Systematic name M14019
Brief description The lung adenocarcinoma TSP (tumor sequencing project) genes bearing recurrent somatic mutations.
Full description or abstract Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers--including NF1, APC, RB1 and ATM--and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment.
Collection C2: Curated
      CGP: Chemical and Genetic Perturbations
Source publication Pubmed 18948947   Authors: Ding L,Getz G,Wheeler DA,Mardis ER,McLellan MD,Cibulskis K,Sougnez C,Greulich H,Muzny DM,Morgan MB,Fulton L,Fulton RS,Zhang Q,Wendl MC,Lawrence MS,Larson DE,Chen K,Dooling DJ,Sabo A,Hawes AC,Shen H,Jhangiani SN,Lewis LR,Hall O,Zhu Y,Mathew T,Ren Y,Yao J,Scherer SE,Clerc K,Metcalf GA,Ng B,Milosavljevic A,Gonzalez-Garay ML,Osborne JR,Meyer R,Shi X,Tang Y,Koboldt DC,Lin L,Abbott R,Miner TL,Pohl C,Fewell G,Haipek C,Schmidt H,Dunford-Shore BH,Kraja A,Crosby SD,Sawyer CS,Vickery T,Sander S,Robinson J,Winckler W,Baldwin J,Chirieac LR,Dutt A,Fennell T,Hanna M,Johnson BE,Onofrio RC,Thomas RK,Tonon G,Weir BA,Zhao X,Ziaugra L,Zody MC,Giordano T,Orringer MB,Roth JA,Spitz MR,Wistuba II,Ozenberger B,Good PJ,Chang AC,Beer DG,Watson MA,Ladanyi M,Broderick S,Yoshizawa A,Travis WD,Pao W,Province MA,Weinstock GM,Varmus HE,Gabriel SB,Lander ES,Gibbs RA,Meyerson M,Wilson RK
Exact source Table 3bS
Related gene sets (show 4 additional gene sets from the source publication)

(show 445 gene sets from the same authors)
External links
Filtered by similarity ?
Source species Homo sapiens
Contributed by Arthur Liberzon (MSigDB Team)
Source platform or
identifier namespace
Dataset references  
Download gene set format: grp | gmt | xml | json | TSV metadata
Compute overlaps ? (show collections to investigate for overlap with this gene set)
Compendia expression profiles ? GTEx compendium
Human tissue compendium (Novartis)
Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)
Advanced query Further investigate these 6 genes
Gene families ? Categorize these 6 genes by gene family
Show members (show 7 source identifiers mapped to 6 genes)
Version history  

We need your help: Update on GSEA/MSigDB funding support

Last November we submitted a proposal to NCI's Information Technology for Cancer Research (ITCR) program for the continued funding of GSEA and MSigDB. Unfortunately, our proposal was not funded in this round, but we were encouraged to resubmit for the next one. This funding is critical for our continuing support and enhancement of the GSEA-MSigDB resource.

For our original submission many of you sent us emails of support, an important requirement for these grants. We now ask for your help again. We would greatly appreciate a short email message from you describing how the resource has been of value to your work and any concerns you may have about its continued availability.

Please send us your message of support to on or before Monday June 5, 2023.

Thanks in advance for your help and support.
The GSEA/MSigDB Team.

See MSigDB license terms here. Please note that certain gene sets have special access terms.