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Chanock, Stephen Jacob

0000-0002-2324-3393

A5091653870 | I1299303238

Mayo Clinic

National Institutes of Health

Citations 125

LIM domain only 2 protein expression,LMO2germline genetic variation, and overall survival in diffuse large B-cell lymphoma in the pre-rituximab era

Leukemia & Lymphoma | November 9, 2011 | Volume: 53 | Issue: 6 | Pages: 1105-1112

10.3109/10428194.2011.638717 | PMID 22066713

Human Leukocyte Antigen Class I and II Alleles and Overall Survival in Diffuse Large B-Cell Lymphoma and Follicular Lymphoma

The Scientific World JOURNAL | November 1, 2011 | Volume: 11 | Issue: No issue available | Pages: 2062-2070

10.1100/2011/373876 | PMID 22125456

Genetic variation in the 6p21 chromosomal region, including human leukocyte antigen (HLA) genes and tumor necrosis factor (TNF), has been linked to both etiology and clinical outcomes of lymphomas. We estimated the effects ofHLAclass I (A, B, and C), class IIDRB1alleles, and the ancestral haplotype (AH) 8.1 (HLAA*01-B*08-DRB1*03-TNF-308A) on overall survival (OS) among patients with diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) in a population-based study of non-Hodgkin lymphoma. During a median followup of 89 months, 31% (52 of 166) DLBCL and 28% (46 of 165) FL patients died. Using multivariate Cox regression models, we observed statistically significant associations between genetic variants and survival:HLA-Cw*07:01was associated with poorer OS among DLBCL patients (Hazard ratio [HR] = 1.76, 95% confidence interval [CI] = 1.01–3.05);HLA-A*01:01was associated with poorer OS (HR = 2.23, 95% CI = 1.24–4.01), andHLA-DRB1*13(HR = 0.12, 95% CI = 0.02–0.90) andHLA-B Bw4(HR = 0.36, 95% CI = 0.20–0.63) with better OS among FL patients. These results support a role forHLAin the prognosis of DLBCL and FL and represent a promising class of prognostic factors that warrants further evaluation.
Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer

Cancer Epidemiology, Biomarkers & Prevention | October 6, 2011 | Volume: 20 | Issue: 10 | Pages: 2222-2231

10.1158/1055-9965.epi-11-0569 | PMID 21795498

Abstract Background: The single-nucleotide polymorphism (SNP) 5p12-rs10941679 has been found to be associated with risk of breast cancer, particularly estrogen receptor (ER)-positive disease. We aimed to further explore this association overall, and by tumor histopathology, in the Breast Cancer Association Consortium. Methods: Data were combined from 37 studies, including 40,972 invasive cases, 1,398 cases of ductal carcinoma in situ (DCIS), and 46,334 controls, all of white European ancestry, as well as 3,007 invasive cases and 2,337 controls of Asian ancestry. Associations overall and by tumor invasiveness and histopathology were assessed using logistic regression. Results: For white Europeans, the per-allele OR associated with 5p12-rs10941679 was 1.11 (95% CI = 1.08–1.14, P = 7 × 10−18) for invasive breast cancer and 1.10 (95% CI = 1.01–1.21, P = 0.03) for DCIS. For Asian women, the estimated OR for invasive disease was similar (OR = 1.07, 95%CI = 0.99–1.15, P = 0.09). Further analyses suggested that the association in white Europeans was largely limited to progesterone receptor (PR)-positive disease (per-allele OR = 1.16, 95% CI = 1.12–1.20, P = 1 × 10−18 vs. OR = 1.03, 95% CI = 0.99–1.07, P = 0.2 for PR-negative disease; Pheterogeneity = 2 × 10−7); heterogeneity by ER status was not observed (P = 0.2) once PR status was accounted for. The association was also stronger for lower grade tumors [per-allele OR (95% CI) = 1.20 (1.14–1.25), 1.13 (1.09–1.16), and 1.04 (0.99–1.08) for grade 1, 2, and 3/4, respectively; Ptrend = 5 × 10−7]. Conclusion: 5p12 is a breast cancer susceptibility locus for PR-positive, lower grade breast cancer. Impact: Multicenter fine-mapping studies of this region are needed as a first step to identifying the causal variant or variants. Cancer Epidemiol Biomarkers Prev; 20(10); 2222–31. ©2011 AACR.
Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype: findings from the Breast Cancer Association Consortium†

Human Molecular Genetics | August 18, 2011 | Volume: 20 | Issue: 23 | Pages: 4693-4706

10.1093/hmg/ddr368 | PMID 21852249

MicroRNA Processing and Binding Site Polymorphisms Are Not Replicated in the Ovarian Cancer Association Consortium

Cancer Epidemiology, Biomarkers & Prevention | August 8, 2011 | Volume: 20 | Issue: 8 | Pages: 1793-1797

10.1158/1055-9965.epi-11-0397 | PMID 21636674

Abstract Background: Single nucleotide polymorphisms (SNP) in microRNA-related genes have been associated with epithelial ovarian cancer (EOC) risk in two reports, yet associated alleles may be inconsistent across studies. Methods: We conducted a pooled analysis of previously identified SNPs by combining genotype data from 3,973 invasive EOC cases and 3,276 controls from the Ovarian Cancer Association Consortium. We also conducted imputation to obtain dense coverage of genes and comparable genotype data for all studies. In total, 226 SNPs within 15 kb of 4 miRNA biogenesis genes (DDX20, DROSHA, GEMIN4, and XPO5) and 23 SNPs located within putative miRNA binding sites of 6 genes (CAV1, COL18A1, E2F2, IL1R1, KRAS, and UGT2A3) were genotyped or imputed and analyzed in the entire dataset. Results: After adjustment for European ancestry, no overall association was observed between any of the analyzed SNPs and EOC risk. Conclusions: Common variants in these evaluated genes do not seem to be strongly associated with EOC risk. Impact: This analysis suggests earlier associations between EOC risk and SNPs in these genes may have been chance findings, possibly confounded by population admixture. To more adequately evaluate the relationship between genetic variants and cancer risk, large sample sizes are needed, adjustment for population stratification should be carried out, and use of imputed SNP data should be considered. Cancer Epidemiol Biomarkers Prev; 20(8); 1793–7. ©2011 AACR.
Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium

Human Molecular Genetics | May 19, 2011 | Volume: 20 | Issue: 16 | Pages: 3289-3303

10.1093/hmg/ddr228 | PMID 21596841

LIN28B Polymorphisms Influence Susceptibility to Epithelial Ovarian Cancer

Cancer Research | April 12, 2011 | Volume: 71 | Issue: 11 | Pages: 3896-3903

10.1158/0008-5472.can-10-4167 | PMID 21482675

Abstract Defective microRNA (miRNA) biogenesis contributes to the development and progression of epithelial ovarian cancer (EOC). In this study, we examined the hypothesis that single nucleotide polymorphisms (SNP) in miRNA biogenesis genes may influence EOC risk. In an initial investigation, 318 SNPs in 18 genes were evaluated among 1,815 EOC cases and 1,900 controls, followed up by a replicative joint meta-analysis of data from an additional 2,172 cases and 3,052 controls. Of 23 SNPs from 9 genes associated with risk (empirical P < 0.05) in the initial investigation, the meta-analysis replicated 6 SNPs from the DROSHA, FMR1, LIN28, and LIN28B genes, including rs12194974 (G>A), an SNP in a putative transcription factor binding site in the LIN28B promoter region (summary OR = 0.90, 95% CI: 0.82–0.98; P = 0.015) which has been recently implicated in age of menarche and other phenotypes. Consistent with reports that LIN28B overexpression in EOC contributes to tumorigenesis by repressing tumor suppressor let-7 expression, we provide data from luciferase reporter assays and quantitative RT-PCR to suggest that the inverse association among rs12194974 A allele carriers may be because of reduced LIN28B expression. Our findings suggest that variants in LIN28B and possibly other miRNA biogenesis genes may influence EOC susceptibility. Cancer Res; 71(11); 3896–903. ©2011 AACR.
Abstract 935: Genetic variants in chromosome 6p21.3 and risk of non-Hodgkin lymphoma

Cancer Research | February 25, 2011 | Volume: 70 | Issue: 8_Supplement | Pages: 935-935

10.1158/1538-7445.am10-935

Abstract Background. Non-Hodgkin lymphoma (NHL) case-control studies consistently demonstrate the G-308A promoter polymorphism in the tumor necrosis factor gene on chromosome 6p21.3 to be associated with increased risk of the NHL subtype, diffuse large B-cell lymphoma (DLBCL). Initial results from a genome-wide association study have implicated a polymorphism located on 6p21.33 with increased risk of the follicular lymphoma subtype. In the present analysis, we evaluated 488 candidate gene regions (defined as 20kb 5’, 10kb 3’) and their relation to risk for NHL and the DLBCL and follicular lymphoma subtypes with a particular focus on genes within the 6p21 chromosomal region. Methods. We genotyped 6679 tag single nucleotide polymorphisms (SNPs) in 947 cases and 826 population-based controls from a multicenter U.S.-based case-control study. Genotyping was conducted on a custom-designed Illumina Infinium assay at the NCI Core Genotyping Facility. We obtained a gene region-level summary of association by computing the minimum p-value (“minP test”). We used logistic regression to evaluate the association between single nucleotide polymorphism (SNP) genotypes and haplotypes with NHL (adjusted for sex, race and age). For NHL subtypes, we conducted polytomous multivariate unconditional logistic regression. We evaluated tests for trend under the co-dominant model used a three-level ordinal variable for each SNP. Results. We identified 34 gene regions significantly associated with all NHL (p <0.05). The three most significant gene regions were all found on chromosome 6p21.3 (RING1/RXRB; AIF1/BAT2; BAT4, p=0.001). Within those gene regions, the most significant SNPs (p<0.0002) were rs2855429 and rs213213 (RING1/RXRB), rs2857597 and rs3130071 (AIF1/BAT2), and rs3115667 (BAT4). All five SNPs were statistically significantly associated with both DLBCL and follicular lymphoma. Additional gene regions on 6p21.3 associated with NHL include MSH5 (p=0.009), FAM46A (p=0.01) and TNXB/CREBL1 (p=0.04). Stratification by age and gender did not alter our results; consistent results were observed in analyses restricted to non-Hispanic Caucasians. Haplotype analyses yielded the same regions and SNPs of significance. Detailed analysis of the 6p21.3 region will be presented. Conclusions. Our results further implicate gene variants within the 6p21.3 chromosomal region in NHL etiology. Full characterization of the 6p21.3 region and identification of functional variants within this region are warranted for understanding lymphomagenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 935.
Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma

Cancer Epidemiology, Biomarkers & Prevention | January 6, 2011 | Volume: 20 | Issue: 1 | Pages: 42-49

10.1158/1055-9965.epi-10-0638 | PMID 21148756

Abstract Background: There is growing evidence linking genetic variations to non–Hodgkin lymphoma (NHL) etiology. To complement ongoing agnostic approaches for identifying susceptibility genes, we evaluated 488 candidate gene regions and their relation to risk for NHL and NHL subtypes. Methods: We genotyped 6,679 tag single nucleotide polymorphisms (SNPs) in 947 cases and 826 population-based controls from a multicenter U.S. case–control study. Gene-level summary of associations were obtained by computing the minimum P value (“minP test”) on the basis of 10,000 permutations. We used logistic regression to evaluate the association between genotypes and haplotypes with NHL. For NHL subtypes, we conducted polytomous multivariate unconditional logistic regression (adjusted for sex, race, age). We calculated P-trends under the codominant model for each SNP. Results: Fourteen gene regions were associated with NHL (P < 0.01). The most significant SNP associated with NHL maps to the SYK gene (rs2991216, P-trend = 0.00005). The three most significant gene regions were on chromosome 6p21.3 (RING1/RXRB; AIF1; BAT4). Accordingly, SNPs in RING1/RXRB (rs2855429), AIF1 (rs2857597), and BAT4 (rs3115667) were associated with NHL (P-trends ≤ 0.0002) and both diffuse large B-cell and follicular lymphomas (P-trends < 0.05). Conclusions: Our results suggest potential importance for SYK on chromosome 9 with NHL etiology. Our results further implicate 6p21.3 gene variants, supporting the need for full characterization of this chromosomal region in relation to lymphomagenesis. Impact: Gene variants on chromosome 9 may represent a new region of interesting for NHL etiology. The independence of the reported variants in 6p21.3 from implicated variants (TNF/HLA) supports the need to confirm causal variants in this region Cancer Epidemiol Biomarkers Prev; 20(1); 42–9. ©2011 AACR.
Polymorphism in the GALNT1 Gene and Epithelial Ovarian Cancer in Non-Hispanic White Women: The Ovarian Cancer Association Consortium

Cancer Epidemiology, Biomarkers & Prevention | February 8, 2010 | Volume: 19 | Issue: 2 | Pages: 600-604

10.1158/1055-9965.epi-09-0861 | PMID 20142253

Abstract Aberrant glycosylation is a well-described hallmark of cancer. In a previous ovarian cancer case control study that examined polymorphisms in 26 glycosylation-associated genes, we found strong statistical evidence (P = 0.00017) that women who inherited two copies of a single-nucleotide polymorphism in the UDP-N-acetylgalactosamine:polypeptide N-acetylgalactosaminyltransferase, GALNT1, had decreased ovarian cancer risk. The current study attempted to replicate this observation. The GALNT1 single-nucleotide polymorphism rs17647532 was genotyped in 6,965 cases and 8,377 controls from 14 studies forming the Ovarian Cancer Association Consortium. The fixed effects estimate per rs17647532 allele was null (odds ratio, 0.99; 95% confidence interval, 0.92-1.07). When a recessive model was fit, the results were unchanged. Test for hetero geneity of the odds ratios revealed consistency across the 14 replication sites but significant differences compared with the original study population (P = 0.03). This study underscores the need for replication of putative findings in genetic association studies. Cancer Epidemiol Biomarkers Prev; 19(2); 600–4