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Published in: Journal of Translational Medicine 1/2021

Open Access 01-12-2021 | Pancreatic Cancer | Research

Genetic alterations and functional networks of m6A RNA methylation regulators in pancreatic cancer based on data mining

Authors: Juan Zeng, Heying Zhang, Yonggang Tan, Zhe Wang, Yunwei Li, Xianghong Yang

Published in: Journal of Translational Medicine | Issue 1/2021

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Abstract

Background

Pancreatic cancer is a fatal malignancy of the digestive system and the 5-year survival rate remains low. Therefore, new molecular therapeutic targets are required to improve treatments, prognosis, and the survival of patients. N6-methyladenosine (m6A) is the most prevalent reversible methylation in mammalian messenger RNA (mRNA) and has critical roles in the tumorigenesis and metastasis of various malignancies. However, the role of m6A in pancreatic cancer is still unclear. Exploring genetic alterations and functional networks of m6A regulators in pancreatic cancer may provide new strategies for its treatment.

Methods

In this study, we used data from the Cancer Genome Atlas (TCGA) database and other public databases through cBioPortal, LinkedOmics, UALCAN, GEPIA, STRING, and the database for annotation, visualization, and integrated discovery (DAVID) to systematically analyze the molecular alterations and functions of 20 main m6A regulators in pancreatic cancer.

Results

We found that m6A regulators had widespread genetic alterations, and that their expression levels were significantly correlated with pancreatic cancer malignancy. Moreover, m6A regulators were associated with the prognosis of pancreatic cancer patients.

Conclusions

m6A regulators play a crucial part in the occurrence and development of pancreatic cancer. Our study will guide further studies of m6A RNA modification in pancreatic cancer and could potentially provide new strategies for pancreatic cancer treatment.
Appendix
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Metadata
Title
Genetic alterations and functional networks of m6A RNA methylation regulators in pancreatic cancer based on data mining
Authors
Juan Zeng
Heying Zhang
Yonggang Tan
Zhe Wang
Yunwei Li
Xianghong Yang
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2021
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-021-03001-2

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