<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><dataset_type>Ion Torrent PGM;</dataset_type><full_dataset_link>https://ega-archive.org/datasets/EGAD00001000889</full_dataset_link><sample_count>4</sample_count><description>EGA dataset EGAD00001000889</description><repository>EGA</repository><title>NSCLC targeted</title><pubmed_abstract>Spatial and temporal dissection of the genomic changes occurring during the evolution of human non-small cell lung cancer (NSCLC) may help elucidate the basis for its dismal prognosis. We sequenced 25 spatially distinct regions from seven operable NSCLCs and found evidence of branched evolution, with driver mutations arising before and after subclonal diversification. There was pronounced intratumor heterogeneity in copy number alterations, translocations, and mutations associated with APOBEC cytidine deaminase activity. Despite maintained carcinogen exposure, tumors from smokers showed a relative decrease in smoking-related mutations over time, accompanied by an increase in APOBEC-associated mutations. In tumors from former smokers, genome-doubling occurred within a smoking-signature context before subclonal diversification, which suggested that a long period of tumor latency had preceded clinical detection. The regionally separated driver mutations, coupled with the relentless and heterogeneous nature of the genome instability processes, are likely to confound treatment success in NSCLC.</pubmed_abstract><pubmed_abstract>&lt;h4>Background&lt;/h4>Analysis of somatic mutations provides insight into the mutational processes that have shaped the cancer genome, but such analysis currently requires large cohorts. We develop deconstructSigs, which allows the identification of mutational signatures within a single tumor sample.&lt;h4>Results&lt;/h4>Application of deconstructSigs identifies samples with DNA repair deficiencies and reveals distinct and dynamic mutational processes molding the cancer genome in esophageal adenocarcinoma compared to squamous cell carcinomas.&lt;h4>Conclusions&lt;/h4>deconstructSigs confers the ability to define mutational processes driven by environmental exposures, DNA repair abnormalities, and mutagenic processes in individual tumors with implications for precision cancer medicine.</pubmed_abstract><pubmed_title>DeconstructSigs: delineating mutational processes in single tumors distinguishes DNA repair deficiencies and patterns of carcinoma evolution.</pubmed_title><pubmed_title>Spatial and temporal diversity in genomic instability processes defines lung cancer evolution.</pubmed_title><pubmed_authors>Rosenthal Rachel R, McGranahan Nicholas N, Herrero Javier J, Taylor Barry S BS, Swanton Charles C</pubmed_authors><pubmed_authors>de Bruin Elza C EC, McGranahan Nicholas N, Mitter Richard R, Salm Max M, Wedge David C DC, Yates Lucy L, Jamal-Hanjani Mariam M, Shafi Seema S, Murugaesu Nirupa N, Rowan Andrew J AJ, Grönroos Eva E, Muhammad Madiha A MA, Horswell Stuart S, Gerlinger Marco M, Varela Ignacio I, Jones David D, Marshall John J, Voet Thierry T, Van Loo Peter P, Rassl Doris M DM, Rintoul Robert C RC, Janes Sam M SM, Lee Siow-Ming SM, Forster Martin M, Ahmad Tanya T, Lawrence David D, Falzon Mary M, Capitanio Arrigo A, Harkins Timothy T TT, Lee Clarence C CC, Tom Warren W, Teefe Enock E, Chen Shann-Ching SC, Begum Sharmin S, Rabinowitz Adam A, Phillimore Benjamin B, Spencer-Dene Bradley B, Stamp Gordon G, Szallasi Zoltan Z, Matthews Nik N, Stewart Aengus A, Campbell Peter P, Swanton Charles C</pubmed_authors></additional><is_claimable>false</is_claimable><name>ena-DATASET-SC-21-07-2014-10:55:39:527-89 - samples</name><description>NSCLC targeted.</description><dates><updated>2017-07-26 15:39:25</updated></dates><accession>EGAD00001000889</accession><cross_references><TAXONOMY>9606</TAXONOMY><pubmed>25301630</pubmed><pubmed>26899170</pubmed><EGA>EGAC00001000000</EGA><EGA>EGAS00001000840</EGA></cross_references></HashMap>