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Dataset Information

A four-gene signature identified by integrated transcriptomic analysis for differential diagnosis and prognosis of uterine smooth muscle tumors.


ABSTRACT:

Introduction

Uterine leiomyomas (ULM) and uterine leiomyosarcomas (ULMS) are smooth muscle tumors of the uterus that share overlapping histopathological features but exhibit markedly different biological behaviors and clinical outcomes. Whereas ULMs are benign, ULMS are rare yet highly aggressive. Clinically, accurately distinguishing tumor tissue from normal myometrial tissue remains challenging, particularly due to substantial uncertainty in preoperative diagnosis. In this study, we aim to identify molecular biomarkers capable of distinguishing uterine smooth muscle tumors (including ULM and ULMS) from normal myometrium in order to uncover driver genes involved in tumorigenesis.

Methods

We analyzed RNA-seq datasets from the Gene Expression Omnibus (GEO) and The Cancer Geno

SUBMITTER: Hu H 

PROVIDER: S-EPMC12358259 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature