Grant Details
| Grant Number: |
5UH3CA267907-05 Interpret this number |
| Primary Investigator: |
Pearce, Celeste |
| Organization: |
University Of Michigan At Ann Arbor |
| Project Title: |
MI-CARES: the Michigan Cancer and Research on the Environment Study |
| Fiscal Year: |
2026 |
Abstract
The goal of this proposal is to establish MI-CARES: The Michigan Cancer and Research on the Environment Study to describe and quantify the impact of known and novel environmental exposures on cancer risk. With MI-CARES we will examine well-established environmental carcinogens such as air pollution and heavy metals but also focus on less characterized exposures including per- and polyfluoroalkyl substances (PFAS), noise, and chemicals in personal care products for which there are urgent needs to assess carcinogenicity. As differences in these exposures are common by geographic region and lifestyle, research is required to understand how these factors impact the relationships between the environment and cancer risk. Michigan (MI) is an ideal location to carry out research on environmental exposures and cancer risk. Michiganders have experienced a tragic suite of environmental exposures ranging from contaminated animal feed with polybrominated biphenyls (PBBs) in the 1970s, to the lead contamination of Flint’s water supply, and the highest known PFAS levels of any state. The “Tri-Cities” area of metro Detroit is the most polluted region in Michigan and high-ranking in the entire U.S. These exposures in MI are profound, and the strong history of community engagement makes MI-CARES feasible. In this project, we hypothesize that environmental exposures impact inflammation, cellular aging, epigenetic regulation, and immune function to ultimately increase cancer risk. To investigate this hypothesis, we propose to establish MI-CARES, a cohort of 70,000 cancer-free men and women aged 18-49 residing in Michigan. We will recruit equal numbers of Black, Hispanic, Middle Eastern and North African (MENA), and White participants. Questionnaire, community-level data, and birth records will be collected for all participants using a life course approach to capture data during critical life stages. Data collection will include information on individual characteristics, residential histories, health, and lifestyle. Lifetime exposures to environmental pollutants will be ascertained through questionnaire, residential proximity-based measures or models. In addition, biospecimens (blood spots and toenails) will be collected on all participants. Within MI-CARES, we will form an enhanced measurement cohort (n=500 cancer-free cohort members) and a nested case-control sample (n=250 cancer cases and 250 matched cancer-free cohort controls) in whom a comprehensive laboratory-based exposure and intermediate cancer biomarker assessment will be conducted, including PFAS, metals, untargeted metabolomics, DNA methylation, and inflammation biomarkers.
Publications
Privacy-enhancing sequential learning under heterogeneous selection bias in multi-site electronic health records data.
Authors: Kundu R.
, Salvatore M.
, Patel K.K.
, Ohno-Machado L.
, Cho H.
, Shi X.
, Mukherjee B.
.
Source: Journal Of The American Medical Informatics Association : Jamia, 2026-06-16 00:00:00.0; , .
EPub date: 2026-06-16 00:00:00.0.
PMID: 42298300
Related Citations
Rethinking the microenvironment's role in chemical-induced malignancy.
Authors: Bisson W.H.
, Currie R.A.
, Lim E.L.
, Mlynarczyk C.
, Tokar E.J.
, Colacci A.
, Colacino J.A.
.
Source: Toxicological Sciences : An Official Journal Of The Society Of Toxicology, 2026-02-18 00:00:00.0; 209(2), .
PMID: 41405843
Related Citations
A doubly robust framework for addressing outcome-dependent selection bias in multi-cohort EHR studies.
Authors: Kundu R.
, Shi X.
, Kleinsasser M.
, Fritsche L.G.
, Salvatore M.
, Mukherjee B.
.
Source: Biostatistics (oxford, England), 2026-01-20 00:00:00.0; 27(1), .
PMID: 41921565
Related Citations
What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research.
Authors: Salerno S.
, Roberts E.K.
, Needham B.L.
, McCormick T.H.
, Li F.
, Mukherjee B.
, Shi X.
.
Source: Statistics In Medicine, 2025 Oct; 44(23-24), p. e70289.
PMID: 41055541
Related Citations
Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software.
Authors: Chen X.
, Wu Z.
, Shi X.
, Cho H.
, Mukherjee B.
.
Source: Journal Of The American Medical Informatics Association : Jamia, 2025-06-03 00:00:00.0; , .
EPub date: 2025-06-03 00:00:00.0.
PMID: 40460023
Related Citations
Statistical Methods for Chemical Mixtures: A Roadmap for Practitioners Using Simulation Studies and a Sample Data Analysis in the PROTECT Cohort.
Authors: Hao W.
, Cathey A.L.
, Aung M.M.
, Boss J.
, Meeker J.D.
, Mukherjee B.
.
Source: Environmental Health Perspectives, 2025 Jun; 133(6), p. 67019.
EPub date: 2025-06-19 00:00:00.0.
PMID: 40392783
Related Citations
Outcome adaptive propensity score methods for handling censoring and high-dimensionality: Application to insurance claims.
Authors: Du J.
, Yu Y.
, Zhang M.
, Wu Z.
, Ryan A.M.
, Mukherjee B.
.
Source: Statistical Methods In Medical Research, 2025 May; 34(5), p. 847-866.
EPub date: 2025-02-27 00:00:00.0.
PMID: 40013476
Related Citations
Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review.
Authors: Rountree L.
, Lin Y.T.
, Liu C.
, Salvatore M.
, Admon A.
, Nallamothu B.
, Singh K.
, Basu A.
, Bu F.
, Mukherjee B.
.
Source: Online Journal Of Public Health Informatics, 2025-03-19 00:00:00.0; 17, p. e66598.
EPub date: 2025-03-19 00:00:00.0.
PMID: 39962044
Related Citations
Global Prevalence of Long COVID, its Subtypes and Risk factors: An Updated Systematic Review and Meta-Analysis.
Authors: Hou Y.
, Gu T.
, Ni Z.
, Shi X.
, Ranney M.L.
, Mukherjee B.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2025-01-06 00:00:00.0; , .
EPub date: 2025-01-06 00:00:00.0.
PMID: 39830235
Related Citations
Body dissatisfaction widens the racial disparities of Benzophenone-3, a chemical biomarker of personal care and consumer product usage.
Authors: Nguyen V.K.
, Zimmerman S.
, Colacino J.
, Jolliet O.
, Patel C.J.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2024-08-26 00:00:00.0; , .
EPub date: 2024-08-26 00:00:00.0.
PMID: 39252908
Related Citations
A framework for understanding selection bias in real-world healthcare data.
Authors: Kundu R.
, Shi X.
, Morrison J.
, Barrett J.
, Mukherjee B.
.
Source: Journal Of The Royal Statistical Society. Series A, (statistics In Society), 2024 Aug; 187(3), p. 606-635.
EPub date: 2024-05-02 00:00:00.0.
PMID: 39281782
Related Citations
Environmental chemical-wide associations with immune biomarkers in US adults: A cross-sectional analysis.
Authors: Middleton L.Y.M.
, Nguyen V.K.
, Dou J.
, Wang H.
, Patel C.J.
, Park S.K.
, Colacino J.A.
, Bakulski K.M.
.
Source: Environmental Research, 2024-07-01 00:00:00.0; 252(Pt 3), p. 118956.
EPub date: 2024-04-17 00:00:00.0.
PMID: 38640990
Related Citations
To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice.
Authors: Salvatore M.
, Kundu R.
, Shi X.
, Friese C.R.
, Lee S.
, Fritsche L.G.
, Mondul A.M.
, Hanauer D.
, Pearce C.L.
, Mukherjee B.
.
Source: Journal Of The American Medical Informatics Association : Jamia, 2024-06-20 00:00:00.0; 31(7), p. 1479-1492.
PMID: 38742457
Related Citations
Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons.
Authors: Clark-Boucher D.
, Zhou X.
, Du J.
, Liu Y.
, Needham B.L.
, Smith J.A.
, Mukherjee B.
.
Source: Plos Genetics, 2023 Nov; 19(11), p. e1011022.
EPub date: 2023-11-07 00:00:00.0.
PMID: 37934796
Related Citations
Exploratory profiles of phenols, parabens, and per- and poly-fluoroalkyl substances among NHANES study participants in association with previous cancer diagnoses.
Authors: Cathey A.L.
, Nguyen V.K.
, Colacino J.A.
, Woodruff T.J.
, Reynolds P.
, Aung M.T.
.
Source: Journal Of Exposure Science & Environmental Epidemiology, 2023 Sep; 33(5), p. 687-698.
EPub date: 2023-09-18 00:00:00.0.
PMID: 37718377
Related Citations
A synthetic data integration framework to leverage external summary-level information from heterogeneous populations.
Authors: Gu T.
, Taylor J.M.G.
, Mukherjee B.
.
Source: Biometrics, 2023-03-06 00:00:00.0; , .
EPub date: 2023-03-06 00:00:00.0.
PMID: 36876883
Related Citations
Methods for large-scale single mediator hypothesis testing: Possible choices and comparisons.
Authors: Du J.
, Zhou X.
, Clark-Boucher D.
, Hao W.
, Liu Y.
, Smith J.A.
, Mukherjee B.
.
Source: Genetic Epidemiology, 2023 Mar; 47(2), p. 167-184.
EPub date: 2022-12-08 00:00:00.0.
PMID: 36465006
Related Citations
Methods for Mediation Analysis with High-Dimensional DNA Methylation Data: Possible Choices and Comparison.
Authors: Clark-Boucher D.
, Zhou X.
, Du J.
, Liu Y.
, Needham B.L.
, Smith J.A.
, Mukherjee B.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2023-02-14 00:00:00.0; , .
EPub date: 2023-02-14 00:00:00.0.
PMID: 36824903
Related Citations
Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery.
Authors: Nguyen V.K.
, Middleton L.Y.M.
, Huang L.
, Zhao N.
, Verly E.
, Kvasnicka J.
, Sagers L.
, Patel C.J.
, Colacino J.
, Jolliet O.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2023-02-08 00:00:00.0; , .
EPub date: 2023-02-08 00:00:00.0.
PMID: 36798185
Related Citations
Comparative impact assessment of COVID-19 policy interventions in five South Asian countries using reported and estimated unreported death counts during 2020-2021.
Authors: Kundu R.
, Datta J.
, Ray D.
, Mishra S.
, Bhattacharyya R.
, Zimmermann L.
, Mukherjee B.
.
Source: Plos Global Public Health, 2023; 3(12), p. e0002063.
EPub date: 2023-12-27 00:00:00.0.
PMID: 38150465
Related Citations
Identification of occupations susceptible to high exposure and risk associated with multiple toxicants in an observational study: National Health and Nutrition Examination Survey 1999-2014.
Authors: Nguyen V.K.
, Colacino J.
, Patel C.J.
, Sartor M.
, Jolliet O.
.
Source: Exposome, 2022; 2(1), p. osac004.
EPub date: 2022-06-25 00:00:00.0.
PMID: 35832257
Related Citations
Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis.
Authors: Clark-Boucher D.
, Boss J.
, Salvatore M.
, Smith J.A.
, Fritsche L.G.
, Mukherjee B.
.
Source: Plos One, 2022; 17(7), p. e0269017.
EPub date: 2022-07-25 00:00:00.0.
PMID: 35877617
Related Citations
Discussion on "Regression Models for Understanding COVID-19 Epidemic Dynamics with Incomplete Data".
Authors: Datta J.
, Mukherjee B.
.
Source: Journal Of The American Statistical Association, 2021; 116(536), p. 1583-1586.
EPub date: 2021-12-16 00:00:00.0.
PMID: 39439741
Related Citations