Published in

National Academy of Sciences, Proceedings of the National Academy of Sciences, 5(113), p. 1315-1320, 2016

DOI: 10.1073/pnas.1518752113

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Integrated data analysis reveals uterine leiomyoma subtypes with distinct driver pathways and biomarkers

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

Significance The clinical and scientific community widely regards uterine leiomyomas as a single entity, although evidence of genetic heterogeneity exists. The aim of this study was to explore transcriptional differences between leiomyomas harboring different genetic alterations, including high mobility group AT-hook 2 rearrangements, mediator complex subunit 12 mutations, biallelic inactivation of fumarate hydratase, and collagen, type IV, alpha 5-collagen, type IV, alpha 6 deletions. The evidence presented herein strongly suggests that specific driver mutations are the major determinants of expression changes in leiomyomas. Here we highlight subtype-specific expression differences in key driver pathways and emphasize the utility of stratification in leiomyoma research. Finally, we offer a set of candidate biomarkers that will facilitate the molecular classification of leiomyomas.