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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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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. |
format | Online Article Text |
id | pubmed-7343469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
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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