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Dataset Information

Prevalence of predictive biomarkers in a large cohort of molecularly defined adult-type ovarian granulosa cell tumors.


ABSTRACT:

Objective

The objective of this study was to determine the prevalence of predictive biomarkers associated with FDA-approved therapies in molecularly defined adult-type ovarian granulosa cell tumors (aGCTs).

Methods

We performed a retrospective cross-sectional cohort study of tumor profiles using the inclusion criteria of molecularly defined (FOXL2 c.C402G positive) aGCTs previously sequenced at Foundation Medicine, Inc. The dataset included coding variants for up to 406 genes, microsatellite instability, tumor mutational burden, and genomic loss of heterozygosity (gLOH). PD-L1 expression was determined using the tumor proportion score, as measured using the DAKO 22C3 immunohistochemistry assay.

Results

423 tumor profiles met inclusion criteria. The median age at the t

SUBMITTER: Hillman RT 

PROVIDER: S-EPMC9448642 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature