Screening Of Drug Targets For Three Types Of Cancers

In the field of biological information,with the rapid development of high-throughput sequencing technology and the application of various statistical methods,more and more researchers are deeply exploring the pathogenesis and prognosis of cancer based on gene expression profile data or sequencing data generated by high-throughput sequencing technology,further exploring the potential biological significance of cancer.This article focuses on the three high incidence cancers of lung cancer,colon cancer,and liver cancer,and applies related algorithms such as differential module analysis and network pharmacology to find potential connections and differences among the three cancers,providing a theoretical basis for cancer drug target screening and prognosis research.This article uses the TCGA database to screen related cancers to obtain high-throughput sequencing datasets for three types of cancers:lung cancer,colon cancer,and liver cancer,and conducts differential module analysis on them.The screening criteria is|log₂F C|>1.5 and p value<0.05,FC is the ra-tio of gene expression level between two sample groups,and also the variable of expression difference multiple.The test corresponding to p value is the neg-ative binomial distribution test.Further functional annotation analysis was conducted on the differential modules of the three types of cancers.Lung can-cer is mainly enriched in pathways such as steroid hormone biosynthesis,colon cancer is mainly enriched in pathways such as retinol metabolism,and liver cancer is mainly enriched in pathways such as arachidonic acid metabolism.At the same time,we demonstrated the common metabolic pathway calcium pathway and found significant differences in calcium signaling pathways in lung cancer.In the process of screening cancer targets,first of all,common genes were screened for lung cancer,colon cancer,and liver cancer differen-tial modules,and 905 common differentially expressed genes were obtained.Secondly,two drugs astaxanthin and fucoxanthin related to the three cancers were screened through network pharmacology.The common differential genes of the three cancers and the related target genes of the two drugs were analyzed interactively,and eight common target genes were selected.Finally,six key target proteins were screened through protein interaction networks,namely,TOP2A,BCHE,CDK1,TERT,CNR1,and SLC6A3.This article also uses molecular docking technology to dock two small molecule drugs,astaxanthin and fucoxanthin,with six key target proteins.The results show that both the six key target proteins and the two drugs are highly bound.In summary,this article conducts research on lung cancer,colon cancer,and liver cancer through methods such as statistics and network pharmacology,providing new insights into the screening of potential therapeutic targets for three types of cancer and the combination of potential targets and drugs,as well as providing new research directions for the prognostic treatment of multiple cancers.