Gene expression markers predicting hematogenous metastasis for HER2-negative breast cancer treatment with taxane-containing neoadjuvant chemotherapy
https://doi.org/10.29413/ABS.2026-11.2.14
Abstract
Background. Neoadjuvant chemotherapy (NAC) is a common treatment option for patients with triple-negative and HER2-positive breast cancer (BC) subtypes. The use of NAC in HER2-negative breast cancer is a matter of debate. For patients with HR+/HER2-breast cancer, the choice of NAC is still based on clinical and pathological characteristics rather than on biomarkers with a certain clinical value, in contrast to adjuvant therapy, where gene expression signatures are widely used for decision-making. Therefore, it is imperative to evaluate not only the efficacy of NAC but also to identify markers for disease prognosis in this specific patient group.
Aims. In this work, we studied the changes in the expression profile of HER2-negative breast tumors when using taxane-containing NAC regimens.
Material and methods. The material used was paired biopsy samples before treatment and tumor tissue (after NAC) for each patient. The expression landscape of the tumor was assessed using whole transcriptome microarray analysis using Clariom™ S Assay, human microarrays (Affymetrix, USA). Overall and metastasis-free survival curves for patients included in the study were constructed using the Kaplan-Meier method. The obtained result was validated on an independent sample.
Results. As a result, a comparison of the expression profile of the tumor of patients before and after NAC with taxane-containing regimens determined that the expression level of the PODXL2 gene in the tumor before treatment, depending on the response to therapy, and the level of expression of the NR2E1 and TMEM98 genes in the tumor after NAC, depending on the status of hematogenous metastasis, statistically significantly correlate with the OS and RFS of patients, respectively.
Conclusions. Potential expression markers of an objective response to the applied treatment and prediction of the occurrence of hematogenous metastasis of HER2-negative breast tumors were identified when prescribing taxane-containing treatment regimens.
About the Authors
M. K. IbragimovaRussian Federation
Marina K. Ibragimova – Cand. Sc. (Biol.), Researcher, laboratory of oncovirology, Cancer Research Institute, Тomsk National Research Medical Center, Russian Academy of Sciences.
Kooperative Lane 5, Tomsk 634009
E. A. Kravtsova
Russian Federation
Ekaterina A. Kravtsova – Junior Researcher, laboratory of oncovirology, Cancer Research Institute, Тomsk National Research Medical Center, Russian Academy of Sciences.
Kooperative Lane 5, Tomsk 634009
M. M. Tsyganov
Russian Federation
Matvey M. Tsyganov – Cand. Sc. (Biol.), Researcher, laboratory of oncovirology, Cancer Research Institute, Тomsk National Research Medical Center, Russian Academy of Sciences.
Kooperative Lane 5, Tomsk 634009
A. K. Shagabudinova
Russian Federation
Arina K. Shagabudinova – Research assistant, laboratory of oncovirology, Cancer Research Institute, Тomsk National Research Medical Center, Russian Academy of Sciences.
Kooperative Lane 5, Tomsk 634009
K. A. Gaptulbarova
Russian Federation
Ksenia A. Gaptulbarova – Junior Researcher, laboratory of oncovirology, Cancer Research Institute, Тomsk National Research Medical Center, Russian Academy of Sciences.
Kooperative Lane 5, Tomsk 634009
M. A. Vostrikova
Russian Federation
Maria A. Vostrikova – Junior Researcher, Department of General Oncology, Cancer Research Institute, Тomsk National Research Medical Center, Russian Academy of Sciences.
Kooperative Lane 5, Tomsk 634009
E. Yu. Garbukov
Russian Federation
Eugene Yu. Garbukov – Cand. Sc. (Med.), oncologist of the highest category, Researcher, Department of General Oncology, Cancer Research Institute, Тomsk National Research Medical Center, Russian Academy of Sciences.
Kooperative Lane 5, Tomsk 634009
N. V. Litviakov
Russian Federation
Nikolay V. Litviakov – Dr. Sc. (Biol.), Head of the laboratory of oncovirology, Cancer Research Institute, Тomsk National Research Medical Center, Russian Academy of Sciences.
Kooperative Lane 5, Tomsk 634009
References
1. Elkholi IE, Lalonde A, Park M, Côté J-F. Breast cancer metastatic dormancy and relapse: an enigma of microenvironment(s). Cancer Res. 2022; 82(24): 4497-4510. doi: 10.1158/0008-5472.CAN-22-1902
2. Shien T, Iwata H. Adjuvant and neoadjuvant therapy for breast cancer. Japanese J Clin Oncol. 2020; 50(3): 225-9. doi: 10.1093/jjco/hyz213
3. Derouane F, van Marcke C, Berlière M, Gerday A, Fellah L, Leconte I, et al. Predictive biomarkers of response to neoadjuvant chemotherapy in breast cancer: current and future perspectives for precision medicine. Cancers. 2022; 14(16): 3876. doi: 10.3390/cancers14163876
4. Spring LM, Bar Y, Isakoff SJ. The evolving role of neoadjuvant therapy for operable breast cancer. Journal of the National Comprehensive Cancer Network. 2022; 20(6): 723-734. doi: 10.6004/jnccn.2022.7016
5. Barzaman K, Moradi-Kalbolandi S, Hosseinzadeh A, Kazemi MH, Khorramdelazad H, Safari E, et al. Breast cancer immunotherapy: current and novel approaches. Int. Immunopharmacology. 2021; 98: 107886. doi: 10.1016/j.intimp.2021.107886
6. Torrisi R, Marrazzo E, Agostinetto E, De Sanctis R, Losurdo A, Masci G, et al. Neoadjuvant chemotherapy in hormone receptor-positive/HER2-negative early breast cancer: when, why and what? Critical Reviews in Oncology/Hematology. 2021; 160: 103280. doi: 10.1016/j.critrev-onc.2021.103280
7. Andre F, Ismaila N, Allison KH, Barlow WE, Collyar DE, Damodaran S, et al. Biomarkers for adjuvant endocrine and chemotherapy in early-stage breast cancer: ASCO guideline update. Journal of Clinical Oncology. 2022; 40(16): 1816-1837. doi: 10.1200/JCO.22.00069
8. Burstein HJ, Curigliano G, Thürlimann B, Weber WP, Poortmans P, Regan MM, et al. Customizing local and systemic therapies for women with early breast cancer: the St. Gallen International Consensus Guidelines for treatment of early breast cancer 2021. Annals of Oncology. 2021; 32(10): 1216-1235. doi: 10.1016/j.annonc.2021.06.023
9. Garutti M, Griguolo G, Botticelli A, Buzzatti G, De Angelis C, Gerratana L, et al. Definition of high-risk early hormone-positive HER2−negative breast cancer: a consensus review. Cancers. 2022; 14(8): 1898. doi: 10.3390/cancers14081898
10. Allison KH, Hammond MEH, Dowsett M, McKernin SE, Carey LA, Fitzgibbons PL, et al. Estrogen and progesterone receptor testing in breast cancer: ASCO/CAP guideline update. JournalofClinicalOncology. 2020; 38(12): 1346-1366. doi: 10.1200/JCO.19.02309
11. Wolff AC, Hammond MEH, Allison KH, Harvey BE, Mangu PB, McShane LM, et al. Human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline focused update. Archives of pathology and laboratory medicine. 2023; 147(9): 993-1000. doi: 10.5858/arpa.2018-0902-SA
12. Schenker AJ, Ortiz-Hernández GL. CYR61 as a potential biomarker and target in cancer prognosis and therapies. Cells. 2025; 14(11): 761. doi: 10.3390/cells14110761
13. Kim H, Son S, Ko Y, Lim H, Lee J, Lee KM, et al. CYR61 confers chemoresistance by upregulating surviving expression in triple-negative breast cancer. Carcinogenesis. 2024; 45: 510-519. doi: 10.1093/carcin/bgae013
14. Baron V, Adamson ED, Calogero A, Ragona G, Mercola D. The transcription factor EGR1 is a direct regulator of multiple tumor suppressors including TGFbeta1, PTEN, p53, and fibronectin. Cancer Gene Ther. 2006; 13(2): 115-124. doi: 10.1038/sj.cgt.7700896
15. Guevara-Nieto HM, Orozco CA, Parra-Medina RS, Zabaleta J, Lopez-Kleine L, Combita AL. Molecular determinants to neoadjuvant chemotherapy resistance in breast cancer patients: Insights from a Latin-American cohort. Cancer Res. 2025; 85(8_Supplement_1): 4632. doi: 10.1158/1538-7445.AM2025-4632
16. Saha SK, Islam SMR, Saha T, Nishat A, Biswas PK, Gil M, et al. Prognostic role of EGR1 in breast cancer: a systematic review. BMB Rep. 2021; 54(10): 497-504. doi: 10.5483/BMBRep.2021.54.10.087
17. LinY-Y, Wang C-Y, Phan NN, Chiao C-C, Li C-Y, Sun Z, et al. PODXL2 maintains cellular stemness and promotes breast cancer development through the Rac1/Akt pathway. Int J Med Sci. 2020; 17(11): 1639-1651. doi: 10.7150/ijms.46125
18. Lin YY, Wang CY, Phan NN, Chiao CC, Li CY, Sun Z, et al. PODXL2 maintains cellular stemness and promotes breast cancer development through the Rac1/Akt pathway. Int. J. Med. Sci. 2020; 17(11): 1639–1651. doi: 10.7150/ijms.46125
19. Huang D, Chen X, Zeng X, Lao L, Li J, Xing Y, et al. Targeting regulator of G protein signaling 1 in tumor-specific T cells enhances their trafficking to breast cancer. Nat. Immunol. 2021; 22: 865-879. doi: 10.1038/s41590-021-00939-9
20. Sun Y, Guo Y. Expression of Caspase-1 in breast cancer tissues and its effects on cell proliferation, apoptosis and invasion. Oncol Lett. 2018; 15: 6431-6435. doi: 10.3892/ol.2018.8176
21. Ma C, Wang Y, Chen W, Hou T, Zhang H, Zhang H, et al. Caspase-1 regulates the apoptosis and pyroptosis induced by phthalocyanine zinc-mediated photodynamic therapy in breast cancer MCF-7 cells. Molecules (Basel, Switzerland). 2023; 28(16): 5934. doi: 10.3390/molecules28165934
22. Cao YiM, Guan LJ, Li Y, Wei ChYu. PANoptosis-related molecular clustering and prognostic signature associated with the immune landscape and therapy response in breast cancer. Medicine. 2024, 103(37): e39511. doi: 10.1097/MD.0000000000039511
23. Hwang PY, Mathur J, Cao Y, Almeida J, Ye J, Morikis V, et al. A Cdh3-β-catenin-laminin signaling axis in a subset of breast tumor leader cells control leader cell polarization and directional collective migration. Dev. Cell. 2023; 58: 34-50. doi: 10.1016/j.devcel.2022.12.005
24. Turova P, Kushnarev V, Baranov O, Butusova A, Menshikova S, Yong ST, et al. The breast cancer classifier refines molecular breast cancer classification to delineate the HER2-low subtype. NPJ Breast Cancer. 2025; 11: 19. doi: 10.1038/s41523-025-00723-0
25. McQuerry JA, Jenkins DF, Yost SE, Zhang Y, Schmolze D, Johnson WE, et al. Pathway activity profiling of growth factor receptor network and stemness path- ways differentiates metaplastic breast cancer histological subtypes. BMC Cancer. 2019; 19: 881. doi: 10.1186/s12885-019-6052-z
26. Liang Z, Wang X, Dong K, Li X, Qin C, Zhou H. Expression pattern and prognostic value of EPHA/EFNA in breast cancer by bioinformatics analysis: revealing its importance in chemotherapy. BioMed Research International. 2021; 2021: 5575704. doi: 10.1155/2021/5575704
27. Nikas I, Giaginis C, Petrouska K, Alexandrou P, Michail A, Sarantis P, et al. EPHA2, EPHA4, and EPHA7 expression in triple-negative breast cancer. Diagnostics. 2022; 12(2): 366. doi: 10.3390/diagnostics12020366
28. Ueo H, Sugimachi K, Gorges TM, Bartkowiak K, Yokobori T, Müller V, et al. Circulating tumour cell-derived plastin3 is a novel marker for predicting long-term prognosis in patients with breast cancer. Br. J. Cancer. 2015; 112: 1519-1526. doi: 10.1038/bjc.2015.132
29. Nelczyk AT, Ma L, Das Gupta A, Gamage HEV, McHenry MT, Henn MA, et al. The nuclear receptor TLX (NR2E1) inhibits growth and progression of triple-negative breast cancer. Biochimica et Biophysica Acta (BBA) – Molecular Basis of Disease. 2022; 1868(11): 166515. doi: 10.1016/j.bbadis.2022.166515
30. Xu X, Xie X. Transmembrane protein TMEM98 as a multifunctional regulator in cancer: from signaling pathways to translational implications. J. Transl. Med. 2025; 23: 1021. doi: 10.1186/s12967-025-06998-y
31. Herrera-Quiterio GA, Encarnación-Guevara S. The transmembrane proteins (TMEM) and their role in cell proliferation, migration, invasion, and epithelial-mesenchymal transition in cancer. Front Oncol. 2023; 13: 1244740. doi: 10.3389/fonc.2023.1244740
32. Cava C, Armaos A, Lang B, Tartaglia GG, Castiglioni I. Identification of long non-coding RNAs and RNA binding proteins in breast cancer subtypes. Sci Rep. 2022; 12(1): 693. doi: 10.1038/s41598-021-04664-z
33. Wang M, Wei Z, Kong J, Zhao H. Comprehensive evaluation of the relationship between biomarker profiles and neoadjuvant chemotherapy outcomes for breast cancer patients. Diagn Pathol. 2024; 19(1): 53. doi: 10.1186/s13000-024-01451-y
Review
For citations:
Ibragimova M.K., Kravtsova E.A., Tsyganov M.M., Shagabudinova A.K., Gaptulbarova K.A., Vostrikova M.A., Garbukov E.Yu., Litviakov N.V. Gene expression markers predicting hematogenous metastasis for HER2-negative breast cancer treatment with taxane-containing neoadjuvant chemotherapy. Acta Biomedica Scientifica. 2026;11(2):137-149. (In Russ.) https://doi.org/10.29413/ABS.2026-11.2.14
JATS XML

.png)






























