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Integrating epidemiologic, clinical, genomic and metabolomic profiles to predict pancreatic cancer risk in a multiethnic population

Award Number: R00CA256525
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 01/09/2023
PERIOD OF PERFORMANCE END DATE: 12/31/2026

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Integrating epidemiologic, clinical, genomic and metabolomic profiles to predict pancreatic cancer risk in a multiethnic population - ABSTRACT Pancreatic cancer is a highly lethal malignancy that has a very poor prognosis in the United States. It has a 5- year survival rate of only 9% and is projected to become the second most common cancer death by 2030. Pancreatic cancer also has a disproportionate burden across race/ethnicity, with higher incidence rates observed among minority groups, such African Americans, Japanese Americans, and Native Hawaiians. Past prediction models have been developed to identify high-risk individuals and improve the earlier detection of this disease. However, these models were designed in individuals of primarily European or Asian ancestry and have not been validated in multiethnic populations. In addition, these models included mainly known epidemiologic risk factors and only a few incorporated data on genetic variants or health conditions. Thus, a model that employs more granular data, such as comorbidities/symptoms, genomics and metabolomics, for the prediction of pancreatic cancer across multiple races/ethnicities does not exist. In this study, we seek to apply an integrative systems biology approach to enhance the prediction of pancreatic cancer risk using data from the Multiethnic Cohort (MEC) Study. The MEC is a long-standing prospective cohort of over 215,000 racially diverse individuals that has comprehensive lifestyle, environmental, clinical, and genetic data. We will use data from existing resources of the MEC, including epidemiologic risk factors from questionnaires, clinical health conditions from Medicare claims, genetic data from a large biorepository of blood samples, and cancer incidence and mortality information from SEER Cancer registries and state and national mortality databases. We will also generate new metabolomic data for a subset of MEC participants. Our specific aims are: 1) to identify clusters or patterns of clinical conditions associated with pancreatic cancer risk; 2) to validate existing prediction models in a multiethnic population and develop an enhanced prediction model that incorporates epidemiologic, clinical and genomic data; 3) to identify metabolites associated with pancreatic cancer in a multiethnic population; and 4) to integrate epidemiologic, clinical, genomic and metabolomic data to identify individuals at high risk of pancreatic cancer. Results from this study are expected to elucidate etiologic mechanisms and improve the prediction of pancreatic cancer risk for heterogeneous populations. This will have significant implications for improving strategies for earlier detection and reducing the overwhelming burden of this fatal cancer.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $0 )
2026	2025	UNIVERSITY OF SOUTHERN CALIFORNIA	3720 S FLOWER ST FL 3	LOS ANGELES	CA	90033	LOS ANGELES	USA	Cancer Cause and Prevention Research	000	5	11/12/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2025 ( Subtotal = $249,000 )
2025	2025	UNIVERSITY OF SOUTHERN CALIFORNIA	3720 S FLOWER ST FL 3	LOS ANGELES	CA	90033	LOS ANGELES	USA	Cancer Cause and Prevention Research	002	5	6/6/2025	NON-COMPETING CONTINUATION	$24,900
2025	2025	UNIVERSITY OF SOUTHERN CALIFORNIA	3720 S FLOWER ST FL 3	LOS ANGELES	CA	90033	LOS ANGELES	USA	Cancer Cause and Prevention Research	000	5	12/19/2024	NON-COMPETING CONTINUATION	$224,100
2025	2025	UNIVERSITY OF SOUTHERN CALIFORNIA	3720 S FLOWER ST FL 3	LOS ANGELES	CA	90033	LOS ANGELES	USA	Cancer Cause and Prevention Research	001	5	2/13/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $249,000

Issue Date FY: 2024 ( Subtotal = $249,000 )
2024	2024	UNIVERSITY OF SOUTHERN CALIFORNIA	3720 S FLOWER ST	LOS ANGELES	CA	90089	LOS ANGELES	USA	Cancer Cause and Prevention Research	000	4	1/2/2024	NON-COMPETING CONTINUATION	$224,100
2024	2024	UNIVERSITY OF SOUTHERN CALIFORNIA	3720 S FLOWER ST FL 3	LOS ANGELES	CA	90089	LOS ANGELES	USA	Cancer Cause and Prevention Research	001	4	4/12/2024	NON-COMPETING CONTINUATION	$24,900
														Subtotal = $249,000

Issue Date FY: 2023 ( Subtotal = $249,000 )
2023	2023	UNIVERSITY OF SOUTHERN CALIFORNIA	3720 S FLOWER ST	LOS ANGELES	CA	90089	LOS ANGELES	USA	Cancer Research Manpower	000	3	1/9/2023	EXTENSION WITH OR WITHOUT FUNDS	$249,000
														Subtotal = $249,000

Grand Total All Awards = $747,000

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Integrating epidemiologic, clinical, genomic and metabolomic profiles to predict pancreatic cancer risk in a multiethnic population

Award Number: R00CA256525

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 01/09/2023

PERIOD OF PERFORMANCE END DATE: 12/31/2026

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