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ORIGINAL RESEARCH article

Front. Pharmacol.

Sec. Translational Pharmacology

Metabolomic changes associated with treatment response of neoadjuvant chemotherapy with TEC regimen in HER2-negative breast cancer

Provisionally accepted
Kun  FangKun Fang1Cuiping  WangCuiping Wang1Zhenfeng  LiZhenfeng Li1Li  WangLi Wang2Xintong  WangXintong Wang2Zhenwei  JiangZhenwei Jiang3Mengyuan  WuMengyuan Wu2Shuo  DiaoShuo Diao2Mingming  YuMingming Yu2Yang  HaiYang Hai1Sherwin  SySherwin Sy4Pan  DengPan Deng3*Qiang  MuQiang Mu1*
  • 1Qingdao Central Hospital of University of Health and Rehabilitation Sciences, Qingdao, China
  • 2Ocean University of China School of Medicine and Pharmacy, Qingdao, China
  • 3Soochow University College of Pharmaceutical Sciences, Suzhou, China
  • 4Universidade Estadual de Maringa, Maringá, Brazil

The final, formatted version of the article will be published soon.

This study aimed to explore metabolic changes over time and identify metabolites associated with treatment response in HER2-negative breast cancer patients receiving neoadjuvant chemotherapy (NAC) with the TEC regimen (docetaxel, epirubicin, cyclophosphamide). Sixty plasma samples were collected from 20 patients at baseline (T1), after 3 cycles (T2), and before surgery (T3). Pathological evaluation showed 5 patients achieved complete response (pCR), 7 partial response (pPR), and 8 stable disease (pSD). After three cycles, a greater decrease in glycochenodeoxycholate was linked to worse treatment response, while a larger reduction in LysoPC(18:1) was associated with better response. After six cycles, a greater increase in epinephrine was positively associated with treatment efficacy, while greater increases in cysteine levels were associated with poorer outcomes. Ursodeoxycholic acid showed an upward trend in pCR patients, whereas it declined in pPR and pSD patients. Ursodeoxycholic acid and cysteine demonstrated predictive value, with combined analysis of both metabolites improving predictive performance.

Keywords: TEC regimen1, breast cancer2, biomarker3, metabolomics4, Treatment response5

Received: 17 Sep 2025; Accepted: 30 Oct 2025.

Copyright: © 2025 Fang, Wang, Li, Wang, Wang, Jiang, Wu, Diao, Yu, Hai, Sy, Deng and Mu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Pan Deng, pandeng@suda.edu.cn
Qiang Mu, muqiang@qdu.edu.cn

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