A 10-miRNA risk score-based prediction model for pathological complete response to neoadjuvant chemotherapy in hormone receptor-positive breast cancer

Chang Gong, Ziliang Cheng, Yaping Yang, Jun Shen, Yingying Zhu, Li Ling, Wanyi Lin, Zhigang Yu, Zhihua Li, Weige Tan, Chushan Zheng, Wenbo Zheng, Jiajie Zhong, Xiang Zhang, Yunjie Zeng, Qiang Liu, R. Stephanie Huang, Andrzej L. Komorowski, Eddy S. Yang, François BertucciFrancesco Ricci, Armando Orlandi, Gianluca Franceschini, Kazuaki Takabe, Suzanne Klimberg, Naohiro Ishii, Angela Toss, Mona P. Tan, Mathew A. Cherian, Erwei Song

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Patients with hormone receptor (HR)-positive tumors breast cancer usually experience a relatively low pathological complete response (pCR) to neoadjuvant chemotherapy (NAC). Here, we derived a 10-microRNA risk score (10-miRNA RS)-based model with better performance in the prediction of pCR and validated its relation with the disease-free survival (DFS) in 755 HR-positive breast cancer patients (273, 265, and 217 in the training, internal, and external validation sets, respectively). This model, presented as a nomogram, included four parameters: the 10-miRNA RS found in our previous study, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) status, and volume transfer constant (Ktrans). Favorable calibration and discrimination of 10-miRNA RS-based model with areas under the curve (AUC) of 0.865, 0.811, and 0.804 were shown in the training, internal, and external validation sets, respectively. Patients who have higher nomogram score (>92.2) with NAC treatment would have longer DFS (hazard ratio=0.57; 95%CI: 0.39–0.83; P=0.004). In summary, our data showed the 10-miRNA RS-based model could precisely identify more patients who can attain pCR to NAC, which may help clinicians formulate the personalized initial treatment strategy and consequently achieves better clinical prognosis for patients with HR-positive breast cancer.

Original languageEnglish (US)
Pages (from-to)2205-2217
Number of pages13
JournalScience China Life Sciences
Volume65
Issue number11
DOIs
StatePublished - Nov 2022
Externally publishedYes

Keywords

  • dynamic contrast-enhanced magnetic resonance imaging
  • hormone receptor-positive breast cancer
  • microRNA signature
  • neoadjuvant chemotherapy
  • nomogram

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Environmental Science
  • General Agricultural and Biological Sciences

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