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Comprehensive evaluation of coding region point mutations in microsatellite-unstable colorectal cancer

Authors :
Riku Katainen
Lauri A. Aaltonen
Xiaonan Liu
Emmanouil T. Dermitzakis
Outi Kilpivaara
Alexandra E. Gylfe
Eevi Kaasinen
Minna Taipale
Esa Pitkänen
Jussi Taipale
Kristian Ovaska
Sari Tuupanen
Lilli Saarinen
Halit Ongen
Heikki Ristolainen
Pia Vahteristo
Kimmo Palin
Laura Renkonen-Sinisalo
Selja Koskensalo
Ulrika A. Hänninen
Jan Böhm
Anna Lepistö
Jiri Hamberg
Johanna Kondelin
Heli Rauanheimo
Jukka-Pekka Mecklin
Niko Välimäki
Mikko P. Turunen
Tomas Tanskanen
Sampsa Hautaniemi
Kari Salokas
Auli Karhu
Roosa-Maria Plaketti
Leena Yadav
Tatiana Cajuso
Markku Varjosalo
Mervi Aavikko
Lauri Antti Aaltonen / Principal Investigator
Genome-Scale Biology (GSB) Research Program
Department of Medical and Clinical Genetics
Institute of Biotechnology
Department of Surgery
Department of Biochemistry and Developmental Biology
Sampsa Hautaniemi / Principal Investigator
Molecular Systems Biology
HUS Abdominal Center
Liu, Xiaonan [0000-0002-9600-0536]
Taipale, Jussi [0000-0003-4204-0951]
Pitkänen, Esa [0000-0002-9818-6370]
Aaltonen, Lauri A [0000-0001-6839-4286]
Apollo - University of Cambridge Repository
Source :
EMBO Molecular Medicine, Vol 10, Iss 9, Pp n/a-n/a (2018), EMBO Molecular Medicine, Vol. 10, No 9 (2018) P. e8552, EMBO Molecular Medicine
Publication Year :
2018

Abstract

Microsatellite instability (MSI) leads to accumulation of an excessive number of mutations in the genome, mostly small insertions and deletions. MSI colorectal cancers (CRCs), however, also contain more point mutations than microsatellite-stable (MSS) tumors, yet they have not been as comprehensively studied. To identify candidate driver genes affected by point mutations in MSI CRC, we ranked genes based on mutation significance while correcting for replication timing and gene expression utilizing an algorithm, MutSigCV. Somatic point mutation data from the exome kit-targeted area from 24 exome-sequenced sporadic MSI CRCs and respective normals, and 12 whole-genome-sequenced sporadic MSI CRCs and respective normals were utilized. The top 73 genes were validated in 93 additional MSI CRCs. The MutSigCV ranking identified several well-established MSI CRC driver genes and provided additional evidence for previously proposed CRC candidate genes as well as shortlisted genes that have to our knowledge not been linked to CRC before. Two genes, SMARCB1 and STK38L, were also functionally scrutinized, providing evidence of a tumorigenic role, for SMARCB1 mutations in particular. © 2018 The Authors. Published under the terms of the CC BY 4.0 license

Details

Language :
English
ISSN :
17574676
Database :
OpenAIRE
Journal :
EMBO Molecular Medicine, Vol 10, Iss 9, Pp n/a-n/a (2018), EMBO Molecular Medicine, Vol. 10, No 9 (2018) P. e8552, EMBO Molecular Medicine
Accession number :
edsair.doi.dedup.....953f75f6fbc45f190b7b1acf46bc547e