115
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

MiR-150 and miR-155 expression predicts survival of cervical cancer patients: a translational approach to novel prognostic biomarkers

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 617-627 | Received 21 Jun 2023, Accepted 01 Oct 2023, Published online: 15 Nov 2023
 

Abstract

Introduction

High-risk human papillomavirus (HPV) is the aetiological agent of cervical cancer, which remains the fourth leading cause of cancer death in women worldwide. K14-HPV16 transgenic mice are a model for HPV-induced cancers, which undergo multistep squamous carcinogenesis at the skin, that is histologically and molecularly similar to carcinogenesis of the human cervix. Previous screens of differentially regulated microRNAs (miRs) using K14-HPV16 mice showed a role for miR-21, miR-155, miR-150, miR-146a, miR-125b and miR-223 during carcinogenesis.

Methods

We now aim to translate these observations into the clinical setting, using data provided by The Cancer Genome Atlas (TCGA) to explore whether those microRNAs can influence the survival of cervical cancer patients.

Results

Results showed that low miR-150, miR-155 and miR-146a expression levels in primary tumours were associated with poor overall survival. However, only miR-150 and miR-155 were found to be independent predictors, increasing the risk of death. When patients were stratified by clinical stage, low miR-150, miR-155, miR-146a and miR-125b were associated with poor survival for clinical stages I and II. Only low miR-150 expression increased the death risk.

Conclusion

We conclude that miR-150 and miR-155 may be potentially applied as prognostic biomarkers in cervical cancer patients. However, further investigation is required to determine their applicability.

Acknowledgements

The results published here are in whole or part based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga.

Author contributions

Conceptualization, J.M.O.S., R.M.G.d.C., R.M.; methodology, J.M.O.S.; software, J.M.O.S., V.T.; data curation, J.M.O.S.; formal analysis, J.M.O.S., V.T. and R.M.; writing—original draft preparation, J.M.O.S.; writing—review and editing, V.T., R.M.G.d.C., R.M.; supervision, R.M.G.d.C. and R.M.; All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Data availability statement

The results of the present study are based on data available on The Cancer Genome Atlas (https://www.cancer.gov/tcga) and OncoMiR Cancer Database (https://www.oncomir.umn.edu/omcd/).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 527.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.