Cargando…

Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis

BACKGROUND: The incidence and mortality of melanoma is increasing around the world. To deeply explain the mechanism insight into it, we conducted a systematic analysis to examine the levels of regulatory genes of the common RNA epigenetic modification-N6-methyladenosine (m(6)A) in patients with mela...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Tengda, Gu, Mingli, Deng, Anmei, Qian, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294677/
https://www.ncbi.nlm.nih.gov/pubmed/32549786
http://dx.doi.org/10.1186/s12935-020-01309-5
_version_ 1783546530902310912
author Li, Tengda
Gu, Mingli
Deng, Anmei
Qian, Cheng
author_facet Li, Tengda
Gu, Mingli
Deng, Anmei
Qian, Cheng
author_sort Li, Tengda
collection PubMed
description BACKGROUND: The incidence and mortality of melanoma is increasing around the world. To deeply explain the mechanism insight into it, we conducted a systematic analysis to examine the levels of regulatory genes of the common RNA epigenetic modification-N6-methyladenosine (m(6)A) in patients with melanoma compared by the healthy. METHODS: We analyzed the expression of m(6)A Eraser, Writer, and Reader genes based on publicly available datasets on Oncomine and validated the results with a gene expression omnibus dataset. Hub genes were identified with Cytohubba and the frequency of copy number alterations was analyzed with the cBioPortal tool. RESULTS: The results revealed the up-regulation of YTHDF1 and HNRNPA2B1 in melanoma. Combining the two genes improved the efficacy in diagnosing melanoma by about 10% compared to each gene alone. Hub genes identified with four analysis methods were compared and the overlapping genes were selected. These genes were enriched in several gene ontology terms. Genes related to p53-signaling consisted of CDK2, CDK1, RRM2, CCNB1, and CHEK1. All five genes were positively correlated with either YTHDF1 or HNRNPA2B1, suggesting that both genes may affect m(6)A modification by the five genes, further up-regulating their expression and facilitate their roles in inhibiting p53 to suppress tumorigenesis. We also observed major mutations in YTHDF1 and HNRNPA2B1 that led to their amplification in melanoma. Significant differences were observed in the clinical characteristics of patients with altered and unaltered m(6)A regulatory genes such as tumor stage and treatment response. CONCLUSIONS: We, for the first time, identified a combination of m(6)A regulatory genes to diagnose melanoma. We also analyzed m(6)A-related genes more comprehensively based on systematic complete data. We found that YTHDF1 and HNRNPA2B1 were altered in melanoma and might influence the development of the disease through signaling pathways such as p53.
format Online
Article
Text
id pubmed-7294677
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-72946772020-06-16 Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis Li, Tengda Gu, Mingli Deng, Anmei Qian, Cheng Cancer Cell Int Primary Research BACKGROUND: The incidence and mortality of melanoma is increasing around the world. To deeply explain the mechanism insight into it, we conducted a systematic analysis to examine the levels of regulatory genes of the common RNA epigenetic modification-N6-methyladenosine (m(6)A) in patients with melanoma compared by the healthy. METHODS: We analyzed the expression of m(6)A Eraser, Writer, and Reader genes based on publicly available datasets on Oncomine and validated the results with a gene expression omnibus dataset. Hub genes were identified with Cytohubba and the frequency of copy number alterations was analyzed with the cBioPortal tool. RESULTS: The results revealed the up-regulation of YTHDF1 and HNRNPA2B1 in melanoma. Combining the two genes improved the efficacy in diagnosing melanoma by about 10% compared to each gene alone. Hub genes identified with four analysis methods were compared and the overlapping genes were selected. These genes were enriched in several gene ontology terms. Genes related to p53-signaling consisted of CDK2, CDK1, RRM2, CCNB1, and CHEK1. All five genes were positively correlated with either YTHDF1 or HNRNPA2B1, suggesting that both genes may affect m(6)A modification by the five genes, further up-regulating their expression and facilitate their roles in inhibiting p53 to suppress tumorigenesis. We also observed major mutations in YTHDF1 and HNRNPA2B1 that led to their amplification in melanoma. Significant differences were observed in the clinical characteristics of patients with altered and unaltered m(6)A regulatory genes such as tumor stage and treatment response. CONCLUSIONS: We, for the first time, identified a combination of m(6)A regulatory genes to diagnose melanoma. We also analyzed m(6)A-related genes more comprehensively based on systematic complete data. We found that YTHDF1 and HNRNPA2B1 were altered in melanoma and might influence the development of the disease through signaling pathways such as p53. BioMed Central 2020-06-15 /pmc/articles/PMC7294677/ /pubmed/32549786 http://dx.doi.org/10.1186/s12935-020-01309-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Li, Tengda
Gu, Mingli
Deng, Anmei
Qian, Cheng
Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis
title Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis
title_full Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis
title_fullStr Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis
title_full_unstemmed Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis
title_short Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis
title_sort increased expression of ythdf1 and hnrnpa2b1 as potent biomarkers for melanoma: a systematic analysis
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294677/
https://www.ncbi.nlm.nih.gov/pubmed/32549786
http://dx.doi.org/10.1186/s12935-020-01309-5
work_keys_str_mv AT litengda increasedexpressionofythdf1andhnrnpa2b1aspotentbiomarkersformelanomaasystematicanalysis
AT gumingli increasedexpressionofythdf1andhnrnpa2b1aspotentbiomarkersformelanomaasystematicanalysis
AT denganmei increasedexpressionofythdf1andhnrnpa2b1aspotentbiomarkersformelanomaasystematicanalysis
AT qiancheng increasedexpressionofythdf1andhnrnpa2b1aspotentbiomarkersformelanomaasystematicanalysis