Genomics

Dataset Information

0

5b85420b-44cf-4d0a-9fa8-4930e698bc25 - samples


ABSTRACT: Deep WGS (germline and 2-5 tumour regions) was performed on 20 patients: 13 lung adenocarcinoma, 5 squamous cell carcinoma, 2 small-cell lung cancers. A total of 68 BAM files are provided, where tumours were sequenced to 60x or 150x depth.

PROVIDER: EGAD00001005287 | EGA |

REPOSITORIES: EGA

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Publications

Deep multi-region whole-genome sequencing reveals heterogeneity and gene-by-environment interactions in treatment-naive, metastatic lung cancer.

Leong Tracy L TL   Gayevskiy Velimir V   Steinfort Daniel P DP   De Massy Marc R MR   Gonzalez-Rajal Alvaro A   Marini Kieren D KD   Stone Emily E   Chin Venessa V   Havryk Adrian A   Plit Marshall M   Irving Louis B LB   Jennings Barton R BR   McCloy Rachael A RA   Jayasekara W Samantha N WSN   Alamgeer Muhammad M   Boolell Vishal V   Field Andrew A   Russell Prudence A PA   Kumar Beena B   Gough Daniel J DJ   Gough Daniel J DJ   Szczepny Anette A   Ganju Vinod V   Rossello Fernando J FJ   Cain Jason E JE   Papenfuss Anthony T AT   Asselin-Labat Marie-Liesse ML   Cowley Mark J MJ   Watkins D Neil DN  

Oncogene 20181022 10


Our understanding of genomic heterogeneity in lung cancer is largely based on the analysis of early-stage surgical specimens. Here we used endoscopic sampling of paired primary and intrathoracic metastatic tumors from 11 lung cancer patients to map genomic heterogeneity inoperable lung cancer with deep whole-genome sequencing. Intra-patient heterogeneity in driver or targetable mutations was predominantly in the form of copy number gain. Private mutation signatures, including patterns consistent  ...[more]

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