Immune environment and antigen specificity of the T cell receptor repertoire of malignant ascites in ovarian cancer

Author:

Yoshida-Court KyokoORCID,Karpinets Tatiana V.,Mitra Aparna,Solley Travis N.,Dorta-Estremera Stephanie,Sims Travis T.,Delgado Medrano Andrea Y.,El Alam Molly B.,Ahmed-Kaddar Mustapha,Lynn Erica J.,Sastry K. Jagannadha,Zhang Jianhua,Futreal Andrew,Nick Alpa,Lu Karen,Colbert Lauren E.,Klopp Ann H.ORCID

Abstract

We evaluated the association of disease outcome with T cell immune-related characteristics and T cell receptor (TCR) repertoire in malignant ascites from patients with high-grade epithelial ovarian cancer. Ascitic fluid samples were collected from 47 high-grade epithelial ovarian cancer patients and analyzed using flow cytometry and TCR sequencing to characterize the complementarity determining region 3 TCR β-chain. TCR functions were analyzed using the McPAS-TCR and VDJ databases. TCR clustering was implemented using Grouping of Lymphocyte Interactions by Paratope Hotspots software. Patients with poor prognosis had ascites characterized by an increased ratio of CD8+ T cells to regulatory T cells, which correlated with an increased productive frequency of the top 100 clones and decreased productive entropy. TCRs enriched in patients with an excellent or good prognosis were more likely to recognize cancer antigens and contained more TCR reads predicted to recognize epithelial ovarian cancer antigens. In addition, a TCR motif that is predicted to bind theTP53neoantigen was identified, and this motif was enriched in patients with an excellent or good prognosis. Ascitic fluid in high-grade epithelial ovarian cancer patients with an excellent or good prognosis is enriched with TCRs that may recognize ovarian cancer-specific neoantigens, including mutatedTP53andTEAD1. These results suggest that an effective antigen-specific immune response in ascites is vital for a good outcome in high-grade epithelial ovarian cancer.

Funder

American Cancer Society

National Cancer Institute

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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