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Spatial and Bayesian modeling methods for assessment of the tumor immune microenvironment and survival of women with ovarian cancer

Award Number: R01CA279065
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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Spatial and Bayesian modeling methods for assessment of the tumor immune microenvironment and survival of women with ovarian cancer - PROJECT SUMMARY/ABSTRACT Multiplex immunofluorescence (mIF) microscopy and accompanying automated image analysis is a widely used technique which allows for the assessment and visualization of the tumor immune microenvironment (TIME). Generally, mIF data has been used to simply examine the presence and abundance of immune cells in cancer patients; however, this aggregate measure assumes uniform patterns of immune cells and overlooks spatial heterogeneity. The spatial contexture of the TIME has not been adequately explored, in part due to the lack of available analytical approaches and tools. Therefore, the goal of this research is to develop novel statistical methods and software for the downstream analysis of mIF data. We will apply these methods to the study of epithelial ovarian cancer (EOC), the deadliest gynecologic malignancy in the US, to develop an immunoscore predictive of survival among EOC patients. Aim 1 is focused on developing spatial statistical approaches for the analysis of mIF data which leverages the spatial architecture of the TIME. Aim 2 will develop Bayesian models for the analysis of mIF data which accounts for the zero-inflated and over-dispersed nature of the immune count data for determination of immune subtypes. Lastly, Aim 3 will characterize the immune landscape of ovarian tumors and develop an immunoscore (Oimmuno) predictive of survival using existing mIF data from ~2,500 diverse EOC patients enrolled in established epidemiological studies. We will validate the Oimmuno by generating targeted mIF data in two independent cohorts, each with more than 1,200 EOC patients. In summary, this proposal will develop and test novel statistical methods for the analysis of mIF data that incorporates the spatial heterogeneity of the TIME, in addition to abundance measures of immune cells, producing freely available software that can be used in the study of EOC or adapted for use in other cancer types. The derivation of methods to quantify the spatial contexture of immune cells has important applications as such biomarker discovery for predictors of outcomes and therapeutic efficacy in cancer patients, ultimately reducing cancer mortality.


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 = $0 )
2025	2023	CHILDRENS MERCY HOSPITAL	2401 GILLHAM RD	KANSAS CITY	MO	64108	JACKSON	USA	Cancer Biology Research	001	2	2/20/2025	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$88,194
2025	2023	H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE HOSPITAL, INC.	12902 USF MAGNOLIA DR	TAMPA	FL	33612	HILLSBOROUGH	USA	Cancer Biology Research	000	1	2/20/2025	NEW	-$88,194
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $508,680 )
2024	2024	CHILDRENS MERCY HOSPITAL	2401 GILLHAM RD	KANSAS CITY	MO	64108	JACKSON	USA	Cancer Biology Research	002	3	5/1/2024	NON-COMPETING CONTINUATION	$508,680
2024	2023	CHILDRENS MERCY HOSPITAL	2401 GILLHAM RD	KANSAS CITY	MO	64108	JACKSON	USA	Cancer Biology Research	001	2	3/12/2024	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$269,992
2024	2023	H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE HOSPITAL, INC.	12902 USF MAGNOLIA DR	TAMPA	FL	33612	HILLSBOROUGH	USA	Cancer Biology Research	000	1	3/12/2024	NEW	-$269,992
														Subtotal = $508,680

Issue Date FY: 2023 ( Subtotal = $574,038 )
2023	2023	H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE HOSPITAL, INC.	12902 MAGNOLIA DR	TAMPA	FL	33612	HILLSBOROUGH	USA	Cancer Biology Research	000	1	4/17/2023	NEW	$574,038
														Subtotal = $574,038

Grand Total All Awards = $1,082,718

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Spatial and Bayesian modeling methods for assessment of the tumor immune microenvironment and survival of women with ovarian cancer

Award Number: R01CA279065

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

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