Molecular Subtyping of Triple-Negative Breast Cancers by Immunohistochemistry: Molecular Basis and Clinical Relevance

Author:

Zhao Shen12,Ma Ding12,Xiao Yi12,Li Xiao-Mei3,Ma Jian-Li4,Zhang Han5,Xu Xiao-Li6,Lv Hong6,Jiang Wen-Hua6,Yang Wen-Tao6,Jiang Yi-Zhou12,Zhang Qing-Yuan5,Shao Zhi-Ming12

Affiliation:

1. Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China

2. Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China

3. Department of Pathology, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China

4. Department of Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China

5. Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China

6. Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China

Abstract

Abstract Background Molecular subtyping of triple-negative breast cancers (TNBCs) via gene expression profiling is essential for understanding the molecular essence of this heterogeneous disease and for guiding individualized treatment. We aim to devise a clinically practical method based on immunohistochemistry (IHC) for the molecular subtyping of TNBCs. Materials and Methods By analyzing the RNA sequencing data on TNBCs from Fudan University Shanghai Cancer Center (FUSCC) (n = 360) and The Cancer Genome Atlas data set (n = 158), we determined markers that can identify specific molecular subtypes. We performed immunohistochemical staining on tumor sections of 210 TNBCs from FUSCC, established an IHC-based classifier, and applied it to another two cohorts (n = 183 and 214). Results We selected androgen receptor (AR), CD8, FOXC1, and DCLK1 as immunohistochemical markers and classified TNBCs into five subtypes based on the staining results: (a) IHC-based luminal androgen receptor (IHC-LAR; AR-positive [+]), (b) IHC-based immunomodulatory (IHC-IM; AR-negative [−], CD8+), (c) IHC-based basal-like immune-suppressed (IHC-BLIS; AR−, CD8−, FOXC1+), (d) IHC-based mesenchymal (IHC-MES; AR−, CD8−, FOXC1−, DCLK1+), and (e) IHC-based unclassifiable (AR−, CD8−, FOXC1−, DCLK1−). The κ statistic indicated substantial agreement between the IHC-based classification and mRNA-based classification. Multivariate survival analysis suggested that our IHC-based classification was an independent prognostic factor for relapse-free survival. Transcriptomic data and pathological observations implied potential treatment strategies for different subtypes. The IHC-LAR subtype showed relative activation of HER2 pathway. The IHC-IM subtype tended to exhibit an immune-inflamed phenotype characterized by the infiltration of CD8+ T cells into tumor parenchyma. The IHC-BLIS subtype showed high expression of a VEGF signature. The IHC-MES subtype displayed activation of JAK/STAT3 signaling pathway. Conclusion We developed an IHC-based approach to classify TNBCs into molecular subtypes. This IHC-based classification can provide additional information for prognostic evaluation. It allows for subgrouping of TNBC patients in clinical trials and evaluating the efficacy of targeted therapies within certain subtypes.

Funder

Training Plan of Excellent Talents of Fudan University Shanghai Cancer Center

National Natural Science Foundation of China

Shanghai Key Laboratory of Breast Cancer

Shanghai Pujiang Program

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3