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An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses

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Characterization of the Immunogenomic Landscape of Ovarian Cancer Uncovers a Distinct Subset of Endometroid Tumors

James Boyle¹, Jan Zaucha¹, Felicia Ng¹

¹Oncology Data Science, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, United Kingdom.

Cancer Research Communications

|December 18, 2025

Summary

Understanding ovarian cancer

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Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

Area of Science:

Oncology
Immunology
Genomics

Background:

Ovarian cancers exhibit diverse immunogenomic profiles despite similar histology.
Optimal treatment requires understanding these immunogenomic differences.

Purpose of the Study:

To identify key drivers of inter-tumour heterogeneity in ovarian cancer.
To explore immunogenomic profiles beyond histological subtypes.

Main Methods:

Integrated analysis of somatic mutation, mRNA expression, and multiplex immunofluorescence data.
Utilized a multi-modal latent variable model on 197 ovarian cancer patients.

Main Results:

Gene expression and immune infiltration in the tumour core/margin drive most heterogeneity.
Somatic mutations differentiate high-grade serous from other subtypes.
Endometrioid ovarian cancers show distinct immunogenomic features with improved prognosis.

Conclusions:

Ovarian cancer classification and treatment should evolve beyond histology.
Patient-specific tumour microenvironments offer targeted immuno-oncology opportunities.
Collagen gene expression correlates with fibroblast infiltration and reduced proliferation.