ArticleHereditas2022
Identification of four novel hub genes as monitoring biomarkers for colorectal cancer.
Article in Hereditas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Integrated bioinformatics and experimental validation identify FOXQ1, GRIN2D, and SCNN1B as novel biomarkers for distinguishing high-risk sessile serrated lesions from hyperplastic polyps.Journal of molecular histology · 2026Article
- Deciphering the Molecular Interactions of Tuberculosis and Colorectal Cancer: A Network and RNA-Seq Data Analysis Approach.Anti-cancer agents in medicinal chemistry · 2026Article
- Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024Review
- Hypermethylation of the sodium channel beta subunit gene promoter is associated with colorectal cancer.Hereditas · 2024Article
- Membrane recruitment of the polarity protein Scribble by the cell adhesion receptor TMIGD1.Communications biology · 2023Article
- Review
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundIt must be admitted that the incidence of colorectal cancer (CRC) was on the rise all over the world, but the related treatment had not caught up. Further research on the underlying pathogenesis of CRC was conducive to improving the survival status of current CRC patients.
methodsDifferentially expressed genes (DEGs) screening were conducted based on "limma" and "RobustRankAggreg" package of R software. Weighted gene co-expression network analysis (WGCNA) was performed in the integrated DEGs that from The Cancer Genome Atlas (TCGA), and all samples of validation were from Gene Expression Omnlbus (GEO) dataset.
resultsThe terms obtained in the functional annotation for primary DEGs indicated that they were associated with CRC. The MEyellow stand out whereby showed the significant correlation with clinical feature (disease), and 4 hub genes, including ABCC13, AMPD1, SCNN1B and TMIGD1, were identified in yellow module. Nine datasets from Gene Expression Omnibus database confirmed these four genes were significantly down-regulated and the survival estimates for the low-expression group of these genes were lower than for the high-expression group in Kaplan-Meier survival analysis section. MEXPRESS suggested that down-regulation of some top hub genes may be caused by hypermethylation. Receiver operating characteristic curves indicated that these genes had certain diagnostic efficacy. Moreover, tumor-infiltrating immune cells and gene set enrichment analysis for hub genes suggested that there were some associations between these genes and the pathogenesis of CRC.
conclusionThis study identified modules that were significantly associated with CRC, four novel hub genes, and further analysis of these genes. This may provide a little new insights and directions into the potential pathogenesis of CRC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.