TY - JOUR
T1 - Characterization of squamous cell lung cancers from Appalachian Kentucky
AU - Liu, Jinpeng
AU - Murali, Thilakam
AU - Yu, Tianxin
AU - Liu, Chunming
AU - Sivakumaran, Theru A.
AU - Moseley, Hunter N.B.
AU - Zhulin, Igor B.
AU - Weiss, Heidi L.
AU - Durbin, Eric B.
AU - Ellingson, Sally R.
AU - Liu, Jinze
AU - Huang, Bin
AU - Hallahan, Brent J.
AU - Horbinski, Craig M.
AU - Hodges, Kurt
AU - Napier, Dana L.
AU - Bocklage, Thèrése
AU - Mueller, Joseph
AU - Vanderford, Nathan L.
AU - Fardo, David W.
AU - Wang, Chi
AU - Arnold, Susanne M.
N1 - Publisher Copyright:
© 2018 American Association for Cancer Research.
PY - 2019/2
Y1 - 2019/2
N2 - Background: Lung cancer is the leading cause of cancer mortality in the United States (U.S.). Squamous cell carcinoma (SQCC) represents 22.6% of all lung cancers nationally, and 26.4% in Appalachian Kentucky (AppKY), where death from lung cancer is exceptionally high. The Cancer Genome Atlas (TCGA) characterized genetic alterations in lung SQCC, but this cohort did not focus on AppKY residents. Methods: Whole-exome sequencing was performed on tumor and normal DNA samples from 51 lung SQCC subjects from AppKY. Somatic genomic alterations were compared between the AppKY and TCGA SQCC cohorts. Results: From this AppKY cohort, we identified an average of 237 nonsilent mutations per patient and, in comparison with TCGA, we found that PCMTD1 (18%) and IDH1 (12%) were more commonly altered in AppKY versus TCGA. Using IDH1 as a starting point, we identified a mutually exclusive mutational pattern (IDH1, KDM6A, KDM4E, JMJD1C) involving functionally related genes. We also found actionable mutations (10%) and/or intermediate or high-tumor mutation burden (65%), indicating potential therapeutic targets in 65% of subjects. Conclusions: This study has identified an increased percentage of IDH1 and PCMTD1 mutations in SQCC arising in the AppKY residents versus TCGA, with population-specific implications for the personalized treatment of this disease. Impact: Our study is the first report to characterize genomic alterations in lung SQCC from AppKY. These findings suggest population differences in the genetics of lung SQCC between AppKY and U.S. populations, highlighting the importance of the relevant population when developing personalized treatment approaches for this disease.
AB - Background: Lung cancer is the leading cause of cancer mortality in the United States (U.S.). Squamous cell carcinoma (SQCC) represents 22.6% of all lung cancers nationally, and 26.4% in Appalachian Kentucky (AppKY), where death from lung cancer is exceptionally high. The Cancer Genome Atlas (TCGA) characterized genetic alterations in lung SQCC, but this cohort did not focus on AppKY residents. Methods: Whole-exome sequencing was performed on tumor and normal DNA samples from 51 lung SQCC subjects from AppKY. Somatic genomic alterations were compared between the AppKY and TCGA SQCC cohorts. Results: From this AppKY cohort, we identified an average of 237 nonsilent mutations per patient and, in comparison with TCGA, we found that PCMTD1 (18%) and IDH1 (12%) were more commonly altered in AppKY versus TCGA. Using IDH1 as a starting point, we identified a mutually exclusive mutational pattern (IDH1, KDM6A, KDM4E, JMJD1C) involving functionally related genes. We also found actionable mutations (10%) and/or intermediate or high-tumor mutation burden (65%), indicating potential therapeutic targets in 65% of subjects. Conclusions: This study has identified an increased percentage of IDH1 and PCMTD1 mutations in SQCC arising in the AppKY residents versus TCGA, with population-specific implications for the personalized treatment of this disease. Impact: Our study is the first report to characterize genomic alterations in lung SQCC from AppKY. These findings suggest population differences in the genetics of lung SQCC between AppKY and U.S. populations, highlighting the importance of the relevant population when developing personalized treatment approaches for this disease.
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U2 - 10.1158/1055-9965.EPI-17-0984
DO - 10.1158/1055-9965.EPI-17-0984
M3 - Article
C2 - 30377206
AN - SCOPUS:85061031243
SN - 1055-9965
VL - 28
SP - 348
EP - 356
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 2
ER -