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Thyroid Nodule Treatment Optimization: A Personalized Approach

Award Number: R37CA231957
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 08/01/2019
PERIOD OF PERFORMANCE END DATE: 07/31/2026

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Thyroid Nodule Treatment Optimization: A Personalized Approach - Project Summary / Abstract Thyroid nodules, present in over 30% of the U.S. population, are associated with significant morbidity and health resource utilization. Thyroid cancer currently affects over ½ million Americans. A reported increasing incidence is primarily attributed to the diagnosis of indolent papillary thyroid carcinoma (PTC) that has led to changes in clinical guidelines to less aggressive interventions. There is a critical need to identify the minority of patients with in increasing incidence of aggressive disease, while minimizing over-treatment in those patients with indolent PTC. Despite the public health impact thyroid nodule disease, few data exist on the impact of our clinical strategies and conducting clinical trials in this population is prohibitively time-consuming and costly. Our overarching goals are to enhance the health and minimize harm to the large number of patients with thyroid nodules. The specific objective of this proposal is to harness a comprehensive computer model to simulate individuals with benign and malignant nodules in the U.S. population to identify optimal personalized treatment approaches. This proposal builds on three tenets: First, contemporary research considers thyroid cancer in isolation from the more common benign nodular disease, missing the impact of the morbidity and cost associated with identifying those cancers. Secondly, there is a direct correlation between screening and diagnosis of thyroid cancer. It is imperative to consider the underlying reservoir of disease when assessing the effects of potential diagnostic and surveillance strategies. Lastly, while recent shifts in practice have been towards less aggressive management to minimize over- treatment, there is the potential to miss small, potentially lethal, thyroid cancer subtypes. The applicant is an Early Stage Investigator with expertise in thyroid nodular disease. Our team of a multidisciplinary group of experts, including decision scientists and statisticians will refine and expand on our mathematical model that simulates the pre-clinical course of both benign and malignant thyroid nodules (Aim 1) to identify the effectiveness of diagnostic biomarkers to guide treatment strategies (Aim 2) and assess the impact of risk-stratified surveillance approaches to patients with both thyroid nodular disease (Aim 3). Successful completion of the aims will inform our understanding of the health and economic consequences of our current clinical practices in the treatment of patients with thyroid nodular disease. Ultimately, we will identify patient management strategies that will identify aggressive disease while reducing morbidity both from recurrent disease and ineffective medical and surgical interventions.


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: 2025 ( Subtotal = $499,823 )
2025	2025	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	002	7	7/11/2025	NON-COMPETING CONTINUATION	$499,823
2025	2024	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	001	6	3/5/2025	EXTENSION WITH OR WITHOUT FUNDS	$33,542
2025	2023	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	5	3/5/2025	NON-COMPETING CONTINUATION	-$33,542
														Subtotal = $499,823

Issue Date FY: 2024 ( Subtotal = $474,833 )
2024	2024	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	6	8/29/2024	EXTENSION WITH OR WITHOUT FUNDS	$474,833
														Subtotal = $474,833

Issue Date FY: 2023 ( Subtotal = $492,760 )
2023	2023	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	5	7/6/2023	NON-COMPETING CONTINUATION	$492,760
														Subtotal = $492,760

Issue Date FY: 2022 ( Subtotal = $502,816 )
2022	2022	MASSACHUSETTS GENERAL HOSPITAL, THE	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	4	7/18/2022	NON-COMPETING CONTINUATION	$502,816
														Subtotal = $502,816

Issue Date FY: 2021 ( Subtotal = $502,816 )
2021	2021	MASSACHUSETTS GENERAL HOSPITAL, THE	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	3	8/25/2021	NON-COMPETING CONTINUATION	$502,816
														Subtotal = $502,816

Issue Date FY: 2020 ( Subtotal = $571,119 )
2020	2020	MASSACHUSETTS GENERAL HOSPITAL, THE	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	2	7/23/2020	NON-COMPETING CONTINUATION	$571,119
														Subtotal = $571,119

Issue Date FY: 2019 ( Subtotal = $562,778 )
2019	2019	MASSACHUSETTS GENERAL HOSPITAL, THE	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	1	7/5/2019	NEW	$562,778
														Subtotal = $562,778

Grand Total All Awards = $3,606,945

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Thyroid Nodule Treatment Optimization: A Personalized Approach

Award Number: R37CA231957

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 08/01/2019

PERIOD OF PERFORMANCE END DATE: 07/31/2026

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