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M6A-related bioinformatics analysis reveals that HNRNPC facilitates progression of OSCC via EMT

Increasing evidence suggests that N6-methyladenosine(m6A) has a vital role in cancer progression. Therefore, we aimed to explore the prognostic relevance of m6A-related genes in oral squamous cell carcinoma (OSCC). First, Expression profiles were downloaded from The Cancer Genome Atlas (TCGA) and m6...

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Autores principales: Huang, Guang-Zhao, Wu, Qing-Qing, Zheng, Ze-Nan, Shao, Ting-Ru, Chen, Yue-Chuan, Zeng, Wei-Sen, Lv, Xiao-Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343469/
https://www.ncbi.nlm.nih.gov/pubmed/32526707
http://dx.doi.org/10.18632/aging.103333
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author Huang, Guang-Zhao
Wu, Qing-Qing
Zheng, Ze-Nan
Shao, Ting-Ru
Chen, Yue-Chuan
Zeng, Wei-Sen
Lv, Xiao-Zhi
author_facet Huang, Guang-Zhao
Wu, Qing-Qing
Zheng, Ze-Nan
Shao, Ting-Ru
Chen, Yue-Chuan
Zeng, Wei-Sen
Lv, Xiao-Zhi
author_sort Huang, Guang-Zhao
collection PubMed
description Increasing evidence suggests that N6-methyladenosine(m6A) has a vital role in cancer progression. Therefore, we aimed to explore the prognostic relevance of m6A-related genes in oral squamous cell carcinoma (OSCC). First, Expression profiles were downloaded from The Cancer Genome Atlas (TCGA) and m6A-related genes were extracted afterwards. Then, cluster analysis and principal component analysis (PCA) were used to analyze m6A-related genes. And differentially-expressed analysis was performed in R software. Furthermore, a risk model was constructed, and crucial m6A genes were selected to explore its biological effects in OSCC cells. Total of 13 m6A-related genes were extracted and 8 differentially-expressed genes were identified. Subsequently, m6A-based clustering showed 2 subtypes with different clinical outcome. In addition, a risk model was successfully established. Of 13 m6A-related genes, only heterogeneous nuclear ribonucleoprotein C (HNRNPC) might be an independent biomarker and mean unfavorable overall survival in OSCC by univariate and multivariate cox regression analysis. Functional studies revealed that overexpression of HNRNPC promoted carcinogenesis of OSCC via epithelial- mesenchymal transition (EMT). In total, a risk model of m6A-related genes in OSCC was established. Subsequently, HNRNPC was proved to promote OSCC carcinogenesis and be an independent biomarker prognostic biomarker of OSCC, suggesting that it might be a new biomarker and therapeutic target of OSCC.
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spelling pubmed-73434692020-07-15 M6A-related bioinformatics analysis reveals that HNRNPC facilitates progression of OSCC via EMT Huang, Guang-Zhao Wu, Qing-Qing Zheng, Ze-Nan Shao, Ting-Ru Chen, Yue-Chuan Zeng, Wei-Sen Lv, Xiao-Zhi Aging (Albany NY) Research Paper Increasing evidence suggests that N6-methyladenosine(m6A) has a vital role in cancer progression. Therefore, we aimed to explore the prognostic relevance of m6A-related genes in oral squamous cell carcinoma (OSCC). First, Expression profiles were downloaded from The Cancer Genome Atlas (TCGA) and m6A-related genes were extracted afterwards. Then, cluster analysis and principal component analysis (PCA) were used to analyze m6A-related genes. And differentially-expressed analysis was performed in R software. Furthermore, a risk model was constructed, and crucial m6A genes were selected to explore its biological effects in OSCC cells. Total of 13 m6A-related genes were extracted and 8 differentially-expressed genes were identified. Subsequently, m6A-based clustering showed 2 subtypes with different clinical outcome. In addition, a risk model was successfully established. Of 13 m6A-related genes, only heterogeneous nuclear ribonucleoprotein C (HNRNPC) might be an independent biomarker and mean unfavorable overall survival in OSCC by univariate and multivariate cox regression analysis. Functional studies revealed that overexpression of HNRNPC promoted carcinogenesis of OSCC via epithelial- mesenchymal transition (EMT). In total, a risk model of m6A-related genes in OSCC was established. Subsequently, HNRNPC was proved to promote OSCC carcinogenesis and be an independent biomarker prognostic biomarker of OSCC, suggesting that it might be a new biomarker and therapeutic target of OSCC. Impact Journals 2020-06-11 /pmc/articles/PMC7343469/ /pubmed/32526707 http://dx.doi.org/10.18632/aging.103333 Text en Copyright © 2020 Huang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Huang, Guang-Zhao
Wu, Qing-Qing
Zheng, Ze-Nan
Shao, Ting-Ru
Chen, Yue-Chuan
Zeng, Wei-Sen
Lv, Xiao-Zhi
M6A-related bioinformatics analysis reveals that HNRNPC facilitates progression of OSCC via EMT
title M6A-related bioinformatics analysis reveals that HNRNPC facilitates progression of OSCC via EMT
title_full M6A-related bioinformatics analysis reveals that HNRNPC facilitates progression of OSCC via EMT
title_fullStr M6A-related bioinformatics analysis reveals that HNRNPC facilitates progression of OSCC via EMT
title_full_unstemmed M6A-related bioinformatics analysis reveals that HNRNPC facilitates progression of OSCC via EMT
title_short M6A-related bioinformatics analysis reveals that HNRNPC facilitates progression of OSCC via EMT
title_sort m6a-related bioinformatics analysis reveals that hnrnpc facilitates progression of oscc via emt
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343469/
https://www.ncbi.nlm.nih.gov/pubmed/32526707
http://dx.doi.org/10.18632/aging.103333
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