Investigator

Monika A. Eiva

University Of Pennsylvania

MAEMonika A. Eiva
Papers(2)
Systematic analysis o…<i>PTEN</i> Loss and …
Collaborators(6)
Daniel J. PowellRobert H. VonderheideSusan M DomchekBradley WubbenhorstKara N MaxwellKatherine L. Nathanson
Institutions(2)
University Of Pennsyl…Indiana University Sc…

Papers

Systematic analysis of CD39, CD103, CD137, and PD‐1 as biomarkers for naturally occurring tumor antigen‐specific TILs

Abstract The detection of tumor‐specific T cells in solid tumors is integral to interrogate endogenous antitumor responses and to advance downstream therapeutic applications. Multiple biomarkers are reported to identify endogenous tumor‐specific tumor‐infiltrating lymphocytes (TILs), namely CD137, PD‐1, CD103, and CD39; however, a direct comparison of these molecules has yet to be performed. We evaluated these biomarkers in primary human ovarian tumor samples using single‐cell mass cytometry to compare their relative phenotypic profiles, and examined their response to autologous tumor cells ex vivo. PD‐1 + , CD103 + , and CD39 + TILs all contain a CD137 + cell subset, while CD137 + TILs highly co‐express the aforementioned markers. CD137 + TILs exhibit the highest expression of cytotoxic effector molecules compared to PD‐1 + , CD103 + , or CD39 + TILs. Removal of CD137 + cells from PD‐1 + , CD103 + , or CD39 + TILs diminish their IFN‐γ secretion in response to autologous tumor cell stimulation, while CD137 + TILs maintain high HLA‐dependent IFN‐γ secretion. CD137 + TILs exhibited an exhausted phenotype but with CD28 co‐expression, suggesting possible receptiveness to reinvigoration via immune checkpoint blockade. Together, our findings demonstrate that the antitumor abilities of PD‐1 + , CD103 + , and CD39 + TILs are mainly derived from a subset of CD137‐expressing TILs, implicating CD137 as a more selective biomarker for naturally occurring tumor‐specific TILs.

PTEN Loss and BRCA1 Promoter Hypermethylation Negatively Predict for Immunogenicity in BRCA-Deficient Ovarian Cancer

PURPOSE Ovarian cancers can exhibit a prominent immune infiltrate, but clinical trials have not demonstrated substantive response rates to immune checkpoint blockade monotherapy. We aimed to understand genomic features associated with immunogenicity in BRCA1/2 mutation–associated cancers. MATERIALS AND METHODS Using the Cancer Genome Atlas whole-exome sequencing, methylation, and expression data, we analyzed 66 ovarian cancers with either germline or somatic loss of BRCA1/2 and whole-exome sequencing, immunohistochemistry, and CyTOF in 20 ovarian cancers with germline BRCA1/2 pathogenic variants from Penn. RESULTS We found two groups of BRCA1/2 ovarian cancers differing in their immunogenicity: (1) 37 tumors significantly enriched for PTEN loss (11, 30%) and BRCA1 promoter–hypermethylated (10, 27%; P = .0016) and (2) PTEN wild-type (28 of 29 tumors) cancers, with the latter group having longer overall survival (OS; P = .0186, median OS not reached v median OS = 66.1 months). BRCA1/2-mutant PTEN loss and BRCA1 promoter–hypermethylated cancers were characterized by the decreased composition of lymphocytes estimated by gene expression ( P = .0030), cytolytic index ( P = .034), and cytokine expression but higher homologous recombination deficiency scores ( P = .00013). Large-scale state transitions were the primary discriminating feature ( P = .001); neither mutational burden nor neoantigen burden could explain differences in immunogenicity. In Penn tumors, PTEN loss and high homologous recombination deficiency cancers exhibited fewer CD3+ ( P = .05), CD8+ ( P = .012), and FOXP3+ ( P = .0087) T cells; decreased PRF1 expression ( P = .041); and lower immune costimulatory and inhibitory molecule expression. CONCLUSION Our study suggests that within ovarian cancers with genetic loss of BRCA1/2 are two subsets exhibiting differential immunogenicity, with lower levels associated with PTEN loss and BRCA hypermethylation. These genomic features of BRCA1/2-associated ovarian cancers may inform considerations around how to optimally deploy immune checkpoint inhibitors in the clinic.

2Papers
6Collaborators