Development of a Triple-Negative Breast Cancer Model Using Patient-Derived Tumor Fragments and Study of its Response to Exposure to Chemotherapeutic Agents
##article.numberofdownloads## 100
##article.numberofviews## 381
pdf (Русский)

Keywords

breast cancer
PDX model
docetaxel
paclitaxel
cisplatin

How to Cite

Lyashenko, I. S., Goncharova , A. S., Shulga , A. A., Khodakova , D. V., Golovinov , I. V., Galina , A. V., Gurova, S. V., Shatova, Y. S., & Vladimirova , L. Y. (2025). Development of a Triple-Negative Breast Cancer Model Using Patient-Derived Tumor Fragments and Study of its Response to Exposure to Chemotherapeutic Agents. Voprosy Onkologii, 71(3), OF–2266. https://doi.org/10.37469/0507-3758-2025-71-3-OF-2266

Abstract

Introduction. find that triple-negative breast cancer (TNBC) is the most aggressive and difficult-to-treat subtype of breast cancer (BC), highlighting the need for the discovery and development of new drugs. Patient-derived xenograft (PDX) models are increasingly being used as model systems to test drug efficacy, as they mimic the characteristics of human tumors and their response to therapy better than other types of models.

Aim. To establish a PDX model of TNBC and characterize its sensitivity to several chemotherapeutic drugs used to treat TNBC, namely docetaxel, paclitaxel and cisplatin.

Materials and Methods. TNBC samples were obtained from 10 patients and implanted subcutaneously in immunodeficient mice. Histological examination was performed using hematoxylin and eosin staining and immunohistochemistry using antibodies against estradiol receptor, progesterone receptor and human epidermal growth factor receptor type 2. Analysis of drug sensitivity of the PDX model of TNBC was performed using the 3rd generation PDX: group 1 received paclitaxel (5 mg/kg), group 2 - docetaxel (1 mg/kg), group 3 - cisplatin (5 mg/kg), group 4 (control) - saline (n = 7 for each group). Tumor nodes were measured twice a week. The data obtained were analyzed using the STATISTICA 10.0 program; the data are presented as the mean ± error of the mean.

Results. In 3 out of 10 (30%) cases, tumor material engraftment occurred in immunodeficient mice, but only one PDX model showed stable growth as a result of successive xenotransplantations. The resulting PDX model was found to reproduce the histotype and expression pattern of estrogen receptors, progesterone receptor and HER2 receptor of the donor tumor. When exposed to docetaxel, paclitaxel and cisplatin, the tumor node volumes were 290.1 ± 22.3 mm3 (p < 0.05), 314.3 ± 20.0 mm3 and 212.3 ± 19.2 mm3, respectively, which was significantly less than the control which was 478.1 ± 50.2 mm3.

Conclusion. The resulting PDX model corresponds to the TNBC subtype and is characterized by sensitivity to todocetaxel, paclitaxel and cisplatin. This PDX model can be considered a valuable tool for research into the efficacy of new therapeutic strategies against TNBC.

https://doi.org/10.37469/0507-3758-2025-71-3-OF-2266
##article.numberofdownloads## 100
##article.numberofviews## 381
pdf (Русский)

References

Matossian M.D., Giardina A.A., Wright M.K., et al. Patient-derived xenografts as an innovative surrogate tumor model for the investigation of health disparities in triple negative breast cancer. Women's Health Reports. 2020; 1(1): 383-392. URL: https://www.sci-hub.ru/10.1089/whr.2020.0037.

Derakhshan F., Reis-Filho J.S. Pathogenesis of triple-negative breast cancer. Annual Review of Pathology: Mechanisms of Disease. 2022; 17(1): 181-204.-DOI: 10.1146/annurev-pathol-042420-093238.

Cortes J., Rugo H.S., Cescon D.W., et al. Pembrolizumab plus chemotherapy in advanced triple-negative breast cancer. New England Journal of Medicine. 2022; 387(3): 217-226.-DOI: 10.1056/NEJMoa2202809.

Powell R.T., Rinkenbaugh A.L., Guo L., et al. Targeting neddylation and sumoylation in chemoresistant triple negative breast cancer. NPJ Breast Cancer. 2024; 10(1): 37.-DOI: 10.1038/s41523-024-00644-4.

Lee M.W., Miljanic M., Triplett T., et al. Current methods in translational cancer research. Cancer and Metastasis Reviews. 2021; 40: 7-30.-DOI: 10.1007/s10555-020-09931-5

Zeng M., Ruan Z., Tang J., et al. Generation, evolution, interfering factors, applications, and challenges of patient-derived xenograft models in immunodeficient mice. Cancer Cell International. 2023; 23(1): 120.-DOI: 10.1186/s12935-023-02953-3.

Roy S., Whitehead T.D., Li S. et al. Co-clinical FDG-PET radiomic signature in predicting response to neoadjuvant chemotherapy in triple-negative breast cancer. European journal of nuclear medicine and molecular imaging. 2022; 49(2): 550-562.-DOI: 10.1007/s00259-021-05489-8.

Vaklavas C., Matsen C.B., Chu Z. et al. TOWARDS study: Patient-derived xenograft engraftment predicts poor survival in patients with newly diagnosed triple-negative breast cancer. JCO Precision Oncology. 2024; 8: e2300724.-DOI: 10.1200/PO.23.00724.

Matossian M.D., Burks H.E., Bowles A.C., et al. A novel patient-derived xenograft model for claudin-low triple-negative breast cancer. Breast Cancer Res Treat. 2018; 169(2): 381-390.-DOI: 10.1007/s10549-018-4685-2.

Ляшенко И.С., Романова М.В., Гончарова А.С., et al. Сравнительная характеристика ортотопической и гетеротопической моделей in vivo рака молочной железы человека. Южно-Российский онкологический журнал. 2024; 5(1): 25-33.-DOI: 10.37748/2686-9039-2024-5-1-3. [Lyashenko I.S., Romanova M.V., Goncharova A.S., et al. Evaluation of engraftment and growth dynamics of orthotopic and heterotopic in vivo models of human breast cancer. South Russian Journal of Cancer = Yuzhno-Rossijskij onkologicheskij zhurnal. 2024; 5(1): 25-33.-DOI: 10.37748/2686-9039-2024-5-1-3 (in Rus)].

Na D., Moon H.G. Patient-derived xenograft models in breast cancer research. Translational Research in Breast Cancer. 2021; 1187: 283-301. -DOI: 10.1007/978-981-32-9620-6_14.

Кит О.И., Ващенко Л.Н., Дашкова И.Р., et al. Ксеногенные модели рака молочной железы человека в экспериментальных исследованиях. Современные проблемы науки и образования. 2019; 6: 184-184. [Kit O.I., Vaschenko L.N., Dashkova I.R., et al. Xenogenic models of human breast cancer in experimental studies. Modern Problems of Science and Education = Sovremennye Problemy Nauki i Obrazovaniya. 2019; 6: 184-184. (in Rus)]. URL: https://science-education.ru/ru/article/view?id=29229.

Idrisova K.F., Simon H.U., Gomzikova M.O. Role of patient-derived models of cancer in translational oncology. Cancers. 2022; 15(1): 139. -DOI: 10.3390/cancers15010139.

Katsiampoura A., Raghav K., Jiang Z.Q., et al. Modeling of patient-derived xenografts in colorectal cancer. Molecular cancer therapeutics. 2017; 16(7): 1435-1442. -DOI: 10.1158/1535-7163.MCT-16-0721.

Hernandez M.C., Bergquist J.R., Leiting J.L., et al. Patient-derived xenografts can be reliably generated from patient clinical biopsy specimens. Journal of Gastrointestinal Surgery. 2019; 23: 818-824.-DOI: 10.1007/s11605-019-04109-z.

Guillen K.P., Fujita M., Butterfield A.J., et al. A human breast cancer-derived xenograft and organoid platform for drug discovery and precision oncology. Nature Cancer. 2022; 3(2): 232-250. -DOI: 10.1038/s43018-022-00337-6.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

© АННМО «Вопросы онкологии», Copyright (c) 2025