Comparative Transcriptomic Analysis Identifies Predictive Biomarkers of Pathological Complete Response in Triple-negative Breast Cancer

Cancer Genomics & Proteomics 2026 Open access

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Authors: FANG-MING CHEN, Chung-Liang Li, Mei‐Ren Pan, Yun-Cian Huang, Li‐Ju Huang, Moi Sin-Hua, Shu‐Jyuan Chang, Ping-Fu Yang, Chieh‐Ni Kao, Jung‐Yu Kan, LI-KUN KO, Hidenobu Takahashi
+5 more CHIA-YU KUO, Shen‐Liang Shih, MING-FENG HOU, YI-HSIUNG LIN, Chi‐Wen Luo
DOI: 10.21873/cgp.20561
Cited by: 0

Abstract

Abstract Background/Aim: Pathologic complete response (pCR) to neoadjuvant chemotherapy (NACT) is a strong prognostic indicator in triple-negative breast cancer (TNBC). However, reliable predictive biomarkers for pCR remain limited. This study aimed to identify gene expression signatures associated with pCR in TNBC to facilitate more precise treatment stratification. Materials and Methods: Tumor samples from 16 TNBC patients treated with NAC at the Kaohsiung Medical University Hospital (KMUH) were analyzed, including 5 pCR and 11 non-pCR cases. RNA sequencing (RNA-seq) was performed, and differentially expressed genes (DEGs) were identified using DESeq2 (|log2FC| ≥2, adjusted p

Fields of Study & Subjects

Breast Cancer Treatment Studies HER2/EGFR in Cancer Research PARP inhibition in cancer therapy

Publication details

Journal / source
Cancer Genomics & Proteomics
Volume
23
Issue
1
Pages
66–80
Publication date
1 January 2026
Language
EN