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Stevens VL, Jacobs EJ, Patel AV, McCullough ML, Campbell PT, Gapstur SM. The authors reply. Am J Epidemiol 2015; 182:822. [PMID: 26454258 DOI: 10.1093/aje/kwv247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Genkinger JM, Kitahara CM, Bernstein L, Berrington de Gonzalez A, Brotzman M, Elena JW, Giles GG, Hartge P, Singh PN, Stolzenberg-Solomon RZ, Weiderpass E, Adami HO, Anderson KE, Beane-Freeman LE, Buring JE, Fraser GE, Fuchs CS, Gapstur SM, Gaziano JM, Helzlsouer KJ, Lacey JV, Linet MS, Liu JJ, Park Y, Peters U, Purdue MP, Robien K, Schairer C, Sesso HD, Visvanathan K, White E, Wolk A, Wolpin BM, Zeleniuch-Jacquotte A, Jacobs EJ. Central adiposity, obesity during early adulthood, and pancreatic cancer mortality in a pooled analysis of cohort studies. Ann Oncol 2015; 26:2257-66. [PMID: 26347100 PMCID: PMC4621029 DOI: 10.1093/annonc/mdv355] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Revised: 08/07/2015] [Accepted: 08/16/2015] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Body mass index (BMI), a measure of obesity typically assessed in middle age or later, is known to be positively associated with pancreatic cancer. However, little evidence exists regarding the influence of central adiposity, a high BMI during early adulthood, and weight gain after early adulthood on pancreatic cancer risk. DESIGN We conducted a pooled analysis of individual-level data from 20 prospective cohort studies in the National Cancer Institute BMI and Mortality Cohort Consortium to examine the association of pancreatic cancer mortality with measures of central adiposity (e.g. waist circumference; n = 647 478; 1947 pancreatic cancer deaths), BMI during early adulthood (ages 18-21 years) and BMI change between early adulthood and cohort enrollment, mostly in middle age or later (n = 1 096 492; 3223 pancreatic cancer deaths). Multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. RESULTS Higher waist-to-hip ratio (HR = 1.09, 95% CI 1.02-1.17 per 0.1 increment) and waist circumference (HR = 1.07, 95% CI 1.00-1.14 per 10 cm) were associated with increased risk of pancreatic cancer mortality, even when adjusted for BMI at baseline. BMI during early adulthood was associated with increased pancreatic cancer mortality (HR = 1.18, 95% CI 1.11-1.25 per 5 kg/m(2)), with increased risk observed in both overweight and obese individuals (compared with BMI of 21.0 to <23 kg/m(2), HR = 1.36, 95% CI 1.20-1.55 for BMI 25.0 < 27.5 kg/m(2), HR = 1.48, 95% CI 1.20-1.84 for BMI 27.5 to <30 kg/m(2), HR = 1.43, 95% CI 1.11-1.85 for BMI ≥30 kg/m(2)). BMI gain after early adulthood, adjusted for early adult BMI, was less strongly associated with pancreatic cancer mortality (HR = 1.05, 95% CI 1.01-1.10 per 5 kg/m(2)). CONCLUSIONS Our results support an association between pancreatic cancer mortality and central obesity, independent of BMI, and also suggest that being overweight or obese during early adulthood may be important in influencing pancreatic cancer mortality risk later in life.
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Markt SC, Shui IM, Unger RH, Urun Y, Berg CD, Black A, Brennan P, Bueno-de-Mesquita HB, Gapstur SM, Giovannucci E, Haiman C, Henderson B, Hoover RN, Hunter DJ, Key TJ, Khaw KT, Canzian F, Larranga N, Le Marchand L, Ma J, Naccarati A, Siddiq A, Stampfer MJ, Stattin P, Stevens VL, Stram DO, Tjønneland A, Travis RC, Trichopoulos D, Ziegler RG, Lindstrom S, Kraft P, Mucci LA, Choueiri TK, Wilson KM. ABO blood group alleles and prostate cancer risk: Results from the breast and prostate cancer cohort consortium (BPC3). Prostate 2015; 75:1677-81. [PMID: 26268879 PMCID: PMC4578997 DOI: 10.1002/pros.23035] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Accepted: 05/22/2015] [Indexed: 11/11/2022]
Abstract
BACKGROUND ABO blood group has been associated with risk of cancers of the pancreas, stomach, ovary, kidney, and skin, but has not been evaluated in relation to risk of aggressive prostate cancer. METHODS We used three single nucleotide polymorphisms (SNPs) (rs8176746, rs505922, and rs8176704) to determine ABO genotype in 2,774 aggressive prostate cancer cases and 4,443 controls from the Breast and Prostate Cancer Cohort Consortium (BPC3). Unconditional logistic regression was used to calculate age and study-adjusted odds ratios and 95% confidence intervals for the association between blood type, genotype, and risk of aggressive prostate cancer (Gleason score ≥8 or locally advanced/metastatic disease (stage T3/T4/N1/M1). RESULTS We found no association between ABO blood type and risk of aggressive prostate cancer (Type A: OR = 0.97, 95%CI = 0.87-1.08; Type B: OR = 0.92, 95%CI =n0.77-1.09; Type AB: OR = 1.25, 95%CI = 0.98-1.59, compared to Type O, respectively). Similarly, there was no association between "dose" of A or B alleles and aggressive prostate cancer risk. CONCLUSIONS ABO blood type was not associated with risk of aggressive prostate cancer.
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Szulkin R, Karlsson R, Whitington T, Aly M, Gronberg H, Eeles RA, Easton DF, Kote-Jarai Z, Al Olama AA, Benlloch S, Muir K, Giles GG, Southey MC, FitzGerald LM, Henderson BE, Schumacher FR, Haiman CA, Sipeky C, Tammela TLJ, Nordestgaard BG, Key TJ, Travis RC, Neal DE, Donovan JL, Hamdy FC, Pharoah PDP, Pashayan N, Khaw KT, Stanford JL, Thibodeau SN, McDonnell SK, Schaid DJ, Maier C, Vogel W, Luedeke M, Herkommer K, Kibel AS, Cybulski C, Lubiński J, Kluźniak W, Cannon-Albright L, Brenner H, Herrmann V, Holleczek B, Park JY, Sellers TA, Lim HY, Slavov C, Kaneva RP, Mitev VI, Spurdle A, Teixeira MR, Paulo P, Maia S, Pandha H, Michael A, Kierzek A, Batra J, Clements JA, Albanes D, Andriole GL, Berndt SI, Chanock S, Gapstur SM, Giovannucci EL, Hunter DJ, Kraft P, Le Marchand L, Ma J, Mondul AM, Penney KL, Stampfer MJ, Stevens VL, Weinstein SJ, Trichopoulou A, Bueno-de-Mesquita BH, Tjønneland A, Cox DG, Maehle L, Schleutker J, Lindström S, Wiklund F. Genome-wide association study of prostate cancer-specific survival. Cancer Epidemiol Biomarkers Prev 2015; 24:1796-800. [PMID: 26307654 PMCID: PMC5674990 DOI: 10.1158/1055-9965.epi-15-0543] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Accepted: 07/28/2015] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical. METHODS We performed a genome-wide survival analysis of cause-specific death in 24,023 prostate cancer patients (3,513 disease-specific deaths) from the PRACTICAL and BPC3 consortia. Top findings were assessed for replication in a Norwegian cohort (CONOR). RESULTS We observed no significant association between genetic variants and prostate cancer survival. CONCLUSIONS Common genetic variants with large impact on prostate cancer survival were not observed in this study. IMPACT Future studies should be designed for identification of rare variants with large effect sizes or common variants with small effect sizes.
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Baselga J, Bhardwaj N, Cantley LC, DeMatteo R, DuBois RN, Foti M, Gapstur SM, Hahn WC, Helman LJ, Jensen RA, Paskett ED, Lawrence TS, Lutzker SG, Szabo E. AACR Cancer Progress Report 2015. Clin Cancer Res 2015; 21:S1-128. [PMID: 26429991 PMCID: PMC5001568 DOI: 10.1158/1078-0432.ccr-15-1846] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Han Y, Hazelett DJ, Wiklund F, Schumacher FR, Stram DO, Berndt SI, Wang Z, Rand KA, Hoover RN, Machiela MJ, Yeager M, Burdette L, Chung CC, Hutchinson A, Yu K, Xu J, Travis RC, Key TJ, Siddiq A, Canzian F, Takahashi A, Kubo M, Stanford JL, Kolb S, Gapstur SM, Diver WR, Stevens VL, Strom SS, Pettaway CA, Al Olama AA, Kote-Jarai Z, Eeles RA, Yeboah ED, Tettey Y, Biritwum RB, Adjei AA, Tay E, Truelove A, Niwa S, Chokkalingam AP, Isaacs WB, Chen C, Lindstrom S, Le Marchand L, Giovannucci EL, Pomerantz M, Long H, Li F, Ma J, Stampfer M, John EM, Ingles SA, Kittles RA, Murphy AB, Blot WJ, Signorello LB, Zheng W, Albanes D, Virtamo J, Weinstein S, Nemesure B, Carpten J, Leske MC, Wu SY, Hennis AJM, Rybicki BA, Neslund-Dudas C, Hsing AW, Chu L, Goodman PJ, Klein EA, Zheng SL, Witte JS, Casey G, Riboli E, Li Q, Freedman ML, Hunter DJ, Gronberg H, Cook MB, Nakagawa H, Kraft P, Chanock SJ, Easton DF, Henderson BE, Coetzee GA, Conti DV, Haiman CA. Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions. Hum Mol Genet 2015; 24:5603-18. [PMID: 26162851 PMCID: PMC4572069 DOI: 10.1093/hmg/ddv269] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 07/07/2015] [Indexed: 01/27/2023] Open
Abstract
Interpretation of biological mechanisms underlying genetic risk associations for prostate cancer is complicated by the relatively large number of risk variants (n = 100) and the thousands of surrogate SNPs in linkage disequilibrium. Here, we combined three distinct approaches: multiethnic fine-mapping, putative functional annotation (based upon epigenetic data and genome-encoded features), and expression quantitative trait loci (eQTL) analyses, in an attempt to reduce this complexity. We examined 67 risk regions using genotyping and imputation-based fine-mapping in populations of European (cases/controls: 8600/6946), African (cases/controls: 5327/5136), Japanese (cases/controls: 2563/4391) and Latino (cases/controls: 1034/1046) ancestry. Markers at 55 regions passed a region-specific significance threshold (P-value cutoff range: 3.9 × 10(-4)-5.6 × 10(-3)) and in 30 regions we identified markers that were more significantly associated with risk than the previously reported variants in the multiethnic sample. Novel secondary signals (P < 5.0 × 10(-6)) were also detected in two regions (rs13062436/3q21 and rs17181170/3p12). Among 666 variants in the 55 regions with P-values within one order of magnitude of the most-associated marker, 193 variants (29%) in 48 regions overlapped with epigenetic or other putative functional marks. In 11 of the 55 regions, cis-eQTLs were detected with nearby genes. For 12 of the 55 regions (22%), the most significant region-specific, prostate-cancer associated variant represented the strongest candidate functional variant based on our annotations; the number of regions increased to 20 (36%) and 27 (49%) when examining the 2 and 3 most significantly associated variants in each region, respectively. These results have prioritized subsets of candidate variants for downstream functional evaluation.
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Hildebrand JS, Gapstur SM, Gaudet MM, Campbell PT, Patel AV. Moderate-to-vigorous physical activity and leisure-time sitting in relation to ovarian cancer risk in a large prospective US cohort. Cancer Causes Control 2015; 26:1691-7. [DOI: 10.1007/s10552-015-0656-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Accepted: 08/21/2015] [Indexed: 10/23/2022]
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Petrick JL, Freedman ND, Graubard BI, Sahasrabuddhe VV, Lai GY, Alavanja MC, Beane-Freeman LE, Boggs DA, Buring JE, Chan AT, Chong DQ, Fuchs CS, Gapstur SM, Gaziano JM, Giovannucci EL, Hollenbeck AR, King LY, Koshiol J, Lee IM, Linet MS, Palmer JR, Poynter JN, Purdue MP, Robien K, Schairer C, Sesso HD, Sigurdson AJ, Zeleniuch-Jacquotte A, Wactawski-Wende J, Campbell PT, McGlynn KA. Coffee Consumption and Risk of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma by Sex: The Liver Cancer Pooling Project. Cancer Epidemiol Biomarkers Prev 2015; 24:1398-406. [PMID: 26126626 PMCID: PMC4576990 DOI: 10.1158/1055-9965.epi-15-0137] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Accepted: 06/16/2015] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Coffee consumption has been reported to be inversely associated with hepatocellular carcinoma (HCC), the most common type of liver cancer. Caffeine has chemopreventive properties, but whether caffeine is responsible for the coffee-HCC association is not well studied. In addition, few studies have examined the relationship by sex, and no studies have examined whether there is an association between coffee and intrahepatic cholangiocarcinoma (ICC), the second most common type of liver cancer. METHODS In the Liver Cancer Pooling Project, a consortium of U.S.-based cohort studies, data from 1,212,893 individuals (HCC, n = 860; ICC, n = 260) in nine cohorts were pooled. Multivariable-adjusted hazard ratios (HR) and 95% confidence intervals (CI) were estimated using proportional hazards regression. RESULTS Higher coffee consumption was associated with lower risk of HCC (HR>3 cups/day vs. non-drinker, 0.73; 95% CI, 0.53-0.99; Ptrend cups/day = <0.0001). More notable reduced risk was seen among women than men (Pinteraction = 0.07). Women who consumed more than three cups of coffee per day were at a 54% lower risk of HCC (HR, 0.46; 95% CI, 0.26-0.81), whereas men had more modest reduced risk of HCC (HR, 0.93; 95% CI, 0.63-1.37). The associations were stronger for caffeinated coffee (HR>3 cups/day vs. non-drinker, 0.71; 95% CI, 0.50-1.01) than decaffeinated coffee (HR, 0.92; 95% CI, 0.55-1.54). There was no association between coffee consumption and ICC. CONCLUSIONS These findings suggest that, in a U.S. population, coffee consumption is associated with reduced risk of HCC. IMPACT Further research into specific coffee compounds and mechanisms that may account for these associations is needed.
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Jung S, Wang M, Anderson K, Baglietto L, Bergkvist L, Bernstein L, van den Brandt PA, Brinton L, Buring JE, Eliassen AH, Falk R, Gapstur SM, Giles GG, Goodman G, Hoffman-Bolton J, Horn-Ross PL, Inoue M, Kolonel LN, Krogh V, Lof M, Maas P, Miller AB, Neuhouser ML, Park Y, Robien K, Rohan TE, Scarmo S, Schouten LJ, Sieri S, Stevens VL, Tsugane S, Visvanathan K, Wilkens LR, Wolk A, Weiderpass E, Willett WC, Zeleniuch-Jacquotte A, Zhang SM, Zhang X, Ziegler RG, Smith-Warner SA. Alcohol consumption and breast cancer risk by estrogen receptor status: in a pooled analysis of 20 studies. Int J Epidemiol 2015; 45:916-28. [PMID: 26320033 DOI: 10.1093/ije/dyv156] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2015] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Breast cancer aetiology may differ by estrogen receptor (ER) status. Associations of alcohol and folate intakes with risk of breast cancer defined by ER status were examined in pooled analyses of the primary data from 20 cohorts. METHODS During a maximum of 6-18 years of follow-up of 1 089 273 women, 21 624 ER+ and 5113 ER- breast cancers were identified. Study-specific multivariable relative risks (RRs) were calculated using Cox proportional hazards regression models and then combined using a random-effects model. RESULTS Alcohol consumption was positively associated with risk of ER+ and ER- breast cancer. The pooled multivariable RRs (95% confidence intervals) comparing ≥ 30 g/d with 0 g/day of alcohol consumption were 1.35 (1.23-1.48) for ER+ and 1.28 (1.10-1.49) for ER- breast cancer (Ptrend ≤ 0.001; Pcommon-effects by ER status: 0.57). Associations were similar for alcohol intake from beer, wine and liquor. The associations with alcohol intake did not vary significantly by total (from foods and supplements) folate intake (Pinteraction ≥ 0.26). Dietary (from foods only) and total folate intakes were not associated with risk of overall, ER+ and ER- breast cancer; pooled multivariable RRs ranged from 0.98 to 1.02 comparing extreme quintiles. Following-up US studies through only the period before mandatory folic acid fortification did not change the results. The alcohol and folate associations did not vary by tumour subtypes defined by progesterone receptor status. CONCLUSIONS Alcohol consumption was positively associated with risk of both ER+ and ER- breast cancer, even among women with high folate intake. Folate intake was not associated with breast cancer risk.
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Barrdahl M, Canzian F, Lindström S, Shui I, Black A, Hoover RN, Ziegler RG, Buring JE, Chanock SJ, Diver WR, Gapstur SM, Gaudet MM, Giles GG, Haiman C, Henderson BE, Hankinson S, Hunter DJ, Joshi AD, Kraft P, Lee IM, Le Marchand L, Milne RL, Southey MC, Willett W, Gunter M, Panico S, Sund M, Weiderpass E, Sánchez MJ, Overvad K, Dossus L, Peeters PH, Khaw KT, Trichopoulos D, Kaaks R, Campa D. Association of breast cancer risk loci with breast cancer survival. Int J Cancer 2015; 137:2837-45. [PMID: 25611573 DOI: 10.1002/ijc.29446] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 11/27/2014] [Accepted: 12/04/2014] [Indexed: 01/23/2023]
Abstract
The survival of breast cancer patients is largely influenced by tumor characteristics, such as TNM stage, tumor grade and hormone receptor status. However, there is growing evidence that inherited genetic variation might affect the disease prognosis and response to treatment. Several lines of evidence suggest that alleles influencing breast cancer risk might also be associated with breast cancer survival. We examined the associations between 35 breast cancer susceptibility loci and the disease over-all survival (OS) in 10,255 breast cancer patients from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3) of which 1,379 died, including 754 of breast cancer. We also conducted a meta-analysis of almost 35,000 patients and 5,000 deaths, combining results from BPC3 and the Breast Cancer Association Consortium (BCAC) and performed in silico analyses of SNPs with significant associations. In BPC3, the C allele of LSP1-rs3817198 was significantly associated with improved OS (HRper-allele =0.70; 95% CI: 0.58-0.85; ptrend = 2.84 × 10(-4) ; HRheterozygotes = 0.71; 95% CI: 0.55-0.92; HRhomozygotes = 0.48; 95% CI: 0.31-0.76; p2DF = 1.45 × 10(-3) ). In silico, the C allele of LSP1-rs3817198 was predicted to increase expression of the tumor suppressor cyclin-dependent kinase inhibitor 1C (CDKN1C). In the meta-analysis, TNRC9-rs3803662 was significantly associated with increased death hazard (HRMETA =1.09; 95% CI: 1.04-1.15; ptrend = 6.6 × 10(-4) ; HRheterozygotes = 0.96 95% CI: 0.90-1.03; HRhomozygotes = 1.21; 95% CI: 1.09-1.35; p2DF =1.25 × 10(-4) ). In conclusion, we show that there is little overlap between the breast cancer risk single nucleotide polymorphisms (SNPs) identified so far and the SNPs associated with breast cancer prognosis, with the possible exceptions of LSP1-rs3817198 and TNRC9-rs3803662.
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Campbell PT, Deka A, Briggs P, Cicek M, Farris AB, Gaudet MM, Jacobs EJ, Newton CC, Patel AV, Teras LR, Thibodeau SN, Tillmans L, Gapstur SM. Establishment of the cancer prevention study II nutrition cohort colorectal tissue repository. Cancer Epidemiol Biomarkers Prev 2015; 23:2694-702. [PMID: 25472679 DOI: 10.1158/1055-9965.epi-14-0541] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND To better understand colorectal cancer etiology and prognosis, archived surgical tissues were collected from Cancer Prevention Study II (CPS-II) Nutrition Cohort participants who were diagnosed with colorectal cancer. Herein, the methodology for this collection is described to help inform other efforts to collect tissues. METHODS The main components to accruing tissue were: (i) obtaining consent from participants or next-of-kin; (ii) contacting hospitals to request materials; and (iii) pathology review and laboratory processing. RESULTS In CPS-II, we identified 3,643 participants diagnosed with colorectal cancer between 1992/1993 and 2009. Of these, tissue could not be sought from cases verified through state cancer registry linkage (N = 1,622), because of insufficient information on tissue location. We sought tissue from the 2,021 cases verified using medical records, and received tissue from 882. When hospitals were contacted within 10 years of diagnosis, we received 87% of tissue materials; beyond that 10-year mark, we received 32%. Compared with the 2,761 colorectal cancer cases without tissue, the 882 cases with tissue were more likely to be alive, diagnosed more recently during follow-up, and had less-advanced staged disease. Cases with and without tissues were similar with respect to age at diagnosis, smoking, body mass index, physical activity, and other epidemiologic factors. CONCLUSIONS Some of the most important elements in forming a tissue repository included having the cases' hospital contact and surgical accession information as well as contacting patients/next-of-kin and hospitals within 10 years of surgery. IMPACT This tissue repository will serve as an important resource for colorectal cancer studies. See all the articles in this CEBP Focus section, "Biomarkers, Biospecimens, and New Technologies in Molecular Epidemiology." Cancer Epidemiol Biomarkers Prev; 23(12); 2694-702. ©2014 AACR.
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Wang Y, Gapstur SM, Gaudet MM, Furtado JD, Campos H, McCullough ML. Abstract 1872: Plasma carotenoids and breast cancer risk in the Cancer Prevention Study II Nutrition Cohort. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-1872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Several plasma carotenoids have been inversely associated with postmenopausal breast cancer risk in large cohort studies and a pooled analysis. Whether associations differ by tumor or participant characteristics is unclear. We investigated the associations of plasma carotenoids with postmenopausal breast cancer risk overall and by estrogen receptor (ER) status, tumor stage, smoking status and body mass index in a case-control study nested in the Cancer Prevention Study II Nutrition Cohort.
Methods: A total of 561 breast cancer cases diagnosed between blood draw in 1998-2001 and June 30, 2007 and matched 1:1 with controls on race, birth date and blood draw date were included. Multivariable-adjusted conditional and unconditional logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs).
Results: Plasma α-carotene was inversely associated with breast cancer risk even after adjustment for total fruit and vegetable intake (4th vs. 1st quartile OR = 0.58, 95% CI: 0.40, 0.85, P-trend = 0.03). This inverse association was stronger among ever smokers (P-interaction<0.05), and obese women (P-interaction = 0.02), but did not differ by tumor stage (P-heterogeneity = 0.61). Although there was an inverse trend between α-carotene and ER+ (P-trend = 0.01) but not ER- breast cancer (P-trend = 0.99), the test for heterogeneity by ER status was not statistically significant (P-heterogeneity = 0.28). There was some evidence of an inverse association with total carotenoids but this association was nonlinear.
Conclusions: These results suggest that higher plasma α-carotene is associated with lower risk of breast cancer, and this association was even stronger in smokers and obese women.
Citation Format: Ying Wang, Susan M. Gapstur, Mia M. Gaudet, Jeremy D. Furtado, Hannia Campos, Marjorie L. McCullough. Plasma carotenoids and breast cancer risk in the Cancer Prevention Study II Nutrition Cohort. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1872. doi:10.1158/1538-7445.AM2015-1872
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Wentzensen NA, Poole E, Arslan AA, Patel AV, Setiawan VW, Visvanathan K, Weiderpass E, White E, Adami HO, Brinton LA, Bernstein L, Buring J, Butler LM, Chamosa S, Clendenen TV, Dossus L, Fortner R, Gapstur SM, Gaudet MM, Gram IT, Hartge P, Hoffman-Bolton J, Idahl A, Jones M, Kaaks R, Kirsh V, Koh WP, Lacey JV, Lee IM, Lundin E, Merritt M, Peters U, Poynter J, Rinaldi S, Robien K, Rohan T, Sandler DP, Schouten LJ, Sjöholm L, Sieri S, Swerdlow A, Tjønneland A, Trabert B, Wilkens L, Wolk A, Yang HP, Zeleniuch-Jacquotte A, Tworoger SS. Abstract 854: Ovarian cancer risk factors by histologic subtypes: evidence for etiologic heterogeneity. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: A subset of high grade serous carcinomas may arise from the fallopian tube, while some endometrioid and clear cell carcinomas may derive from endometrial tissue. Previous studies have suggested differences in ovarian cancer risk factors by histologic subtypes, but had limited sample sizes. In the Ovarian Cancer Cohort Consortium (OC3), we evaluated associations of reproductive, hormonal, demographic and lifestyle factors, and family history of cancer with ovarian cancer subtypes. Identification of potential differences in associations among subtypes is important for clarifying ovarian cancer etiology and for developing novel prevention and risk prediction approaches.
Methods: Among over 1.2 million women from 21 cohort studies, 4,347 ovarian cancers with histology information were identified during follow-up (3223 serous, 555 endometrioid, 316 mucinous, 253 clear cell). We used competing risks Cox proportional hazards regression to compute risk factor associations by histologic subtype. Models were stratified on study and year of birth and adjusted for age, parity and oral contraceptive use; subtype heterogeneity was evaluated by a likelihood ratio test. Unsupervised hierarchical clustering was used to evaluate patterns of risk factors by histology.
Results: Most risk factors showed significant heterogeneity across histologic subtypes. Higher parity was most strongly associated with lower risks of endometrioid (RR per child: 0.79; 95%CI: 0.74-0.85) and clear cell (RR: 0.69; 95%CI: 0.61-0.78) carcinomas (p-het<0.0001). Age at menopause was positively and tubal ligation was inversely associated only with endometrioid and clear cell carcinomas (p-het = 0.02 and 0.003, respectively). Long-term menopausal hormone use (>5 years) was associated with endometrioid carcinomas (RR: 2.23; 95% CI: 1.46-3.42) and serous carcinomas (RR: 1.66; 95% CI: 1.44-1.92), and inversely associated with clear cell carcinomas (RR: 0.43; 95% CI: 0.20-0.91; p-het = 0.001). Family history of breast cancer was associated with increased risk of serous carcinomas (RR:1.13; 95% CI:1.02-1.27) and endometrioid carcinomas (RR: 1.44; 95% CI: 1.12-1.87; p-het = 0.02). Smoking (per 20 pack years) showed a positive association with mucinous carcinomas (RR: 1.38; 95% CI: 1.09-1.75) and an inverse association with clear cell carcinomas (RR:0.62; 95% CI: 0.46-0.85; p-het = 0.001). In unsupervised hierarchical clustering, serous and mucinous carcinomas clustered in one group and endometrioid and clear cell carcinomas in the other.
Conclusion: Our results demonstrate heterogeneous associations of risk factors with ovarian cancer subtypes, supporting the hypothesis that the subtypes develop through different pathways. Most established risk factors were more strongly associated with non-serous carcinomas, suggesting that risk prediction may be more challenging for serous cancers, the most fatal subtype.
Citation Format: Nicolas A. Wentzensen, Elizabeth Poole, Alan A. Arslan, Alpa V. Patel, V Wendy Setiawan, Kala Visvanathan, Elisabete Weiderpass, Emily White, Hans-Olov Adami, Louise A. Brinton, Leslie Bernstein, Julie Buring, Lesley M. Butler, Saioa Chamosa, Tess V. Clendenen, Laure Dossus, Renee Fortner, Susan M. Gapstur, Mia M. Gaudet, Inger Torhild Gram, Patricia Hartge, Judith Hoffman-Bolton, Annika Idahl, Michael Jones, Rudolf Kaaks, Vivki Kirsh, Woon-Puay Koh, James V. Lacey, I-Min Lee, Eva Lundin, Melissa Merritt, Ulrike Peters, Jenny Poynter, Sabina Rinaldi, Kim Robien, Thomas Rohan, Dale P. Sandler, Leo J. Schouten, Louise Sjöholm, Sabina Sieri, Anthony Swerdlow, Anne Tjønneland, Britton Trabert, Lynne Wilkens, Alicja Wolk, Hannah P. Yang, Anne Zeleniuch-Jacquotte, Shelley S. Tworoger. Ovarian cancer risk factors by histologic subtypes: evidence for etiologic heterogeneity. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 854. doi:10.1158/1538-7445.AM2015-854
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Stevens VL, Jacobs EJ, Patel AV, Sun J, McCullough ML, Campbell PT, Gapstur SM. Weight cycling and cancer incidence in a large prospective US cohort. Am J Epidemiol 2015. [PMID: 26209523 DOI: 10.1093/aje/kwv073] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Weight cycling, which consists of repeated cycles of intentional weight loss and regain, is common among individuals who try to lose weight. Some evidence suggests that weight cycling may affect biological processes that could contribute to carcinogenesis, but whether it is associated with cancer risk is unclear. Using 62,792 men and 69,520 women enrolled in the Cancer Prevention Study II Nutrition Cohort in 1992, we examined the association between weight cycling and cancer incidence. Weight cycles were defined by using baseline questions that asked the number of times ≥10 pounds (4.54 kg) was purposely lost and later regained. Multivariable-adjusted hazard ratios and 95% confidence intervals for all cancer and 15 individual cancers were estimated by using Cox proportional hazards regression. During up to 17 years of follow-up, 15,333 men and 9,984 women developed cancer. Weight cycling was not associated with overall risk of cancer in men (hazard ratio = 0.96, 95% confidence interval: 0.83, 1.11 for ≥20 cycles vs. no weight cycles) or women (hazard ratio = 0.96, 95% confidence interval: 0.86, 1.08) in models that adjusted for body mass index and other covariates. Weight cycling was also not associated with any individual cancer investigated. These results suggest that weight cycling, independent of body weight, is unlikely to influence subsequent cancer risk.
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Key TJ, Appleby PN, Reeves GK, Travis RC, Brinton LA, Helzlsouer KJ, Dorgan JF, Gapstur SM, Gaudet MM, Kaaks R, Riboli E, Rinaldi S, Manjer J, Hallmans G, Giles GG, Le Marchand L, Kolonel LN, Henderson BE, Tworoger SS, Hankinson SE, Zeleniuch-Jacquotte A, Koenig K, Krogh V, Sieri S, Muti P, Ziegler RG, Schairer C, Fuhrman BJ, Barrett-Connor E, Laughlin GA, Grant EJ, Cologne J, Ohishi W, Hida A, Cauley JA, Fourkala EO, Menon U, Rohan TE, Strickler HD, Gunter MJ. Steroid hormone measurements from different types of assays in relation to body mass index and breast cancer risk in postmenopausal women: Reanalysis of eighteen prospective studies. Steroids 2015; 99:49-55. [PMID: 25304359 PMCID: PMC4502556 DOI: 10.1016/j.steroids.2014.09.001] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2014] [Accepted: 08/22/2014] [Indexed: 12/20/2022]
Abstract
Epidemiological studies have examined breast cancer risk in relation to sex hormone concentrations measured by different methods: "extraction" immunoassays (with prior purification by organic solvent extraction, with or without column chromatography), "direct" immunoassays (no prior extraction or column chromatography), and more recently with mass spectrometry-based assays. We describe the associations of estradiol, estrone and testosterone with both body mass index and breast cancer risk in postmenopausal women according to assay method, using data from a collaborative pooled analysis of 18 prospective studies. In general, hormone concentrations were highest in studies that used direct assays and lowest in studies that used mass spectrometry-based assays. Estradiol and estrone were strongly positively associated with body mass index, regardless of the assay method; testosterone was positively associated with body mass index for direct assays, but less clearly for extraction assays, and there were few data for mass spectrometry assays. The correlations of estradiol with body mass index, estrone and testosterone were lower for direct assays than for extraction and mass spectrometry assays, suggesting that the estimates from the direct assays were less precise. For breast cancer risk, all three hormones were strongly positively associated with risk regardless of assay method (except for testosterone by mass spectrometry where there were few data), with no statistically significant differences in the trends, but differences may emerge as new data accumulate. Future epidemiological and clinical research studies should continue to use the most accurate assays that are feasible within the design characteristics of each study.
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Teras LR, Gaudet MM, Blase JL, Gapstur SM. Parental Age at Birth and Risk of Hematological Malignancies in Older Adults. Am J Epidemiol 2015; 182:41-8. [PMID: 25964260 DOI: 10.1093/aje/kwu487] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2014] [Accepted: 12/29/2014] [Indexed: 01/15/2023] Open
Abstract
The proportion of parents aged ≥35 years at the birth of their child continues to increase, but long-term health consequences for these children are not fully understood. A recent prospective study of 110,999 adult women showed an association between paternal-but not maternal-age at birth and sporadic hematological cancer risk. To further investigate this topic, we examined these associations in women and men in the American Cancer Society Cancer Prevention Study-II Nutrition Cohort. Among 138,003 Cancer Prevention Study-II participants, 2,532 incident hematological cancers were identified between 1992 and 2009. Multivariable-adjusted hazard ratios and 95% confidence intervals were computed by using Cox proportional hazards regression. There was no clear linear trend in the risk of hematological malignancies by either paternal or maternal age. However, there was a strong, positive association with paternal age among participants without siblings. In that group, the hazard ratio for fathers aged ≥35 years compared with <25 years at birth was 1.63 (95% confidence interval: 1.19, 2.23), and a linear dose-response association was suggested (Pspline = 0.002).There were no differences by subtype of hematological cancer. Results of this study support the need for further research to better understand the association between paternal age at birth and hematological malignancies.
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Jacobs EJ, Newton CC, Stevens VL, Campbell PT, Freedland SJ, Gapstur SM. Reply to M. Lee et al. J Clin Oncol 2015; 33:2226-7. [PMID: 25847928 DOI: 10.1200/jco.2015.60.8406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Patel AV, Hildebrand JS, Campbell PT, Teras LR, Craft LL, McCullough ML, Gapstur SM. Leisure-Time Spent Sitting and Site-Specific Cancer Incidence in a Large U.S. Cohort. Cancer Epidemiol Biomarkers Prev 2015; 24:1350-9. [DOI: 10.1158/1055-9965.epi-15-0237] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 06/21/2015] [Indexed: 11/16/2022] Open
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Wang Y, Gapstur SM, Gaudet MM, Furtado JD, Campos H, McCullough ML. Plasma carotenoids and breast cancer risk in the Cancer Prevention Study II Nutrition Cohort. Cancer Causes Control 2015; 26:1233-44. [DOI: 10.1007/s10552-015-0614-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Accepted: 06/06/2015] [Indexed: 12/22/2022]
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Campa D, Barrdahl M, Gaudet MM, Black A, Chanock SJ, Diver WR, Gapstur SM, Haiman C, Hankinson S, Hazra A, Henderson B, Hoover RN, Hunter DJ, Joshi AD, Kraft P, Le Marchand L, Lindström S, Willett W, Travis RC, Amiano P, Siddiq A, Trichopoulos D, Sund M, Tjønneland A, Weiderpass E, Peeters PH, Panico S, Dossus L, Ziegler RG, Canzian F, Kaaks R. Genetic risk variants associated with in situ breast cancer. Breast Cancer Res 2015; 17:82. [PMID: 26070784 PMCID: PMC4487950 DOI: 10.1186/s13058-015-0596-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Accepted: 06/04/2015] [Indexed: 12/29/2022] Open
Abstract
INTRODUCTION Breast cancer in situ (BCIS) diagnoses, a precursor lesion for invasive breast cancer, comprise about 20 % of all breast cancers (BC) in countries with screening programs. Family history of BC is considered one of the strongest risk factors for BCIS. METHODS To evaluate the association of BC susceptibility loci with BCIS risk, we genotyped 39 single nucleotide polymorphisms (SNPs), associated with risk of invasive BC, in 1317 BCIS cases, 10,645 invasive BC cases, and 14,006 healthy controls in the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium (BPC3). Using unconditional logistic regression models adjusted for age and study, we estimated the association of SNPs with BCIS using two different comparison groups: healthy controls and invasive BC subjects to investigate whether BCIS and BC share a common genetic profile. RESULTS We found that five SNPs (CDKN2BAS-rs1011970, FGFR2-rs3750817, FGFR2-rs2981582, TNRC9-rs3803662, 5p12-rs10941679) were significantly associated with BCIS risk (P value adjusted for multiple comparisons <0.0016). Comparing invasive BC and BCIS, the largest difference was for CDKN2BAS-rs1011970, which showed a positive association with BCIS (OR = 1.24, 95 % CI: 1.11-1.38, P = 1.27 x 10(-4)) and no association with invasive BC (OR = 1.03, 95 % CI: 0.99-1.07, P = 0.06), with a P value for case-case comparison of 0.006. Subgroup analyses investigating associations with ductal carcinoma in situ (DCIS) found similar associations, albeit less significant (OR = 1.25, 95 % CI: 1.09-1.42, P = 1.07 x 10(-3)). Additional risk analyses showed significant associations with invasive disease at the 0.05 level for 28 of the alleles and the OR estimates were consistent with those reported by other studies. CONCLUSIONS Our study adds to the knowledge that several of the known BC susceptibility loci are risk factors for both BCIS and invasive BC, with the possible exception of rs1011970, a putatively functional SNP situated in the CDKN2BAS gene that may be a specific BCIS susceptibility locus.
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Gaudet MM, Kitahara CM, Newton CC, Bernstein L, Reynolds P, Weiderpass E, Kreimer AR, Yang G, Adami HO, Alavanja MC, Beane Freeman LE, Boeing H, Buring J, Chaturvedi A, Chen Y, D'Aloisio AA, Freedman M, Gao YT, Gaziano JM, Giles GG, Håkansson N, Huang WY, Lee IM, Linet MS, MacInnis RJ, Park Y, Prizment A, Purdue MP, Riboli E, Robien K, Sandler DP, Schairer C, Sesso HD, Ou Shu X, White E, Wolk A, Xiang YB, Zelenuich-Jacquotte A, Zheng W, Patel AV, Hartge P, Berrington de González A, Gapstur SM. Anthropometry and head and neck cancer:a pooled analysis of cohort data. Int J Epidemiol 2015; 44:673-81. [PMID: 26050257 DOI: 10.1093/ije/dyv059] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2015] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Associations between anthropometry and head and neck cancer (HNC) risk are inconsistent. We aimed to evaluate these associations while minimizing biases found in previous studies. METHODS We pooled data from 1,941,300 participants, including 3760 cases, in 20 cohort studies and used multivariable-adjusted Cox proportional hazard regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association of anthropometric measures with HNC risk overall and stratified by smoking status. RESULTS Greater waist circumference (per 5 cm: HR = 1.04, 95% CI 1.03-1.05, P-value for trend = <0.0001) and waist-to-hip ratio (per 0.1 unit: HR = 1.07, 95% CI 1.05-1.09, P-value for trend = <0.0001), adjusted for body mass index (BMI), were associated with higher risk and did not vary by smoking status (P-value for heterogeneity = 0.85 and 0.44, respectively). Associations with BMI (P-value for interaction = <0.0001) varied by smoking status. Larger BMI was associated with higher HNC risk in never smokers (per 5 kg/m(2): HR = 1.15, 95% CI 1.06-1.24, P-value for trend = 0.0006), but not in former smokers (per 5 kg/m(2): HR = 0.99, 95% CI 0.93-1.06, P-value for trend = 0.79) or current smokers (per 5 kg/m(2): HR = 0.76, 95% CI 0.71-0.82, P-value for trend = <0.0001). Larger hip circumference was not associated with a higher HNC risk. Greater height (per 5 cm) was associated with higher risk of HNC in never and former smokers, but not in current smokers. CONCLUSIONS Waist circumference and waist-to-hip ratio were associated positively with HNC risk regardless of smoking status, whereas a positive association with BMI was only found in never smokers.
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Barreira TV, Hamilton MT, Craft LL, Gapstur SM, Siddique J, Zderic TW. Intra-individual and inter-individual variability in daily sitting time and MVPA. J Sci Med Sport 2015; 19:476-81. [PMID: 26050625 DOI: 10.1016/j.jsams.2015.05.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Revised: 04/16/2015] [Accepted: 05/16/2015] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Little is known about how much variability exists in free-living sitting time within individuals. The purpose of this study was to examine intra-individual variability of objectively determined daily sitting time and to determine if this variability was related to weekly averages of sitting duration or recommended moderate-vigorous physical activity (MVPA). Also, this study determined the reliability of free-living sitting and MVPA time as it useful for guiding researchers in determining how many days of monitoring are needed. DESIGN An activPAL monitor was worn for 7 consecutive days by 68 women (52±8 years). METHODS Intra-individual range of daily sitting time was calculated. Generalizability theory analysis determined the reliability of daily sitting and recommended MVPA. RESULTS Mean sitting time was 9.0±1.8h/day and the within individual weekly mean range was 4.5±1.7h/day. Similarly, there was a 4.5h/day difference in sitting time between the mean of the lowest sitting (6.7±0.8) and highest sitting (11.3±1.1h/day) quartiles. The intra-individual range in daily sitting did not differ among quartiles of sitting time (i.e., 4.9±1.9, 4.1±1.9, 5.1±1.5, 3.9±1.1h/day for the 1st-4th quartiles) nor among quartiles of MVPA (i.e., 4.2±1.8, 4.7±2.0, 4.6±1.5, 4.4±1.3h/day for the 1st-4th quartiles). A reliability coefficient of 0.80 was achieved with 4 days of objectively measured sitting time and 7 days for MVPA. CONCLUSIONS The findings suggest exposure to relatively high levels of sedentary time may occur in people regardless of weekly averages in sitting and regular exercise due to the high day-to-day variation in daily sitting time (4.5h/d range within a week).
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Wang Z, Rajaraman P, Melin BS, Chung CC, Zhang W, McKean-Cowdin R, Michaud D, Yeager M, Ahlbom A, Albanes D, Andersson U, Freeman LEB, Buring JE, Butler MA, Carreón T, Feychting M, Gapstur SM, Gaziano JM, Giles GG, Hallmans G, Henriksson R, Hoffman-Bolton J, Inskip PD, Kitahara CM, Marchand LL, Linet MS, Li S, Peters U, Purdue MP, Rothman N, Ruder AM, Sesso HD, Severi G, Stampfer M, Stevens VL, Visvanathan K, Wang SS, White E, Zeleniuch-Jacquotte A, Hoover R, Fraumeni JF, Chatterjee N, Hartge P, Chanock SJ. Further Confirmation of Germline Glioma Risk Variant rs78378222 in TP53 and Its Implication in Tumor Tissues via Integrative Analysis of TCGA Data. Hum Mutat 2015; 36:684-8. [PMID: 25907361 DOI: 10.1002/humu.22799] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 04/08/2015] [Indexed: 01/06/2023]
Abstract
We confirmed strong association of rs78378222:A>C (per allele odds ratio [OR] = 3.14; P = 6.48 × 10(-11) ), a germline rare single-nucleotide polymorphism (SNP) in TP53, via imputation of a genome-wide association study of glioma (1,856 cases and 4,955 controls). We subsequently performed integrative analyses on the Cancer Genome Atlas (TCGA) data for GBM (glioblastoma multiforme) and LUAD (lung adenocarcinoma). Based on SNP data, we imputed genotypes for rs78378222 and selected individuals carrying rare risk allele (C). Using RNA sequencing data, we observed aberrant transcripts with ∼3 kb longer than normal for those individuals. Using exome sequencing data, we further showed that loss of haplotype carrying common protective allele (A) occurred somatically in GBM but not in LUAD. Our bioinformatic analysis suggests rare risk allele (C) disrupts mRNA termination, and an allelic loss of a genomic region harboring common protective allele (A) occurs during tumor initiation or progression for glioma.
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Berndt SI, Wang Z, Yeager M, Alavanja MC, Albanes D, Amundadottir L, Andriole G, Beane Freeman L, Campa D, Cancel-Tassin G, Canzian F, Cornu JN, Cussenot O, Diver WR, Gapstur SM, Grönberg H, Haiman CA, Henderson B, Hutchinson A, Hunter DJ, Key TJ, Kolb S, Koutros S, Kraft P, Le Marchand L, Lindström S, Machiela MJ, Ostrander EA, Riboli E, Schumacher F, Siddiq A, Stanford JL, Stevens VL, Travis RC, Tsilidis KK, Virtamo J, Weinstein S, Wilkund F, Xu J, Lilly Zheng S, Yu K, Wheeler W, Zhang H, Sampson J, Black A, Jacobs K, Hoover RN, Tucker M, Chanock SJ. Two susceptibility loci identified for prostate cancer aggressiveness. Nat Commun 2015; 6:6889. [PMID: 25939597 PMCID: PMC4422072 DOI: 10.1038/ncomms7889] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 03/10/2015] [Indexed: 01/06/2023] Open
Abstract
Most men diagnosed with prostate cancer will experience indolent disease; hence, discovering genetic variants that distinguish aggressive from nonaggressive prostate cancer is of critical clinical importance for disease prevention and treatment. In a multistage, case-only genome-wide association study of 12,518 prostate cancer cases, we identify two loci associated with Gleason score, a pathological measure of disease aggressiveness: rs35148638 at 5q14.3 (RASA1, P=6.49 × 10(-9)) and rs78943174 at 3q26.31 (NAALADL2, P=4.18 × 10(-8)). In a stratified case-control analysis, the SNP at 5q14.3 appears specific for aggressive prostate cancer (P=8.85 × 10(-5)) with no association for nonaggressive prostate cancer compared with controls (P=0.57). The proximity of these loci to genes involved in vascular disease suggests potential biological mechanisms worthy of further investigation.
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Guo Q, Schmidt MK, Kraft P, Canisius S, Chen C, Khan S, Tyrer J, Bolla MK, Wang Q, Dennis J, Michailidou K, Lush M, Kar S, Beesley J, Dunning AM, Shah M, Czene K, Darabi H, Eriksson M, Lambrechts D, Weltens C, Leunen K, Bojesen SE, Nordestgaard BG, Nielsen SF, Flyger H, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Blomqvist C, Aittomäki K, Fagerholm R, Muranen TA, Couch FJ, Olson JE, Vachon C, Andrulis IL, Knight JA, Glendon G, Mulligan AM, Broeks A, Hogervorst FB, Haiman CA, Henderson BE, Schumacher F, Le Marchand L, Hopper JL, Tsimiklis H, Apicella C, Southey MC, Cox A, Cross SS, Reed MWR, Giles GG, Milne RL, McLean C, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Hooning MJ, Hollestelle A, Martens JWM, van den Ouweland AMW, Marme F, Schneeweiss A, Yang R, Burwinkel B, Figueroa J, Chanock SJ, Lissowska J, Sawyer EJ, Tomlinson I, Kerin MJ, Miller N, Brenner H, Dieffenbach AK, Arndt V, Holleczek B, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Li J, Brand JS, Humphreys K, Devilee P, Tollenaar RAEM, Seynaeve C, Radice P, Peterlongo P, Bonanni B, Mariani P, Fasching PA, Beckmann MW, Hein A, Ekici AB, Chenevix-Trench G, Balleine R, Phillips KA, Benitez J, Zamora MP, Arias Perez JI, Menéndez P, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Hamann U, Kabisch M, Ulmer HU, Rüdiger T, Margolin S, Kristensen V, Nord S, Evans DG, Abraham JE, Earl HM, Hiller L, Dunn JA, Bowden S, Berg C, Campa D, Diver WR, Gapstur SM, Gaudet MM, Hankinson SE, Hoover RN, Hüsing A, Kaaks R, Machiela MJ, Willett W, Barrdahl M, Canzian F, Chin SF, Caldas C, Hunter DJ, Lindstrom S, García-Closas M, Hall P, Easton DF, Eccles DM, Rahman N, Nevanlinna H, Pharoah PDP. Identification of novel genetic markers of breast cancer survival. J Natl Cancer Inst 2015; 107:djv081. [PMID: 25890600 PMCID: PMC4555642 DOI: 10.1093/jnci/djv081] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Revised: 12/20/2014] [Accepted: 02/26/2015] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Survival after a diagnosis of breast cancer varies considerably between patients, and some of this variation may be because of germline genetic variation. We aimed to identify genetic markers associated with breast cancer-specific survival. METHODS We conducted a large meta-analysis of studies in populations of European ancestry, including 37954 patients with 2900 deaths from breast cancer. Each study had been genotyped for between 200000 and 900000 single nucleotide polymorphisms (SNPs) across the genome; genotypes for nine million common variants were imputed using a common reference panel from the 1000 Genomes Project. We also carried out subtype-specific analyses based on 6881 estrogen receptor (ER)-negative patients (920 events) and 23059 ER-positive patients (1333 events). All statistical tests were two-sided. RESULTS We identified one new locus (rs2059614 at 11q24.2) associated with survival in ER-negative breast cancer cases (hazard ratio [HR] = 1.95, 95% confidence interval [CI] = 1.55 to 2.47, P = 1.91 x 10(-8)). Genotyping a subset of 2113 case patients, of which 300 were ER negative, provided supporting evidence for the quality of the imputation. The association in this set of case patients was stronger for the observed genotypes than for the imputed genotypes. A second locus (rs148760487 at 2q24.2) was associated at genome-wide statistical significance in initial analyses; the association was similar in ER-positive and ER-negative case patients. Here the results of genotyping suggested that the finding was less robust. CONCLUSIONS This is currently the largest study investigating genetic variation associated with breast cancer survival. Our results have potential clinical implications, as they confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors.
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