Identification of Influential Genes and Survival Probability of Colorectal Cancer Patients

Worldwide, colorectal cancer (CRC) ranks high among both men and women's cancers. When it comes to tumors of the large intestine, colorectal cancer (CRC) is by far the worst. Even while the vast majority of polyps are completely harmless, they do have a connection to cancer. Related to cancer is a small clump of cells called polyps; most of them are benign. Over time, some of those, like abnormal cell growth, growing through rapidly dividing cells, and abnormal growing of polyps inside the intestine, become malignant tumors called CRC. It is noticed that CRC-affected people have a great chance of comorbidities like attention deficit disorder, amyotrophic lateral sclerosis, cholesterol, heart failure, low density lipoprotein, systemic lupus erythematous, etc. An essential component of cancer diagnosis and therapy is the identification of influential genes (IFGs). Here, we use the cancer genome atlas (TCGA) dataset to find the relevant CRC IFGs for this purpose. Hence, we have used the Bonferroni correction technique and the Kruskal-Wallis test. Applying these techniques we got 24 major IFs among 16296 genes. Later, in applying those IFGs, we have performed on comorbidities, functional and ontological pathways, protein-protein interactions (PPIs), PCIs, and diseasome networks to predict CRC survival and also the Cox proportional hazard model and the product limit (PL) will be utilized to investigate the impact of clinical and genetic variables that significantly affect the survival of CRC patients. This paper provides a basis for detecting major cancer genes and highlight the colorectal cancer effect on associative diseases development.