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Evaluating risk prediction models for use in lung cancer screening in diverse populations around the world

Award Number: R03CA245979
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/08/2020
PERIOD OF PERFORMANCE END DATE: 08/31/2022

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Evaluating risk prediction models for use in lung cancer screening in diverse populations around the world - PROJECT SUMMARY Screening by low-dose computed tomography (CT) can reduce lung cancer mortality among individuals with a heavy smoking history. Screening is more efficient when eligibility is based on individual risk, predicted using a model including demographics, smoking, and health information. Individuals whose risk exceeds a minimum threshold can be offered screening. Current lung cancer risk models and thresholds were developed and validated in healthy, largely non-Hispanic white, US populations, and their portability outside that context is unknown. This evidence gap represents a major and growing concern, because risk-based lung screening efforts are expanding rapidly worldwide without the needed evidence to support effective implementation. Therefore, the proposed project will (1) harmonize data across 21 cohorts worldwide to produce a unique consortium database on lung cancer risk; (2) evaluate the performance of lung cancer risk models across US races/ethnicities and different countries; (3) build and validate a risk model specifically for Asians; and (4) calculate the sensitivity of proposed risk thresholds across US and international cohorts. To achieve these aims, the research team will (1) capitalize on its existing involvement in the Lung Cancer Cohort Consortium, NCI Cohort Consortium, and Asia Cohort Consortium. Statistical analyses will (2) quantify calibration (E/O) and discrimination (AUC) of risk models among US whites, blacks, Hispanics, and Asians, and in countries across Europe, Asia, and Australia; (3) build and validate a flexible parametric survival model for 5-year lung cancer risk among Asians; and (4) calculate the proportion of ever-smoking lung cancer cases that would be screening eligible based on proposed risk thresholds. This work will provide critical data to accelerate implementation of evidence-based, risk-tailored lung cancer screening programs worldwide, thus maximizing the reductions in lung cancer mortality that can be achieved through screening with finite resources.


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: 2024 ( Subtotal = $0 )
2024	2020	CENTRE INTERNATIONAL DE RECHERCHE SUR LE CANCER	25 AVE TONY GARNIER	LYON				FRA	Cancer Detection and Diagnosis Research	000	1	11/7/2023	NEW	$0
														Subtotal = $0

Issue Date FY: 2021 ( Subtotal = $0 )
2021	2020	CENTRE INTERNATIONAL DE RECHERCHE SUR LE CANCER	150 COURS ALBERT THOMAS	LYON				FRA	Cancer Detection and Diagnosis Research	000	1	11/3/2020	NEW	$0
														Subtotal = $0

Issue Date FY: 2020 ( Subtotal = $112,170 )
2020	2020	CENTRE INTERNATIONAL DE RECHERCHE SUR LE CANCER	150 COURS ALBERT THOMAS	LYON		69008		FRA	Cancer Detection and Diagnosis Research	000	1	9/8/2020	NEW	$112,170
														Subtotal = $112,170

Grand Total All Awards = $112,170

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Evaluating risk prediction models for use in lung cancer screening in diverse populations around the world

Award Number: R03CA245979

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 09/08/2020

PERIOD OF PERFORMANCE END DATE: 08/31/2022

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