A genomics-based classification of human lung tumors Journal Article


Authors: The Clinical Lung Cancer Genome Project (CLCGP); Network Genomic Medicine (NGM)
Contributor: Travis, W. D.
Article Title: A genomics-based classification of human lung tumors
Abstract: We characterized genome alterations in 1255 clinically annotated lung tumors of all histological subgroups to identify genetically defined and clinically relevant subtypes. More than 55% of all cases had at least one oncogenic genome alteration potentially amenable to specific therapeutic intervention, including several personalized treatment approaches that are already in clinical evaluation. Marked differences in the patternof genomic alterations existed between and within histological subtypes, thus challenging the original histomorphological diagnosis. Immunohistochemical studies confirmed many of these reassigned subtypes. The reassignment eliminated almost all cases of large cell carcinomas, some of which had therapeutically relevant alterations. Prospective testing of our genomics-based diagnostic algorithm in 5145 lung cancer patients enabled a genome-based diagnosis in 3863 (75%) patients, confirmed the feasibility of rational reassignments of large cell lung cancer, and led to improvement in overall survival in patients with EGFRmutant or ALK-rearranged cancers. Thus, our findings provide support for broad implementation of genomebased diagnosis of lung cancer.
Keywords: immunohistochemistry; adult; controlled study; human tissue; aged; young adult; gene mutation; major clinical study; overall survival; single nucleotide polymorphism; erlotinib; proto oncogene; epidermal growth factor receptor; genotype; lung cancer; abelson kinase; lung tumor; tumor suppressor gene; lung small cell cancer; lung adenocarcinoma; gene rearrangement; gefitinib; genomics; carcinoid; large cell carcinoma; lung squamous cell carcinoma; platinum complex; egfr gene; tumor classification; personalized medicine; copy number variation; molecular diagnosis; crizotinib; survival prediction; alk gene; very elderly; human; male; female; priority journal; article
Journal Title: Science Translational Medicine
Volume: 5
Issue: 209
ISSN: 1946-6234
Publisher: American Association for the Advancement of Science  
Date Published: 2013-10-30
Start Page: 209ra153
Language: English
DOI: 10.1126/scitranslmed.3006802
PROVIDER: scopus
PMCID: PMC4006630
PUBMED: 24174329
DOI/URL:
Notes: Cited By (since 1996):14 -- Export Date: 12 September 2014 -- Source: Scopus
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  1. William D Travis
    743 Travis