
Metastasis and recurrence are major causes of colorectal cancer (CRC) death, but their molecular mechanisms are unclear. In this study, genes associated with CRC metastasis and recurrence were identified by weighted gene coexpression network analysis, selecting the top 25% most variant genes in the dataset GSE33113. By average linkage hierarchical clustering, a total of 21 modules were generated. One key module was identified as the most relevant to the prognosis of CRC. Gene Ontology analysis indicated that genes associated with tumor metastasis and recurrence in this module were significantly enriched in inflammatory biological functions. Functional analysis was performed on the key module, and candidate hub genes (ADAM8, LYN, and S100A9) were screened out by expression and survival analysis. In summary, the three core genes identified in this study could greatly improve our understanding of CRC metastasis and recurrence. The results also provide a theoretical basis for the use of three core genes (ADAM8, LYN, and S100A9) as a combined marker for early diagnosis, which could benefit CRC patients.
Gene Expression Profiling, Computational Biology, Membrane Proteins, Prognosis, Survival Analysis, Gene Expression Regulation, Neoplastic, ADAM Proteins, Gene Ontology, src-Family Kinases, Databases, Genetic, Biomarkers, Tumor, Calgranulin B, Humans, Gene Regulatory Networks, Neoplasm Metastasis, Neoplasm Recurrence, Local, Colorectal Neoplasms, Research Article, Proportional Hazards Models
Gene Expression Profiling, Computational Biology, Membrane Proteins, Prognosis, Survival Analysis, Gene Expression Regulation, Neoplastic, ADAM Proteins, Gene Ontology, src-Family Kinases, Databases, Genetic, Biomarkers, Tumor, Calgranulin B, Humans, Gene Regulatory Networks, Neoplasm Metastasis, Neoplasm Recurrence, Local, Colorectal Neoplasms, Research Article, Proportional Hazards Models
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
