Literature DB >> 32894832

Predictors of Response and Survival Outcomes of Triple Negative Breast Cancer Receiving Neoadjuvant Chemotherapy.

Meizhen Zhu1,2, Yang Yu2, Xiying Shao3, Liang Zhu4, Linbo Wang5.   

Abstract

BACKGROUND: In triple negative breast cancer (TNBC) patients receiving neoadjuvant chemotherapy (NACT), pre-treatment predictors for pathological complete response (pCR) have been reported; however, those for progressive disease (PD) remain unidentified.
METHODS: We investigated pre-treatment clinicopathological predictors associated with pCR and PD by retrospectively reviewing data for 165 patients treated between 2015 and 2018. Patients with pCR and PD were compared to those without pCR and PD, respectively, using logistic regression and Kaplan-Meier methods.
RESULTS: Lack of androgen receptor (AR) was an independent predictor of pCR, while high histological grade, low Ki-67 index, and incomplete NACT courses were independent predictors of PD. Mean disease-free survival and overall survival were significantly poorer in PD patients than in pCR patients (15.7, 21.3 vs. 52.4, 56.3 months).
CONCLUSIONS: Insights into the chemo-resistance mechanisms and exploration of novel targeted agents in subgroups as per AR and Ki-67 status are needed to improve survival outcomes in TNBC patients.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Androgen receptor; Biomarkers; Neoadjuvant therapy; Survival; Triple negative breast cancer

Mesh:

Year:  2020        PMID: 32894832     DOI: 10.1159/000509638

Source DB:  PubMed          Journal:  Chemotherapy        ISSN: 0009-3157            Impact factor:   2.544


  3 in total

1.  Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant chemotherapy for triple-negative breast cancer.

Authors:  Yanbo Li; Yongzi Chen; Rui Zhao; Yu Ji; Junnan Li; Ying Zhang; Hong Lu
Journal:  Eur Radiol       Date:  2021-11-12       Impact factor: 7.034

2.  Novel biomarkers and prediction model for the pathological complete response to neoadjuvant treatment of triple-negative breast cancer.

Authors:  Yiqun Han; Jiayu Wang; Binghe Xu
Journal:  J Cancer       Date:  2021-01-01       Impact factor: 4.207

3.  A Nomogram to Predict Disease-Free Survival Following Neoadjuvant Chemotherapy for Triple Negative Breast Cancer.

Authors:  Meizhen Zhu; Chenlu Liang; Fanrong Zhang; Liang Zhu; Daobao Chen
Journal:  Front Oncol       Date:  2021-10-21       Impact factor: 6.244

  3 in total

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