Immuno-genomic characterisation of high-grade serous ovarian cancer reveals immune evasion mechanisms and identifies an immunological subtype with a favourable prognosis and improved therapeutic efficacy.

Abstract

BACKGROUND:

Immunotherapy has revolutionised the field of cancer therapy and immunology, but has demonstrated limited therapeutic efficacy in high-grade serous ovarian cancer (HGSOC).

METHODS:

Multi-omics data of 495 TCGA HGSOC tumours and RNA-seq data of 1708 HGSOC tumours were analyzed. Multivariate Cox regression analysis and meta-analyses were used to identify prognostic genes. The immune microenvironment was characterised using the ssGSEA methods for 28 immune cell types. Immunohistochemistry staining of tumour tissues of 14 patients was used to validate the key findings further.

RESULTS:

A total of 1142 genes were identified as favourable prognostic genes, which are prevailing in immune-related pathways and the infiltration of most immune subpopulations was observed to be associated with a favourable prognosis suggesting that tumour immunogenicity was the most prominent factor associated with improved clinical outcomes and response to chemotherapy of HGSOC. We identified multiple genomic and transcriptomic determinants of immunogenicity, including the copy loss of chromosome 4q and deficiencies of the homologous recombination pathway. Finally, an immunological subtype characterised by increased infiltration of activated CD8 T cells and decreased Tregs was associated with favourable prognosis and improved therapeutic efficacy.

CONCLUSIONS:

Our study characterised the immunogenomic landscape and refined the immunological classifications of HGSOC. This may improve the selection of patients with HGSOC who are suitable candidates for immunotherapy.

• Authors: Jie Sun, Congcong Yan, Dandan Xu, Zicheng Zhang, Ke Li, Xiaobo Li, Meng Zhou, Dapeng Hao
• Journal: British journal of cancer (Br J Cancer) Vol. 126 Issue 11 Pg. 1570-1580 (06 2022) ISSN: 1532-1827 [Electronic] England
• PMID: 35017656 (Publication Type: Journal Article, Meta-Analysis, Research Support, Non-U.S. Gov't)
• Copyright: © 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Topics

• Cystadenocarcinoma, Serous (genetics, metabolism, therapy)
• Female
• Genomics
• Humans
• Immune Evasion
• Ovarian Neoplasms (genetics, metabolism, therapy)
• Prognosis
• Tumor Microenvironment (genetics)