# Patient-derived cell lines unveil COL1A2 as a predictor of docetaxel resistance in breast cancer

**Authors:** Yuwei Gao, Rong Wang, Xiaowei Dou, Song Chen, Wenhao Chen, Jinting Liu, Suo Zhu, Jianjun Huang, Qingjun Gao

PMC · DOI: 10.3389/fonc.2025.1737405 · Frontiers in Oncology · 2026-03-02

## TL;DR

This study identifies COL1A2 as a potential biomarker for predicting docetaxel resistance in a specific type of breast cancer, which could help guide treatment decisions.

## Contribution

The study introduces COL1A2 as a novel predictor of docetaxel resistance in HR+/HER2− breast cancer using patient-derived cell lines and functional assays.

## Key findings

- PCCLs derived from HR+/HER2− breast cancer showed varied sensitivity to taxanes like docetaxel.
- COL1A2 was significantly overexpressed in patients with docetaxel resistance and correlated with worse outcomes.
- Higher COL1A2 expression reduced docetaxel sensitivity in HR+/HER2− breast cancer cells in functional assays.

## Abstract

Breast cancer is the most common malignant tumor among women worldwide and a major cause of cancer-related mortality. Chemoresistance presents a significant challenge in breast cancer therapy and is a primary driver of tumor recurrence and metastasis. However, effective predictive strategies for chemoresistance remain limited. This study aimed to investigate the mechanisms and predictive models underlying chemotherapy resistance in HR+/HER2− breast cancer.

Patient-derived primary cancer cell lines (PCCLs) were successfully established from four patients with HR+/HER2− breast cancer (Luminal B, HER2 non-amplified) using primary cell culture techniques. The retention of the original tumors’ pathological characteristics and drug response heterogeneity was confirmed. The sensitivities of PCCLs to taxanes, including docetaxel, were evaluated. RNA sequencing followed by protein–protein interaction (PPI) network analysis was performed to identify candidate genes associated with docetaxel resistance. The expression of COL1A2 was then correlated with pathological complete response (pCR) and recurrence-free survival (RFS) in patients who received neoadjuvant chemotherapy (AC-T regimen). Functional assays were conducted to assess the impact of COL1A2 expression on docetaxel sensitivity in HR+/HER2− breast cancer cells.

PCCLs derived from HR+/HER2− breast cancer exhibited heterogeneous sensitivity to taxanes, including docetaxel. RNA sequencing and PPI network analysis identified COL1A2 as significantly overexpressed in HR+/HER2− breast cancer patients with docetaxel resistance. Elevated COL1A2 expression showed a negative correlation with pCR rates and RFS. In functional assays, higher COL1A2 expression was associated with reduced sensitivity to docetaxel in HR+/HER2− breast cancer cells. These findings were consistent with imaging assessments and postoperative pathological outcomes in patients who underwent neoadjuvant AC-T therapy.

Our findings indicate that COL1A2 is associated with reduced chemotherapy sensitivity in HR+/HER2− breast cancer and may serve as a candidate biomarker to guide neoadjuvant taxane selection. This study provides a novel theoretical basis for optimizing neoadjuvant chemotherapy regimens in patients with advanced HR+/HER2− breast cancer.

## Linked entities

- **Genes:** COL1A2 (collagen type I alpha 2 chain) [NCBI Gene 1278]
- **Chemicals:** docetaxel (PubChem CID 148124)
- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}, COL1A2 (collagen type I alpha 2 chain) [NCBI Gene 1278] {aka EDSARTH2, EDSCV, OI4}
- **Diseases:** metastasis (MESH:D009362), Luminal B (MESH:D006509), cancer (MESH:D009369), Breast cancer (MESH:D001943)
- **Chemicals:** docetaxel (MESH:D000077143), taxane (MESH:C080625), taxanes (MESH:D043823)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12989329/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12989329/full.md

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Source: https://tomesphere.com/paper/PMC12989329