ArticleJournal of Cancer2020
Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer.
Article in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 39 citations in OpenAlex.
- Histone lactylation modification promotes docetaxel resistance and tumor progression through CNN1-Mediated autophagy and cell cycle arrest in Castration-resistant prostate cancer.Cell death discovery · 2026Article
- Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer.Discover oncology · 2025Article
- Weighted gene co-expression network analysis for hub genes in colorectal cancer.Pharmacological reports : PR · 2024Article
- MYL9 expressed in cancer-associated fibroblasts regulate the immune microenvironment of colorectal cancer and promotes tumor progression in an autocrine manner.Journal of experimental & clinical cancer research : CR · 2023Article
- Identification of diagnostic biomarkers via weighted correlation network analysis in colorectal cancer using a system biology approach.Scientific reports · 2023Article
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- Up-regulation of PRKDC was associated with poor renal dysfunction after renal transplantation: A multi-centre analysis.Journal of cellular and molecular medicine · 2023Article
- An epithelial-mesenchymal transition-related mRNA signature associated with the prognosis, immune infiltration and therapeutic response of colon adenocarcinoma.Pathology oncology research : POR · 2023Article
- Potential prognostic and immunotherapeutic value of calponin 1: A pan-cancer analysis.Frontiers in pharmacology · 2023Article
- Identification of hub genes predicting the development of prostate cancer from benign prostate hyperplasia and analyzing their clinical value in prostate cancer by bioinformatic analysis.Discover oncology · 2022Article
- Weighted correlation network analysis revealed novel long non-coding RNAs for colorectal cancer.Scientific reports · 2022Article
- Reference Module-Based Analysis of Ovarian Cancer Transcriptome Identifies Important Modules and Potential Drugs.Biochemical genetics · 2022Article
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- Up-Regulation of TRIM32 Associated With the Poor Prognosis of Acute Myeloid Leukemia by Integrated Bioinformatics Analysis With External Validation.Frontiers in oncology · 2022Article
- Research progress in myosin light chain 9 in malignant tumors.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021Article
- Modularity in Biological Networks.Frontiers in genetics · 2021Review
- Identification of Hub Genes and Construction of a Transcriptional Regulatory Network Associated With Tumor Recurrence in Colorectal Cancer by Weighted Gene Co-expression Network Analysis.Frontiers in genetics · 2021Article
- CLCA4 and MS4A12 as the significant gene biomarkers of primary colorectal cancer.Bioscience reports · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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