Breast cancer organoids: a precision platform for modeling heterogeneity and advancing personalized therapy

Yuxia Yang , Jingze Yang , Yiran Liang , Qifeng Yang

Molecular and Digital Medicine ›› 2026, Vol. 1 ›› Issue (1) : 100004

PDF (3258KB)
Molecular and Digital Medicine ›› 2026, Vol. 1 ›› Issue (1) :100004 DOI: 10.1016/j.mdmed.2026.100004
Review Articles
research-article
Breast cancer organoids: a precision platform for modeling heterogeneity and advancing personalized therapy
Author information +
History +
PDF (3258KB)

Abstract

Breast cancer remains the most prevalent malignancy among women worldwide, characterized by profound heterogeneity and therapeutic resistance that pose significant challenges to both research and clinical management. Breast cancer organoids (BCOs), as three-dimensional in vitro models derived from patient tissues, closely recapitulate the key structural, molecular, and heterogeneous characteristics of primary tumors, surpassing conventional models in fidelity and clinical relevance. This review systematically synthesizes the key advancements in BCO technology, encompassing standardized sample processing, optimized culture systems, and the integration of dynamic microfluidic platforms that better mimic the tumor microenvironment. Due to the high degree of genomic and phenotypic concordance between BCOs and their parental tumors, BCOs have proven indispensable in subtype-specific research, such as illuminating mechanisms of endocrine resistance in luminal tumors, uncovering metastatic pathways in HER2+ cancers, and identifying novel therapeutic vulnerabilities in triple-negative breast cancer. Furthermore, organoid-based metabolic and signaling pathway analyses have revealed new regulators of tumor progression. In the realm of clinical translation, BCOs are increasingly used for high-throughput drug screening and personalized drug sensitivity testing, guiding therapeutic decisions. The establishment of organoid biobanks and the implementation of standardized protocols are facilitating large-scale studies and multicenter collaborations. Despite ongoing challenges in microenvironment simulation and protocol standardization, the convergence of BCOs with emerging technologies, such as single-cell multi-omics, CRISPR screening, and engineered microenvironments, holds immense potential. With their unparalleled capacity to model tumor evolution and therapeutic responses, BCOs represent a paradigm shift in precision oncology, ultimately bridging the gap between basic research and individualized patient care.

Keywords

Breast cancer / Organoid / Tumor microenvironment / Personalized medicine / Drug screening / Precision oncology

Cite this article

Download citation ▾
Yuxia Yang, Jingze Yang, Yiran Liang, Qifeng Yang. Breast cancer organoids: a precision platform for modeling heterogeneity and advancing personalized therapy. Molecular and Digital Medicine, 2026, 1 (1) : 100004 DOI:10.1016/j.mdmed.2026.100004

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024; 74(3): 229-263. https://doi.org/10.3322/caac.21834

[2]

Arruabarrena—Aristorena A, Maag JLV, Kittane S, et al. FOXA1 mutations reveal distinct chromatin profiles and influence therapeutic response in breast cancer. Cancer Cell. 2020; 38(4): 534-550. https://doi.org/10.1016/j.ccell.2020.08.003 [PMID: 32888433; PMCID: PMC8311901].

[3]

Ilina O, Gritsenko PG, Syga S, et al. Cell—cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasion. Nat Cell Biol. 2020; 22(9): 1103-1115. https://doi.org/10.1038/s41556—020—0552—6

[4]

Granat LM, Kambhampati O, Klosek S, Niedzwecki B, Parsa K, Zhang D. The promises and challenges of patient—derived tumor organoids in drug development and precision oncology. Anim Model Exp Med. 2019; 2(3): 150-161. https://doi.org/10.1002/ame2.12077

[5]

Di Renzo MF, Corso S. Patient—derived cancer models. Cancers. 2020; 12(12) https://doi.org/10.3390/cancers12123779

[6]

Murayama T, Gotoh N. Patient—derived xenograft models of breast cancer and their application. Cells. 2019; 8(6) https://doi.org/10.3390/cells8060621

[7]

Kretzschmar K, Clevers H. Organoids: modeling development and the stem cell niche in a dish. Dev Cell. 2016; 38(6): 590-600. https://doi.org/10.1016/j.devcel.2016.08.014

[8]

Nunes AS, Barros AS, Costa EC, Moreira AF, Correia IJ. 3D tumor spheroids as in vitro models to mimic in vivo human solid tumors resistance to therapeutic drugs. Biotechnol Bioeng. 2019; 116(1): 206-226. https://doi.org/10.1002/bit.26845

[9]

Fang Y, Eglen RM. Three—dimensional cell cultures in drug discovery and development. SLAS Discov. 2017; 22(5): 456-472. https://doi.org/10.1177/1087057117696795

[10]

van Renterghem AWJ, van de Haar J, Voest EE. Functional precision oncology using patient—derived assays: bridging genotype and phenotype. Nat Rev Clin Oncol. 2023; 20(5): 305-317. https://doi.org/10.1038/s41571—023—00745—2

[11]

Li M, Izpisua Belmonte JC. Organoids — preclinical models of human disease. N Engl J Med. 2019; 380(6): 569-579. https://doi.org/10.1056/NEJMra1806175

[12]

Sachs N, de Ligt J, Kopper O, et al. A living biobank of breast cancer organoids captures disease heterogeneity. Cell. 2018; 172(1—2): 373-386. https://doi.org/10.1016/j.cell.2017.11.010 [PMID: 29224780].

[13]

Sato T, Vries RG, Snippert HJ, et al. Single Lgr5 stem cells build crypt—villus structures in vitro without a mesenchymal niche. Nature. 2009; 459(7244): 262-265. https://doi.org/10.1038/nature07935

[14]

Vlachogiannis G, Hedayat S, Vatsiou A, et al. Patient—derived organoids model treatment response of metastatic gastrointestinal cancers. Science. 2018; 359(6378): 920-926. https://doi.org/10.1126/science.aao2774

[15]

Bonnans C, Chou J, Werb Z. Remodelling the extracellular matrix in development and disease. Nat Rev Mol Cell Biol. 2014; 15(12): 786-801. https://doi.org/10.1038/nrm3904

[16]

Kratochvil MJ, Seymour AJ, Li TL, Pasca SP, Kuo CJ, Heilshorn SC. Engineered materials for organoid systems. Nat Rev Mater. 2019; 4(9): 606-622. https://doi.org/10.1038/s41578—019—0129—9

[17]

Crowder SW, Leonardo V, Whittaker T, Papathanasiou P, Stevens MM. Material cues as potent regulators of epigenetics and stem cell function. Cell Stem Cell. 2016; 18(1): 39-52. https://doi.org/10.1016/j.stem.2015.12.012

[18]

Hushka EA, Yavitt FM, Brown TE, Dempsey PJ, Anseth KS. Relaxation of extracellular matrix forces directs crypt formation and architecture in intestinal organoids. Adv Healthc Mater. 2020; 9(8) https://doi.org/10.1002/adhm.201901214 [PMID: 31957249; PMCID: PMC7274865].

[19]

Enemchukwu NO, Cruz—Acuna R, Bongiorno T, et al. Synthetic matrices reveal contributions of ECM biophysical and biochemical properties to epithelial morphogenesis. J Cell Biol. 2016; 212(1): 113-124. https://doi.org/10.1083/jcb.201506055

[20]

Drain AP, Zahir N, Northey JJ, et al. Matrix compliance permits NF—kappaB activation to drive therapy resistance in breast cancer. J Exp Med. 2021; 218(5) https://doi.org/10.1084/jem.20191360

[21]

Shan H, Chen M, Zhao S, et al. Acoustic virtual 3D scaffold for direct—interacting tumor organoid—immune cell coculture systems. Sci Adv. 2024; 10(47): eadr4831. https://doi.org/10.1126/sciadv.adr4831

[22]

Azimian Zavareh V, Rafiee L, Sheikholeslam M, et al. Three—dimensional in vitro models: a promising tool to scale—up breast cancer research. ACS Biomater Sci Eng. 2022; 8(11): 4648-4672. https://doi.org/10.1021/acsbiomaterials.2c00277

[23]

Wu W, Liu Y, Liu R, et al. Decellularized brain extracellular matrix hydrogel aids the formation of human spinal—cord organoids recapitulating the complex three—dimensional organization. ACS Biomater Sci Eng. 2024; 10(5): 3203-3217. https://doi.org/10.1021/acsbiomaterials.4c00029

[24]

Urbischek M, Rannikmae H, Foets T, Ravn K, Hyvonen M, de la Roche M. Organoid culture media formulated with growth factors of defined cellular activity. Sci Rep. 2019; 9(1): 6193. https://doi.org/10.1038/s41598—019—42604—0

[25]

Rosenbluth JM, Schackmann RCJ, Gray GK, et al. Organoid cultures from normal and cancer—prone human breast tissues preserve complex epithelial lineages. Nat Commun. 2020; 11(1): 1711. https://doi.org/10.1038/s41467—020—15548—7 [PMID: 32249764; PMCID: PMC7136203].

[26]

Dekkers JF, van Vliet EJ, Sachs N, et al. Long—term culture, genetic manipulation and xenotransplantation of human normal and breast cancer organoids. Nat Protoc. 2021; 16(4): 1936-1965. https://doi.org/10.1038/s41596—020—00474—1

[27]

Mohan SC, Lee TY, Giuliano AE, Cui X. Current status of breast organoid models. Front Bioeng Biotechnol. 2021; 9: 745943. https://doi.org/10.3389/fbioe.2021.745943 [PMID: 34805107; PMCID: PMC8602090].

[28]

Sachs N, de Ligt J, Kopper O, et al. A living biobank of breast cancer organoids captures disease heterogeneity. Cell. 2018; 172(1—2): 373-386. https://doi.org/10.1016/j.cell.2017.11.010 [PMID: 29224780].

[29]

Neal JT, Li X, Zhu J, et al. Organoid modeling of the tumor immune microenvironment. Cell. 2018; 175(7): 1972-1988. https://doi.org/10.1016/j.cell.2018.11.021 [PMID: 30550791; PMCID: PMC6656687].

[30]

Srivastava V, Huycke TR, Phong KT, Gartner ZJ. Organoid models for mammary gland dynamics and breast cancer. Curr Opin Cell Biol. 2020; 66: 51-58. https://doi.org/10.1016/j.ceb.2020.05.003

[31]

Guan D, Liu X, Shi Q, He B, Zheng C, Meng X. Breast cancer organoids and their applications for precision cancer immunotherapy. World J Surg Oncol. 2023; 21(1): 343. https://doi.org/10.1186/s12957—023—03231—2

[32]

Kavuri SM, Jain N, Galimi F, et al. HER2 activating mutations are targets for colorectal cancer treatment. Cancer Discov. 2015; 5(8): 832-841. https://doi.org/10.1158/2159—8290.CD—14—1211

[33]

Bhatia S, Kramer M, Russo S, et al. Patient—derived triple—negative breast cancer organoids provide robust model systems that recapitulate tumor intrinsic characteristics. Cancer Res. 2022; 82(7): 1174-1192. https://doi.org/10.1158/0008—5472.CAN—21—2807

[34]

Sato T, Stange DE, Ferrante M, et al. Long—term expansion of epithelial organoids from human colon, adenoma, adenocarcinoma, and Barrett's epithelium. Gastroenterology. 2011; 141(5): 1762-1772. https://doi.org/10.1053/j.gastro.2011.07.050

[35]

State Key Laboratory of Biotherapy, Sichuan University; West China Hospital, Sichuan University; Guangzhou Jingke Biotechnology Co., Ltd.; Chengdu Nuode Medical Laboratory Co., Ltd.; National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences; CAS Center for Excellence in Molecular Cell Science; Guangdong Provincial People's Hospital; Sun Yat—sen University Cancer Center; The First Affiliated Hospital of Guangdong Pharmaceutical University; Shenzhen Second People's Hospital; North Sichuan Medical College; South China University of Technology; The First People's Hospital of Foshan. Guideline for preparation, cryopreservation, recovery and identification of organoids of human normal breast and breast cancer tissue. Chin Med Biotechnol. 2023; 18(4): 369-384. https://doi.org/10.3969/j.issn.1673—713X.2023.04.014

[36]

Chen P, Zhang X, Ding R, et al. Patient—derived organoids can guide personalized therapies for patients with advanced breast cancer. Adv Sci. 2021; 8(22) https://doi.org/10.1002/advs.202101176 [PMID: 34605222; PMCID: PMC8596108].

[37]

Jia Z, Xu H, Zhang Y, et al. Distinct discrepancy in breast cancer organoids recapitulation among molecular subtypes revealed by single—cell transcriptomes analysis. Clin Transl Med. 2024; 14(9): e70023. https://doi.org/10.1002/ctm2.70023 [PMID: 39305488; PMCID: PMC11416080].

[38]

Shah SP, Roth A, Goya R, et al. The clonal and mutational evolution spectrum of primary triple—negative breast cancers. Nature. 2012; 486(7403): 395-399. https://doi.org/10.1038/nature10933

[39]

Tuveson D, Clevers H. Cancer modeling meets human organoid technology. Science. 2019; 364(6444): 952-955. https://doi.org/10.1126/science.aaw6985

[40]

Huang S, Mei Z, Wan A, Zhao M, Qi X. Application and prospect of organoid technology in breast cancer. Front Immunol. 2024; 15: 1413858. https://doi.org/10.3389/fimmu.2024.1413858

[41]

Hockney S, Parker J, Turner JE, et al. Next generation organoid engineering to replace animals in cancer drug testing. Biochem Pharm. 2023; 213: 115586. https://doi.org/10.1016/j.bcp.2023.115586

[42]

Dustin D, Gu G, Beyer AR, et al. RON signalling promotes therapeutic resistance in ESR1 mutant breast cancer. Br J Cancer. 2021; 124(1): 191-206. https://doi.org/10.1038/s41416—020—01174—z

[43]

Gong R, Ma Z, He L, Jiang S, Cao D, Cheng Y. Identification and evaluation of a novel PARP1 inhibitor for the treatment of triple—negative breast cancer. Chem Biol Inter. 2023; 382: 110567. https://doi.org/10.1016/j.cbi.2023.110567

[44]

Merino D, Weber TS, Serrano A, et al. Barcoding reveals complex clonal behavior in patient—derived xenografts of metastatic triple negative breast cancer. Nat Commun. 2019; 10(1): 766. https://doi.org/10.1038/s41467—019—08595—2

[45]

Siegel RL, Kratzer TB, Giaquinto AN, Sung H, Jemal A. Cancer statistics, 2025. CA Cancer J Clin. 2025; 75(1): 10-45. https://doi.org/10.3322/caac.21871

[46]

Jin X, Zhou YF, Ma D, et al. Molecular classification of hormone receptor—positive HER2—negative breast cancer. Nat Genet. 2023; 55(10): 1696-1708. https://doi.org/10.1038/s41588—023—01507—7

[47]

Bardia A, Cortes J, Bidard FC, et al. Elacestrant in ER+, HER2— metastatic breast cancer with ESR1—mutated tumors: subgroup analyses from the phase III EMERALD trial by prior duration of endocrine therapy plus CDK4/6 inhibitor and in clinical subgroups. Clin Cancer Res. 2024; 30(19): 4299-4309. https://doi.org/10.1158/1078—0432.CCR—24—1073

[48]

Miricescu D, Totan A, Stanescu II S, Badoiu SC, Stefani C, Greabu M. PI3K/AKT/mTOR signaling pathway in breast cancer: from molecular landscape to clinical aspects. Int J Mol Sci. 2020; 22(1) https://doi.org/10.3390/ijms22010173

[49]

Blawski R, Vokshi BH, Guo X, et al. Methylation of the chromatin modifier KMT2D by SMYD2 contributes to therapeutic response in hormone—dependent breast cancer. Cell Rep. 2024; 43(5): 114174. https://doi.org/10.1016/j.celrep.2024.114174

[50]

Navarro—Yepes J, Kettner NM, Rao X, et al. Abemaciclib is effective in palbociclib—resistant hormone receptor—positive metastatic breast cancers. Cancer Res. 2023; 83(19): 3264-3283. https://doi.org/10.1158/0008—5472.Can—23—0705

[51]

Crump LS, Wyatt GL, Rutherford TR, Richer JK, Porter WW, Lyons TR. Hormonal regulation of semaphorin 7a in ER(+) breast cancer drives therapeutic resistance. Cancer Res. 2021; 81(1): 187-198. https://doi.org/10.1158/0008—5472.Can—20—1601

[52]

Boscolo Bielo L, Trapani D, Nicolo E, et al. The evolving landscape of metastatic HER2—positive, hormone receptor—positive breast cancer. Cancer Treat Rev. 2024; 128: 102761. https://doi.org/10.1016/j.ctrv.2024.102761

[53]

Shou J, Massarweh S, Osborne CK, et al. Mechanisms of tamoxifen resistance: increased estrogen receptor—HER2/neu cross—talk in ER/HER2—positive breast cancer. J Natl Cancer Inst. 2004; 96(12): 926-935. https://doi.org/10.1093/jnci/djh166

[54]

Belli S, Esposito D, Ascione CM, et al. EGFR and HER2 hyper—activation mediates resistance to endocrine therapy and CDK4/6 inhibitors in ER+ breast cancer. Cancer Lett. 2024; 593: 216968. https://doi.org/10.1016/j.canlet.2024.216968

[55]

Agostinetto E, Curigliano G, Piccart M. Emerging treatments in HER2—positive advanced breast cancer: Keep raising the bar. Cell Rep Med. 2024; 5(6): 101575. https://doi.org/10.1016/j.xcrm.2024.101575

[56]

Li YW, Dai LJ, Wu XR, et al. Molecular characterization and classification of HER2—positive breast cancer inform tailored therapeutic strategies. Cancer Res. 2024; 84(21): 3669-3683. https://doi.org/10.1158/0008—5472.Can—23—4066

[57]

Zou Y, Zheng S, Xie X, et al. N6—methyladenosine regulated FGFR4 attenuates ferroptotic cell death in recalcitrant HER2—positive breast cancer. Nat Commun. 2022; 13(1): 2672. https://doi.org/10.1038/s41467—022—30217—7

[58]

Li H, Wang J, Yi Z, et al. CDK12 inhibition enhances sensitivity of HER2+ breast cancers to HER2—tyrosine kinase inhibitor via suppressing PI3K/AKT. Eur J Cancer. 2021; 145: 92-108. https://doi.org/10.1016/j.ejca.2020.11.045

[59]

Zhang H, Zhang L, He Y, et al. PI3K PROTAC overcomes the lapatinib resistance in PIK3CA—mutant HER2 positive breast cancer. Cancer Lett. 2024; 598: 217112. https://doi.org/10.1016/j.canlet.2024.217112

[60]

Elias AD. Triple—negative breast cancer: a short review. Am J Clin Oncol. 2010; 33(6): 637-645. https://doi.org/10.1097/COC.0b013e3181b8afcf

[61]

Lv J, Du X, Wang M, Su J, Wei Y, Xu C. Construction of tumor organoids and their application to cancer research and therapy. Theranostics. 2024; 14(3): 1101-1125. https://doi.org/10.7150/thno.91362

[62]

Conway ME, McDaniel JM, Graham JM, et al. STAT3 and GR cooperate to drive gene expression and growth of basal—like triple—negative breast cancer. Cancer Res. 2020; 80(20): 4355-4370. https://doi.org/10.1158/0008—5472.Can—20—1379

[63]

Wang X, Chen T, Li C, et al. CircRNA—CREIT inhibits stress granule assembly and overcomes doxorubicin resistance in TNBC by destabilizing PKR. J Hematol Oncol. 2022; 15(1): 122. https://doi.org/10.1186/s13045—022—01345—w

[64]

Bailleux C, Eberst L, Bachelot T. Treatment strategies for breast cancer brain metastases. Br J Cancer. 2021; 124(1): 142-155. https://doi.org/10.1038/s41416—020—01175—y

[65]

Palmieri D, Bronder JL, Herring JM, et al. Her—2 overexpression increases the metastatic outgrowth of breast cancer cells in the brain. Cancer Res. 2007; 67(9): 4190-4198. https://doi.org/10.1158/0008—5472.Can—06—3316

[66]

Wang C, Nagayach A, Patel H, et al. Utilizing human cerebral organoids to model breast cancer brain metastasis in culture. Breast Cancer Res. 2024; 26(1): 108. https://doi.org/10.1186/s13058—024—01865—y

[67]

Nazari H, Cho AN, Goss D, Thiery JP, Ebrahimi Warkiani M. Impact of brain organoid—derived sEVs on metastatic adaptation and invasion of breast carcinoma cells through a microphysiological system. Lab Chip. 2024; 24(14): 3434-3455. https://doi.org/10.1039/d4lc00296b

[68]

Seyfried TN, Huysentruyt LC. On the origin of cancer metastasis. Crit Rev Oncog. 2013; 18(1—2): 43-73. https://doi.org/10.1615/critrevoncog.v18.i1—2.40

[69]

Yu TJ, Liu YY, Li XG, et al. PDSS1—mediated activation of CAMK2A—STAT3 signaling promotes metastasis in triple—negative breast cancer. Cancer Res. 2021; 81(21): 5491-5505. https://doi.org/10.1158/0008—5472.CAN—21—0747

[70]

Liu Y, Sun Q, Guo J, et al. Dual ferroptosis induction in N2—TANs and TNBC cells via FTH1 targeting: a therapeutic strategy for triple—negative breast cancer. Cell Rep Med. 2025; 6(1): 101915. https://doi.org/10.1016/j.xcrm.2024.101915

[71]

Xiao Y, Ma D, Yang YS, et al. Comprehensive metabolomics expands precision medicine for triple—negative breast cancer. Cell Res. 2022; 32(5): 477-490. https://doi.org/10.1038/s41422—022—00614—0

[72]

Vernier M, Dufour CR, McGuirk S, et al. Estrogen—related receptors are targetable ROS sensors.Genes Dev. 2020; 34(7—8): 544-559. https://doi.org/10.1101/gad.330746.119

[73]

Shirure VS, Bi Y, Curtis MB, et al. Tumor—on—a—chip platform to investigate progression and drug sensitivity in cell lines and patient—derived organoids. Lab Chip. 2018; 18(23): 3687-3702. https://doi.org/10.1039/c8lc00596f

[74]

Liu H, Gan Z, Qin X, Wang Y, Qin J. Advances in microfluidic technologies in organoid research. Adv Healthc Mater. 2024; 13(21) https://doi.org/10.1002/adhm.202302686 [PMID: 38134345].

[75]

Tao T, Wang Y, Chen W, et al. Engineering human islet organoids from iPSCs using an organ—on—chip platform. Lab Chip. 2019; 19(6): 948-958. https://doi.org/10.1039/c8lc01298a

[76]

Brandenberg N, Hoehnel S, Kuttler F, et al. High—throughput automated organoid culture via stem—cell aggregation in microcavity arrays. Nat Biomed Eng. 2020; 4(9): 863-874. https://doi.org/10.1038/s41551—020—0565—2

[77]

Zhu Y, Wang L, Yu H, et al. In situ generation of human brain organoids on a micropillar array. Lab Chip. 2017; 17(17): 2941-2950. https://doi.org/10.1039/c7lc00682a

[78]

Wang Y, Wang H, Deng P, et al. In situ differentiation and generation of functional liver organoids from human iPSCs in a 3D perfusable chip system. Lab Chip. 2018; 18(23): 3606-3616. https://doi.org/10.1039/c8lc00869h

[79]

Wang L, Xiang M, Liu Y, et al. Human induced pluripotent stem cells derived endothelial cells mimicking vascular inflammatory response under flow. Biomicrofluidics. 2016; 10(1): 014106. https://doi.org/10.1063/1.4940041

[80]

Yuan L, Xie S, Bai H, et al. Reconstruction of dynamic mammary mini gland in vitro for normal physiology and oncogenesis. Nat Methods. 2023; 20(12): 2021-2033. https://doi.org/10.1038/s41592—023—02039—y

[81]

Dornhof J, Kieninger J, Muralidharan H, Maurer J, Urban GA, Weltin A. Microfluidic organ—on—chip system for multi—analyte monitoring of metabolites in 3D cell cultures. Lab Chip. 2022; 22(2): 225-239. https://doi.org/10.1039/d1lc00689d

[82]

Koledova Z. 3D coculture of mammary organoids with fibrospheres: a model for studying epithelial—stromal interactions during mammary branching morphogenesis. Methods Mol Biol. 2017; 1612: 107-124. https://doi.org/10.1007/978—1—4939—7021—6_8

[83]

Saini H, Nikkhah M. Fabrication method of a high—density co—culture tumor—stroma platform to study cancer progression. Methods Mol Biol. 2021; 2258: 241-255. https://doi.org/10.1007/978—1—0716—1174—6_16

[84]

Dijkstra KK, Cattaneo CM, Weeber F, et al. Generation of tumor—reactive T cells by co—culture of peripheral blood lymphocytes and tumor organoids. Cell. 2018; 174(6): 1586-1598. https://doi.org/10.1016/j.cell.2018.07.009 [PMID: 30100188; PMCID: PMC6558289].

[85]

Sun CP, Lan HR, Fang XL, Yang XY, Jin KT. Organoid models for precision cancer immunotherapy. Front Immunol. 2022; 13: 770465. https://doi.org/10.3389/fimmu.2022.770465

[86]

Pasic L, Eisinger—Mathason TS, Velayudhan BT, et al. Sustained activation of the HER1—ERK1/2—RSK signaling pathway controls myoepithelial cell fate in human mammary tissue. Genes Dev. 2011; 25(15): 1641-1653. https://doi.org/10.1101/gad.2025611

[87]

Huang C, Jin H. Progress and perspective of organoid technology in breast cancer research. Chin Med J. 2024; 137(18): 2157-2168. https://doi.org/10.1097/cm9.0000000000002889

[88]

Dijkstra KK, Cattaneo CM, Weeber F, et al. Generation of tumor—reactive T cells by co—culture of peripheral blood lymphocytes and tumor organoids. Cell. 2018; 174(6): 1586-1598. https://doi.org/10.1016/j.cell.2018.07.009 PMID: 30100188; PMCID: PMC6558289.

[89]

Cattaneo CM, Dijkstra KK, Fanchi LF, et al. Tumor organoid—T—cell coculture systems. Nat Protoc. 2020; 15(1): 15-39. https://doi.org/10.1038/s41596—019—0232—9

[90]

Shi Y, Cai G, Zhang C, et al. Resveratrol suppresses growth and VCAN expression in a cancer—associated fibroblast—breast cancer hybrid organoid. Int Immunopharmacol. 2025; 153: 114451. https://doi.org/10.1016/j.intimp.2025.114451

[91]

Hogstrom JM, Cruz KA, Selfors LM, et al. Simultaneous isolation of hormone receptor—positive breast cancer organoids and fibroblasts reveals stroma—mediated resistance mechanisms. J Biol Chem. 2023; 299(8): 105021. https://doi.org/10.1016/j.jbc.2023.105021

[92]

Xu NY, Li J, Wang ML, Chen XY, Tang R, Liu XQ. Fabrication of a coculture organoid model in the biomimetic matrix of alginate to investigate breast cancer progression in a TAMs—leading immune microenvironment. ACS Appl Mater Interfaces. 2024; 16(9): 11275-11288. https://doi.org/10.1021/acsami.3c17863

[93]

Maulana TI, Teufel C, Cipriano M, et al. Breast cancer—on—chip for patient—specific efficacy and safety testing of CAR—T cells. Cell Stem Cell. 2024; 31(7): 989-1002. https://doi.org/10.1016/j.stem.2024.04.018

[94]

Fu T, Jin X, He M, et al. Interferon—induced senescent CD8(+) T cells reduce anti—PD1 immunotherapy efficacy in early triple—negative breast cancer. Sci Transl Med. 2025; 17(815): eadj7808. https://doi.org/10.1126/scitranslmed.adj7808

[95]

Leung D, Kaur J, Richardson G, Jardé T. Breast cancer organoids: advancements and applications in precision medicine. Crit Rev Oncol Hematol. 2025; 214: 104914. https://doi.org/10.1016/j.critrevonc.2025.104914

[96]

Zhang M, Li L, Pu H, et al. Tumor immune organoids in immunotherapy resistance and drug screening.Drug Resist Updat. 2026; 85: 101360. https://doi.org/10.1016/j.drup.2026.101360

[97]

Deng S, Li C, Cao J, et al. Organ—on—a—chip meets artificial intelligence in drug evaluation. Theranostics. 2023; 13(13): 4526-4558. https://doi.org/10.7150/thno.87266

[98]

Farhang Doost N, Srivastava SK. A comprehensive review of organ—on—a—chip technology and its applications. Biosensors. 2024; 14(5) https://doi.org/10.3390/bios14050225

[99]

Guillen KP, Fujita M, Butterfield AJ, et al. A human breast cancer—derived xenograft and organoid platform for drug discovery and precision oncology. Nat Cancer. 2022; 3(2): 232-250. https://doi.org/10.1038/s43018—022—00337—6

[100]

Tzeng YT, Hsiao JH, Tseng LM, Hou MF, Li CJ. Breast cancer organoids derived from patients: A platform for tailored drug screening. Biochem Pharm. 2023; 217: 115803. https://doi.org/10.1016/j.bcp.2023.115803

[101]

Ma Q, Tao H, Li Q, et al. OrganoidDB: a comprehensive organoid database for the multi—perspective exploration of bulk and single—cell transcriptomic profiles of organoids. Nucleic Acids Res. 2023; 51(D1): D1086. https://doi.org/10.1093/nar/gkac942 [PMID: 36271792; PMCID: PMC9825539].

[102]

Yang H, Wang Y, Wang P, Zhang N, Wang P. Tumor organoids for cancer research and personalized medicine. Cancer Biol Med. 2021; 19(3): 319-332. https://doi.org/10.20892/j.issn.2095—3941.2021.0335

[103]

Zuo J, Fang Y, Wang R, Liang S. High—throughput solutions in tumor organoids: from culture to drug screening. Stem Cells. 2025; 43(1) https://doi.org/10.1093/stmcls/sxae070

[104]

Lee S, Chang J, Kang SM, et al. High—throughput formation and image—based analysis of basal—in mammary organoids in 384—well plates. Sci Rep. 2022; 12(1): 317. https://doi.org/10.1038/s41598—021—03739—1

[105]

Palcau AC, Pulito C, De Pascale V, et al. CircPVT1 weakens miR—33a—5p unleashing the c—MYC/GLS1 metabolic axis in breast cancer. J Exp Clin Cancer Res. 2025; 44(1): 100. https://doi.org/10.1186/s13046—025—03355—1

[106]

Zhan T, Rindtorff N, Betge J, Ebert MP, Boutros M. CRISPR/Cas9 for cancer research and therapy. Semin Cancer Biol. 2019; 55: 106-119. https://doi.org/10.1016/j.semcancer.2018.04.001

[107]

Doench JG, Fusi N, Sullender M, et al. Optimized sgRNA design to maximize activity and minimize off—target effects of CRISPR—Cas9. Nat Biotechnol. 2016; 34(2): 184-191. https://doi.org/10.1038/nbt.3437

[108]

Du Y, Liu Y, Hu J, Peng X, Liu Z. CRISPR/Cas9 systems: delivery technologies and biomedical applications. Asian J Pharm Sci. 2023; 18(6): 100854. https://doi.org/10.1016/j.ajps.2023.100854

[109]

Jinek M, Jiang F, Taylor DW, et al. Structures of Cas9 endonucleases reveal RNA—mediated conformational activation. Science. 2014; 343(6176): 1247997. https://doi.org/10.1126/science.1247997

[110]

Jiang C, Meng L, Yang B, Luo X. Application of CRISPR/Cas9 gene editing technique in the study of cancer treatment. Clin Genet. 2020; 97(1): 73-88. https://doi.org/10.1111/cge.13589

[111]

Dekkers JF, Whittle JR, Vaillant F, et al. Modeling breast cancer using CRISPR—Cas9—mediated engineering of human breast organoids. J Natl Cancer Inst. 2020; 112(5): 540-544. https://doi.org/10.1093/jnci/djz196

[112]

Duarte AA, Gogola E, Sachs N, et al. BRCA—deficient mouse mammary tumor organoids to study cancer—drug resistance. Nat Methods. 2018; 15(2): 134-140. https://doi.org/10.1038/nmeth.4535

[113]

Drost J, van Boxtel R, Blokzijl F, et al. Use of CRISPR—modified human stem cell organoids to study the origin of mutational signatures in cancer. Science. 2017; 358(6360): 234-238. https://doi.org/10.1126/science.aao3130

[114]

Zhang Z, Christin JR, Wang C, Ge K, Oktay MH, Guo W. Mammary—stem—cell—based somatic mouse models reveal breast cancer drivers causing cell fate dysregulation. Cell Rep. 2016; 16(12): 3146-3156. https://doi.org/10.1016/j.celrep.2016.08.048

PDF (3258KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/