Literature DB >> 28890185

Stromal Clusterin Expression Predicts Therapeutic Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer.

Yihong Wang1, Alexander S Brodsky2, Jinjun Xiong3, Mary L Lopresti4, Dongfang Yang2, Murray B Resnick2.   

Abstract

BACKGROUND: Expression of clusterin correlates with tumor progression and therapeutic response in several human malignancies, including breast cancer. However, its predictive value in the neoadjuvant setting in breast cancer remains unexplored. The objective of this explorative study was to determine whether clusterin expression in breast cancer correlated with clinical pathologic characteristics and whether its expression was predictive of response to neoadjuvant chemotherapy (NAC).
MATERIALS AND METHODS: We determined the clusterin expression pattern in 72 triple negative breast cancers (TNBC) treated with NAC before surgery. Clusterin expression was evaluated by immunohistochemistry and was correlated with pathologic characteristics and response to NAC using residual cancer burden score.
RESULTS: Immunohistochemistry analysis revealed a differential pattern of expression between tumor and stroma. Clusterin expression in the tumor associated stroma as opposed to expression by the neoplastic epithelium was significantly associated with neoadjuvant-treated TNBC. Low stromal clusterin, low stromal content, and high tumor-infiltrating lymphocytes were associated with a significantly greater likelihood of achieving a good pathologic response as reflected by lower residual cancer burden scores (P = .002, P = .003, and P = .001, respectively). Tumor and/or stromal clusterin expression were not associated with patient age, tumor histologic grade, stage, and lymph node status. CONCULSION: This study suggests a potential role for the assessment of stromal clusterin as a predictive biomarker for response of TNBC to neoadjuvant therapy. Further validation of this biomarker in a large study is needed.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; Immunohistochemistry; Stroma; Tumor infiltrating lymphocytes; Tumor microenvironment

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Year:  2017        PMID: 28890185     DOI: 10.1016/j.clbc.2017.08.007

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  3 in total

1.  Bone marrow-derived fibroblasts are a functionally distinct stromal cell population in breast cancer.

Authors:  Yael Raz; Noam Cohen; Ophir Shani; Rachel E Bell; Sergey V Novitskiy; Lilach Abramovitz; Carmit Levy; Michael Milyavsky; Leonor Leider-Trejo; Harold L Moses; Dan Grisaru; Neta Erez
Journal:  J Exp Med       Date:  2018-11-23       Impact factor: 14.307

2.  An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Breast Cancer.

Authors:  Jing Yuan; Fangfang Duan; Wenyu Zhai; Chenge Song; Li Wang; Wen Xia; Xin Hua; Zhongyu Yuan; Xiwen Bi; Jiajia Huang
Journal:  Int J Womens Health       Date:  2021-11-03

3.  Gene signature-based prediction of triple-negative breast cancer patient response to Neoadjuvant chemotherapy.

Authors:  Yanding Zhao; Evelien Schaafsma; Chao Cheng
Journal:  Cancer Med       Date:  2020-07-21       Impact factor: 4.452

  3 in total

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