MiR-381-3p/TET3 axis promotes cervical cancer: A bioinformatic integrative analysis

Cervical cancer (CC) is a global public health problem. Epigenetic factors, such as microRNAs, play a key role in the development of CC. Although a previous study reported that miR-381-3p inhibits CC by downregulating fibroblast growth factor 7, its role in CC remains largely unknown. This study aimed to fill the gap by analyzing the role of miR-381-3p in CC. Expression analysis was performed using databases including The Cancer Genome Atlas, Gene Expression Omnibus, and the Human Protein Atlas. Receiver operating characteristics and Kaplan–Meier curves were plotted using GraphPad Prism and Kaplan–Meier Plotter databases. Target messenger RNAs were identified using the miRDB and miRPathDB databases. Kyoto Encyclopedia of Genes and Genomes, Gene Ontology Biological Process, and Gene Set Enrichment Analysis were performed using Enrichr and WebGestalt databases. Mutation analysis was conducted using the cBioPortal database. In this study, we found that miR-381-3p expression is low in CC. Moreover, we identified a total of 1,191 potential targets of miR-381-3p that may be involved in key signaling pathways in this cancer. Interestingly, our results identified ten-eleven translocation 3 (TET3) as a potential target, with evidence suggesting that TET3 expression is increased in CC. This increase in TET3 expression may be useful as a diagnostic and prognostic biomarker. In addition, four mutations were identified in the TET3 protein. TET3 expression increases in patients with International federation of gynecology and obstetrics stage II CC and in those with lymph node metastasis. Mechanistically, TET3 expression may be induced by a gain in copy number, human papillomavirus infection, aberrant methylation, and activation of the transcription factor activator protein 2α. Finally, we identified 145 genes that are regulated by TET3 in CC, which are involved in key pathways and biological processes associated with CC, such as the cell cycle, DNA replication, mitogen-activated protein kinase signaling pathway, and basal transcription factors. In conclusion, we identified the miR-381-3p/TET3 axis as a key player in the carcinogenic process of CC.

Authors

Publication Details

Journal
Cancer Plus
Published
2024-09-12
DOI
https://doi.org/10.36922/cp.3884
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MiR-381-3p/TET3 axis promotes cervical cancer: A bioinformatic integrative analysis

Hilda Jiménez Wences, Ana Elvira Zacapala-Gómez, Gabriela Elizabeth Campos Viguri, Verónica Antonio Vejar et al.
Cancer Plus
Radiomics and Machine Learning in Medical Imaging
article

MiR-381-3p/TET3 axis promotes cervical cancer: A bioinformatic integrative analysis

Hilda Jiménez Wences, Ana Elvira Zacapala-Gómez, Gabriela Elizabeth Campos Viguri, Verónica Antonio Vejar, Eric Genaro Salmerón Bárcenas, Pedro López, Francisco Israel Torres Rojas, Julio Ortíz Ortíz
article en

Abstract

Cervical cancer (CC) is a global public health problem. Epigenetic factors, such as microRNAs, play a key role in the development of CC. Although a previous study reported that miR-381-3p inhibits CC by downregulating fibroblast growth factor 7, its role in CC remains largely unknown. This study aimed to fill the gap by analyzing the role of miR-381-3p in CC. Expression analysis was performed using databases including The Cancer Genome Atlas, Gene Expression Omnibus, and the Human Protein Atlas. Receiver operating characteristics and Kaplan–Meier curves were plotted using GraphPad Prism and Kaplan–Meier Plotter databases. Target messenger RNAs were identified using the miRDB and miRPathDB databases. Kyoto Encyclopedia of Genes and Genomes, Gene Ontology Biological Process, and Gene Set Enrichment Analysis were performed using Enrichr and WebGestalt databases. Mutation analysis was conducted using the cBioPortal database. In this study, we found that miR-381-3p expression is low in CC. Moreover, we identified a total of 1,191 potential targets of miR-381-3p that may be involved in key signaling pathways in this cancer. Interestingly, our results identified ten-eleven translocation 3 (TET3) as a potential target, with evidence suggesting that TET3 expression is increased in CC. This increase in TET3 expression may be useful as a diagnostic and prognostic biomarker. In addition, four mutations were identified in the TET3 protein. TET3 expression increases in patients with International federation of gynecology and obstetrics stage II CC and in those with lymph node metastasis. Mechanistically, TET3 expression may be induced by a gain in copy number, human papillomavirus infection, aberrant methylation, and activation of the transcription factor activator protein 2α. Finally, we identified 145 genes that are regulated by TET3 in CC, which are involved in key pathways and biological processes associated with CC, such as the cell cycle, DNA replication, mitogen-activated protein kinase signaling pathway, and basal transcription factors. In conclusion, we identified the miR-381-3p/TET3 axis as a key player in the carcinogenic process of CC.

Cancer PlusVol. 0(0)
Openalex Percentile: Top 74%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.