Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients
File(s)
Author(s)
Type
Journal Article
Abstract
Our comprehensive analysis of alternative splicing across 32 The Cancer Genome Atlas cancer types from 8,705 patients detects alternative splicing events and tumor variants by reanalyzing RNA and whole-exome sequencing data. Tumors have up to 30% more alternative splicing events than normal samples. Association analysis of somatic variants with alternative splicing events confirmed known trans associations with variants in SF3B1 and U2AF1 and identified additional trans-acting variants (e.g., TADA1, PPP2R1A). Many tumors have thousands of alternative splicing events not detectable in normal samples; on average, we identified ≈930 exon-exon junctions (“neojunctions”) in tumors not typically found in GTEx normals. From Clinical Proteomic Tumor Analysis Consortium data available for breast and ovarian tumor samples, we confirmed ≈1.7 neojunction- and ≈0.6 single nucleotide variant-derived peptides per tumor sample that are also predicted major histocompatibility complex-I binders (“putative neoantigens”).
Date Issued
2018-08-13
Date Acceptance
2018-07-02
Citation
Cancer Cell, 2018, 34 (2), pp.211-224
ISSN
1535-6108
Publisher
Elsevier (Cell Press)
Start Page
211
End Page
224
Journal / Book Title
Cancer Cell
Volume
34
Issue
2
Copyright Statement
© 2018 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Sponsor
SAIC-F-Frederick, Inc
Leidos Biomedical Research, Inc.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000441424600006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
TCGA Pilot Program
15Y011ST
Subjects
Science & Technology
Life Sciences & Biomedicine
Oncology
Cell Biology
BREAST-CANCER
COWDEN-SYNDROME
SOMATIC MUTATIONS
MASS-SPECTROMETRY
MET INHIBITORS
OVARIAN-CANCER
IDENTIFICATION
PTEN
VARIANTS
REVEALS
Publication Status
Published
Date Publish Online
2018-08-02