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Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma

BACKGROUND: As essential components of cycle growth, the cell division cycle-associated family genes (CDCAs) have crucial roles in tumor development and progression, especially in hepatocellular carcinoma (HCC). However, due to the tumor heterogeneity of HCC, little is known about the methylation va...

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Autores principales: Wang, Yongkang, Yang, Yinfeng, Gao, Honglei, Ouyang, Ting, Zhang, Luyao, Hu, Jili, Hu, Sheng, Kan, Hongxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921702/
https://www.ncbi.nlm.nih.gov/pubmed/33665158
http://dx.doi.org/10.3389/fonc.2020.566183
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author Wang, Yongkang
Yang, Yinfeng
Gao, Honglei
Ouyang, Ting
Zhang, Luyao
Hu, Jili
Hu, Sheng
Kan, Hongxing
author_facet Wang, Yongkang
Yang, Yinfeng
Gao, Honglei
Ouyang, Ting
Zhang, Luyao
Hu, Jili
Hu, Sheng
Kan, Hongxing
author_sort Wang, Yongkang
collection PubMed
description BACKGROUND: As essential components of cycle growth, the cell division cycle-associated family genes (CDCAs) have crucial roles in tumor development and progression, especially in hepatocellular carcinoma (HCC). However, due to the tumor heterogeneity of HCC, little is known about the methylation variability of CDCAs in mediating phenotypic changes (e.g., immune infiltrates) in HCC. Presently, we aim to comprehensively explore the expression and prognosis of CDCAs methylation with regard to immune infiltrates of HCC. METHODS: We first identified the correlating differentially expressed genes (co-DEGs) among 19 different types of cancer cohorts (a total of 7,783 patients) and then constructed the weighted gene co-expressed and co-methylated networks. Applying the clustering analysis, significant modules of DEGs including CDCAs were selected and their functional bioinformatics analyses were performed. Besides, using DiseaseMeth and TIMER, the correlation between the methylation levels of CDCAs and tumor immune infiltrates was also analyzed. In final, to assess the influence of CDCAs methylation on clinical prognosis, Kaplan-Meier and Cox regression analysis were carried out. RESULT: A total of 473 co-DEGs are successfully identified, while seven genes of CDCAs (CDCA1–3 and CDCA5–8) have significant over-expression in HCC. Co-expressed and co-methylated networks reveal the strong positive correlations in mRNA expression and methylation levels of CDCAs. Besides, the biological enrichment analysis of CDCAs demonstrates that they are significantly related to the immune function regulation of infiltrating immune cells in HCC. Also, the methylation analysis of CDCAs depicts the strong association with the tumor immunogenicity, i.e., low-methylation of CDCA1, CDCA2, and CDCA8 dramatically reduced the immune infiltrate levels of T cells and cytotoxic lymphocytes. Additionally, CDCA1–6 and CDCA8 with low-methylation levels significantly deteriorate the overall survival of patients in HCC. CONCLUSIONS: The co-expressed and co-methylated gene networks of CDCAs show a powerful association with immune function regulation. And the methylation levels of CDCAs suggesting the prognostic value and infiltrating immune differences could be a novel and predictive biomarker for the response of immunotherapy.
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spelling pubmed-79217022021-03-03 Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma Wang, Yongkang Yang, Yinfeng Gao, Honglei Ouyang, Ting Zhang, Luyao Hu, Jili Hu, Sheng Kan, Hongxing Front Oncol Oncology BACKGROUND: As essential components of cycle growth, the cell division cycle-associated family genes (CDCAs) have crucial roles in tumor development and progression, especially in hepatocellular carcinoma (HCC). However, due to the tumor heterogeneity of HCC, little is known about the methylation variability of CDCAs in mediating phenotypic changes (e.g., immune infiltrates) in HCC. Presently, we aim to comprehensively explore the expression and prognosis of CDCAs methylation with regard to immune infiltrates of HCC. METHODS: We first identified the correlating differentially expressed genes (co-DEGs) among 19 different types of cancer cohorts (a total of 7,783 patients) and then constructed the weighted gene co-expressed and co-methylated networks. Applying the clustering analysis, significant modules of DEGs including CDCAs were selected and their functional bioinformatics analyses were performed. Besides, using DiseaseMeth and TIMER, the correlation between the methylation levels of CDCAs and tumor immune infiltrates was also analyzed. In final, to assess the influence of CDCAs methylation on clinical prognosis, Kaplan-Meier and Cox regression analysis were carried out. RESULT: A total of 473 co-DEGs are successfully identified, while seven genes of CDCAs (CDCA1–3 and CDCA5–8) have significant over-expression in HCC. Co-expressed and co-methylated networks reveal the strong positive correlations in mRNA expression and methylation levels of CDCAs. Besides, the biological enrichment analysis of CDCAs demonstrates that they are significantly related to the immune function regulation of infiltrating immune cells in HCC. Also, the methylation analysis of CDCAs depicts the strong association with the tumor immunogenicity, i.e., low-methylation of CDCA1, CDCA2, and CDCA8 dramatically reduced the immune infiltrate levels of T cells and cytotoxic lymphocytes. Additionally, CDCA1–6 and CDCA8 with low-methylation levels significantly deteriorate the overall survival of patients in HCC. CONCLUSIONS: The co-expressed and co-methylated gene networks of CDCAs show a powerful association with immune function regulation. And the methylation levels of CDCAs suggesting the prognostic value and infiltrating immune differences could be a novel and predictive biomarker for the response of immunotherapy. Frontiers Media S.A. 2021-02-16 /pmc/articles/PMC7921702/ /pubmed/33665158 http://dx.doi.org/10.3389/fonc.2020.566183 Text en Copyright © 2021 Wang, Yang, Gao, Ouyang, Zhang, Hu, Hu and Kan http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Wang, Yongkang
Yang, Yinfeng
Gao, Honglei
Ouyang, Ting
Zhang, Luyao
Hu, Jili
Hu, Sheng
Kan, Hongxing
Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma
title Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma
title_full Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma
title_fullStr Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma
title_full_unstemmed Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma
title_short Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma
title_sort comprehensive analysis of cdcas methylation and immune infiltrates in hepatocellular carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921702/
https://www.ncbi.nlm.nih.gov/pubmed/33665158
http://dx.doi.org/10.3389/fonc.2020.566183
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