Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

Bayesian Modeling of Recurrent Cardiovascular Events and Tumor Heterogeneity in Older Adults with Cancer

Award Number: R03AG101065
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 07/01/2026
PERIOD OF PERFORMANCE END DATE: 06/30/2028

Group Awards By:

View Award Description

Bayesian Modeling of Recurrent Cardiovascular Events and Tumor Heterogeneity in Older Adults with Cancer - Project summary Immune checkpoint inhibitors (ICIs) have transformed cancer treatment, but growing evidence indicates significant cardiovascular risks associated with their use. This is particularly concerning for older adults who are at elevated risk due to increased vulnerability and a higher burden of comorbidities. In many cases, patients experience not a single cardiovascular event, but multiple events over time. These recurrent events reflect the chronic nature of cardiovascular vulnerability and often have greater implications for clinical burden and long-term prognosis. As such, modeling the recurrent nature of cardiovascular risk is important for a comprehensive understanding of long-term cardiovascular burden and for informing effective monitoring strategies in geriatric oncology. In this project, our ultimate goal is to develop novel statistical methods and computational tools to model recurrent adverse cardiovascular events (ACEs) in older adults with cancer. We specifically aim to improve adjustment for tumor-related heterogeneity in modeling recurrent ACEs by addressing limitations in existing approaches that rely on coarse diagnostic categories or fail to account for complex disease structures. The specific aims are as follows. In Aim 1, we will develop a Bayesian recurrent survival model that incorporates latent traits derived from high-dimensional cancer profile data to account for tumor heterogeneity more efficiently. In Aim 2, we will identify clinically interpretable subphetnotypes using a Bayesian nonparametric model that jointly models recurrent events trajectories and cancer profiles as the basis for clustering. We plan to analyze the Yale retrospective cohort of older adults treated with ICIs. In addition to generating new clinical insights, we will develop publicly available and user-friendly software for implementing the proposed methods, ensuring broader scientific impact. This proposal, which will result in new methods and software development as well as clinical findings, will provide valuable insights into cardiovascular risk in geriatric oncology populations.


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 = $172,838 )
2026	2026	BOARD OF REGENTS OF THE UNIVERSITY OF NEBRASKA	4215 EMILE ST	OMAHA	NE	68105	DOUGLAS	USA	Aging Research	000	1	7/3/2026	NEW	$172,838
														Subtotal = $172,838

Grand Total All Awards = $172,838

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Bayesian Modeling of Recurrent Cardiovascular Events and Tumor Heterogeneity in Older Adults with Cancer

Award Number: R03AG101065

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 07/01/2026

PERIOD OF PERFORMANCE END DATE: 06/30/2028

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer