Skip to main content
Grant Details

Grant Number: 5R01CA251758-03 Interpret this number
Primary Investigator: Aldrich, Melinda
Organization: Vanderbilt University Medical Center
Project Title: Addressing Racial Disparities in Lung Cancer Screening
Fiscal Year: 2023


PROJECT SUMMARY/ABSTRACT Screening promotes early detection of cancer to decrease mortality. Unfortunately, significant racial disparities exist in lung cancer screening. Recently published findings by our team show that under current national screening guidelines African Americans have reduced eligibility for lung cancer screening compared to whites. These screening guidelines are based on a combination of age and smoking pack-year criteria derived from a national lung screening trial that was primarily (91%) white. Importantly, smoking behaviors and baseline risks for lung cancer differ greatly between African Americans and whites. Because of this, a risk-based screening strategy may provide a more equitable assessment of eligibility than current screening guidelines. However, the development of personalized risk prediction models for lung cancer in African Americans has been limited. To address this gap and to improve equity in screening eligibility, we propose building a personalized prediction tool using the combined data from three large-scale population-based prospective cohorts with substantial African American representation. The combined cohorts have over 336,000 individuals (44% African American) and 9,132 incident lung cancer cases from across the United States. We propose the following three aims: 1) construct a well-calibrated natural-history model of lung cancer risk for screening in African Americans, 2) evaluate lung cancer screening strategies by simulation and identify sub-populations who would benefit from screening, accounting for comorbidities and false-positives, and 3) develop a web-based decision aid for screening that is culturally appropriate. We will employ innovative machine learning techniques and state-of-the- art statistical methods to build a well-calibrated lung cancer prediction model for African Americans. Careful examination will identify sub-populations (such as women, low socioeconomic status, rural, age groups, etc.) that will benefit from screening. A key innovative aspect of this proposal is its community-engaged approach and partnership with a Community Advisory Board, both of which will help translate our empirical findings into the design of a patient-oriented decision aid. This project is relevant to the mission of the National Cancer Institute since it focuses on establishing equity in lung cancer screening eligibility. Our findings will have sustained impact on precision health and motivate improved clinical strategies for the early detection of lung cancer for African Americans.


The Thoracic Research Evaluation and Treatment 2.0 Model: A Lung Cancer Prediction Model for Indeterminate Nodules Referred for Specialist Evaluation.
Authors: Godfrey C.M. , Shipe M.E. , Welty V.F. , Maiga A.W. , Aldrich M.C. , Montgomery C. , Crockett J. , Vaszar L.T. , Regis S. , Isbell J.M. , et al. .
Source: Chest, 2023 Nov; 164(5), p. 1305-1314.
EPub date: 2023-06-17.
PMID: 37421973
Related Citations

Polygenic risk score for ulcerative colitis predicts immune checkpoint inhibitor-mediated colitis.
Authors: Middha P. , Thummalapalli R. , Betti M.J. , Yao L. , Quandt Z. , Balaratnam K. , Bejan C.A. , Cardenas E. , Falcon C.J. , Faleck D.M. , et al. .
Source: medRxiv : the preprint server for health sciences, 2023-09-13; , .
EPub date: 2023-09-13.
PMID: 37292751
Related Citations

Racial Disparities in Lung Cancer Stage of Diagnosis Among Adults Living in the Southeastern United States.
Authors: Richmond J. , Murray M.H. , Milder C.M. , Blume J.D. , Aldrich M.C. .
Source: Chest, 2023 May; 163(5), p. 1314-1327.
EPub date: 2022-11-24.
PMID: 36435265
Related Citations

Design and methodological considerations for biomarker discovery and validation in the Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Program.
Authors: Robbins H.A. , Alcala K. , Moez E.K. , Guida F. , Thomas S. , Zahed H. , Warkentin M.T. , Smith-Byrne K. , Brhane Y. , Muller D. , et al. .
Source: Annals of epidemiology, 2023 Jan; 77, p. 1-12.
EPub date: 2022-10-29.
PMID: 36404465
Related Citations

Psychosocial impact of COVID-19 among adults in the southeastern United States.
Authors: Richmond J. , Sanderson M. , Shrubsole M.J. , Holowatyj A.N. , Schlundt D.G. , Aldrich M.C. .
Source: Preventive medicine, 2022 Oct; 163, p. 107191.
EPub date: 2022-08-11.
PMID: 35964774
Related Citations

Back to Top