» Articles » PMID: 34291082

Identification of the MA RNA Methylation Regulators WTAP As a Novel Prognostic Biomarker and Genomic Alterations in Cutaneous Melanoma

Overview
Specialty Biology
Date 2021 Jul 22
PMID 34291082
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

The purpose of our research was to establish a gene signature and determine the prognostic value of mA methylation regulators in cutaneous melanoma and WTAP as a protective gene in cutaneous melanoma prognosis, we also evaluated gene mutations in cutaneous melanoma. We downloaded the RNA-seq transcriptome data and the clinical information for cutaneous melanoma patients from the GTEx and TCGA databases. Consensus clustering analysis was applied to divide the samples into two groups. Then the least absolute shrinkage and selection operator (LASSO) analyses were conducted to construct a risk signature, and we use external and internal datasets to verify its predictive value. We further searched the cBioPortal tools to detect genomic alterations and WTAP mutations. Finally, WTAP was further identified as a prognostic factor, and the related mechanisms mediated by WTAP were predicted by gene set enrichment analysis (GSEA). Experimental validations and have been further carried out. Notably, mA RNA methylation regulators play significant roles in tumorigenesis and development. In total, we selected three subtypes of cutaneous melanoma according to consensus clustering of the mA RNA methylation regulators, and the stage of cutaneous melanoma was proven to be related to the subtypes. The Cox regression and LASSO analyses built a risk signature including ELF3, ZC3H13 and WTAP. The prognostic value of the risk signature in internal and external datasets have been proven then. The whole-genome and selected gene WTAP mutations were further explored. WTAP as a single prognostic factor was also explored and found to serve as an independent protective prognostic factor. Our study constructed a stable risk signature composed of mA RNA methylation regulators in cutaneous melanoma. Moreover, WTAP was identified as a valuable prognostic factor and potential molecular target for cutaneous melanoma treatment.

Citing Articles

Influence of RNA Methylation on Cancerous Cells: A Prospective Approach for Alteration of In Vivo Cellular Composition.

Rupareliya M, Shende P Adv Exp Med Biol. 2024; 1474():79-103.

PMID: 39259424 DOI: 10.1007/5584_2024_820.


The crucial roles of mA RNA modifications in cutaneous cancers: Implications in pathogenesis, metastasis, drug resistance, and targeted therapies.

Huang C, Zhang K, Guo Y, Shen C, Liu X, Huang H Genes Dis. 2023; 10(6):2320-2330.

PMID: 37554186 PMC: 10404882. DOI: 10.1016/j.gendis.2022.03.006.


ALKBH5-mediated mA demethylation fuels cutaneous wound re-epithelialization by enhancing PELI2 mRNA stability.

Huang X, Zhao Y, Liu D, Gu S, Liu Y, Khoong Y Inflamm Regen. 2023; 43(1):36.

PMID: 37452367 PMC: 10347733. DOI: 10.1186/s41232-023-00288-0.


Epigenetic Mechanisms Underlying Melanoma Resistance to Immune and Targeted Therapies.

Rubanov A, Berico P, Hernando E Cancers (Basel). 2022; 14(23).

PMID: 36497341 PMC: 9738385. DOI: 10.3390/cancers14235858.


Effect of the m6ARNA gene on the prognosis of thyroid cancer, immune infiltration, and promising immunotherapy.

Xia M, Wang S, Ye Y, Tu Y, Huang T, Gao L Front Immunol. 2022; 13:995645.

PMID: 36389678 PMC: 9664221. DOI: 10.3389/fimmu.2022.995645.


References
1.
Huang R, Li G, Wang Z, Hu H, Zeng F, Zhang K . Identification of an ATP metabolism-related signature associated with prognosis and immune microenvironment in gliomas. Cancer Sci. 2020; 111(7):2325-2335. PMC: 7385348. DOI: 10.1111/cas.14484. View

2.
Chen L, Wang X . Relationship between the genetic expression of WTAP and bladder cancer and patient prognosis. Oncol Lett. 2018; 16(6):6966-6970. PMC: 6256415. DOI: 10.3892/ol.2018.9554. View

3.
Jerby-Arnon L, Shah P, Cuoco M, Rodman C, Su M, Melms J . A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade. Cell. 2018; 175(4):984-997.e24. PMC: 6410377. DOI: 10.1016/j.cell.2018.09.006. View

4.
Wang T, Kong S, Tao M, Ju S . The potential role of RNA N6-methyladenosine in Cancer progression. Mol Cancer. 2020; 19(1):88. PMC: 7216508. DOI: 10.1186/s12943-020-01204-7. View

5.
Leek J . svaseq: removing batch effects and other unwanted noise from sequencing data. Nucleic Acids Res. 2014; 42(21). PMC: 4245966. DOI: 10.1093/nar/gku864. View