Unknown

Dataset Information

Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways.


ABSTRACT: Hepatocellular carcinoma (HCC) is a significant health problem worldwide with poor prognosis. Drug repositioning represents a profitable strategy to accelerate drug discovery in the treatment of HCC. In this study, we developed a new approach for predicting therapeutic drugs for HCC based on tissue-specific pathways and identified three newly predicted drugs that are likely to be therapeutic drugs for the treatment of HCC. We validated these predicted drugs by analyzing their overlapping drug indications reported in PubMed literature. By using the cancer cell line data in the database, we constructed a Connectivity Map (CMap) profile similarity analysis and KEGG enrichment analysis on their related genes. By experimental validation, we found securinine and ajmaline significantly inhibited

SUBMITTER: Yu L 

PROVIDER: S-EPMC7920387 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature