Immune Cell Interactions in High-Grade Serous Ovarian Cancer Tumours

dc.contributor.authorLemaire, Kelly
dc.date.accessioned2025-05-07T15:40:09Z
dc.date.available2025-05-07T15:40:09Z
dc.date.issued2025
dc.description.abstractHigh-grade serous ovarian cancer (HGSOC) has had persistently poor long-term survival rates. Prior research has largely focused on individual immune cell types, so understanding their interactions may offer novel insights into tumor biology and patient outcomes. This study analyzed immune cell interactions in the tumor microenvironment using a dataset of 1,078 patients and 1,995 tissue microarray (TMA) cores from the Canadian Ovarian Experimental Unified Resource (COEUR) cohort. Poisson log-linear models were employed to evaluate immune cell triplet associations, while spatial relationships were examined using the cross-K function. Findings indicate that most immune cell pairs and triplets exhibit associations at the TMA core level. However, preliminary spatial analysis suggests that many of these associations do not persist when accounting for spatial distribution. Future work will expand spatial analysis across all immune cell pairs, conduct survival analysis to determine the prognostic significance of spatially associated immune cells, and validate findings in an external cohort. This research aims to enhance the understanding of immune interactions in HGSOC and potentially inform new therapeutic strategies.
dc.description.reviewstatusReviewed
dc.description.scholarlevelUndergraduate
dc.description.sponsorshipJamie Cassels Undergraduate Research Awards (JCURA)
dc.identifier.urihttps://hdl.handle.net/1828/22169
dc.publisherUniversity Of Victoria
dc.subjecthigh-grade serous ovarian cancer
dc.subjecttumour microenvironment
dc.subjectimmune cell interactions
dc.titleImmune Cell Interactions in High-Grade Serous Ovarian Cancer Tumours
dc.typePoster

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