Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83501
Title: Transposon insertional mutagenesis in mice identifies human breast cancer susceptibility genes and signatures for stratification
Authors: Chen, Liming
Jenjaroenpun, Piroon
Pillai, Andrea Mun Ching
Ivshina, Anna V.
Ow, Ghim Siong
Efthimios, Motakis
Tang, Zhiqun
Tan, Tuan Zea
Lee, Song-Choon
Rogers, Keith
Ward, Jerrold M.
Mori, Seiichi
Adams, David J.
Jenkins, Nancy A.
Copeland, Neal G.
Ban, Kenneth Hon-Kim
Kuznetsov, Vladimir Andreevich
Thiery, Jean Paul
Keywords: Breast cancer
Cancer susceptibility
Issue Date: 2017
Source: Chen, L., Jenjaroenpun, P., Pillai, A. M. C., Ivshina, A. V., Ow, G. S., Efthimios, M., et al. (2017). Transposon insertional mutagenesis in mice identifies human breast cancer susceptibility genes and signatures for stratification. Proceedings of the National Academy of Sciences, 114(11), E2215-E2224.
Series/Report no.: Proceedings of the National Academy of Sciences of the United States of America
Abstract: Robust prognostic gene signatures and therapeutic targets are difficult to derive from expression profiling because of the significant heterogeneity within breast cancer (BC) subtypes. Here, we performed forward genetic screening in mice using Sleeping Beauty transposon mutagenesis to identify candidate BC driver genes in an unbiased manner, using a stabilized N-terminal truncated β-catenin gene as a sensitizer. We identified 134 mouse susceptibility genes from 129 common insertion sites within 34 mammary tumors. Of these, 126 genes were orthologous to protein-coding genes in the human genome (hereafter, human BC susceptibility genes, hBCSGs), 70% of which are previously reported cancer-associated genes, and ∼16% are known BC suppressor genes. Network analysis revealed a gene hub consisting of E1A binding protein P300 (EP300), CD44 molecule (CD44), neurofibromin (NF1) and phosphatase and tensin homolog (PTEN), which are linked to a significant number of mutated hBCSGs. From our survival prediction analysis of the expression of human BC genes in 2,333 BC cases, we isolated a six-gene-pair classifier that stratifies BC patients with high confidence into prognostically distinct low-, moderate-, and high-risk subgroups. Furthermore, we proposed prognostic classifiers identifying three basal and three claudin-low tumor subgroups. Intriguingly, our hBCSGs are mostly unrelated to cell cycle/mitosis genes and are distinct from the prognostic signatures currently used for stratifying BC patients. Our findings illustrate the strength and validity of integrating functional mutagenesis screens in mice with human cancer transcriptomic data to identify highly prognostic BC subtyping biomarkers.
URI: https://hdl.handle.net/10356/83501
http://hdl.handle.net/10220/42595
ISSN: 1091-6490
DOI: 10.1073/pnas.1701512114
Schools: School of Computer Science and Engineering 
Rights: © 2017 The Author(s) (Published by National Academy of Sciences).
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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