Evaluation of candidate stromal epithelial cross-talk genes identifies association between risk of serous ovarian cancer and TERT, a cancer susceptibility "hot-spot".
Evaluation of candidate stromal epithelial cross-talk genes identifies association between risk of serous ovarian cancer and TERT, a cancer susceptibility "hot-spot".
复制标题
DOI:
10.1371/journal.pgen.1001016
复制
发表时间:
2010-07-08
期刊:
影响因子:
4.5
通讯作者:
Australian Cancer Study (Ovarian Cancer)
中科院分区:
文献类型:
--
作者:
Johnatty SE;Beesley J;Chen X;Macgregor S;Duffy DL;Spurdle AB;deFazio A;Gava N;Webb PM;Rossing MA;Doherty JA;Goodman MT;Lurie G;Thompson PJ;Wilkens LR;Ness RB;Moysich KB;Chang-Claude J;Wang-Gohrke S;Cramer DW;Terry KL;Hankinson SE;Tworoger SS;Garcia-Closas M;Yang H;Lissowska J;Chanock SJ;Pharoah PD;Song H;Whitemore AS;Pearce CL;Stram DO;Wu AH;Pike MC;Gayther SA;Ramus SJ;Menon U;Gentry-Maharaj A;Anton-Culver H;Ziogas A;Hogdall E;Kjaer SK;Hogdall C;Berchuck A;Schildkraut JM;Iversen ES;Moorman PG;Phelan CM;Sellers TA;Cunningham JM;Vierkant RA;Rider DN;Goode EL;Haviv I;Chenevix-Trench G;Ovarian Cancer Association Consortium;Australian Ovarian Cancer Study Group;Australian Cancer Study (Ovarian Cancer)
We hypothesized that variants in genes expressed as a consequence of interactions between ovarian cancer cells and the host micro-environment could contribute to cancer susceptibility. We therefore used a two-stage approach to evaluate common single nucleotide polymorphisms (SNPs) in 173 genes involved in stromal epithelial interactions in the Ovarian Cancer Association Consortium (OCAC). In the discovery stage, cases with epithelial ovarian cancer (n = 675) and controls (n = 1,162) were genotyped at 1,536 SNPs using an Illumina GoldenGate assay. Based on Positive Predictive Value estimates, three SNPs—PODXL rs1013368, ITGA6 rs13027811, and MMP3 rs522616—were selected for replication using TaqMan genotyping in up to 3,059 serous invasive cases and 8,905 controls from 16 OCAC case-control studies. An additional 18 SNPs with P per-allele<0.05 in the discovery stage were selected for replication in a subset of five OCAC studies (n = 1,233 serous invasive cases; n = 3,364 controls). The discovery stage associations in PODXL, ITGA6, and MMP3 were attenuated in the larger replication set (adj. P per-allele≥0.5). However genotypes at TERT rs7726159 were associated with ovarian cancer risk in the smaller, five-study replication study (P per-allele = 0.03). Combined analysis of the discovery and replication sets for this TERT SNP showed an increased risk of serous ovarian cancer among non-Hispanic whites [adj. ORper-allele 1.14 (1.04–1.24) p = 0.003]. Our study adds to the growing evidence that, like the 8q24 locus, the telomerase reverse transcriptase locus at 5p15.33, is a general cancer susceptibility locus. In this article, we report the findings from a large-scale analysis of common variation in genes that are expressed as a consequence of interactions between ovarian cancer cells and their host micro-environment that could influence serous ovarian cancer risk. We evaluated 1,302 common variants within or near 173 genes in two large case-control studies from the Ovarian Cancer Association Consortium (OCAC) and selected three variants for further evaluation in sixteen OCAC studies and an additional 18 for evaluation in five OCAC studies. We observed a significantly increased risk of serous ovarian cancer associated with a variant in the telomerase reverse transcriptase (TERT) gene. Although TERT variants have not been previously shown to contribute to ovarian cancer risk, several studies have recently reported associations between TERT variants and other forms of cancer, including gliomas, lung cancer, adenocarcinoma, basal cell carcinoma, prostate cancer, and multiple other cancers. TERT encodes a protein that is essential for the replication and maintenance of chromosomal integrity during cell division. In cancer cells, TERT has been linked to genomic instability and tumour cell proliferation. Further studies are necessary to confirm our findings and to investigate the mechanisms for the observed association.
登录
查看更多内容
影响因子:
30.8
作者:
McKay, James D.;Hung, Rayjean J.;Gaborieau, Valerie;Boffetta, Paolo;Chabrier, Amelie;Byrnes, Graham;Zaridze, David;Mukeria, Anush;Szeszenia-Dabrowska, Neonilia;Lissowska, Jolanta;Rudnai, Peter;Fabianova, Eleonora;Mates, Dana;Bencko, Vladimir;Foretova, Lenka;Janout, Vladimir;McLaughlin, John;Shepherd, Frances;Montpetit, Alexandre;Narod, Steven;Krokan, Hans E.;Skorpen, Frank;Elvestad, Maiken Bratt;Vatten, Lars;Njolstad, Inger;Axelsson, Tomas;Chen, Chu;Goodman, Gary;Barnett, Matt;Loomis, Melissa M.;Lubinski, Jan;Matyjasik, Joanna;Lener, Marcin;Oszutowska, Dorota;Field, John;Liloglou, Triantafillos;Xinarianos, George;Cassidy, Adrian;Zelenika, Diana;Boland, Anne;Delepine, Marc;Foglio, Mario;Lechner, Doris;Matsuda, Fumihiko;Blanche, Helene;Gut, Ivo;Heath, Simon;Lathrop, Mark;Brennan, Paul
通讯作者:
Brennan, Paul
DOI:
10.1158/1055-9965.epi-07-2849
发表时间:
2008-07
期刊:
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子:
--
作者:
Cunningham JM;Sellers TA;Schildkraut JM;Fredericksen ZS;Vierkant RA;Kelemen LE;Gadre M;Phelan CM;Huang Y;Meyer JG;Pankratz VS;Goode EL
通讯作者:
Goode EL
影响因子:
8
作者:
Donninger, H;Bonome, T;Birrer, MJ
通讯作者:
Birrer, MJ
影响因子:
30.8
作者:
de Bakker, PIW;Yelensky, R;Altshuler, D
通讯作者:
Altshuler, D
影响因子:
56.9
作者:
Hinds, DA;Stuve, LL;Cox, DR
通讯作者:
Cox, DR