Annual Meeting of the NCI Cohort Consortium (Abstract Submission)

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# Created User IP address Presenter's First Name: Presenter's Last Name: Title (eg: professor, assistant professor, chair, etc): Degree(s) Contact Email: Organization: Project Title: Additional Authors Abstract: Operations
13 Fri, 09/05/2025 - 16:53 Anonymous 10.208.24.102 Reuben Frost MMath reuben.frost@icr.ac.uk The Institute of Cancer Research Adding serum hormone measurement to improve the Tyrer-Cuzick breast cancer risk model in postmenopausal women
  1. First Name: Tahania
    Last Name: Ahmad
    Degree(s): Ph.D.
    Organization: Queen Mary University of London
  2. First Name: Anne
    Last Name: MacGregor
    Degree(s): M.D.
    Organization: Queen Mary University of London
  3. First Name: Heather
    Last Name: Eliassen
    Degree(s): Sc.D.
  4. First Name: Susan
    Middle Initial: E
    Last Name: Hankinson
    Degree(s): Sc.D.
  5. First Name: Roger
    Middle Initial: L
    Last Name: Milne
    Degree(s): Ph.D.
    Organization: Cancer Council Victoria
  6. First Name: Celine
    Middle Initial: M
    Last Name: Vachon
    Degree(s): Ph.D.
  7. First Name: Amy
    Last Name: Berrington
    Degree(s): Ph.D.
    Organization: The Institute of Cancer Research
  8. First Name: Adam
    Last Name: Brentnall
    Degree(s): Ph.D.
    Organization: Queen Mary University of London
  9. First Name: Jack
    Last Name: Cuzick
    Degree(s): Ph.D.
    Organization: Queen Mary University of London
  10. First Name: Judith
    Last Name: Offman
    Degree(s): Ph.D.
    Organization: Queen Mary University of London
  11. First Name: Montserrat
    Last Name: García-Closas
    Degree(s): M.D.
    Organization: The Institute of Cancer Research
 Introduction: The primary objective is to evaluate the potential of incorporating the ratio of serum estradiol (E2) and sex hormone binding globulin (SHBG) into breast cancer risk assessments using the Tyrer-Cuzick (T-C) breast cancer risk prediction model. Currently there is limited research on their integration in individual risk assessments.

Methods: E2/SHBG levels will be added to the current T-C model, using a two-stage process applied to data from 2,666 cases (invasive breast cancers) and 4,512 non-cases from three nested case-control studies and one case-cohort study, all part of the B2RISK consortium to:
(1) develop a statistical model to explain variation in E2 and SHBG levels based on factors in the T-C model; and
(2) estimate the odds ratio with the "hormone residual" (i.e., observed minus expected E2/SHBG from (1)), adjusted for T-C 10-year risk.
The model will be validated in the Breast Cancer Now Generations (BGS) prospective cohort in the UK including 42,075 eligible participants, 847 with incident breast cancer diagnosed within a 5-years follow-up.

Results: Calibration of the current T-C model has been assessed in a BGS nested case-control sample with data on classical risk factors, 313-SNP polygenic risk score and mammographic density (1,777 controls and 610 breast cancer cases), using 5-year risk scores generated by T-C model v8 before adding hormones. The model was well calibrated (calibration slope 1.0 (95%CI 0.67-1.30) with an age-adjusted AUC=0.65 (95%CI 0.62-0.68).

Conclusion: T-C scores are well calibrated with modest risk discrimination. Further analyses will evaluate whether adding E2/SHBG improves the model.
12 Fri, 09/05/2025 - 04:33 Anonymous 10.208.28.165 Marta Manczuk Associate Professor Ph.D. marta.manczuk@nio.gov.pl Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw, Poland Smoking cessation and all-cause and cancer-specific mortality in Poland: A target trial emulation
  1. First Name: Magdalena
    Last Name: Cedzynska
    Degree(s): Ph.D.
    Organization: Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw, Poland
  2. First Name: Irena
    Last Name: Przepiorka
    Degree(s): M.A.
    Organization: Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw, Poland
  3. First Name: Martin
    Last Name: Lajous
    Degree(s): M.D. Ph.D.
    Organization: National Institute of Public Health in Mexico
 Background
In Poland, 25% of adults are daily smokers. Estimating the impact of smoking cessation on mortality in the absence of randomized trials is critical to achieve the tobacco endgame (smoking prevalence <5%).

Methods
We emulated a target trial to estimate the effect of smoking cessation on all-cause and cancer mortality, comparing current and former smokers from the Polish Cohort Study (PONS; n=13,148 women and men) at baseline in 2010. We estimated the 12-year risk difference (RD) using pooled logistic regression models, weighting participants by the inverse probability of treatment to address confounding by age, marital status, sex, education, alcohol, smoking years, and physical activity and inactivity. We constructed cumulative incidence curves under smoking and smoking cessation and stratified analyses by sex. 95% confidence intervals (95%CIs) were calculated using bootstrapping.

Results
Among 2,482 current and 4,258 former smokers, 636 deaths and 260 cancer deaths occurred. The 12-year mortality risk for current smokers was 12.6% (95%CI 11.3, 14.1) and for former smokers 7.8% (95%CI 6.9, 8.7). The RD was -4.9 percentage points (95%CI -6.7, -3.3). For men, the corresponding RD was -8.2 percentage points (95%CI -12.6, -4.8) and for women -3.5 (95%CI -5.6, -1.6). The 12-year cancer mortality risk for current smokers was 5.7% (95%CI 4.7, 6.8) and for former smokers 3.1% (95%CI 2.4, 3.6). The RD was -2.6 percentage points (95%CI -4.0, -1.4).

Conclusion
Our estimates suggest that smoking cessation in Poland significantly reduces the absolute risk of mortality, and that quitting tobacco smoking may be particularly impactful in men.
11 Thu, 09/04/2025 - 15:24 Anonymous 10.208.28.132 Ruolin Zhang M.S. rzhang25@bwh.harvard.edu Brigham and Women's Hospital Genetic Risk of Obesity and Low-Carbohydrate Diets on Long-Term Weight Gain: A Gene-Environment Interaction Analysis in the Women's Genome Health Study
  1. First Name: Daniel
    Middle Initial: I
    Last Name: Chasman
    Degree(s): Ph.D.
    Organization: Brigham and Women's Hospital
  2. First Name: Deirdre
    Middle Initial: K
    Last Name: Tobias
    Degree(s): ScD
    Organization: Brigham and Women's Hospital
 Background
Obesity, a modifiable cancer risk factor, drives metabolic dysregulation. Although both genes and diet influence weight gain, it‘s uncertain whether carbohydrate-restricted diets mitigate long-term weight gain and obesity in genetically susceptible individuals. We assessed whether low-carbohydrate diets (LCD) modify the genetic risk of obesity and weight gain.

Method
We analyzed the prospective Women’s Genome Health Study with baseline diet, genotyping, lifestyle, and annual self-reported weight (1992–2021). We derived the LCD score (LCDS) by ranking participants’ intake (%kcal/day) of carbohydrate (descending) and fat and protein (ascending). We developed genome-wide (gwPRS) and pathway-specific PRSs (pPRSs) from previous BMI GWAS. Multivariable-adjusted linear regression, Cox, and mixed-effects models tested gene–diet interactions on baseline BMI, incident obesity (BMI≥30kg/m2), and BMI change, with control for multiple testing by effective independent test number (Meff).

Results
We analyzed 22,472 women of European ancestry. Baseline carbohydrate intake was 48.9 (SD=7.24) and BMI was 25.9 (4.9). There was a significant LCDS×gwPRS interaction for baseline BMI (β=0.12, 95% CI 0.06–0.17) and BMI change (−0.002, −0.003 to −0.001), but not for incident obesity (HR=0.98, 0.94–1.02), indicating a higher LCDS was related to greater weight gain for women with a higher gwPRS. After multiple testing corrections, 7 KEGG legacy pathways and LCDS interactions remained significant for BMI change.

Conclusions
Lower-carbohydrate diets amplified genetic risk for long-term weight gain in women. Future research is needed to clarify diet quality, rather than total carbohydrate restriction, in mitigating weight gain for cancer prevention.
10 Wed, 09/03/2025 - 13:13 Anonymous 10.208.24.230 Ting Zhang postdoctoral fellow PhD ting.zhang3@nih.gov National Cancer Institute Blood proteomic profiles and pancreatic ductal adenocarcinoma risk – A Mendelian randomization and observational analysis
  1. First Name: Ting
    Last Name: Zhang
    Degree(s): Ph.D. MPH
    Organization: National Cancer Institute
  2. First Name: Devika
    Last Name: Godbole
    Degree(s): MS
    Organization: National Cancer Institute
  3. First Name: Ziqiao
    Last Name: Wang
    Degree(s): Ph.D.
    Organization: Johns Hopkins Bloomberg School of Public Health
  4. First Name: Xiaoyu
    Last Name: Wang
    Degree(s): MS
    Organization: National Cancer Institute
  5. First Name: Jia
    Last Name: Liu
    Degree(s): Ph.D.
    Organization: National Cancer Institute
  6. First Name: Chirayu
    Last Name: Mohindroo
    Degree(s): MBBS
    Organization: National Cancer Institute
  7. First Name: Shilpa
    Last Name: Katta
    Degree(s): MS
    Organization: National Cancer Institute
  8. First Name: Shengchao
    Middle Initial: A.
    Last Name: Li
    Degree(s): MS
    Organization: National Cancer Institute
  9. First Name: Jiahui
    Last Name: Wang
    Degree(s): MS
    Organization: National Cancer Institute
  10. First Name: PanScan
    Middle Initial: and
    Last Name: PanC4 Consortium
    Organization: National Cancer Institute
  11. First Name: Brian
    Middle Initial: M.
    Last Name: Wolpin
    Degree(s): M.D., MPH
    Organization: Dana-Farber Cancer Institute
  12. First Name: Harvey
    Middle Initial: A.
    Last Name: Risch
    Degree(s): M.D., Ph.D.
    Organization: Yale School of Public Health
  13. First Name: Laufey
    Middle Initial: T.
    Last Name: Amundadottir
    Degree(s): Ph.D.
    Organization: National Cancer Institute
  14. First Name: Alison
    Middle Initial: P.
    Last Name: Klein
    Degree(s): Ph.D., MHS
    Organization: Johns Hopkins Bloomberg School of Public Health
  15. First Name: Vernon
    Middle Initial: A.
    Last Name: Burk
    Degree(s): MPH
    Organization: Johns Hopkins Bloomberg School of Public Health
  16. First Name: Nilanjan
    Last Name: Chatterjee
    Degree(s): Ph.D., MS
    Organization: Johns Hopkins Bloomberg School of Public Health
  17. First Name: Kai
    Last Name: Yu
    Degree(s): Ph.D.
    Organization: National Cancer Institute
  18. First Name: Elizabeth
    Middle Initial: A.
    Last Name: Platz
    Degree(s): ScD, MPH
    Organization: Johns Hopkins Bloomberg School of Public Health
  19. First Name: Diptavo
    Last Name: Dutta
    Degree(s): Ph.D.
    Organization: National Cancer Institute
  20. First Name: Haoyu
    Last Name: Zhang
    Degree(s): Ph.D.
    Organization: National Cancer Institute
  21. First Name: Rachael
    Middle Initial: Z.
    Last Name: Stolzenberg-Solomon
    Degree(s): PhD, MPH, RD
    Organization: National Cancer Institute
 Background: Proteomic biomarkers hold promises for early detection and etiologic insights into pancreatic ductal adenocarcinoma (PDAC). We investigated associations between genetically predicted plasma proteins and PDAC risk using Mendelian randomization (MR) and assessed identified proteins with incident PDAC in two prospective cohorts.
Methods: We conducted proteome-wide MR by applying cis-acting protein quantitative trait loci (pQTLs, P<5×10-8) identified from genome-wide association studies of plasma proteins in the UK Biobank (UKB, n=34,557; 2923 proteins) and deCODE (n=35,559; 4719 proteins), respectively, to summary statistics from a PDAC GWAS meta-analysis of PanScan1–3/PanC4/FinnGen (10,244 cases, 360,535 controls of European ancestry). We validated the top MR-identified proteomic-PDAC associations using Cox proportional hazards models within UKB (n=52,551, 133 cases) and Atherosclerosis Risk in Communities (ARIC) study (n=9476; 88 cases) cohorts and combined using fixed-effect meta-analysis.
Results: The proteome-wide MR identified 44 proteins significantly associated with PDAC risk after Bonferroni correction (PUKB<2.7×10-5 or PdeCODE <3.0×10-5), of which 17 were cross-validated in both datasets (P<0.05). Of the 44, eight proteins were previously identified, including ABO, CTRB1, B4GALT1, REG1A, FUT3, AMY2A, AMY2B, and NCF1 (OR=0.80–1.27 per standard deviation increment). The remaining 36 proteins were newly identified. In prospective analyses, higher plasma ABO and ITIH3 were associated with incident PDAC in UKB-ARIC meta-analysis (HR=1.19 and 1.20 respectively).
Conclusion/Discussion: We identified multiple genetically predicted plasma proteins associated with PDAC risk, among which associations for measured plasma ABO and ITIH3 were further validated using in two prospective cohorts. These proteins highlight promising candidates for future investigations as PDAC prevention targets.
9 Fri, 08/29/2025 - 15:38 Anonymous 10.208.24.168 Meng-Han Tsai Assistant Professor PhD metsai@augusta.edu Augusta University Descriptive Insights into Colorectal Cancer Risk Factors in Young Hispanic Adults
  1. First Name: Dongyu
    Last Name: Zhang
    Organization: Augusta University
  2. First Name: Bayu
    Middle Initial: B
    Last Name: Bekele
    Organization: Augusta University
  3. First Name: Ying
    Last Name: Huang
    Organization: Augusta University
  4. First Name: Pamela
    Last Name: Cromer
    Organization: Augusta University
  5. First Name: Debbie
    Last Name: Layman
    Organization: Community Liaison Between Augusta University and Costa-Layman Farm
  6. First Name: Haidong
    Last Name: Zhu
    Organization: Augusta University
  7. First Name: Yanbin
    Last Name: Dong
    Organization: Augusta University
 Background: Early-onset colorectal cancer is rising among adults aged 18–49, with disproportionately high mortality rates observed in Southeast. Hispanic adults frequently experience lifestyle-related and cardiometabolic health challenges that could contribute to increased risk of developing CRC. We evaluated CRC risk factors among Hispanic adults under 50, overall and stratified by sex/ age.
Methods: Data were collected at a July 2025 health fair in South Carolina serving Hispanic farm workers. We used the NCI Colorectal Cancer Risk Assessment Tool, which includes demographic, lifestyle, medical, and family history factors, and added cardiometabolic indicators to improve risk estimates.
Results: Of total 34 Hispanic adults, many were females (61.8%) and overweight/obese (76.5%). There were around 47.1% of participants who had elevated blood pressure (BP; Systolic BP ≥ 120 and/or Diastolic BP ≥ 80), 8.8% of those who had high glucose levels (≥126 mg/dL), and 11.8% of those who had high cholesterol levels (≥200 mg/dL). All adults with high glucose were either female or aged 31–49, and 75% of those with high cholesterol were female. Additionally, 65.4% of females aged 31-49 were classified as overweight/obese. Two 47-year-old females, eligible for CRC screening under the updated age threshold of 45, had not been screened; however, both presenting with elevated BP. No consistent patterns by sex/age were observed for other factors.
Conclusion/Discussion: This exploratory study revealed concerning cardiometabolic risks among young Hispanic females, potentially linked to elevated CRC susceptibility. These findings suggest a need for further investigation and tailored risk tools for younger racial minorities.
8 Wed, 08/27/2025 - 14:15 Anonymous 10.208.24.239 Isaac Ergas Staff Scientist PhD, MPH Isaac.J.Ergas@kp.org Kaiser Permanente Northern California Division of Research The Pathways Study data portal: an automated, web-based platform for data sharing in a large cohort of breast cancer survivors
  1. First Name: Isaac
    Middle Initial: J.
    Last Name: Ergas
    Degree(s): Ph.D., MPH
    Organization: Kaiser Permanente Northern California Division of Research
  2. First Name: Janise
    Middle Initial: M.
    Last Name: Roh
    Degree(s): MSW, MPH
    Organization: Kaiser Permanente Northern California Division of Research
  3. First Name: Lia
    Middle Initial: D.
    Last Name: D'Addario
    Degree(s): MPH
    Organization: Kaiser Permanente Northern California Division of Research
  4. First Name: Alexa
    Last Name: Zimbalist
    Degree(s): MS
    Organization: Kaiser Permanente Northern California Division of Research
  5. First Name: Cecile
    Last Name: Laurent
    Degree(s): MS
    Organization: Kaiser Permanente Northern California Division of Research
  6. First Name: Jia
    Last Name: Li
    Degree(s): MS, MPH
    Organization: Kaiser Permanente Northern California Division of Research
  7. First Name: Clara
    Last Name: Yang
    Degree(s): MPH
    Organization: Kaiser Permanente Northern California Division of Research
  8. First Name: Kelly
    Last Name: Radimer
    Degree(s): MA, MS
    Organization: Kaiser Permanente Northern California Division of Research
  9. First Name: Sri
    Last Name: Chimmula
    Degree(s): BS
    Organization: Kaiser Permanente Northern California Division of Research
  10. First Name: Kanchana
    Last Name: Chandrasekaran
    Degree(s): BT
    Organization: Kaiser Permanente Northern California Division of Research
  11. First Name: Deepmala
    Last Name: Budhija
    Degree(s): MS
    Organization: Kaiser Permanente Northern California Division of Research
  12. First Name: Adam
    Last Name: Boroian
    Degree(s): MFA
    Organization: Kaiser Permanente Northern California Division of Research
  13. First Name: Rochelle
    Last Name: Payne Ondracek
    Degree(s): Ph.D.
    Organization: Roswell Park Comprehensive Cancer Center
  14. First Name: Marilyn
    Middle Initial: L.
    Last Name: Kwan
    Degree(s): Ph.D.
    Organization: Kaiser Permanente Northern California Division of Research
  15. First Name: Christine
    Last Name: Ambrosone
    Degree(s): Ph.D.
    Organization: Roswell Park Comprehensive Cancer Center
  16. First Name: Lawrence
    Middle Initial: H.
    Last Name: Kushi
    Degree(s): Sc.D.
    Organization: Kaiser Permanente Northern California Division of Research
 Background: The recent NIH Data Management & Sharing (DMS) policy outlines appropriate sharing of NIH-supported data. The Pathways Study, a prospective cohort of 4,504 breast cancer survivors diagnosed at Kaiser Permanente Northern California from 2005–2013, is developing an online data portal to make study-data and resources accessible while safeguarding privacy.
Methods: The portal includes: (1) study overviews and research team profiles; (2) collaborators, ancillary studies, publications, and dissemination of findings such as news stories and webinars; (3) downloadable questionnaires, data dictionaries, and biospecimen information; (4) interactive visualizations; (5) data explorer and request system; and (6) guidelines for data use, IRB requirements, and quality control prior to manuscript submission.
Data availability will be built-out incrementally, beginning with frequently requested data domains (e.g., demographics, tumor characteristics, outcomes) and later to additional domains. Data will be curated and uploaded into an SQL Server, then transferred daily into Oracle APEX to support the portal’s query and download functions. Future users can search variables, generate custom variable lists, and submit formal requests, which will integrate into internal workflows for review, approval, and delivery.
Results: The general website launched in October 2024, providing study information, dissemination of findings, and administrative resources. The data portal, including the variable explorer and data request system, is anticipated to launch in October 2025.
Conclusion/Discussion: We anticipate that the Pathways Study data portal will streamline data-sharing, facilitate collaboration, and maximize the value of cohort data. This platform also offers a model to meet the expectations of the NIH DMS policy.
7 Wed, 08/20/2025 - 17:27 Anonymous 10.208.24.50 Xiang Shu Assistant Professor PhD shux@mskcc.org Memorial Sloan Kettering Cancer Center Multi-omics study reveals potential novel biomarkers linking low fruit intake and aging to gastric cancer
  1. First Name: Ying
    Last Name: Liang
    Degree(s): PhD
    Organization: Memorial Sloan Kettering Cancer Center
  2. First Name: Xiao-ou
    Last Name: Shu
    Degree(s): MD, PhD
    Organization: Vanderbilt University Medical Center
 Background Gastric cancer (GC) remains a significant cancer burden worldwide. Although several risk factors, such as Helicobacter pylori (H. pylori), have been recognized, additional mechanisms implicated in GC development remain to be elucidated. Methods In the current study, we performed a multi-omics investigation of GC using a nested case-control design within the Southern Community Cohort Study, aiming to identify novel risk biomarkers for this malignancy in an underrepresented population characterized by low socioeconomic status. We generated untargeted metabolomics data using prediagnostic blood samples from 93 incident GC cases and 184 matched controls, and unbiased proteomics data for a subset of 80 case-control pairs. The data were corrected for batch effects and biomarkers with a large proportion of missing values (>30%) were excluded. We performed multivariable conditional logistic regression to identify risk associated biomarkers. Results Seventeen metabolites were nominally associated with GC risk (P<0.01), covering five distinct classes. For example, 4-allylphenol sulfate, a xenobiotic metabolite previously reported as biomarker for fruit intake, was inversely associated with GC risk (OR=0.57, 95%CI=0.41-0.80, P=0.0012) after adjusting for H. pylori exposure, pepsinogen I/II ratio, and other risk factors. N1-methyl-4-pyridone-3-carboxamide, a terminal metabolite of niacin, was also associated with reduced risk of GC (OR=0.68, 95%CI=0.48-0.97, P=0.0319). Proteomics data suggest that aging particularly intestinal aging may significantly contribute to GC development (OR=5.29, 95%CI=1.53-18.3, P=0.0086). Conclusion Findings from our newly generated multi-omics data highlight low fruit intake and aging as key risk factors for GC development in a predominantly African American population with low socioeconomic status.
1 Fri, 08/15/2025 - 17:15 Anonymous 10.208.24.188 Konrad Stopsack Professor MD MPH stopsack@leibniz-bips.de Leibniz Institute for Prevention Research and Epidemiology – BIPS An R Package for the Health Professionals Follow-up Study to Increase Accessibility and Reusability of Legacy Data Structures
  1. First Name: Konrad
    Middle Initial: H.
    Last Name: Stopsack
    Degree(s): M.D. M.P.H.
    Organization: Leibniz Institute for Prevention Research and Epidemiology – BIPS
  2. First Name: Hannah
    Middle Initial: E.
    Last Name: Guard
    Degree(s): M.S.
    Organization: Harvard T.H. Chan School of Public Health
  3. First Name: Caroline
    Last Name: Himbert
    Degree(s): Ph.D.
    Organization: Huntsman Cancer Institute
  4. First Name: Yuliya
    Last Name: Leontyeva
    Degree(s): Ph.D.
    Organization: Harvard T.H. Chan School of Public Health
  5. First Name: LeeAnn
    Last Name: Lucas
    Degree(s): M.S.
    Organization: Harvard T.H. Chan School of Public Health
  6. First Name: Colleen
    Middle Initial: B.
    Last Name: McGrath
    Degree(s): M.S.
    Organization: Harvard T.H. Chan School of Public Health
  7. First Name: Jane
    Middle Initial: B.
    Last Name: Vaselkiv
    Degree(s): M.P.H.
    Organization: Harvard T.H. Chan School of Public Health
 Background: With long-term follow-up of prospective cohorts, not just participants but also data structures and data pipelines age. Accessibility and reusability of such legacy data can be major barriers to analysis projects, compounded by analytic software with vendor lock-in.

Methods and Results: One approach to improving accessibility and reusability is the creation of open-source software that leaves the original data storage intact and provides well-documented, transparent translations of legacy data structures into modern data objects, which are then directly usable in reproducible analytic pipelines. The test case, presented here, is the R package {hpfs} for loading and reshaping data from the Health Professionals Follow-up Study. This software has been developed with a team-based approach, fully online and with collaboration and quality control supported by a version control system. This effort has required a deep understanding of the cohort data as well as emphasis on consistent software design. Initial application experience suggests that this approach eliminates some common pitfalls in analyses and provides major efficiency gains.

Conclusion: Transparent translations of legacy data by open-source software are one approach to substantially improve accessibility and reusability of valuable cohort data.