Rare, Pathogenic Germline Variants in Fanconi Anemia Genes Increase Risk for Squamous Lung Cancer

Clin Cancer Res. 2019 Mar 1;25(5):1517-1525. doi: 10.1158/1078-0432.CCR-18-2660. Epub 2018 Nov 13.

Abstract

Purpose: Lung cancer is the leading cause of cancer deaths worldwide, with substantially better prognosis in early-stage as opposed to late-stage disease. Identifying genetic factors for lung squamous cell carcinoma (SqCC) risk will enable their use in risk stratification, and personalized intensive surveillance, early detection, and prevention strategies for high-risk individuals.

Experimental design: We analyzed whole-exome sequencing datasets of 318 cases and 814 controls (discovery cohort) and then validated our findings in an independent cohort of 444 patients and 3,479 controls (validation cohort), all of European descent. We also combined all the samples from both cohorts, which, after principal component analysis (PCA) and population stratification, included 765 cases and 4,344 controls (combined cohort). We focused on rare, pathogenic variants found in the ClinVar database and used penalized logistic regression to identify genes in which such variants are enriched in cases. All statistical tests were two-sided.

Results: We observed an overall enrichment of rare, deleterious germline variants in Fanconi anemia genes in cases with SqCC [joint analysis odds ratio (OR) = 3.08; P = 1.4e-09; 95% confidence interval (CI), 2.2-4.3]. Consistent with previous studies, BRCA2 in particular exhibited an increased overall burden of rare, deleterious variants (joint OR = 3.2; P = 8.7e-08; 95% CI, 2.1-4.7). More importantly, rare, deleterious germline variants were enriched in Fanconi anemia genes even without the BRCA2 rs11571833 variant that is strongly enriched in lung SqCC cases (joint OR = 2.76; P = 7.0e-04; 95% CI, 1.6-4.7).

Conclusions: These findings can be used toward the development of a genetic diagnostic test in the clinic to identify SqCC high-risk individuals, who can benefit from personalized programs, improving prognosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor*
  • Carcinoma, Squamous Cell / diagnosis
  • Carcinoma, Squamous Cell / etiology*
  • Databases, Genetic
  • Exome Sequencing
  • Fanconi Anemia Complementation Group Proteins / genetics*
  • Female
  • Genetic Predisposition to Disease*
  • Germ-Line Mutation*
  • Humans
  • Lung Neoplasms / diagnosis
  • Lung Neoplasms / etiology*
  • Male
  • Risk Assessment
  • Risk Factors

Substances

  • Biomarkers, Tumor
  • Fanconi Anemia Complementation Group Proteins