A patient stratification signature mirrors the immunogenic potential of high grade serous ovarian cancers.

ABSTRACT:

Background

While high-grade serous ovarian cancer (HGSC) has proven largely resistant to immunotherapy, sporadic incidents of partial and complete response have been observed in clinical trials and case reports. These observations suggest that a molecular basis for effective immunity may exist within a subpopulation of HGSC. Herein, we developed an algorithm, CONSTRU (Computing Prognostic Marker Dependencies by Successive Testing of Gene-Stratified Subgroups), to facilitate the discovery and characterization of molecular backgrounds of HGSC that confer resistance or susceptibility to protective anti-tumor immunity.

Methods

We used CONSTRU to identify genes from tumor expression profiles that influence the prognostic power of an established immune cytolytic activity signature

SUBMITTER: Berry LK 

PROVIDER: S-EPMC11577735 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature