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Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer

Colorectal cancer (CRC) is one of the most common carcinomas and the fourth leading cause of cancer-related death worldwide. One of the obstacles in the successful treatment of CRC is a high rate of recurrence. We aimed to construct weighted gene co-expression network analysis (WGCNA) to identify ke...

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Autores principales: Qiu, Xiao, Cheng, Shen-Hong, Xu, Fei, Yin, Jin-Wen, Wang, Li-Yang, Zhang, Xin-You
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7052925/
https://www.ncbi.nlm.nih.gov/pubmed/32127961
http://dx.doi.org/10.7150/jca.39723
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author Qiu, Xiao
Cheng, Shen-Hong
Xu, Fei
Yin, Jin-Wen
Wang, Li-Yang
Zhang, Xin-You
author_facet Qiu, Xiao
Cheng, Shen-Hong
Xu, Fei
Yin, Jin-Wen
Wang, Li-Yang
Zhang, Xin-You
author_sort Qiu, Xiao
collection PubMed
description Colorectal cancer (CRC) is one of the most common carcinomas and the fourth leading cause of cancer-related death worldwide. One of the obstacles in the successful treatment of CRC is a high rate of recurrence. We aimed to construct weighted gene co-expression network analysis (WGCNA) to identify key modules and hub genes in association with recurrence in CRC patients. We firstly used the microarray data, GSE41258, to construct a co-expression network and identify gene modules. Furthermore, protein and protein interaction (PPI) network was also performed to screen hub genes. To validate the hub genes, an independent dataset GSE17536 was used for survival analyses. Additionally, another two databases were also performed to investigate the survival rates and expression levels of hub genes. Gene set enrichment analyses (GSEA) combined with gene ontology (GO) were performed to further explore function and mechanisms. In our study, the midnightblue module was identified to be significant, 15 hub genes were screened, four of which were identified as hub nodes in the PPI network. In the test dataset, we found higher expression of MYL9 and CNN1 were significantly associated with shorter survival time of CRC patients. GO analyses showed that MYL9 and CNN1 were enriched in “muscle system process” and “cytoskeletal protein binding”. GSEA found the two hub genes were enriched in “pathways in cancer” and “calcium signaling pathway”. In conclusion, our study demonstrated that MYL9 and CNN1 were hub genes associated with the recurrence of CRC, which may contribute to the improvement of recurrence-free survival time of CRC patients.
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spelling pubmed-70529252020-03-03 Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer Qiu, Xiao Cheng, Shen-Hong Xu, Fei Yin, Jin-Wen Wang, Li-Yang Zhang, Xin-You J Cancer Research Paper Colorectal cancer (CRC) is one of the most common carcinomas and the fourth leading cause of cancer-related death worldwide. One of the obstacles in the successful treatment of CRC is a high rate of recurrence. We aimed to construct weighted gene co-expression network analysis (WGCNA) to identify key modules and hub genes in association with recurrence in CRC patients. We firstly used the microarray data, GSE41258, to construct a co-expression network and identify gene modules. Furthermore, protein and protein interaction (PPI) network was also performed to screen hub genes. To validate the hub genes, an independent dataset GSE17536 was used for survival analyses. Additionally, another two databases were also performed to investigate the survival rates and expression levels of hub genes. Gene set enrichment analyses (GSEA) combined with gene ontology (GO) were performed to further explore function and mechanisms. In our study, the midnightblue module was identified to be significant, 15 hub genes were screened, four of which were identified as hub nodes in the PPI network. In the test dataset, we found higher expression of MYL9 and CNN1 were significantly associated with shorter survival time of CRC patients. GO analyses showed that MYL9 and CNN1 were enriched in “muscle system process” and “cytoskeletal protein binding”. GSEA found the two hub genes were enriched in “pathways in cancer” and “calcium signaling pathway”. In conclusion, our study demonstrated that MYL9 and CNN1 were hub genes associated with the recurrence of CRC, which may contribute to the improvement of recurrence-free survival time of CRC patients. Ivyspring International Publisher 2020-02-10 /pmc/articles/PMC7052925/ /pubmed/32127961 http://dx.doi.org/10.7150/jca.39723 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Qiu, Xiao
Cheng, Shen-Hong
Xu, Fei
Yin, Jin-Wen
Wang, Li-Yang
Zhang, Xin-You
Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer
title Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer
title_full Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer
title_fullStr Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer
title_full_unstemmed Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer
title_short Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer
title_sort weighted gene co-expression network analysis identified myl9 and cnn1 are associated with recurrence in colorectal cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7052925/
https://www.ncbi.nlm.nih.gov/pubmed/32127961
http://dx.doi.org/10.7150/jca.39723
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