Dataset Information

The Premenopausal Breast Cancer Collaboration: A Pooling Project of Studies Participating in the National Cancer Institute Cohort Consortium.

ABSTRACT: Breast cancer is a leading cancer diagnosis among premenopausal women around the world. Unlike rates in postmenopausal women, incidence rates of advanced breast cancer have increased in recent decades for premenopausal women. Progress in identifying contributors to breast cancer risk among premenopausal women has been constrained by the limited numbers of premenopausal breast cancer cases in individual studies and resulting low statistical power to subcategorize exposures or to study specific subtypes. The Premenopausal Breast Cancer Collaborative Group was established to facilitate cohort-based analyses of risk factors for premenopausal breast cancer by pooling individual-level data from studies participating in the United States National Cancer Institute Cohort Consortium. This article describes the Group, including the rationale for its initial aims related to pregnancy, obesity, and physical activity. We also describe the 20 cohort studies with data submitted to the Group by June 2016. The infrastructure developed for this work can be leveraged to support additional investigations. Cancer Epidemiol Biomarkers Prev; 26(9); 1360-9. ©2017 AACR.

SUBMITTER: Nichols HB

PROVIDER: S-EPMC5581673 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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The Premenopausal Breast Cancer Collaboration: A Pooling Project of Studies Participating in the National Cancer Institute Cohort Consortium.

Nichols Hazel B HB Schoemaker Minouk J MJ Wright Lauren B LB McGowan Craig C Brook Mark N MN McClain Kathleen M KM Jones Michael E ME Adami Hans-Olov HO Agnoli Claudia C Baglietto Laura L Bernstein Leslie L Bertrand Kimberly A KA Blot William J WJ Boutron-Ruault Marie-Christine MC Butler Lesley L Chen Yu Y Doody Michele M MM Dossus Laure L Eliassen A Heather AH Giles Graham G GG Gram Inger T IT Hankinson Susan E SE Hoffman-Bolton Judy J Kaaks Rudolf R Key Timothy J TJ Kirsh Victoria A VA Kitahara Cari M CM Koh Woon-Puay WP Larsson Susanna C SC Lund Eiliv E Ma Huiyan H Merritt Melissa A MA Milne Roger L RL Navarro Carmen C Overvad Kim K Ozasa Kotaro K Palmer Julie R JR Peeters Petra H PH Riboli Elio E Rohan Thomas E TE Sadakane Atsuko A Sund Malin M Tamimi Rulla M RM Trichopoulou Antonia A Vatten Lars L Visvanathan Kala K Weiderpass Elisabete E Willett Walter C WC Wolk Alicja A Zeleniuch-Jacquotte Anne A Zheng Wei W Sandler Dale P DP Swerdlow Anthony J AJ

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20170609 9

Breast cancer is a leading cancer diagnosis among premenopausal women around the world. Unlike rates in postmenopausal women, incidence rates of advanced breast cancer have increased in recent decades for premenopausal women. Progress in identifying contributors to breast cancer risk among premenopausal women has been constrained by the limited numbers of premenopausal breast cancer cases in individual studies and resulting low statistical power to subcategorize exposures or to study specific su ...[more]

PMID: 28600297

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Project description:Women in the U.S. Commonwealth of Puerto Rico (PR) have a higher age-adjusted incidence rate for uterine cervix cancer than the U.S. mainland as well as substantial access and economic barriers to cancer care. The National Cancer Institute (NCI) funds a Minority/Underserved NCI Community Oncology Research Program in PR (PRNCORP) as part of a national network of community-based health-care systems to conduct multisite cancer clinical trials in diverse populations. Participation by the PRNCORP in NCI's uterine cervix cancer clinical trials, however, has remained limited. This study reports on the findings of an NCI site visit in PR to assess barriers impeding site activation and accrual to its sponsored gynecologic cancer clinical trials. Qualitative, semi-structured individual, and group interviews were conducted at six PRNCORP-affiliated locations to ascertain: long-term trial accrual objectives; key stakeholders in PR that address uterine cervix cancer care; key challenges or barriers to activating and to enrolling patients in NCI uterine cervix cancer treatment trials; and resources, policies, or procedures in place or needed on the island to support NCI-sponsored clinical trials. An NCI-sponsored uterine cervix cancer radiation-chemotherapy intervention clinical trial (NCT02466971), already activated on the island, served as a test case to identify relevant patient accrual and site barriers. The site visit identified five key barriers to accrual: (1) lack of central personnel to coordinate referrals for treatment plans, medical tests, and medical imaging across the island's clinical trial access points; (2) patient insurance coverage; (3) lack of a coordinated brachytherapy schedule at San Juan-centric service providers; (4) limited credentialed radiotherapy machines island-wide; and (5) too few radiology medical physicists tasked to credential trial-specified positron emission tomography scanners island-wide. PR offers a unique opportunity to study overarching and tactical strategies for improving accrual to NCI-sponsored gynecologic cancer clinical trials. Interview findings support adding and re-tasking personnel for coordinated trial-eligible patient referral, accrual, and treatment.

Project description:BackgroundScreening and diagnosis of prostate cancer (PCa) is hampered by an inability to predict who has the potential to develop fatal disease and who has indolent cancer. Studies have identified multiple genetic risk loci for PCa incidence, but it is unknown whether they could be used as biomarkers for PCa-specific mortality (PCSM).ObjectiveTo examine the association of 47 established PCa risk single-nucleotide polymorphisms (SNPs) with PCSM.Design, setting, and participantsWe included 10 487 men who had PCa and 11 024 controls, with a median follow-up of 8.3 yr, during which 1053 PCa deaths occurred.Outcome measurements and statistical analysisThe main outcome was PCSM. The risk allele was defined as the allele associated with an increased risk for PCa in the literature. We used Cox proportional hazards regression to calculate the hazard ratios of each SNP with time to progression to PCSM after diagnosis. We also used logistic regression to calculate odds ratios for each risk SNP, comparing fatal PCa cases to controls.Results and limitationsAmong the cases, we found that 8 of the 47 SNPs were significantly associated (p<0.05) with time to PCSM. The risk allele of rs11672691 (intergenic) was associated with an increased risk for PCSM, while 7 SNPs had risk alleles inversely associated (rs13385191 [C2orf43], rs17021918 [PDLIM5], rs10486567 [JAZF1], rs6465657 [LMTK2], rs7127900 (intergenic), rs2735839 [KLK3], rs10993994 [MSMB], rs13385191 [C2orf43]). In the case-control analysis, 22 SNPs were associated (p<0.05) with the risk of fatal PCa, but most did not differentiate between fatal and nonfatal PCa. Rs11672691 and rs10993994 were associated with both fatal and nonfatal PCa, while rs6465657, rs7127900, rs2735839, and rs13385191 were associated with nonfatal PCa only.ConclusionsEight established risk loci were associated with progression to PCSM after diagnosis. Twenty-two SNPs were associated with fatal PCa incidence, but most did not differentiate between fatal and nonfatal PCa. The relatively small magnitudes of the associations do not translate well into risk prediction, but these findings merit further follow-up, because they may yield important clues about the complex biology of fatal PCa.Patient summaryIn this report, we assessed whether established PCa risk variants could predict PCSM. We found eight risk variants associated with PCSM: One predicted an increased risk of PCSM, while seven were associated with decreased risk. Larger studies that focus on fatal PCa are needed to identify more markers that could aid prediction.

Project description:OBJECTIVE:Cross-sectional data indicate that systemic inflammation is important in oesophageal adenocarcinoma. We conducted a prospective study to assess whether prediagnostic circulating markers of inflammation were associated with oesophageal adenocarcinoma and to what extent they mediated associations of obesity and cigarette smoking with cancer risk. DESIGN:This nested case-control study included 296 oesophageal adenocarcinoma cases and 296 incidence density matched controls from seven prospective cohort studies. We quantitated 69 circulating inflammation markers using Luminex-based multiplex assays. Conditional logistic regression models estimated associations between inflammation markers and oesophageal adenocarcinoma, as well as direct and indirect effects of obesity and smoking on risk of malignancy. RESULTS:Soluble tumour necrosis factor receptor 2 (sTNFR2) (ORsquartile 4 vs 1=2.67, 95% CI 1.52 to 4.68) was significantly associated with oesophageal adenocarcinoma. Additional markers close to the adjusted significance threshold included C reactive protein, serum amyloid A, lipocalin-2, resistin, interleukin (IL) 3, IL17A, soluble IL-6 receptor and soluble vascular endothelial growth factor receptor 3. Adjustment for body mass index, waist circumference or smoking status slightly attenuated biomarker-cancer associations. Mediation analysis indicated that sTNFR2 may account for 33% (p=0.005) of the effect of waist circumference on oesophageal adenocarcinoma risk. Resistin, plasminogen activator inhibitor 1, C reactive protein and serum amyloid A were also identified as potential mediators of obesity-oesophageal adenocarcinoma associations. For smoking status, only plasminogen activator inhibitor 1 was a nominally statistically significant (p<0.05) mediator of cancer risk. CONCLUSION:This prospective study provides evidence of a link between systemic inflammation and oesophageal adenocarcinoma risk. In addition, this study provides the first evidence that indirect effects of excess adiposity and cigarette smoking, via systemic inflammation, increase the risk of oesophageal adenocarcinoma.

Project description:BACKGROUND:In neuroscience clinical research studies, much time and effort are devoted to deciding what data to collect and developing data collection forms and data management systems to capture the data. Many investigators receiving funding from National Institute of Neurological Disorders and Stroke (NINDS), the National Institutes of Health (NIH), are required to share their data once their studies are complete, but the multitude of data definitions and formats make it extremely difficult to aggregate data or perform meta-analyses across studies. PURPOSE:In an effort to assist investigators and accelerate data sharing in neuroscience clinical research, the NINDS has embarked upon the Common Data Element (CDE) Project. The data standards developed through the NINDS CDE Project enable clinical investigators to systematically collect data and should facilitate study start-up and data aggregation across the research community. METHODS:The NINDS CDE Team has taken a systematic, iterative approach to develop the critical core and the disease-specific CDEs. The CDE development process provides a mechanism for community involvement and buy-in, offers a structure for decision making, and includes a technical support team. RESULTS:Upon conclusion of the development process, the CDEs and accompanying tools are available on the Project Web site - http://www.commondataelements.ninds.nih.gov/. The Web site currently includes the critical core (aka general) CDEs that are applicable to all clinical research studies regardless of therapeutic area as well as several disease-specific CDEs. Additional disease-specific CDEs will be added to the Web site once they are developed and vetted over the next 12 months. LIMITATIONS:The CDEs will continue to evolve and will improve only if clinical researchers use and offer feedback about their experience with them. Thus, the NINDS program staff strongly encourages its clinical research grantees to use the CDEs and is expanding its efforts to educate the neuroscience research community about the CDEs and to train research teams to incorporate them into their studies. CONCLUSIONS:Version 1.0 of a set of CDEs has been published, but publication is not the end of the development process. All CDEs will be evaluated and revised at least annually to ensure that they reflect current clinical research practices in neuroscience.

Dataset Information

The Premenopausal Breast Cancer Collaboration: A Pooling Project of Studies Participating in the National Cancer Institute Cohort Consortium.

Publications

The Premenopausal Breast Cancer Collaboration: A Pooling Project of Studies Participating in the National Cancer Institute Cohort Consortium.

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