Identification of differentially expressed MiRNA clusters in cervical cancer.

ABSTRACT:

Background

Aberrant miRNA expression has been associated with cervical cancer (CC) progression. The present study aimed to identify the miRNA clusters (MCs) altered in CC, identify their clinical utility, and understand their biological functions via computational analysis.

Methods

We used small RNA sequencing and qRT‒PCR to identify and validate abnormally expressed MCs in cervical squamous cell carcinoma (CSCC) samples. We compared our data with publicly available CC datasets to identify the differentially expressed MCs in CC. The potential targets, pathways, biological functions, and clinical utility of abnormally expressed MCs were predicted via several computational tools.

Results

Small RNA sequencing revealed that 229 miRNAs belonging to 48 MCs were significantl

SUBMITTER: Sriharikrishnaa S 

PROVIDER: S-EPMC11825440 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature