MAP2K1 (MEK1) Mutations Define a Distinct Subset of Lung Adenocarcinoma Associated with Smoking

被引:121
作者
Arcila, Maria E. [1 ]
Drilon, Alexander [2 ,3 ]
Sylvester, Brooke E. [4 ]
Lovly, Christine M. [5 ]
Borsu, Laetitia [1 ]
Reva, Boris [6 ]
Kris, Mark G. [3 ]
Solit, David B. [4 ]
Ladanyi, Marc [1 ,4 ]
机构
[1] Mem Sloan Kettering Canc Ctr, Dept Pathol, New York, NY 10065 USA
[2] Mem Sloan Kettering Canc Ctr, Dept Med, Thorac Oncol Serv, New York, NY 10065 USA
[3] Weill Cornell Med Coll, New York, NY USA
[4] Mem Sloan Kettering Canc Ctr, Human Oncol & Pathogenesis Program, New York, NY 10065 USA
[5] Vanderbilt Univ, Sch Med, Vanderbilt Ingram Canc Ctr, Dept Med,Div Hematol Oncol, Nashville, TN 37212 USA
[6] Mem Sloan Kettering Canc Ctr, Computat Biol Ctr, New York, NY 10065 USA
关键词
KINASE KINASE; DRIVER MUTATIONS; TARGETED THERAPY; CANCER GENOMICS; KRAS MUTATIONS; BRAF MUTATIONS; TOBACCO-SMOKE; PLATFORM; TRANSFORMATION; SPECTRUM;
D O I
10.1158/1078-0432.CCR-14-2124
中图分类号
R73 [肿瘤学];
学科分类号
100214 [肿瘤学];
摘要
Purpose: Genetic alterations affecting the MAPK/ERK pathway are common in lung adenocarcinoma (LAD). Early steps of the signaling pathway are most often affected with EGFR, KRAS, and BRAF mutations encompassing more than 70% of all alterations. Somatic mutations in MEK1, located downstream of BRAF, are rare and remain poorly defined as a distinct molecular subset. Experimental Design: Tumors harboring MEK1 mutations were identified through targeted screening of a large LAD cohort concurrently interrogated for recurrent mutations in MEK1, EGFR, KRAS, BRAF, ERBB2/HER2, NRAS, PIK3CA, and AKT. Additional cases were identified through a search of publically available cancer genomic datasets. Mutations were correlated with patient characteristics and treatment outcomes. Overall survival was compared with stage-matched patients with KRAS-and EGFR-mutant LADs. Results: We identified 36 MEK1-mutated cases among 6,024 LAD (0.6%; 95% confidence interval, 0.42-0.85). The majority of patients were smokers (97%, n = 35/36). There was no association with age, sex, race, or stage. The most common mutations were K57N (64%, 23/36) followed by Q56P (19%, 7/36), all mutually exclusive with other driver mutations in the targeted panel. Transversions G: C>T: A were predominant (89%, 31/35), in keeping with smoking-associated DNA damage. Additional less common somatic mutations were identified in the kinase domain, all of which are predicted to converge into a single interaction area based on in silico 3D modeling. Conclusions: MEK1 mutations define a distinct subset of lung cancers (similar to 1%) with potential sensitivity to MEK inhibitors. Mutations are predominantly transversions, in keeping with a strong association with smoking. (C)2014 AACR.
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收藏
页码:1935 / 1943
页数:9
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