@article{205d274aac6847749194546c7472e139,
title = "A-to-I RNA Editing Contributes to Proteomic Diversity in Cancer",
abstract = "Adenosine (A) to inosine (I) RNA editing introduces many nucleotide changes in cancer transcriptomes. However, due to the complexity of post-transcriptional regulation, the contribution of RNA editing to proteomic diversity in human cancers remains unclear. Here, we performed an integrated analysis of TCGA genomic data and CPTAC proteomic data. Despite limited site diversity, we demonstrate that A-to-I RNA editing contributes to proteomic diversity in breast cancer through changes in amino acid sequences. We validate the presence of editing events at both RNA and protein levels. The edited COPA protein increases proliferation, migration, and invasion of cancer cells in vitro. Our study suggests an important contribution of A-to-I RNA editing to protein diversity in cancer and highlights its translational potential. By an integrated analysis of TCGA genomic data and CPTAC proteomic data, Peng et al. show that A-to-I RNA editing contributes to proteomic diversity in breast cancer through changes in amino acid sequences. The edited COPA protein increases proliferation, migration, and invasion of cancer cells in vitro.",
keywords = "ADAR enzyme, CPTAC, RNA editing, RNA-seq, TCGA, amino acid changes, biomarker, cancer drivers, mass spectrometry data, somatic mutations",
author = "Xinxin Peng and Xiaoyan Xu and Yumeng Wang and Hawke, {David H.} and Shuangxing Yu and Leng Han and Zhicheng Zhou and Kamalika Mojumdar and Jeong, {Kang Jin} and Marilyne Labrie and Tsang, {Yiu Huen} and Minying Zhang and Yiling Lu and Patrick Hwu and Scott, {Kenneth L.} and Han Liang and Mills, {Gordon B.}",
note = "Funding Information: This study was supported by the NIH (CA168394, CA098258, and CA143883 to G.B.M., CA175486 to H.L., CA209851 to H.L. and G.B.M., and CCSG grant CA016672); grants from the Cancer Prevention and Research Institute of Texas (RP140462 to H.L.; RR150085 to L.H.); a University of Texas System STARS award (to H.L.); the Lorraine Dell Program in Bioinformatics for Personalization of Cancer Medicine; Natural Scientific Foundation of China (no. 81572777 to X.X.); the Adelson Medical Research Foundation (to G.B.M.). The UT MD Anderson Proteomics and Metabolomics Facility would like to thank the MD Anderson Cancer Center, NIH High-End Instrumentation program grant 1S10OD012304-01, and CPRIT Core Facility Grant RP130397 for generous support. We thank the MD Anderson high-performance computing core facility for computing, and LeeAnn Chastain for editorial assistance. Funding Information: This study was supported by the NIH ( CA168394 , CA098258 , and CA143883 to G.B.M., CA175486 to H.L., CA209851 to H.L. and G.B.M., and CCSG grant CA016672 ); grants from the Cancer Prevention and Research Institute of Texas ( RP140462 to H.L.; RR150085 to L.H.); a University of Texas System STARS award (to H.L.); the Lorraine Dell Program in Bioinformatics for Personalization of Cancer Medicine ; Natural Scientific Foundation of China (no. 81572777 to X.X.); the Adelson Medical Research Foundation (to G.B.M.). The UT MD Anderson Proteomics and Metabolomics Facility would like to thank the MD Anderson Cancer Center , NIH High-End Instrumentation program grant 1S10OD012304-01 , and CPRIT Core Facility Grant RP130397 for generous support. We thank the MD Anderson high-performance computing core facility for computing, and LeeAnn Chastain for editorial assistance. Publisher Copyright: {\textcopyright} 2018 Elsevier Inc.",
year = "2018",
month = may,
day = "14",
doi = "10.1016/j.ccell.2018.03.026",
language = "English (US)",
volume = "33",
pages = "817--828.e7",
journal = "Cancer Cell",
issn = "1535-6108",
publisher = "Cell Press",
number = "5",
}