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Active NON-SBIR/STTR RPGS NIH (US)

Risk-stratified care for thyroid cancer survivors

$6.87M USD

Funder NATIONAL CANCER INSTITUTE
Recipient Organization University of Michigan At Ann Arbor
Country United States
Start Date Apr 16, 2024
End Date Mar 31, 2029
Duration 1,810 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10871954
Grant Description

Project Summary There has been an increase in the number of thyroid cancer survivors due to the rise in thyroid cancer incidence and young age at diagnosis. Although a substantial proportion of these survivors were likely cured with initial treatment, due to limited data and subsequent inability of physicians to confidently risk-stratify,

surveillance for recurrence continues for many years, often lifelong. Unnecessary surveillance results in cancer-related worry, additional testing leading to false positive test results, and in some instances, complications from additional treatments. Through our collaboration with SEER sites Georgia (includes Atlanta,

Greater Georgia, Rural Georgia) and Los Angeles County, we will have access to diverse, population-based cohorts of patients, in whom we can determine recurrence risk as well as current and optimal long-term surveillance. Our multipronged data collection strategy will allow us to obtain recurrence details from pathology

reports, augmented with mortality data, patient report, and physician chart review and reporting. External validation will occur with use of the comprehensive University of Michigan Precision Health data. We will determine characteristics of cohorts at lower and higher risk of cancer recurrence, use these data to inform

more tailored surveillance care pathways, and then refine surveillance care pathways after assessing trade- offs and net benefit. The ability to categorize thyroid cancer survivors into meaningful recurrence risk-stratified groups, tailor surveillance care pathways to recurrence risk, and then refine surveillance care pathways after

assessing trade-offs will inform appropriate long-term follow-up, reduce patient harm, and improve healthcare costs. This study will dramatically change the care of thyroid cancer patients and will serve as a model for risk- stratified surveillance for other cancer types.

All Grantees

University of Michigan At Ann Arbor

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