; deletion of both phoP and phoQ reduced virulence and enhanced safety (Miller et al., 1989). Additionally, S. typhimurium YB1, which lacks the essential asd gene, has been engineered to restrict bacterial growth to hypoxic tumor regions by controlling the gene under a hypoxia-inducible promoter (Yu et al., 2012).

Listeria has been widely explored as a cancer vaccine vector due to its unique intracellular lifecycle. Following invasion, Listeria expresses listeriolysin O (LLO), which forms pores in the phagosome, allowing bacterial translocation into the cytosol and promoting major histocompatibility complex class I (MHC-I)-mediated protein presentation (Ikonomidis et al., 1994). To improve safety, attenuated Listeria strains with reduced virulence have been developed. For example, deletion of the dal and dat genes—responsible for d-alanine synthesis—impairs cell wall biosynthesis and intracellular replication (Wallecha et al., 2009). Deletion of the prfA gene, the master regulator of Listeria virulence, must be complemented with a prfA-containing plasmid (Freitag et al., 1993). Additionally, deletion of actA and inlB attenuates intercellular spread, preventing invasion of non-phagocytic cells and minimizing systemic dissemination (Brockstedt et al., 2004).

Advances in synthetic biology expand the potential of oncolytic bacteria for cancer therapy. Several engineered strains exhibit promising antitumor effects in preclinical models, enabling precise genetic control, payload customization, and enhanced tumor specificity (Sieow et al., 2021). Currently, engineered oncolytic bacterial strains are undergoing clinical trials (Table 5). These engineered bacteria enhance tumor susceptibility by remodeling the TME, either through the presentation of tumor-associated antigens (TAAs) or the delivery of immune modulators, mitigating cytotoxic T-cell exhaustion. For example, a phase I trial of genetically modified Bifidobacterium longum expressing interleukin-12 (IL-12) is underway to stimulate local and systemic immune responses (NCT04025307), while oral S. typhimurium expressing IL-2 is being tested in patients with metastatic pancreatic cancer (NCT04589234). A first-in-human trial is evaluating a genetically modified Yersinia enterocolitica strain (T3P-Y058-739) using T3SS to inject therapeutic proteins directly into tumor cells (NCT05120596), aiming to overcome PD-1-mediated cytotoxic T-cell exhaustion. Engineered L. monocytogenes strains, such as Axalimogene filolisbac (NCT02399813), have shown promise in delivering HPV-16 E7 oncoprotein for cervical cancer patients. Additionally, a recent Phase I clinical trial is evaluating the intratumoral injection of S typhimurium-expressing l-methioninase, aiming to starve tumors of essential amino acids as a novel strategy (NCT05103345).

Despite significant progress in clinical trials, most engineered oncolytic bacterial therapies remain in early phases, with most advanced trials in Phase II. The delayed clinical translation is largely due to inconsistencies between preclinical findings and clinical outcomes. Factors such as bacterial accumulation, tumor colonization, immune response elicitation, and immune system clearance in different species and individuals vary widely. Nonetheless, the development of new engineered bacterial therapeutics continues, with an increasing number of bacterial-based therapies progressing to clinical trials. Precision-controlled oncolytic bacteria hold the potential to deliver immune modulators in combination with immune checkpoint inhibitors (ICIs), potentially overcoming resistance to ICIs and boosting host antitumor immunity.

Future perspectives

Engineered live oncolytic bacteria as “microbial factories” hold the potential to continuously produce multiple therapeutic proteins within tumors, enabling them to fight cancer more effectively. The success of this strategy depends on selecting an optimal bacterial chassis, as different strains exhibit distinct characteristics, including tumor-specific colonization capacity, inherent oncolytic mechanisms, immunomodulatory properties, and genetic tractability. To minimize off-target toxicity, attenuated bacterial strains have been developed through preclinical engineering, enabling preferential tumor targeting. Further precision is achieved by integrating genetically encoded circuits that restrict bacterial activation or proliferation to inducible gene circuits. Therapeutic payloads can be customized to meet the specific needs of different tumor contexts: for “hot” tumors, bacteria deliver immunomodulators (e.g., cytokines, tumor antigens) to amplify antitumor immunity; while for “cold” tumors, they express direct-killing effectors (e.g., toxins, apoptosis proteins) to overcome poor immune infiltration.

The integration of reporter genes (e.g., luciferase, fluorescent proteins) allows for non-invasive imaging to track bacterial distribution and therapeutic efficacy in real-time, integrating therapeutic and diagnostic functions in a single platform. This review focuses on inducible gene expression systems for precise tumor therapy and clarifies mechanisms triggered by external signals, bacterial invasion, and tumor-specific pathological signals. We discuss key design considerations, types of inducers, and therapeutic payloads in different inducible gene circuits (Tables 1–3), providing a reference for optimizing bacterial-mediated therapy and advancing its clinical applicability.

Although external signal-induced gene expression offers greater controllability and precise temporal regulation, tumor-specific pathological signal-triggered systems enable intelligent, self-regulating responses to tumor microenvironment (TEM) cues. These systems utilize feedback mechanisms where bacteria sense tumor-specific signals (e.g., hypoxia, acidosis) and dynamically modulate therapeutic output, achieving theranostic control. By designing tumor-specific pathological signal-triggered systems, therapeutic release can be molecularly tethered to tumor-specific signals in both time and space, enabling bacteria to adapt to tumor progression. Logic-gate designs can enhance precision in tumor therapy. For example, E. coli Nissle 1917 has been engineered to release hemolysin under TME conditions of hypoxia, low pH, and high lactate levels, implementing an XOR amplifier to target colorectal cancer (Zhou et al., 2024a). Similarly, an AND logic gate was constructed in E. coli Nissle 1917, ensuring therapeutic protein release only in the presence of both lactate and AHL, minimizing leakage (Zou et al., 2025). These highlight the potential of logic gate engineering in the development of intelligent bacterial theranostic systems.

Moreover, engineered live oncolytic bacteria combined with other antitumor strategies like nanomaterials, ICIs, and oncolytic virus therapy, can enhance therapeutic coverage, overcome monotherapy limitations, and amplify tumor-killing capacity (Fig. 4). Clinical studies have demonstrated encouraging results in combining immunotherapies and chemotherapeutic agents (Table 5).

Integration with nanomaterials

The development of intelligent nanobiohybrids is a promising area of research for effective cancer treatment. Nanomaterials can encapsulate bacteria as drug factories, while also integrating nanophotosensitizers or acoustic sensitizers for synergistic therapies. Nanomedicine improves the efficiency of engineered bacteria, and the bacteria, in turn, augment the performance of the nanomedicine (Zhou et al., 2024b). For example, Xie et al. used cis-aconitic anhydride to conjugate DOX onto EcN, achieving TME-triggered chemotherapy with DOX levels 6.1-fold higher in tumors than with non-conjugated cells (Shirai and Tsukada, 2020). A biohybrid microrobotic platform composed of engineered motile bacteria, magnetic nanoparticles (mNPs), and pH- and light-responsive nanoliposomes (NLs) for DOX delivery allows spatiotemporally controlled release of therapeutic agents at the target site (Akolpoglu et al., 2022). Additionally, bacteria functionalized with paramagnetic Fe3O4 nanoparticles (Ma et al., 2023) or BaTiO3 nanocubes (Fan et al., 2024) effectively targeted orthotopic colon tumors. These combined approaches demonstrated the promising potential of engineered bacteria with nanomaterials for cancer therapy.

Combination with immune checkpoint inhibitors

Engineered bacteria represent a promising strategy to augment cancer immunotherapy by remodeling the TME and improving immune responses (Wang et al., 2025a). ICIs are often limited by poor immune cell infiltration and a highly immunosuppressive TME, which is enriched with regulatory cells (e.g., regulatory T cells, myeloid-derived suppressor cells) and inhibitory cytokines (e.g., TGF-β, IL-10). Recently, genetically modified EcN has been engineered to convert TME metabolic byproducts, such as ammonium, into l-arginine, thereby promoting tumor-infiltrating T cells and enhancing the anti-PD-L1 therapy (Canale et al., 2021). Similarly, engineered Clostridium butyricum strains expressing tryptophan synthesis genes (trpEDCBA) have shown enhanced metabolic activities of CD8+ T cells, resulting in synergistic antitumor effects when combined with PD-L1-blocking antibodies (Wang et al., 2024).

Some bacterial species have a natural function for remodeling the TME. For example, the metabolite indole-3-aldehyde (I3A) produced by Lactobacillus reuteri, as well as indole-3-propionic acid (IPA) generated collaboratively by Lactobacillus johnsonii and Clostridium sporogenes, can enhance T-cell function within the TME and counteract the immunosuppressive effects of tumors, improving the efficacy of immune checkpoint blockade therapies (Jia et al., 2024; Phelps et al., 2025). A recent study also demonstrated that exercise-induced gut microbial one-carbon metabolism enhances cytotoxic CD8+ T-cell (Tc1)-mediated ICI efficacy in melanoma suppression (Bender et al., 2023). Future research could focus on reprogramming TME metabolic patterns by engineering bacteria to facilitate this strategy.

Synergy with CAR-T (chimeric antigen receptor T) or CAR-NK (chimeric antigen receptor natural killer) cells

Bacteria-based cross-kingdom combination therapies offer a promising strategy to improve CAR-T efficacy in solid tumors. Solid tumors pose greater challenges for CAR-T therapy due to the limited availability of conserved, tumor-restricted antigens, which increases the risk of off-target toxicity in healthy tissues. By delivering synthetic antigens within the TME, bacteria enable more precise recognition and targeting of solid tumors by CAR-T cells. For instance, E. coli Nissle 1917 was engineered to deliver synthetic antigens (green fluorescent protein GFP) to guide CAR-T cells to solid tumors (Vincent et al., 2023). Similarly, E. coli DH5α expressing DR18 enhances tumor trafficking and therapeutic efficacy of CAR-NK cells in mesothelioma models, significantly improving tumor control and survival (Yang et al., 2025b).

Conjunction with oncolytic viruses

Oncolytic viruses, which specifically target, replicate, and destroy cancer cells, have shown promise when combined with bacterial therapies. For example, tumor-homing bacteria can serve as vectors for the delivery of an oncolytic virus (Singer et al., 2025). Another strategy involves combining oncolytic viruses with the surface of engineered bacteria to improve tumor targeting. E. coli BL21, due to its capacity to bind oncolytic adenovirus via lipids, can increase oncolytic adenovirus accumulation in non-small cell lung tumors by approximately 170 times compared to intravenous administration of naked oncolytic adenovirus. This combination significantly decreases tumor growth and increases mouse survival (Sun et al., 2022).

Utilization of bacterial outer membrane vesicles

Bacterial OMVs have emerged as effective nanodrug delivery systems for cancer therapy. OMVs offer unique advantages over live bacteria, including enhanced safety profiles that reduce the risks of infection, while certain native OMVs mediate potent antitumor effects (Li et al., 2024a). OMVs have been studied as vaccines for tumor antigen (Ag) delivery. For instance, engineered E. coli expressing a tumor antigen (ClyA-Ag-mFc) in OMVs were internalized by DCs in the gut, followed by lymph node drainage and tumor antigen presentation, modulating immune responses (Yue et al., 2022). OMVs can also serve as RNA delivery systems, providing stability and sustained delivery for various RNA types, including mRNA, miRNA, and siRNA. For example, Li et al. engineered OMVs as a platform for mRNA delivery (OMV-LL-mRNA) by decorating their surface with the RNA-binding protein L7Ae, which specifically adsorbs box C/D sequence-labelled mRNA antigens. These OMVs, carrying a lysosomal escape protein LLO, delivered the mRNA into DCs, significantly inhibiting melanoma progression and causing 37.5% complete regression in a colon cancer model (Li et al., 2022). Similarly, E. coli Nissle 1917 ΔnlpI was used to deliver PD-L1 siRNA for tumor treatment, effectively downregulating PD-L1 gene expression by approximately 2-fold and achieving 49.37% tumor suppression in a 4T1 tumor model (Sun et al., 2024). Su et al. developed genetically engineered bacterial OMVs to deliver transferrin receptor lysosome targeting chimera (TfR-LYTAC) to induce lysosomal degradation of extracellular PD-L1 in tumor cells, resulting in 60% complete tumor regression and survival beyond 90 days in CT26 colon carcinoma-bearing mice (Su et al., 2024).

Conclusion

Advances in synthetic biology are equipping bacterial therapeutics with heightened sensitivity and the capacity to process orthogonal inputs, establishing the foundation for truly precision oncology. Engineered bacteria can be programmed to preferentially accumulate in tumors, remodel the immune microenvironment, and release therapeutic agents with tight spatial and temporal control to improve therapeutic efficacy while minimizing off-target effects. These features position oncolytic bacteria as responsive, modular “living medicines” with an improved safety profile. At the same time, the complex relationship between the microbiome and cancer warrants careful consideration: while certain microorganisms can promote tumor initiation or metastatic spread (Ayabe and White, 2024; El Tekle and Garrett, 2023), elucidating these mechanisms will inform chassis selection, circuit design, and patient stratification. Looking ahead, translational success will hinge on robust biocontainment (auxotrophy, kill-switches, genetic firewalls), manufacturability and dosing standardization, mitigation of horizontal gene transfer, and rational combinations with immunotherapies and conventional modalities. With these elements in place, engineered bacteria are poised to deliver safer, more effective, and personalized cancer treatments.

References

[1]

Abedi MH, Yao MS, Mittelstein DR et al Ultrasound-controllable engineered bacteria for cancer immunotherapy. Nat Commun 2022;13:1585.

[2]

Akolpoglu MB, Alapan Y, Dogan NO et al Magnetically steerable bacterial microrobots moving in 3D biological matrices for stimuli-responsive cargo delivery. Sci Adv 2022;8:eabo6163.

[3]

Anderson DG, Kowalczykowski SC. Reconstitution of an SOS response pathway: derepression of transcription in response to DNA breaks. Cell 1998;95:975–979.

[4]

Arrach N, Zhao M, Porwollik S et al Salmonella promoters preferentially activated inside tumors. Cancer Res 2008;68:4827–4832.

[5]

Asensio-Calavia A, Mañas C, Cabrera-Fisac A et al Synthetic bacteria with programmed cell targeting and protein injection suppress tumor growth. bioRxiv, doi.org/10.1101/2024.04.22.590337, 22 April 2024, preprint: not peer reviewed.

[6]

Ayabe RI, White MG. Metastasis and the microbiome: the impact of bacteria in disseminated colorectal cancer. Front Biosci 2024;29:152.

[7]

Balzer S, Kucharova V, Megerle J et al A comparative analysis of the properties of regulated promoter systems commonly used for recombinant gene expression in Escherichia coli. Microb Cell Fact 2013;12:26.

[8]

Bansal A, Shikha S, Zhang Y. Towards translational optogenetics. Nat Biomed Eng 2023;7:349–369.

[9]

Barak Y, Schreiber F, Thorne SH et al Role of nitric oxide in Salmonella typhimurium-mediated cancer cell killing. BMC Cancer 2010;10:146.

[10]

Bender MJ, McPherson AC, Phelps CM et al Dietary tryptophan metabolite released by intratumoral Lactobacillus reuteri facilitates immune checkpoint inhibitor treatment. Cell 2023;186:1846–1862.e26.

[11]

Beuzón CR, Méresse S, Unsworth KE et al Salmonella maintains the integrity of its intracellular vacuole through the action of SifA. EMBO J 2000;19:3235–3249.

[12]

Bi A, Cui J, Ma Y-P et al Ectopic expression of a microbial-type rhodopsin restores visual responses in mice with photoreceptor degeneration. Neuron 2006;50:23–33.

[13]

Brockstedt DG, Giedlin MA, Leong ML et al Listeria-based cancer vaccines that segregate immunogenicity from toxicity. Proc Natl Acad Sci U S A 2004;101:13832–13837.

[14]

Canale FP, Basso C, Antonini G et al Metabolic modulation of tumours with engineered bacteria for immunotherapy. Nature 2021;598:662–666.

[15]

Carlsson F, Brown EJ. Actin‐based motility of intracellular bacteria, and polarized surface distribution of the bacterial effector molecules. J Cell Physiol 2006;209:288–296.

[16]

Cebolla A, Royo JL, de Lorenzo V et al Improvement of recombinant protein yield by a combination of transcriptional amplification and stabilization of gene expression. Appl Environ Microbiol 2002;68:5034–5041.

[17]

Chait R, Palmer AC, Yelin I et al Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. Nat Commun 2016;7:10333.

[18]

Chang Z, Guo X, Li X et al Bacterial immunotherapy leveraging IL-10R hysteresis for both phagocytosis evasion and tumor immunity revitalization. Cell 2025;188:1842–1857.e1820.

[19]

Chen J, Huang Z, Chen Y et al Lactate and lactylation in cancer. Signal Transduct Target Ther 2025;10:38.

[20]

Chen J, Wei D, Zhuang H et al Proteomic screening of anaerobically regulated promoters from Salmonella and its antitumor applications. Mol Cell Proteomics 2011;10:M111.009399.

[21]

Chen R, Lu Q, Zeng F et al A bioorthogonal probiotic platform spatiotemporally releases nanobodies in deep tumor for cancer chemoimmunotherapy. Mater Today 2024;80:262–275.

[22]

Chen Y, Du M, Yuan Z et al Spatiotemporal control of engineered bacteria to express interferon-γ by focused ultrasound for tumor immunotherapy. Nat Commun 2022;13:4468.

[23]

Chien T, Harimoto T, Kepecs B et al Enhancing the tropism of bacteria via genetically programmed biosensors. Nat Biomed Eng 2022;6:94–104.

[24]

Chowdhury S, Castro S, Coker C et al Programmable bacteria induce durable tumor regression and systemic antitumor immunity. Nat Med 2019;25:1057–1063.

[25]

Clairmont C, Lee KC, Pike J et al Biodistribution and genetic stability of the novel antitumor agent VNP20009, a genetically modified strain of Salmonella typhimurium. J Infect Dis 2000;181:1996–2002.

[26]

Crack J, Green J, Thomson AJ. Mechanism of oxygen sensing by the bacterial transcription factor fumarate-nitrate reduction (FNR). J Biol Chem 2004;279:9278–9286.

[27]

Crook N, Ferreiro A, Gasparrini AJ et al Adaptive strategies of the candidate probiotic E. coli Nissle in the mammalian gut. Cell Host Microbe 2019;25:499–512.e8.

[28]

Crosson S, Rajagopal S, Moffat K. The LOV domain family: photoresponsive signaling modules coupled to diverse output domains. Biochemistry 2003;42:2–10.

[29]

Cubillos-Ruiz A, Guo T, Sokolovska A et al Engineering living therapeutics with synthetic biology. Nat Rev Drug Discov 2021;20:941–960.

[30]

Dang LH, Bettegowda C, Huso DL et al Combination bacteriolytic therapy for the treatment of experimental tumors. Proc Natl Acad Sci U S A 2001;98:15155–15160.

[31]

Danino T, Prindle A, Kwong GA et al Programmable probiotics for detection of cancer in urine. Sci Transl Med 2015;7:289ra84.

[32]

de la Cruz-López KG, Castro-Muñoz LJ, Reyes-Hernández DO et al Lactate in the regulation of tumor microenvironment and therapeutic approaches. Front Oncol 2019;9:1143.

[33]

Demicco M, Liu X-Z, Leithner K et al Metabolic heterogeneity in cancer. Nat Metab 2024;6:18–38.

[34]

Detmer A, Glenting J. Live bacterial vaccines—a review and identification of potential hazards. Microb Cell Fact 2006;5:23.

[35]

Din MO, Danino T, Prindle A et al Synchronized cycles of bacterial lysis for in vivo delivery. Nature 2016;536:81–85.

[36]

Du M, Zeng F, Wang T et al Thermal-responsive ultrasound activatable in situ production of therapeutics for real-time imaging and targeted tumor therapy. Theranostics 2025;15:4212–4228.

[37]

Durand S, Storz G. Reprogramming of anaerobic metabolism by the FnrS small RNA. Mol Microbiol 2010;75:1215–1231.

[38]

El Tekle G, Garrett WS. Bacteria in cancer initiation, promotion and progression. Nat Rev Cancer 2023;23:600–618.

[39]

Emens LA, Ascierto PA, Darcy PK et al Cancer immunotherapy: opportunities and challenges in the rapidly evolving clinical landscape. Eur J Cancer 2017;81:116–129.

[40]

Englesberg E, Squires C, Meronk F. The L-arabinose operon in Escherichia coli B-r: a genetic demonstration of two functional states of the product of a regulator gene. Proc Natl Acad Sci U S A 1969;62:1100–1107.

[41]

English MA, Gayet RV, Collins JJ. Designing biological circuits: synthetic biology within the operon model and beyond. Annu Rev Biochem 2021;90:221–244.

[42]

Estrella V, Chen T, Lloyd M et al Acidity generated by the tumor microenvironment drives local invasion. Cancer Res 2013;73:1524–1535.

[43]

Fan Y, Ye J, Kang Y et al Biomimetic piezoelectric nanomaterial-modified oral microrobots for targeted catalytic and immunotherapy of colorectal cancer. Sci Adv 2024;10:eadm9561.

[44]

Flentie K, Kocher B, Gammon ST et al A bioluminescent transposon reporter-trap identifies tumor-specific microenvironment-induced promoters in Salmonella for conditional bacterial-based tumor therapy. Cancer Discov 2012;2:624–637.

[45]

Forbes NS. Engineering the perfect (bacterial) cancer therapy. Nat Rev Cancer 2010;10:785–794.

[46]

Forbes NS, Coffin RS, Deng L et al White paper on microbial anti-cancer therapy and prevention. J ImmunoTher Cancer 2018;6:78.

[47]

Freitag NE, Rong L, Portnoy DA. Regulation of the prfA transcriptional activator of Listeria monocytogenes: multiple promoter elements contribute to intracellular growth and cell-to-cell spread. Infect Immun 1993;61:2537–2544.

[48]

Fu S, Zhang R, Gao Y et al Programming the lifestyles of engineered bacteria for cancer therapy. Natl Sci Rev 2023;10:nwad031.

[49]

Fuster V, Sweeny JM. Aspirin: a historical and contemporary therapeutic overview. Circulation 2011;123:768–778.

[50]

Ganai S, Arenas RB, Forbes NS. Tumour-targeted delivery of TRAIL using Salmonella typhimurium enhances breast cancer survival in mice. Br J Cancer 2009;101:1683–1691.

[51]

Gao S, Jung J-H, Lin S-M et al Development of oxytolerant Salmonella typhimurium using radiation mutation technology (RMT) for cancer therapy. Sci Rep 2020;10:3764.

[52]

Gao T, Niu L, Wu X et al Sonogenetics-controlled synthetic designer cells for cancer therapy in tumor mouse models. Cell Rep Med 2024;5:101513.

[53]

Georgi T, Engels V, Wendisch VF. Regulation of L-lactate utilization by the FadR-type regulator LldR of Corynebacterium glutamicum. J Bacteriol 2008;190:963–971.

[54]

Gerweck LE, Seetharaman K. Cellular pH gradient in tumor versus normal tissue: potential exploitation for the treatment of cancer. Cancer Res 1996;56:1194–1198.

[55]

Gilman J, Love J. Synthetic promoter design for new microbial chassis. Biochem Soc Trans 2016;44:731–737.

[56]

Gnach A, Lipinski T, Bednarkiewicz A et al Upconverting nanoparticles: assessing the toxicity. Chem Soc Rev 2015;44:1561–1584.

[57]

Group Young Researchers in Inflammatory Carcinogenesis; Wandmacher AM, Mehdorn A-S et al The heterogeneity of the tumor microenvironment as essential determinant of development, progression and therapy response of pancreatic cancer. Cancers 2021;13:4932.

[58]

Gurbatri CR, Arpaia N, Danino T. Engineering bacteria as interactive cancer therapies. Science 2022;378:858–864.

[59]

Gurbatri CR, Lia I, Vincent R et al Engineered probiotics for local tumor delivery of checkpoint blockade nanobodies. Sci Transl Med 2020;12:eaax0876.

[60]

Gurbatri CR, Radford GA, Vrbanac L et al Engineering tumor-colonizing E. coli Nissle 1917 for detection and treatment of colorectal neoplasia. Nat Commun 2024;15:646.

[61]

Guzman LM, Belin D, Carson MJ et al Tight regulation, modulation, and high-level expression by vectors containing the arabinose PBAD promoter. J Bacteriol 1995;177:4121–4130.

[62]

Harimoto T, Hahn J, Chen Y-Y et al A programmable encapsulation system improves delivery of therapeutic bacteria in mice. Nat Biotechnol 2022;40:1259–1269.

[63]

Huang G, Qiu Y, Yang F et al Magnetothermally triggered free-radical generation for deep-seated tumor treatment. Nano Lett 2021a;21:2926–2931.

[64]

Huang X, Pan J, Xu F et al Bacteria-based cancer immunotherapy. Adv Sci 2021b;8:2003572.

[65]

Hyun J, Jun S, Lim H et al Engineered attenuated Salmonella typhimurium expressing neoantigen has anticancer effects. ACS Synth Biol 2021;10:2478–2487.

[66]

Ikonomidis G, Paterson Y, Kos FJ et al Delivery of a viral antigen to the class I processing and presentation pathway by Listeria monocytogenes. J Exp Med 1994;180:2209–2218.

[67]

Ittig SJ, Schmutz C, Kasper CA et al A bacterial type III secretion-based protein delivery tool for broad applications in cell biology. J Cell Biol 2015;211:913–931.

[68]

Jacob F, Monod J. Genetic regulatory mechanisms in the synthesis of proteins. J Mol Biol 1961;3:318–356.

[69]

Jafarbeglou F, Dunlop MJ. Red light responsive Cre recombinase for bacterial optogenetics. ACS Synth Biol 2024;13:3991–4001.

[70]

Jenal U, Reinders A, Lori C. Cyclic di-GMP: second messenger extraordinaire. Nat Rev Microbiol 2017;15:271–284.

[71]

Jia D, Wang Q, Qi Y et al Microbial metabolite enhances immunotherapy efficacy by modulating T cell stemness in pan-cancer. Cell 2024;187:1651–1665.e1621.

[72]

Jiang S-N, Park S-H, Lee HJ et al Engineering of bacteria for the visualization of targeted delivery of a cytolytic anticancer agent. Mol Ther 2013;21:1985–1995.

[73]

Kaberniuk AA, Baloban M, Monakhov MV et al Single-component near-infrared optogenetic systems for gene transcription regulation. Nat Commun 2021;12:3859.

[74]

Kang S-R, Min J-J. Recent progress in the molecular imaging of tumor-treating bacteria. Nucl Med Mol Imaging 2021;55:7–14.

[75]

Kessenbrock K, Plaks V, Werb Z. Matrix metalloproteinases: regulators of the tumor microenvironment. Cell 2010;141:52–67.

[76]

Khanduja S, Bloom SMK, Raman V et al Intracellular delivery of oncolytic viruses with engineered Salmonella causes viral replication and cell death. iScience 2024;27:109813.

[77]

Kong W, Blanchard AE, Liao C et al Engineering robust and tunable spatial structures with synthetic gene circuits. Nucleic Acids Res 2017;45:1005–1014.

[78]

Kubori T, Matsushima Y, Nakamura D et al Supramolecular structure of the Salmonella typhimurium type III protein secretion system. Science 1998;280:602–605.

[79]

Lamm DL, Thor DE, Harris SC et al Bacillus Calmette-Guerin immunotherapy of superficial bladder cancer. J Urol 1980;124:38–40.

[80]

Lamon S, Yu H, Zhang Q et al Lanthanide ion-doped upconversion nanoparticles for low-energy super-resolution applications. Light Sci Appl 2024;13:252.

[81]

Le GNT, Jang J, Uppalapati M et al Optimized phage display-based selection for the development of heterodimerizing optogenetic tools. ACS Synth Biol 2025;14:2400–2404.

[82]

Lee J, McClure S, Weichselbaum RR et al Designing live bacterial therapeutics for cancer. Adv Drug Delivery Rev 2025;221:115579.

[83]

Leventhal DS, Sokolovska A, Li N et al Immunotherapy with engineered bacteria by targeting the STING pathway for anti-tumor immunity. Nat Commun 2020;11:2739.

[84]

Lewis D, Le P, Zurla C et al Multilevel autoregulation of λ repressor protein CI by DNA looping in vitro. Proc Natl Acad Sci U S A 2011;108:14807–14812.

[85]

Li B, Chi X, Huang Y et al Bifidobacterium longum-derived extracellular vesicles prevent hepatocellular carcinoma by modulating the TGF-β1/Smad signaling in mice. Front Biosci 2024a;29:241.

[86]

Li F, Yang Z, Savage TM et al Programmable bacteria synergize with PD-1 blockade to overcome cancer cell-intrinsic immune resistance mechanisms. Sci Immunol 2024b;9:eadn9879.

[87]

Li Y, Ma X, Yue Y et al Rapid surface display of mRNA antigens by bacteria-derived outer membrane vesicles for a personalized tumor vaccine. Adv Mater 2022;34:e2109984.

[88]

Liang C, Xiong D, Zhang Y et al Development of a novel uric-acid-responsive regulatory system in Escherichia coli. Appl Microbiol Biotechnol 2015;99:2267–2275.

[89]

Liang X, Gao J, Jiang L et al Nanohybrid liposomal cerasomes with good physiological stability and rapid temperature responsiveness for high intensity focused ultrasound triggered local chemotherapy of cancer. ACS Nano 2015;9:1280–1293.

[90]

Lutz R, Bujard H. Independent and tight regulation of transcriptional units in Escherichia coli via the LacR/O, the TetR/O and AraC/I1-I2 regulatory elements. Nucleic Acids Res 1997;25:1203–1210.

[91]

Lynch JP, Goers L, Lesser CF. Emerging strategies for engineering Escherichia coli Nissle 1917-based therapeutics. Trends Pharmacol Sci 2022;43:772–786.

[92]

Ma X, Liang X, Li Y et al Modular-designed engineered bacteria for precision tumor immunotherapy via spatiotemporal manipulation by magnetic field. Nat Commun 2023;14:1606.

[93]

Małachowska A, Olszewski P. TECS: a toxin expression control strategy as a tool for optimization of inducible promoters. Microb Cell Fact 2018;17:40.

[94]

Marbach A, Bettenbrock K. Lac operon induction in Escherichia coli: systematic comparison of IPTG and TMG induction and influence of the transacetylase LacA. J Biotechnol 2012;157:82–88.

[95]

Maresca D, Lakshmanan A, Abedi M et al Biomolecular ultrasound and sonogenetics. Annu Rev Chem Biomol Eng 2018;9:229–252.

[96]

Mazoch J, Kucera I. Control of gene expression by FNR-like proteins in facultatively anaerobic bacteria. Folia Microbiol 2002;47:95–103.

[97]

McNerney MP, Doiron KE, Ng TL et al Theranostic cells: emerging clinical applications of synthetic biology. Nat Rev Genet 2021;22:730–746.

[98]

Medina E, Guzmán CA, Staendner LH et al Salmonella vaccine carrier strains: effective delivery system to trigger anti-tumor immunity by oral route. Eur J Immunol 1999;29:693–699.

[99]

Mengesha A, Dubois L, Lambin P et al Development of a flexible and potent hypoxia-inducible promoter for tumor-targeted gene expression in attenuated Salmonella. Cancer Biol Ther 2006;5:1120–1128.

[100]

Méresse S, Steele-Mortimer O, Moreno E et al Controlling the maturation of pathogen-containing vacuoles: a matter of life and death. Nat Cell Biol 1999;1:E183–E188.

[101]

Mi Z, Chen J, Zhang Z et al Synthetic biology-driven induction of mature TLS formation enhances antitumor immunity in colorectal cancer. Sci Transl Med 2025;17:eado8395.

[102]

Miller SI, Kukral AM, Mekalanos JJ. A two-component regulatory system (phoP phoQ) controls Salmonella typhimurium virulence. Proc Natl Acad Sci U S A 1989;86:5054–5058.

[103]

Min H-Y, Lee H-Y. Molecular targeted therapy for anticancer treatment. Exp Mol Med 2022;54:1670–1694.

[104]

Min J-J, Kim H-J, Park JH et al Noninvasive real-time imaging of tumors and metastases using tumor-targeting light-emitting Escherichia coli. Mol Imaging Biol 2008;10:54–61.

[105]

Mössner R. Severe side effects of targeted therapies. J Dtsch Dermatol Ges 2022;20:747–748.

[106]

Multamäki E, García de Fuentes A, Sieryi O et al Optogenetic control of bacterial expression by red light. ACS Synth Biol 2022;11:3354–3367.

[107]

Murray CJL; GBD 2021 Collaborators. Findings from the global burden of disease study 2021. Lancet 2024;403:2259–2262.

[108]

Na HS, Kim HJ, Lee H-C et al Immune response induced by Salmonella typhimurium defective in ppGpp synthesis. Vaccine 2006;24:2027–2034.

[109]

Nauts HC, Swift WE, Coley BL. The treatment of malignant tumors by bacterial toxins as developed by the late William B. Coley, M.D., reviewed in the light of modern research. Cancer Res 1946;6:205–216.

[110]

Nguyen BN, Portnoy DA. An inducible Cre-lox system to analyze the role of LLO in Listeria monocytogenes pathogenesis. Toxins 2020;12:

[111]

Nguyen D-H, You S-H, Ngo HT-T et al Reprogramming the tumor immune microenvironment using engineered dual-drug loaded Salmonella. Nat Commun 2024;15:6680.

[112]

Nguyen D-H, You S-H, Vo A-TN et al Optimized doxycycline-inducible gene expression system for genetic programming of tumor-targeting bacteria. Mol Imaging Biol 2022;24:82–92.

[113]

Noda S, Akanuma G, Keyamura K et al RecN spatially and temporally controls RecA-mediated repair of DNA double-strand breaks. J Biol Chem 2023;299:105466.

[114]

Nuyts S, Van Mellaert L, Theys J et al Radio-responsive recA promoter significantly increases TNFα production in recombinant clostridia after 2 Gy irradiation. Gene Ther 2001a;8:1197–1201.

[115]

Nuyts S, Van Mellaert L, Theys J et al The use of Radiation-Induced bacterial promoters in anaerobic conditions: a means to control gene expression in Clostridium-mediated therapy for cancer. Radiat Res 2001b;155:716–723.

[116]

Ohlendorf R, Vidavski RR, Eldar A et al From dusk till dawn: one-plasmid systems for light-regulated gene expression. J Mol Biol 2012;416:534–542.

[117]

Ozdemir T, Fedorec AJH, Danino T et al Synthetic biology and engineered live biotherapeutics: toward increasing system complexity. Cell Syst 2018;7:5–16.

[118]

Pedrolli DB, Ribeiro NV, Squizato PN et al; Team AQA Unesp at iGEM 2017. Engineering microbial living therapeutics: the synthetic biology toolbox. Trends Biotechnol 2019;37:100–115.

[119]

Phelps CM, Willis NB, Duan T et al Exercise-induced microbiota metabolite enhances CD8 T cell antitumor immunity promoting immunotherapy efficacy. Cell 2025;188:5680–5700.e28.

[120]

Qiao L, Niu L, Wang Z et al Engineered bacteria for near-infrared light-inducible expression of cancer therapeutics. Nat Cancer 2025;6:612–628.

[121]

Qin W, Xu W, Wang L et al Bacteria-elicited specific thrombosis utilizing acid-induced cytolysin A expression to enable potent tumor therapy. Adv Sci 2022;9:e2105086.

[122]

Qin Y, You S-H, Zhang Y et al Genetic programming by nitric oxide-sensing gene switch system in tumor-targeting bacteria. Biosensors 2023;13:266.

[123]

Quispe-Tintaya W, Chandra D, Jahangir A et al Nontoxic radioactive Listeria(at) is a highly effective therapy against metastatic pancreatic cancer. Proc Natl Acad Sci U S A 2013;110:8668–8673.

[124]

Raman V, Howell LM, Bloom SMK et al Intracellular Salmonella delivery of an exogenous immunization antigen refocuses CD8 T cells against cancer cells, eliminates pancreatic tumors and forms antitumor immunity. Front Immunol 2023;14:1228532.

[125]

Raman V, Van Dessel N, Hall CL et al Intracellular delivery of protein drugs with an autonomously lysing bacterial system reduces tumor growth and metastases. Nat Commun 2021;12:6116.

[126]

Ray K, Marteyn B, Sansonetti PJ et al Life on the inside: the intracellular lifestyle of cytosolic bacteria. Nat Rev Microbiol 2009;7:333–340.

[127]

Reeves AZ, Spears WE, Du J et al Engineering Escherichia coli into a protein delivery system for mammalian cells. ACS Synth Biol 2015;4:644–654.

[128]

Riglar DT, Silver PA. Engineering bacteria for diagnostic and therapeutic applications. Nat Rev Microbiol 2018;16:214–225.

[129]

Rouanne M, Chen N, Mariuzza DL et al Tumor-specific antibodies elicited by engineered bacteria promote bladder cancer immunotherapy. bioRxiv, doi.org/10.1101/2024.10.24.620122, 29 October 2024, preprint: not peer reviewed.

[130]

Royo JL, Becker PD, Camacho EM et al In vivo gene regulation in Salmonella spp. by a salicylate-dependent control circuit. Nat Methods 2007;4:937–942.

[131]

Ryan RM, Green J, Williams PJ et al Bacterial delivery of a novel cytolysin to hypoxic areas of solid tumors. Gene Ther 2009;16:329–339.

[132]

Samuel T, Rapic S, O'Brien C et al Quantitative intravital imaging for real-time monitoring of pancreatic tumor cell hypoxia and stroma in an orthotopic mouse model. Sci Adv 2023;9:eade8672.

[133]

Savage TM, Vincent RL, Rae SS et al Chemokines expressed by engineered bacteria recruit and orchestrate antitumor immunity. Sci Adv 2023;9:eadc9436.

[134]

Schmidl SR, Sheth RU, Wu A et al Refactoring and optimization of light-switchable Escherichia coli two-component systems. ACS Synth Biol 2014;3:820–831.

[135]

Schroeder N, Henry T, de Chastellier C et al The virulence protein SopD2 regulates membrane dynamics of Salmonella-containing vacuoles. PLoS Pathog 2010;6:e1001002.

[136]

Shirai H, Tsukada K. Bacterial proteolytic activity improves drug delivery in tumors in a size, pharmacokinetic, and binding affinity dependent manner—a mechanistic understanding. J Control Release 2020;321:348–362.

[137]

Sieow BF-L, Wun KS, Yong WP et al Tweak to treat: reprograming bacteria for cancer treatment. Trends Cancer 2021;7:447–464.

[138]

Singer ZS, Pabón J, Huang H et al Engineered bacteria launch and control an oncolytic virus. Nat Biomed Eng 2025.

[139]

Sitti M, Wiersma DS. Pros and cons: magnetic versus optical microrobots. Adv Mater 2020;32:e1906766.

[140]

Steele-Mortimer O. The Salmonella-containing vacuole—moving with the times. Curr Opin Microbiol 2008;11:38–45.

[141]

Stevens AM, Greenberg EP. Quorum sensing in Vibrio fischeri: essential elements for activation of the luminescence genes. J Bacteriol 1997;179:557–562.

[142]

Strauch KL, Lenk JB, Gamble BL et al Oxygen regulation in Salmonella typhimurium. J Bacteriol 1985;161:673–680.

[143]

Su L-Y, Tian Y, Zheng Q et al Anti-tumor immunotherapy using engineered bacterial outer membrane vesicles fused to lysosome-targeting chimeras mediated by transferrin receptor. Cell Chem Biol 2024;31:1219–1230.e1215.

[144]

Sun D, Li Y, Yin X et al Utilizing engineered bacteria as “cell factories” in vivo for intracellular RNA-loaded outer membrane vesicles’ self-assembly in tumor treatment. ACS Nano 2024;18:35296–35309.

[145]

Sun M, Yang S, Huang H et al Boarding oncolytic viruses onto tumor-homing bacterium-vessels for augmented cancer immunotherapy. Nano Lett 2022;22:5055–5064.

[146]

Sun Y, Xu M, Wang B et al A robust and orthogonal far-red light sensor for gene expression control in Escherichia coli. ACS Synth Biol 2025;14:1687–1700.

[147]

Swofford CA, Van Dessel N, Forbes NS. Quorum-sensing Salmonella selectively trigger protein expression within tumors. Proc Natl Acad Sci U S A 2015;112:3457–3462.

[148]

Tan W, Duong MT-Q, Zuo C et al Targeting of pancreatic cancer cells and stromal cells using engineered oncolytic Salmonella typhimurium. Mol Ther 2022;30:662–671.

[149]

Tang L, Huang Z, Mei H et al Immunotherapy in hematologic malignancies: achievements, challenges and future prospects. Signal Transduct Target Ther 2023;8:306.

[150]

Tao C, Miao X, Yan J et al Hypoxia-targeted and spatial-selective tumor suppression by near infrared nanoantenna sensitized engineered bacteria. Acta Biomater 2023;170:442–452.

[151]

Teixeira AP, Fussenegger M. Synthetic macromolecular switches for precision control of therapeutic cell functions. Nat Rev Bioeng 2024;2:1005–1022.

[152]

Tetsch L, Koller C, Dönhöfer A et al Detection and function of an intramolecular disulfide bond in the pH-responsive CadC of Escherichia coli. BMC Microbiol 2011;11:74.

[153]

Vincent RL, Gurbatri CR, Li F et al Probiotic-guided CAR-T cells for solid tumor targeting. Science 2023;382:211–218.

[154]

Wallecha A, Maciag PC, Rivera S et al Construction and characterization of an attenuated Listeria monocytogenes strain for clinical use in cancer immunotherapy. Clin Vaccine Immunol 2009;16:96–103.

[155]

Wang H, Xu F, Wang C. Metabolic reprogramming of tumor microenvironment by engineered bacteria. Semin Cancer Biol 2025a;112:58–70.

[156]

Wang H, Xu F, Yao C et al Engineering bacteria for cancer immunotherapy by inhibiting IDO activity and reprogramming CD8+ T cell response. Proc Natl Acad Sci USA 2024;121.

[157]

Wang H, Zheng L, Yang C et al Probiotic-mediated tumor microenvironment reprogramming with protease-sensitive interleukin-15 and photothermal therapy. Cell Rep Med 2025b;6:102191.

[158]

Wang P, Chen C, Wang Q et al Tumor inhibition via magneto-mechanical oscillation by magnetotactic bacteria under a swing MF. J Control Release 2022;351:941–953.

[159]

Wang Y, Dong A, Man J et al TREM2 scFv‐engineering Escherichia coli displaying modulation of macrophages to boost cancer radio‐immunotherapy. Adv Mater 2025c;37:e2417920.

[160]

Waters CM, Bassler BL. Quorum sensing: cell-to-cell communication in bacteria. Annu Rev Cell Dev Biol 2005;21:319–346.

[161]

Watson MJ, Delgoffe GM. Fighting in a wasteland: deleterious metabolites and antitumor immunity. J Clin Invest 2022;132:

[162]

Wei C, Xun AY, Wei XX et al Bifidobacteria expressing tumstatin protein for antitumor therapy in tumor-bearing mice. Technol Cancer Res Treat 2016;15:498–508.

[163]

Wei Y, Zhang Z, Xue T et al In situ synthesis of an immune-checkpoint blocker from engineered bacteria elicits a potent antitumor response. ACS Synth Biol 2024;13:1679–1693.

[164]

Williams KJ, Joyce G, Robertson BD. Improved mycobacterial tetracycline inducible vectors. Plasmid 2010;64:69–73.

[165]

Wilson DN, Hauryliuk V, Atkinson GC et al Target protection as a key antibiotic resistance mechanism. Nat Rev Microbiol 2020;18:637–648.

[166]

Wittkopp PJ, Kalay G. Cis-regulatory elements: molecular mechanisms and evolutionary processes underlying divergence. Nat Rev Genet 2011;13:59–69.

[167]

Wu L, Li L, Yin X et al A SARS-CoV-2 oral vaccine development strategy based on the attenuated Salmonella type III secretion system. J Appl Microbiol 2022;133:2484–2500.

[168]

Xie X-T, Guan M, Cheng K et al Programmable engineered bacteria as sustained-releasing antibody factory in situ for enhancing tumor immune checkpoint therapy. Sci Adv 2025;11:eadt7298.

[169]

Xin Y, Li K, Huang M et al Biophysics in tumor growth and progression: from single mechano-sensitive molecules to mechanomedicine. Oncogene 2023;42:3457–3490.

[170]

Xu W, Yu J, Yang Y et al Strain-level screening of human gut microbes identifies Blautia producta as a new anti-hyperlipidemic probiotic. Gut Microbes 2023;15:2228045.

[171]

Yang S, Guo C-H, Tong W-Y et al Identification and characterization of anaerobically activated promoters in Escherichia coli. J Biotechnol 2025a;402:30–38.

[172]

Yang S, Sheffer M, Kaplan IE et al Non-pathogenic E. coli displaying decoy-resistant IL18 mutein boosts anti-tumor and CAR NK cell responses. Nat Biotechnol 2025b;43:1311–1323.

[173]

Yang Y, Wang Y, Zeng F et al Ultrasound-visible engineered bacteria for tumor chemo-immunotherapy. Cell Rep Med 2024;5:101512.

[174]

Ye F, Dewanjee S, Li Y et al Advancements in clinical aspects of targeted therapy and immunotherapy in breast cancer. Mol Cancer 2023;22:105.

[175]

Ye H, Fussenegger M. Optogenetic medicine: synthetic therapeutic solutions precision-guided by light. Cold Spring Harb Perspect Med 2019;9:a034371.

[176]

Yi X, Zhou H, Chao Y et al Bacteria-triggered tumor-specific thrombosis to enable potent photothermal immunotherapy of cancer. Sci Adv 2020;6:eaba3546.

[177]

Yu B, Yang M, Shi L et al Explicit hypoxia targeting with tumor suppression by creating an “obligate” anaerobic Salmonella typhimurium strain. Sci Rep 2012;2:436.

[178]

Yue Y, Xu J, Li Y et al Antigen-bearing outer membrane vesicles as tumour vaccines produced in situ by ingested genetically engineered bacteria. Nat Biomed Eng 2022;6:898–909.

[179]

Zhang M, Forbes NS. Trg-deficient Salmonella colonize quiescent tumor regions by exclusively penetrating or proliferating. J Control Release 2015;199:180–189.

[180]

Zhang P, Wang H, Xu H et al Deep flanking sequence engineering for efficient promoter design using DeepSEED. Nat Commun 2023;14:6309.

[181]

Zhao M, Yang M, Li X-M et al Tumor-targeting bacterial therapy with amino acid auxotrophs of GFP-expressing Salmonella typhimurium. Proc Natl Acad Sci U S A 2005;102:755–760.

[182]

Zheng JH, Nguyen VH, Jiang S-N et al Two-step enhanced cancer immunotherapy with engineered Salmonella typhimurium secreting heterologous flagellin. Sci Transl Med 2017;9.

[183]

Zhou M, Tang Y, Xu W et al Bacteria-based immunotherapy for cancer: a systematic review of preclinical studies. Front Immunol 2023;14:1140463.

[184]

Zhou S, Gravekamp C, Bermudes D et al Tumour-targeting bacteria engineered to fight cancer. Nat Rev Cancer 2018;18:727–743.

[185]

Zhou T, Wu J, Tang H et al Enhancing tumor-specific recognition of programmable synthetic bacterial consortium for precision therapy of colorectal cancer. NPJ Biofilms Microbiomes 2024a;10:6.

[186]

Zhou Y, Li Q, Wu Y et al Synergistic brilliance: engineered bacteria and nanomedicine unite in cancer therapy. Adv Mater 2024b;36:e2313953.

[187]

Zhou Y, Wei Y, Li L et al Optogenetics in medicine: innovations and therapeutic applications. Curr Opin Biotechnol 2025;92:103262.

[188]

Zhu X, Chen S, Hu X et al Near-infrared nano-optogenetic activation of cancer immunotherapy via engineered bacteria. Adv Mater 2023;35:e2207198.

[189]

Zoltowski BD, Motta-Mena LB, Gardner KH. Blue light-induced dimerization of a bacterial LOV–HTH DNA-binding protein. Biochemistry 2013;52:6653–6661.

[190]

Zou Z-P, Wang X-G, Shi X-R et al Self-adjusting engineered probiotic for targeted tumor colonization and local therapeutics delivery. Adv Sci 2025;12:e06486.

[191]

Zúñiga A, Camacho M, Chang H-J et al Engineered l-lactate responding promoter system operating in glucose-rich and anoxic environments. ACS Synth Biol 2021;10:3527–3536.

RIGHTS & PERMISSIONS

The Author(s) 2025. Published by Oxford University Press on behalf of Higher Education Press.

PDF (4040KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/