<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Campbell BB</submitter><funding>the CIHR Joint Canada-Israel Health</funding><funding>Frank Fletcher Memorial Fund</funding><funding>NIEHS NIH HHS</funding><funding>McLaughlin Centre</funding><funding>Meagan’s Walk</funding><funding>SickKids</funding><funding>University of Toronto</funding><funding>CIHR</funding><funding>Stand Up to Cancer (SU2C) – Bristol-Myers Squibb Catalyst Research</funding><funding>Government of Ontario</funding><funding>NCI NIH HHS</funding><funding>Research Program</funding><funding>Garron Family Cancer Centre</funding><funding>SU2C – St. Baldrick’s Pediatric Dream Team Translational Research Grant</funding><funding>SickKids Foundation</funding><pagination>1042-1056.e10</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5849393</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>171(5)</volume><pubmed_abstract>We present an extensive assessment of mutation burden through sequencing analysis of >81,000 tumors from pediatric and adult patients, including tumors with hypermutation caused by chemotherapy, carcinogens, or germline alterations. Hypermutation was detected in tumor types not previously associated with high mutation burden. Replication repair deficiency was a major contributing factor. We uncovered new driver mutations in the replication-repair-associated DNA polymerases and a distinct impact of microsatellite instability and replication repair deficiency on the scale of mutation load. Unbiased clustering, based on mutational context, revealed clinically relevant subgroups regardless of the tumors' tissue of origin, highlighting similarities in evolutionary dynamics leading to hypermutat</pubmed_abstract><journal>Cell</journal><pubmed_title>Comprehensive Analysis of Hypermutation in Human Cancer.</pubmed_title><pmcid>PMC5849393</pmcid><funding_grant_id>SU2C-AACR-CT-07-17</funding_grant_id><funding_grant_id>P50 CA097257</funding_grant_id><funding_grant_id>MOP – 137899</funding_grant_id><funding_grant_id>R00 ES016780</funding_grant_id><funding_grant_id>MW-2014-10</funding_grant_id><funding_grant_id>SU2C-AACR-DT1113</funding_grant_id><funding_grant_id>R56 ES026821</funding_grant_id><funding_grant_id>P01 CA118816</funding_grant_id><funding_grant_id>R01 ES028271</funding_grant_id><pubmed_authors>Issai VM</pubmed_authors><pubmed_authors>Maris JM</pubmed_authors><pubmed_authors>Bowers DC</pubmed_authors><pubmed_authors>Elhasid R</pubmed_authors><pubmed_authors>Zatzman M</pubmed_authors><pubmed_authors>Hodel KP</pubmed_authors><pubmed_authors>Ziegler DS</pubmed_authors><pubmed_authors>Wimmer K</pubmed_authors><pubmed_authors>Fuligni F</pubmed_authors><pubmed_authors>Constantini S</pubmed_authors><pubmed_authors>Galati MA</pubmed_authors><pubmed_authors>Thomas GA</pubmed_authors><pubmed_authors>Cole KA</pubmed_authors><pubmed_authors>Costello JF</pubmed_authors><pubmed_authors>Huang A</pubmed_authors><pubmed_authors>Storm PB</pubmed_authors><pubmed_authors>Taylor MD</pubmed_authors><pubmed_authors>Zahurancik WJ</pubmed_authors><pubmed_authors>Grimmer MR</pubmed_authors><pubmed_authors>Yalon M</pubmed_authors><pubmed_authors>Davidson S</pubmed_authors><pubmed_authors>Bouffet E</pubmed_authors><pubmed_authors>Hawkins C</pubmed_authors><pubmed_authors>Edwards M</pubmed_authors><pubmed_authors>Meyn MS</pubmed_authors><pubmed_authors>Johanns TM</pubmed_authors><pubmed_authors>Toledano H</pubmed_authors><pubmed_authors>Larouche V</pubmed_authors><pubmed_authors>Irwin MS</pubmed_authors><pubmed_authors>Dunn GP</pubmed_authors><pubmed_authors>de Borja R</pubmed_authors><pubmed_authors>Pursell ZF</pubmed_authors><pubmed_authors>Light N</pubmed_authors><pubmed_authors>George B</pubmed_authors><pubmed_authors>Dirks P</pubmed_authors><pubmed_authors>Campbell BB</pubmed_authors><pubmed_authors>Laetsch TW</pubmed_authors><pubmed_authors>Elvin JA</pubmed_authors><pubmed_authors>Opocher E</pubmed_authors><pubmed_authors>Mason G</pubmed_authors><pubmed_authors>Osborn M</pubmed_authors><pubmed_authors>Ramaswamy V</pubmed_authors><pubmed_authors>Durno C</pubmed_authors><pubmed_authors>Kratz CP</pubmed_authors><pubmed_authors>Rechavi G</pubmed_authors><pubmed_authors>Stearns D</pubmed_authors><pubmed_authors>Smirnov IV</pubmed_authors><pubmed_authors>Raman P</pubmed_authors><pubmed_authors>Malkin D</pubmed_authors><pubmed_authors>Tabori U</pubmed_authors><pubmed_authors>Bronsema A</pubmed_authors><pubmed_authors>Chung J</pubmed_authors><pubmed_authors>Suo Z</pubmed_authors><pubmed_authors>Lipman T</pubmed_authors><pubmed_authors>Shlien A</pubmed_authors><pubmed_authors>Dvir R</pubmed_authors><pubmed_authors>Fabrizio D</pubmed_authors><pubmed_authors>Sabel M</pubmed_authors><pubmed_authors>Aronson M</pubmed_authors><pubmed_authors>Lindhorst S</pubmed_authors><pubmed_authors>Farah R</pubmed_authors><pubmed_authors>Samuel D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comprehensive Analysis of Hypermutation in Human Cancer.</name><description>We present an extensive assessment of mutation burden through sequencing analysis of >81,000 tumors from pediatric and adult patients, including tumors with hypermutation caused by chemotherapy, carcinogens, or germline alterations. Hypermutation was detected in tumor types not previously associated with high mutation burden. Replication repair deficiency was a major contributing factor. We uncovered new driver mutations in the replication-repair-associated DNA polymerases and a distinct impact of microsatellite instability and replication repair deficiency on the scale of mutation load. Unbiased clustering, based on mutational context, revealed clinically relevant subgroups regardless of the tumors' tissue of origin, highlighting similarities in evolutionary dynamics leading to hypermutat</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Nov</publication><modification>2026-04-07T20:43:39.695Z</modification><creation>2019-03-26T23:37:33Z</creation></dates><accession>S-EPMC5849393</accession><cross_references><pubmed>29056344</pubmed><doi>10.1016/j.cell.2017.09.048</doi></cross_references></HashMap>