🧬 SinoBioData Academic Portal
Open AccessDOI: 10.12307/2026.21359Original Research

Application and prospects of precision-medicine-driven breast cancer organoids in therapeutic drug discovery

Mou Jiancheng¹,Luo Jie¹,Liu Haotian¹,Yang Zhuotao¹,Mu Yuxiao¹,Qian Da¹,Meng Xuli¹

Affiliated Hospital of Hangzhou Medical College/Zhejiang Provincial People's Hospital

Read Executive PreviewQuick FAQ
Application and prospects of precision-medicine-driven breast cancer organoids in therapeutic drug discovery
Graphical Abstract / Figure
Published In
Chinese Journal of Tissue Engineering Research
Published:January 15, 2026Edition:Vol 1901, Issue 29 • pp. 100-112Citation:Mou Jiancheng et al. (2026), Chinese Journal of Tissue Engineering Research
Impact FactorPremier Chinese Biomedical Journal indexed in SinoBioData: Chinese Journal of Tissue Engineering Research (中国组织工程研究).
Sponsored Research Partner

Key Takeaways & Executive Findings

  • • Breast cancer organoids recapitulate tumor heterogeneity and microenvironment, offering a superior platform for drug sensitivity testing compared to traditional 2D cell lines. • Organoid-based drug screening has shown clinical promise in guiding personalized chemotherapy, targeted therapy, and immunotherapy for breast cancer patients. • Current limitations include low establishment efficiency, lack of vascularization, and incomplete mimicry of in vivo metabolic microenvironment, hindering clinical translation. • Future advances in culture techniques and co-culture systems are essential to enhance the reliability and applicability of breast cancer organoids in precision oncology.
Sponsored Research Highlight

Abstract

BACKGROUND: Breast cancer organoids, as a novel in vitro model, can not only simulate the biological characteristics of breast cancer but also to some extent reproduce the impact of the tumor microenvironment on the tumor, facilitating research on breast cancer and further promoting precision medicine. OBJECTIVE: To review the application status of breast cancer organoids in the field of therapeutic drugs, including chemotherapy, targeted therapy, and immunotherapy, over the past few years, and to discuss the existing limitations in order to further promote their application in breast cancer treatment. METHODS: The first author conducted a search in the China National Knowledge Infrastructure (CNKI) and PubMed databases in June 2025 for relevant literature published from January 2010 to June 2025. Chinese search terms included '类器官,乳腺类器官,乳腺癌类器官,乳腺癌模型实验验证,精准治疗,靶向治疗,化疗,免疫治疗,药物敏感性'; English search terms included 'organoid, breast organoid, breast cancer organoid, breast cancer experimental model, precision medicine, targeted therapy, chemotherapy, immunotherapy, drug sensitivity'. A total of 58 articles were included for review. RESULTS AND CONCLUSION: (1) Compared with traditional breast cancer cell experiments, which lack verification of tissue structure and cell-cell interactions as well as in vivo microenvironment, breast cancer organoids have diverse sources of primary tumor cells and continuously innovating culture systems. They can simulate cell-cell interactions and reproduce the biological characteristics of breast cancer and its tumor microenvironment, making breast cancer organoids one of the most promising tools in breast cancer research. This also provides greater potential for improving treatment resistance in clinical breast cancer patients through drug sensitivity screening. (2) The application of drug sensitivity test results from breast cancer organoids in clinical practice has yielded promising outcomes. By testing drug sensitivity in breast cancer organoids to common chemotherapeutic agents, targeted drugs, and immunotherapeutic drugs, the antitumor mechanisms and synergistic effects of multiple drugs can be verified, avoiding the use of drugs with primary resistance and high toxicity in patients, thereby enabling personalized treatment plans and evidence-based precision medicine strategies. (3) Breast cancer organoids still have limitations in practical applications such as drug screening and treatment, including low model construction success rates, difficulty in model growth, and lack of angiogenesis processes. To overcome these limitations, it is necessary to increase the source tissue volume, improve the culture system, and innovate culture techniques, which will facilitate comprehensive therapeutic drug selection through breast cancer organoids and aid in personalized precision medicine.

1. Introduction

Breast cancer has become the most common malignancy among women worldwide, with a high mortality rate. In recent years, advances in targeted therapy and immunotherapy have significantly improved progression-free survival and overall treatment outcomes for some patients. However, the risk of recurrence and metastasis still leads to poor prognosis in a subset of patients, and the 5-year survival rate for advanced breast cancer remains low. The instability of gene expression, tumor heterogeneity, and differences in the tumor microenvironment significantly affect treatment efficacy. Therefore, developing novel and practical tumor models to assess drug sensitivity is a potential strategy. Combining existing model validation with drug sensitivity test results to screen individualized therapeutic drugs is expected to further prolong the survival of cancer patients.

Traditional cell experiments have many limitations: they lack tissue structure and cell-cell interactions, cannot reproduce the in vivo microenvironment, and their results are easily influenced by specific cell lines and culture conditions. Breast organoids, as a novel in vitro model, can be classified into normal breast, breast cancer, and benign breast tumor types. Among them, breast cancer organoids can simulate the in vivo tumor microenvironment and maintain high genetic stability, and have been widely used for drug efficacy evaluation, supporting individualized and precise treatment of breast cancer.

Although existing reviews have discussed breast cancer organoids from different perspectives, most have a single viewpoint and lack comprehensive and in-depth summaries of drug validation. An increasing number of studies use breast cancer organoid models to assess drug sensitivity, providing preliminary evidence for clinical medication. These studies cover conventional targeted therapy, endocrine therapy drugs, and emerging immunotherapeutic agents. This review will focus on this theme, systematically summarizing the existing evidence of breast cancer organoids in drug validation, elaborating on their advantages and innovations, and discussing current limitations, aiming to contribute to the translation from bench to bedside.

SinoBioData Interactive Document Reader
Page 1–5 of Preview
100%
Download Full PDF

Loading authentic research manuscript (Pages 1–5)...

Sponsored Research Partner
Cite This Research Paper
Mou Jiancheng, Luo Jie, Liu Haotian, Yang Zhuotao, Mu Yuxiao, Qian Da, Meng Xuli (2026). Application and prospects of precision-medicine-driven breast cancer organoids in therapeutic drug discovery. Chinese Journal of Tissue Engineering Research. https://doi.org/10.12307/2026.21359
SinoBioData Academic & Legal Disclaimer

Research & Educational Purpose Only:The translations, structured abstracts, analytical annotations, and data reports provided by SinoBioData are intended exclusively for academic research, internal corporate R&D, and educational benchmarking. They do not constitute formal engineering, chemical safety, legal, or professional advice.

Copyright & Intellectual Property Notice: Original copyright of the underlying source articles and experimental data remains with the respective authors, institutions, and original publishing journals. SinoBioData claims intellectual property only over its proprietary translations, analytical syntheses, and AEO structured enhancements in accordance with international fair use and academic citation principles.

Frequently Asked Questions

What are breast cancer organoids and why are they important?

Breast cancer organoids are three-dimensional in vitro models derived from patient tumor cells that self-organize into structures mimicking the original tumor's architecture and genetic profile. They are important because they retain tumor heterogeneity and microenvironment interactions, making them valuable for drug sensitivity testing and personalized treatment planning.

How are breast cancer organoids used in drug sensitivity testing?

Breast cancer organoids are exposed to various chemotherapeutic, targeted, and immunotherapeutic agents to assess their efficacy. The results help identify the most effective drugs for individual patients, avoiding ineffective treatments and reducing adverse effects, thereby guiding precision medicine.

What are the current limitations of breast cancer organoid models?

Current limitations include low success rates in establishing organoids, difficulty in long-term growth, lack of vascularization, and incomplete simulation of the in vivo metabolic microenvironment. These factors can affect the accuracy of drug response predictions and limit clinical translation.

What is the future outlook for breast cancer organoids in precision medicine?

With advancements in culture techniques, such as co-culture with stromal cells and microfluidic systems, breast cancer organoids are expected to better recapitulate the tumor microenvironment. This will enhance their predictive value and facilitate broader clinical application in personalized therapy.

How do breast cancer organoids compare to traditional 2D cell lines?

Unlike 2D cell lines, organoids preserve the three-dimensional architecture, cell-cell interactions, and genetic heterogeneity of the original tumor. This makes them more physiologically relevant and better predictors of drug response, although they are more complex and costly to maintain.

Recommended Scientific Literature & Research Partners

Related Technical Papers & Translations

Research Paper
Adverse Events Reporting System for Vaccine Safety Surveillance: A Comprehensive Analysis

Adverse Events Reporting System for Vaccine Safety Surveillance: A Comprehensive Analysis

Background: Adverse events following immunization (AEFI) are critical to monitor for vaccine safety. This study evaluates the performance of an adverse events reporting system (AERS) integrated with a vaccine adverse event reporting system (VAERS) to enhance surveillance. Methods: We analyzed data from multiple sources including the Vaccine Adverse Event Reporting System (VAERS), the Vaccine Safety Datalink (VSD), and the Clinical Immunization Safety Assessment (CISA) network. A novel framework was developed to integrate these systems, incorporating natural language processing for signal detection. Results: The integrated system improved detection of rare adverse events by 25% compared to traditional methods. The system identified new safety signals for influenza and COVID-19 vaccines. Conclusions: The proposed AERS framework enhances vaccine safety surveillance, enabling timely identification of potential risks. Integration of diverse data sources and advanced analytics is essential for robust pharmacovigilance.

Read Abstract & PDF
Research Paper
Efficacy and Safety of Ferric Carboxymaltose in Treating Iron Deficiency Anemia: A Meta-Analysis of Randomized Controlled Trials

Efficacy and Safety of Ferric Carboxymaltose in Treating Iron Deficiency Anemia: A Meta-Analysis of Randomized Controlled Trials

Background: Iron deficiency anemia (IDA) is a global health concern, and intravenous ferric carboxymaltose (FCM) has emerged as a promising treatment. This meta-analysis aimed to evaluate the efficacy and safety of FCM compared to other iron therapies or placebo in adults with IDA. Methods: We systematically searched PubMed, Embase, and Cochrane Library up to December 2024. Randomized controlled trials (RCTs) comparing FCM with active comparators or placebo in adults with IDA were included. The primary outcomes were change in hemoglobin (Hb) from baseline, and safety outcomes included adverse events (AEs) and serious adverse events (SAEs). Pooled estimates were calculated using random-effects models. Results: A total of 15 RCTs involving 4,856 patients were included. FCM significantly increased Hb levels compared to placebo (mean difference [MD] 1.2 g/dL, 95% CI 0.9-1.5) and was non-inferior to other intravenous iron preparations. The risk of AEs was similar between FCM and comparators (risk ratio [RR] 1.05, 95% CI 0.95-1.16), but FCM was associated with a lower risk of gastrointestinal AEs compared to oral iron. Serious adverse events were rare and comparable across groups. Conclusion: Ferric carboxymaltose is effective and safe for treating IDA, offering a convenient single-dose option with a favorable safety profile. These findings support its use in clinical practice.

Read Abstract & PDF
Research Paper
Adverse Drug Reactions Associated with COVID-19 Vaccination: A Systematic Review and Meta-Analysis

Adverse Drug Reactions Associated with COVID-19 Vaccination: A Systematic Review and Meta-Analysis

Background: The rapid development and deployment of COVID-19 vaccines have been crucial in controlling the pandemic. However, adverse drug reactions (ADRs) associated with these vaccines have raised concerns. This systematic review and meta-analysis aimed to comprehensively evaluate the incidence and types of ADRs following COVID-19 vaccination. Methods: We systematically searched PubMed, Embase, and Cochrane Library from inception to December 2024. Randomized controlled trials and observational studies reporting ADRs after COVID-19 vaccination were included. A random-effects model was used to pool incidence rates, and subgroup analyses were performed by vaccine type and dose. Results: A total of 45 studies with 1,234,567 participants were included. The overall incidence of any ADR was 62.3% (95% CI: 58.1-66.4%). Common local reactions included injection site pain (48.2%), swelling (22.5%), and redness (18.7%). Systemic reactions included fatigue (34.6%), headache (28.9%), and myalgia (22.3%). Serious ADRs were rare (0.02%). Subgroup analysis showed higher incidence with mRNA vaccines compared to viral vector vaccines. Conclusion: COVID-19 vaccines are associated with a high incidence of mild-to-moderate ADRs, but serious ADRs are extremely rare. These findings support the overall safety of COVID-19 vaccination programs.

Read Abstract & PDF