Citations

Abstract Background: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies. Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations between cancers and 14 noncancer diseases and traits. Results: After adjusting for 15 pair-wise genetic correlation tests between cancers, we found significant (P < 0.003) genetic correlations between pancreatic and colorectal cancer (rg = 0.55, P = 0.003), lung and colorectal cancer (rg = 0.31, P = 0.001). We also found suggestive genetic correlations between lung and breast cancer (rg = 0.27, P = 0.009), and colorectal and breast cancer (rg = 0.22, P = 0.01). In contrast, we found no evidence that prostate cancer shared an appreciable proportion of heritability with other cancers. After adjusting for 84 tests studying genetic correlations between cancer types and other traits (Bonferroni-corrected P value: 0.0006), only the genetic correlation between lung cancer and smoking remained significant (rg = 0.41, P = 1.03 × 10−6). We also observed nominally significant genetic correlations between body mass index and all cancers except ovarian cancer. Conclusions: Our results highlight novel genetic correlations and lend support to previous observational studies that have observed links between cancers and risk factors. Impact: This study demonstrates modest genetic correlations between cancers; in particular, breast, colorectal, and lung cancer share some degree of genetic basis. Cancer Epidemiol Biomarkers Prev; 26(9); 1427–35. ©2017 AACR.

Abstract Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. Methods: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. Results: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. Conclusions: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. Impact: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.

Telomeres cap chromosome ends, protecting them from degradation, double‐strand breaks, and end‐to‐end fusions. Telomeres are maintained by telomerase, a reverse transcriptase encoded by TERT, and an RNA template encoded by TERC. Loci in the TERT and adjoining CLPTM1L region are associated with risk of multiple cancers. We therefore investigated associations between variants in 22 telomere structure and maintenance gene regions and colorectal, breast, prostate, ovarian, and lung cancer risk. We performed subset‐based meta‐analyses of 204,993 directly‐measured and imputed SNPs among 61,851 cancer cases and 74,457 controls of European descent. Independent associations for SNP minor alleles were identified using sequential conditional analysis (with gene‐level p value cutoffs ≤3.08 × 10−5). Of the thirteen independent SNPs observed to be associated with cancer risk, novel findings were observed for seven loci. Across the DCLRE1B region, rs974494 and rs12144215 were inversely associated with prostate and lung cancers, and colorectal, breast, and prostate cancers, respectively. Across the TERC region, rs75316749 was positively associated with colorectal, breast, ovarian, and lung cancers. Across the DCLRE1B region, rs974404 and rs12144215 were inversely associated with prostate and lung cancers, and colorectal, breast, and prostate cancers, respectively. Near POT1, rs116895242 was inversely associated with colorectal, ovarian, and lung cancers, and RTEL1 rs34978822 was inversely associated with prostate and lung cancers. The complex association patterns in telomere‐related genes across cancer types may provide insight into mechanisms through which telomere dysfunction in different tissues influences cancer risk.

Abstract Autophagy has been linked with melanoma, but no polymorphisms in autophagy related (ATG) genes have been investigated for association with melanoma prognostic indicators and survival. We examined 5 ATG gene single nucleotide polymorphisms (SNPs) in a large international multicenter population-based case-control study of melanoma. DNA from 911 melanoma patients was genotyped for five SNPs with a known or suspected impact on autophagic flux. While we did not identify an association with survival, a significant association was identified between the minor allele for an ATG16L polymorphism (rs2241880) and a decrease in Breslow thickness (p = 0.03), earlier tumor stage at diagnosis (OR 0.47, 95% CI 0.27-0.81, p = 0.02) and younger age at diagnosis (p = 0.02). In addition, two SNPs in ATG5 (rs2245214 and rs510432) were found to be significantly associated with increased tumor stage of melanoma (OR 1.84 95% CI 1.12-3.02, p = 0.05; OR 1.47 95% CI 1.11-1.94, p = 0.03). Finally, we identified inverse associations between the minor allele of rs2245214 and melanomas on the scalp or neck (OR 0.20, 95% CI 0.05-0.86, p = 0.03); rs1864182 (OR 0.42, 95% CI 0.21-0.88, p = 0.02) and brisk TILs, and rs510432 (OR 0.55 95% CI 0.34-0.87, p = 0.01) with non-brisk TILs, although they were not globally significant. In summary, our data suggests that ATG SNPs, while not associated with survival, may be associated with Breslow thickness, tumor stage, age at diagnosis, and aggressive histopathological factors. These associations could contribute to our current understanding of the significant role of autophagy in melanoma progression. Citation Format: Kirsten A. m. White, Li Luo, Todd A. Thompson, Salina Torres, Chien-An A. Hu, Nancy E. Thomas, Hoda Anton-Culver, Stephen B. Gruber, Lynn From, Klaus J. Busam, Irene Orlow, Peter A. Kanetsky, Lorraine D. Marrett, Richard P. Gallagher, Roberto Zanetti, Stefano Rosso, Terry Dwyer, Anne E. Cust, Allison Venn, Colin B. Begg, Marianne Berwick, Jenna Lillyquist. Variants in autophagy related genes and clinical characteristics in melanoma: a population-based study. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1016.

Abstract Identifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-stage approach to conduct genome-wide association studies for lung, ovary, breast, prostate, and colorectal cancer from the GAME-ON/GECCO Network (61,851 cases, 61,820 controls) to identify pleiotropic loci. Findings were replicated in independent association studies (55,789 cases, 330,490 controls). We identified a novel pleiotropic association at 1q22 involving breast and lung squamous cell carcinoma, with eQTL analysis showing an association with ADAM15/THBS3 gene expression in lung. We also identified a known breast cancer locus CASP8/ALS2CR12 associated with prostate cancer, a known cancer locus at CDKN2B-AS1 with different variants associated with lung adenocarcinoma and prostate cancer, and confirmed the associations of a breast BRCA2 locus with lung and serous ovarian cancer. This is the largest study to date examining pleiotropy across multiple cancer-associated loci, identifying common mechanisms of cancer development and progression. Cancer Res; 76(17); 5103–14. ©2016 AACR.

Abstract To identify genetic variants that contribute to colorectal cancer (CRC) susceptibility, we performed a meta-analysis of two genome-wide association studies in 2,627 cases and 3,797 controls of Japanese ancestry and 1,894 cases and 4,703 controls of African ancestry, followed by a replication of genome-wide statistically significant associations (P < 5E-8) in 16,823 cases and 18,211 controls of European ancestry. This study revealed a new pan-ethnic CRC risk locus at 10q25 (rs12241008, intronic to VTI1A; P=1.5E-9), providing additional insight into the etiology of CRC and highlighting the value of association mapping in diverse populations. Citation Format: Hansong Wang, Terrilea Burnett, Suminori Kono, Christopher Haiman, Motoki Iwasaki, Lynne Wilkens, Lenora Loo, David Van Den Berg, Laurence Kolonel, Brian Henderson, Temitope Keku, Robert Sandler, Lisa Signorello, William Blot, Polly Newcomb, Mala Pande, Christopher Amos, Dee West, Stéphane Bézieau, Sonja Berndt, Brent Zanke, Li Hsu, Noralane Lindor, Robert Haile, John Hopper, Mark Jenkins, Steven Gallinger, Graham Casey, Stephanie Stenzel, Fredrick Schumacher, Ulrike Peters, Stephen Gruber, Shoichiro Tsugane, Dan Stram, Loic Le Marchand. Transethnic genome-wide association study of colorectal cancer identifies a new susceptibility locus in VTI1A. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-282. doi:10.1158/1538-7445.AM2014-LB-282

Abstract Background: Although an increased cancer risk in Peutz-Jeghers syndrome is established, data on the spectrum of tumors associated with the disease and the influence of germ-line STK11/LKB1 (serine/threonine kinase) mutation status are limited. Experimental Design: We analyzed the incidence of cancer in 419 individuals with Peutz-Jeghers syndrome, and 297 had documented STK11/LKB1 mutations. Results: Ninety-six cancers were found among individuals with Peutz-Jeghers syndrome. The risk for developing cancer at ages 20, 30, 40, 50, 60, and 70 years was 2%, 5%, 17%, 31%, 60%, and 85%, respectively. The most common cancers represented in this analysis were gastrointestinal in origin, gastroesophageal, small bowel, colorectal, and pancreatic, and the risk for these cancers at ages 30, 40, 50, and 60 years was 1%, 9%, 15%, and 33%, respectively. In women with Peutz-Jeghers syndrome, the risk of breast cancer was substantially increased, being 8% and 31% at ages 40 and 60 years, respectively. Kaplan-Meier analysis showed that cancer risks were similar in Peutz-Jeghers syndrome patients with identified STK11/LKB1 mutations and those with no detectable mutation (log-rank test of difference χ2 = 0.62; 1 df; P = 0.43). Furthermore, the type or site of STK11/LKB1 mutation did not significantly influence cancer risk. Conclusions: The results from our study provide quantitative information on the spectrum of cancers and risks of specific cancer types associated with Peutz-Jeghers syndrome.