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Identification of important genes and drug repurposing based on clinical-centered analysis across human cancers

Ying Li1, Ya-Ping Dong1,2, You-Wen Qian3

  • 1National Center for Liver Cancer, Second Military Medical University, Shanghai, 200438, China.

Acta Pharmacologica Sinica
|June 20, 2020
PubMed

Insights

Identifying cancer gene impacts is key for precision oncology and drug repurposing. This study found survival genes are network hubs, aiding mutation impact assessment and novel drug discovery.

Area of Science:

  • Genomics
  • Bioinformatics
  • Oncology

Background:

  • Precision oncology requires understanding gene mutations in cancer.
  • Multiomics data offers new insights into cancer patient cohorts.
  • Identifying functional gene impacts is crucial for targeted therapies and drug repurposing.

Purpose of the Study:

  • To identify survival-associated genes across 26 cancer types.
  • To assess the impact of mutations using network properties and survival-related neighbors.
  • To predict novel drug targets and repurpose anticancer drugs.

Main Methods:

  • Analysis of survival-associated genes in biological networks across 26 cancer types.
  • Identification of hub genes and K-core values.
  • Pathway enrichment analysis for favorable and adverse outcome genes.
  • Integration with Human Protein Atlas and DrugBank for drug repurposing.

Main Results:

  • Survival-associated genes were identified as network hub genes with high K-core values.
  • Genes linked to adverse outcomes enriched in genetic processing and cellular pathways.
  • Genes linked to favorable outcomes enriched in metabolism and immune regulation pathways.
  • A novel method using survival-related neighbors to assess mutation impact was proposed.

Conclusions:

  • Multidimensional analysis of clinical and multiomics data is significant for gene identification in cancer.
  • The study identified key genes and pathways influencing cancer outcomes.
  • Predicted novel drug targets and repurposed drugs for cancer treatment.
Keywords:
clinical correlationdrug repurposingnetwork analysispancancer.somatic mutationsurvival outcomes

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