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March 13, 2026International Journal of Molecular Sciences0 citationsOpen Access

Gene Expression Profiles Associated with Molecular Subtypes and Pathological Response to Neoadjuvant Treatment in Surgical Breast Cancer

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SBSonia BauliesMMMiguel Angel Molina-VilaFTF. Tresserra

Key Points

  • The aim is to evaluate gene expression profiles related to molecular subtypes and their association with treatment response in breast cancer.
  • Analyzed mRNA expression of 13 candidate genes using quantitative RT-PCR in pretreatment biopsies.
  • Determined molecular subtypes via immunohistochemistry for ER, PR, HER2, and Ki67.
  • Classified pathological response using the Miller–Payne scale with multivariate logistic regression for data analysis.
  • Hormone receptor-positive tumors showed significantly higher expression of AXL, FGFR1, RAP80, GAS6, BTRCP, and ZNF217.
  • AXL, FGFR1, YAP, and BRCA1 were significantly associated with pathological complete response (pCR).
  • Low levels of AXL and BRCA1 expression were independently linked to pCR, with combined low expression showing the strongest association.

Abstract

Chemotherapy has significantly improved survival in breast cancer and, in the neoadjuvant setting, contributes to tumor downstaging and increased rates of breast-conserving surgery while enabling in vivo assessment of tumor biology and chemosensitivity. Pathological complete response (pCR) is a key endpoint associated with favorable outcomes; however, tumor heterogeneity highlights the need for reliable predictive biomarkers. This study evaluated the mRNA expression of 13 candidate genes in relation to molecular subtypes and pathological response to neoadjuvant chemotherapy (NAC) to identify potential predictive and prognostic markers. Pretreatment core biopsies from 92 patients receiving NAC were analyzed by quantitative RT-PCR. Molecular subtypes were determined by immunohistochemistry (ER, PR, HER2, Ki67), and pathological response was classified using the Miller–Payne scale as good (MP 4/5) or poor (MP 1–3). Multivariate logistic regression assessed associations between gene expression, subtype, and pCR. Hormone receptor-positive tumors showed significantly higher expression of AXL, FGFR1, RAP80, GAS6, BTRCP, and ZNF217. Significant associations with pCR were observed for AXL, FGFR1, YAP, and BRCA1. Low AXL and BRCA1 expression levels were independently associated with pCR. In addition, their combined low expression was associated most strongly with breast pCR in this cohort. These findings should be interpreted as exploratory and require validation in independent cohorts.

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Cite This Study

Baulies et al. (2026) studied this question.

synapsesocial.com/papers/69b3ac9002a1e69014cce659https://doi.org/10.3390/ijms27062564
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Also Consider

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