MMR Deficiency Defines Distinct Molecular Subtype of Breast Cancer with Histone Proteomic Networks

Author:

Hacking Sean12,Chou Charissa13ORCID,Baykara Yigit12ORCID,Wang Yihong12ORCID,Uzun Alper456ORCID,Gamsiz Uzun Ece D.126

Affiliation:

1. Department of Pathology and Laboratory Medicine, Rhode Island Hospital, Providence, RI 02903, USA

2. Department of Pathology and Laboratory Medicine, Warren Alpert Medical School of Brown University, Providence, RI 02903, USA

3. Department of Biology, Brown University, Providence, RI 02912, USA

4. Legorreta Cancer Center, Brown University, Providence, RI 02912, USA

5. Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI 02903, USA

6. Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA

Abstract

Mismatch repair (MMR) alterations are important prognostic and predictive biomarkers in a variety of cancer subtypes, including colorectal and endometrial. However, in breast cancer (BC), the distinction and clinical significance of MMR are largely unknown. This may be due in part to the fact that genetic alterations in MMR genes are rare and only seen to occur in around 3% of BCs. In the present study, we analyzed TCGA data using a multi-sample protein–protein interaction (PPI) analysis tool, Proteinarium, and showed a distinct separation between specific MMR-deficient and -intact networks in a cohort of 994 BC patients. In the PPI networks specific to MMR deficiency, highly connected clusters of histone genes were identified. We also found the distribution of MMR-deficient BC to be more prevalent in HER2-enriched and triple-negative (TN) BC subtypes compared to luminal BCs. We recommend defining MMR-deficient BC by next-generation sequencing (NGS) when any somatic mutation is detected in one of the seven MMR genes.

Funder

Brown University SPRINT

rown University Legorreta Cancer Center and Rhode Island Foundation

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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