Abstract A067: Characterizing the ovarian cancer immune microenvironment in a syngeneic murine model

Abstract Ovarian cancer (OvCa) is the deadliest gynecologic malignancy and, unfortunately, there are no effective salvage therapies for patients with refractory or resistant (r/r) disease. This is due in part to a limited understanding of the tumor microenvironment (TME), the marked differences between tumors established in different metastatic niches, and how the TME may change in the context of therapy resistance. OvCa uniquely metastasizes through peritoneal spread, resulting in various tumor niches with distinct tumor mutational burdens within the same patient. These niches have not been well characterized in murine models of OvCa and contribute to continued ineffective therapeutic interventions for r/r OvCa. To better define the ovarian cancer TME, we are utilizing orthotopic syngeneic murine models sensitive and resistant to the FDA approved PARP inhibitor (PARPi), Olaparib, ID8 and ID8-OR respectively. This model has both TP53 and BRCA2 deletion, recapitulating the mutational status of OvCa patients likely to receive a PARPi. After tumor establishment, ascites as well as solid tumors at distinct tumor sites were collected and dissociated for further analysis. Using flow cytometric assays, we characterized the T cell infiltrate within the TME at distinct niches and surface marker expression on the tumor cells. These data confirm the presence of tumor infiltrating T cells within the OvCa TME across different tumor niches. We observed that the tumor infiltrating T cell percentage as well as their phenotype varies across the different metastatic niches of this disease. We observe a greater percentage of T cells present in the ascites as compared to the other metastatic sites including the omentum, the ovaries, and the bowel wall. Additionally, we observe a greater percentage of T-regulatory cells in PARPi-resistant omental tumors. Interestingly, while we do observe CD4+ and CD8+ T cells in the collected tumors, we do not see consistent expression of markers associated with either activation or exhaustion. Further studies are required to better characterize the functionality of the tumor infiltrating T cells. The data generated from these studies will inform the development of successful salvage immunotherapies for relapsed and refractory patients with ovarian cancer. Citation Format: Alexandra N. McMellen, Michael S. Leibowitz, Benjamin G. Bitler. Characterizing the ovarian cancer immune microenvironment in a syngeneic murine model [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Ovarian Cancer Research; 2025 Sep 19-21; Denver, CO. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl):Abstract nr A067.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-09-19
DOI
https://doi.org/10.1158/1538-7445.ovarian25-a067
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract A067: Characterizing the ovarian cancer immune microenvironment in a syngeneic murine model

Benjamin G. Bitler, Michael S. Leibowitz, Alexandra McMellen
Cancer Research
Ferroptosis and cancer prognosis
article

Abstract A067: Characterizing the ovarian cancer immune microenvironment in a syngeneic murine model

Benjamin G. Bitler, Michael S. Leibowitz, Alexandra McMellen
article en

Abstract

Abstract Ovarian cancer (OvCa) is the deadliest gynecologic malignancy and, unfortunately, there are no effective salvage therapies for patients with refractory or resistant (r/r) disease. This is due in part to a limited understanding of the tumor microenvironment (TME), the marked differences between tumors established in different metastatic niches, and how the TME may change in the context of therapy resistance. OvCa uniquely metastasizes through peritoneal spread, resulting in various tumor niches with distinct tumor mutational burdens within the same patient. These niches have not been well characterized in murine models of OvCa and contribute to continued ineffective therapeutic interventions for r/r OvCa. To better define the ovarian cancer TME, we are utilizing orthotopic syngeneic murine models sensitive and resistant to the FDA approved PARP inhibitor (PARPi), Olaparib, ID8 and ID8-OR respectively. This model has both TP53 and BRCA2 deletion, recapitulating the mutational status of OvCa patients likely to receive a PARPi. After tumor establishment, ascites as well as solid tumors at distinct tumor sites were collected and dissociated for further analysis. Using flow cytometric assays, we characterized the T cell infiltrate within the TME at distinct niches and surface marker expression on the tumor cells. These data confirm the presence of tumor infiltrating T cells within the OvCa TME across different tumor niches. We observed that the tumor infiltrating T cell percentage as well as their phenotype varies across the different metastatic niches of this disease. We observe a greater percentage of T cells present in the ascites as compared to the other metastatic sites including the omentum, the ovaries, and the bowel wall. Additionally, we observe a greater percentage of T-regulatory cells in PARPi-resistant omental tumors. Interestingly, while we do observe CD4+ and CD8+ T cells in the collected tumors, we do not see consistent expression of markers associated with either activation or exhaustion. Further studies are required to better characterize the functionality of the tumor infiltrating T cells. The data generated from these studies will inform the development of successful salvage immunotherapies for relapsed and refractory patients with ovarian cancer. Citation Format: Alexandra N. McMellen, Michael S. Leibowitz, Benjamin G. Bitler. Characterizing the ovarian cancer immune microenvironment in a syngeneic murine model [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Ovarian Cancer Research; 2025 Sep 19-21; Denver, CO. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl):Abstract nr A067.

Cancer ResearchVol. 85(18_Supplement)
University of Colorado Anschutz Medical Campus (US)
Openalex Percentile: Top 63%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.