Lung cancer is the leading cause of cancer-related deaths worldwide. The main risk factor for lung cancer is exposure to chemicals present in cigarettes and atmospheric pollutants, which, among other mechanisms, can increase the risk of cancer by inducing pulmonary inflammation. Among the complex features of inflammatory processes, the role of inflammasomes has attracted increasing attention due to their role in different stages of carcinogenesis. Inflammasomes are intracellular multiprotein complexes that when activated promote the maturation of interleukin-1beta (IL-1β) and IL-18, pro-inflammatory cytokines involved in the promotion, progression, epithelial-mesenchymal transition, metastasis, and resistance to therapy of lung cancer. In this way, this review summarizes the recent findings of inflammasome research in different stages of lung cancer, with a focus on non-small cell lung carcinoma (NSCLC), and highlights these multiprotein complexes as promising targets for cancer therapy.

In the last years, multiple efforts have been made to accurately predict neoantigens derived from somatic mutations in cancer patients, either to develop personalized therapeutic vaccines or to study immune responses after cancer immunotherapy. In this context, the increasing accessibility of paired whole-exome sequencing (WES) of tumor biopsies and matched normal tissue as well as RNA sequencing (RNA-Seq) has provided a basis for the development of bioinformatics tools that predict and prioritize neoantigen candidates. Most pipelines rely on the binding prediction of candidate peptides to the patient’s major histocompatibility complex (MHC), but these methods return a high number of false positives since they lack information related to other features that influence T cell responses to neoantigens. This review explores available computational methods that incorporate information on T cell preferences to predict their activation after encountering a peptide-MHC complex. Specifically, methods that predict i) biological features that may increase the availability of a neopeptide to be exposed to the immune system, ii) metrics of self-similarity representing the chances of a neoantigen to break immune tolerance, iii) pathogen immunogenicity, and iv) tumor immunogenicity. Also, this review describes the characteristics of these tools and addresses their performance in the context of a novel benchmark dataset of experimentally validated neoantigens from patients treated with a melanoma vaccine (VACCIMEL) in a phase II clinical study. The overall results of the evaluation indicate that current tools have a limited ability to predict the activation of a cytotoxic response against neoantigens. Based on this result, the limitations that make this problem an unsolved challenge in immunoinformatics are discussed.

Mesenchymal stem/stromal cells (MSCs) are known as multipotent cells due to their ability to differentiate into various cell lineages of mesoderm origin. Recent developments in stem cell biology have provided a new ray of hope for the treatment of diseases and disorders that are yet to be treated. These cells have been widely used in animals and clinical trials in humans. To date, there are more than 920 clinical trials on humans related to MSCs as cell-based therapy in various conditions. The purpose of this review is to provide a summary of the characteristics of MSCs, evaluate their immunological properties, activation of MSCs that dictate their soluble factors, possible pathway, and mechanisms involved by MSCs and immune cell interaction, and various application of MSCs in different diseases.

Surgery, chemotherapy, radiation therapy, and immunotherapy are potential therapeutic choices for many malignant and metastatic cancers. Despite adverse side effects and pain, surgery and chemotherapy continue to be the most common cancer treatments. However, patients treated with immunotherapy had better cancer control than those who got other treatments. There are two methods to activate immunological pathways: systemically and locally. To modify the tumor microenvironment (TME), the former uses systemic cytokine/chemokine (CK) delivery, whilst the latter uses immunological checkpoints or small molecule inhibitors. Organic and inorganic nanomaterials (NMs) enhanced the efficacy of cancer immunotherapy. NMs can transmit drugs, peptides, antigens, antibodies, whole cell membranes, etc. Surface-modified NMs precisely target and enter the tissues. The inner core of surface-modified NMs is composed of chemicals with limited bioavailability and biocompatibility, resulting in prolonged blood retention and decreased renal clearance. These platforms hinder or prevent many immune cell activities and modify the TME, enhancing the efficiency of cancer immunotherapy. By inhibiting CK/CK receptor signaling, cell migration and other immune responses could be controlled. Developing CK-targeted nanoparticles (NPs) that inhibit CK signaling or take advantage of the ligand-receptor connection is possible. Surface chemical modification of NMs with CKs or specific peptides has several medicinal applications, including tissue-specific drug delivery and limited cell migration in cancer-afflicted conditions. This review covers current developments in the role of different groups of CK-loaded NP in tumor therapy targeting immune cells and cancer. It also covers the role of NP targeting CK signaling which aids in immunogenic cell death (ICD) and induction of antitumor immunity. In addition, CK gene silencing and its capacity to prevent cancer metastasis as well as inhibition of immune cell migration to modulate the TME are discussed.

Linker for activation of T cells (LAT) is a central adaptor protein in proximal T cell activation. A key element of its adaptor function is the efficiency with which LAT interacts with its binding partners. Such efficiency is controlled by the local concentration of LAT as well as the vicinity to up- and downstream interaction partners, i.e. LAT localization. Several factors control LAT localization. LAT is a palmitoylated transmembrane protein and traffics between vesicular compartments and the plasma membrane. Membrane heterogeneity and protein-protein interactions can drive LAT clustering, at scales from a few to hundreds if not more molecules. LAT vesicular trafficking through the small, crowded cytoplasm of a T cell and the commonly nm scale clusters are difficult to access experimentally, in particular in the physiological interaction of T cells binding to antigen presenting cells (APCs) with a highly undulating interface. Only in recent years have technological advances begun to provide better access. Based on such advances, three elements of LAT localization are discussed in conjunction: vesicular trafficking as it regulates LAT transport towards, insertion into, and removal from the plasma membrane; LAT clustering as it increases local LAT concentrations; LAT-anchored supramolecular signaling complexes as they embed LAT in a dense network of interaction partners. Consistent with the important role of LAT localization for its function, each of these processes regulates LAT activity and the efficiency of T cell activation.

The growth and differentiation of normal cells are controlled by protein-tyrosine kinases, which serve as receptors for a wide variety of external signals. Small protein modules called Src homology 2 (SH2) and SH3 domains mediate protein-protein interactions in signaling pathways that are triggered by protein tyrosine kinases. The SH2 domain, a protein module of around 100 amino acids, is present in tyrosine kinase targets within the cell. SH2 domains are recruited to activated and autophosphorylated growth factor receptors by directly recognizing tyrosine phosphorylation sites. Growth factor receptors and other phosphoproteins have short phosphotyrosine (pTyr)-containing sequences that are bound by SH2 domains. The SH3 domain, a distinct element of approximately 50 residues that recognizes proline-rich and hydrophobic-amino-acid-containing regions, is frequently found in SH2-containing proteins. Tyrosine kinases can be coupled to downstream targets with SH3-binding sites by proteins with SH2 and SH3 domains acting as adaptors. These intricate and precise biochemical signaling pathways result in the regulation of gene expression, cytoskeletal architecture, and cell metabolism. The role of SH2/SH3 proteins in T cell signaling will be discussed. A special focus will be on the role of the hematopoietic signal transducer with SH2/SH3 domains, Vav1, in health and cancer.