Year: 2025
Type: article
Study design: Observational Study
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 significantly differentially expressed in CSCC (p-value ≤ 0.05). Validation by qRT‒PCR confirmed the downregulation of members of the miR-379/656, namely, hsa-miR-376c-3p (2.8-fold; p-value 0.03), hsa-miR-494-3p (3.4-fold; p-value 0.02), hsa-miR-495-3p (eightfold; p-value 0.01), and hsa-miR-409-3p (fivefold; p-value 0.03), in CSCC samples compared with normal samples. The prognostic model generated via miRNA expression and random forest analysis showed robust sensitivity and specificity (0.88 to 0.92) in predicting overall survival. In addition, we report 22 prognostically important miRNAs in CC. Pathway analysis revealed the enrichment of several cancer-related pathways, notably p53, the cell cycle, viral infection and MAPK signalling. CDC25A, CCNE1, E2F1, CCNE2, RBL1, E2F3, CDK2, RBL2, E2F2 and CCND2 were identified as the top ten gene targets of MC. Drug‒gene interaction analysis revealed enrichment of 548 approved drugs and 62 unique genes. CONCLUSION: Our study identified MCs, their target genes, their prognostic utility, and their potential functions in CC and recommended their usefulness in CC management.
Source: Discover Oncology
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,690
Funders: Wellcome Trust, Department of Biotechnology, Ministry of Science and Technology, India, Department of Science and Technology, Ministry of Science and Technology, India, Ministry of Education, India, The Wellcome Trust DBT India Alliance, Scheme for Promotion of Academic and Research Collaboration, Science and Engineering Research Board, Technology Information, Forecasting and Assessment Council
OpenAlex ID: W4407540623