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Evaluation of Patient Factors and Sample Pre-Analytics on Predictive Multiplex Immunohistochemical Assays in Immuno-Oncology Patients

Award Number: U01CA263986
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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Evaluation of Patient Factors and Sample Pre-Analytics on Predictive Multiplex Immunohistochemical Assays in Immuno-Oncology Patients - Project Summary/Abstract Therapies against immunologic checkpoint proteins, such as PD-L1, have revolutionized the treatment of multiple malignancies, such as malignant melanoma, lung cancer, bladder cancer, or gastroesophageal cancer. All of these therapies depend on predictive biomarker assays for PD-L1 protein expression in tumor tissue to identify patients who will most likely respond. PD-L1 assays face two significant challenges: (i) they often need to be performed on small tissue biopsies where tumor tissue is limited and (ii) the threshold for positivity by immunohistochemistry (1%) is very small, highlighting crucial dependence on utmost precision and pre-analytical sample validity. To address the issue of small and limited samples in biopsies, we have developed a chromogenic multiplexed immunohistochemical assay that combines PD-L1 assessment with tissue and cell type-specific markers to provide a combined diagnostic and predictive assay on a single histologic slide. To move multiplexed assays around PD-L1 into the clinic, there exists an important knowledge gap: what are the patient-specific factors and specimen-related pre-analytical variables that can influence the readout of PD-L1 positivity? Very limited knowledge is available about these variables. Importantly, because the PD-L1 positivity threshold is so low and requires the reliable separation of two very small numbers (<1% vs. ≥1%), even minute pre-analytical variabilities would be expected to have significant negative impact on assay validity. In that respect, PD-L1 testing in tissue is particularly in need of extensive characterization and control of pre-analytical variability, even more so than other assays whose cut-off points lie in more favorable ranges. Our proposal is based on the hypothesis that both patient-specific factors (such as molecular features of the cancer, current immune status, prior drug therapy, etc.) and specimen-related factors (such as timing of biopsy, size of tissue, ischemic time, fixation protocol, etc.) can significantly influence subsequent biomarker measurements. We further hypothesize that solid knowledge about these influences will allow controlling for and mitigating patient-specific and specimen-related effects and will lead to more accurate and valid biomarker assessment. Aim 1: We will create a cohort to test the influence of patient-specific context factors. We will make use of our extensive immuno-oncology database and biobank of >5,000 patients. Aim 2: We will test how specimen-related pre-analytical variables affect the assay using a wide variety of fresh, frozen, and formalin fixed tissue types and sizes. Aim 3: Once we have defined optimal patient- specific and specimen-related procedures, we will validate our multiplex assay in a prospective cohort of immunotherapy patients at MSKCC. Significance: This project will yield abundant data about the pre-analytical variables that influence a PD-L1 multiplex immunohistochemistry assay. These data will inform optimal specimen acquisition and handling and strategies for avoiding or mitigating inaccurate assay results. Innovation: This will be the first study to systematically explore both patient context factors and specimen pre-analytics in multiplexed immunohistochemical testing for immuno-oncology. Our close collaboration with commercial test developers as part of our research team will accelerate the translation of our scientific findings into optimized assays for the direct benefit of patients.


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 = $220,834 )
2025	2025	BETH ISRAEL DEACONESS MEDICAL CENTER, INC.	330 BROOKLINE AVE	BOSTON	MA	02215	SUFFOLK	USA	Cancer Treatment Research	000	4	1/20/2025	NON-COMPETING CONTINUATION	$220,834
														Subtotal = $220,834

Issue Date FY: 2024 ( Subtotal = $364,751 )
2024	2024	BETH ISRAEL DEACONESS MEDICAL CENTER, INC	330 BROOKLINE AVE	BOSTON	MA	02215	SUFFOLK	USA	Cancer Treatment Research	002	3	12/11/2023	NON-COMPETING CONTINUATION	$344,507
2024	2024	BETH ISRAEL DEACONESS MEDICAL CENTER, INC.	330 BROOKLINE AVE	BOSTON	MA	02215	SUFFOLK	USA	Cancer Treatment Research	003	3	4/17/2024	NON-COMPETING CONTINUATION	$20,244
2024	2023	BETH ISRAEL DEACONESS MEDICAL CENTER, INC.	330 BROOKLINE AVE	BOSTON	MA	02215	SUFFOLK	USA	Cancer Treatment Research	001	2	12/5/2023	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$19,893
2024	2022	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Treatment Research	000	1	12/5/2023	NEW	-$19,893
														Subtotal = $364,751

Issue Date FY: 2023 ( Subtotal = -$2,471 )
2023	2023	BETH ISRAEL DEACONESS MEDICAL CENTER, INC	330 BROOKLINE AVE	BOSTON	MA	02215	SUFFOLK	USA	Cancer Treatment Research	001	2	8/31/2023	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$201,131
2023	2022	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVENUE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Treatment Research	000	1	8/16/2023	NEW	-$203,602
														Subtotal = -$2,471

Issue Date FY: 2022 ( Subtotal = $404,888 )
2022	2022	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Treatment Research	000	1	9/8/2022	NEW	$404,888
														Subtotal = $404,888

Grand Total All Awards = $988,002

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Evaluation of Patient Factors and Sample Pre-Analytics on Predictive Multiplex Immunohistochemical Assays in Immuno-Oncology Patients

Award Number: U01CA263986

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: COOPERATIVE AGREEMENT

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

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