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Bioinformatics screening of ETV4 transcription factor oncogenes and identifying small-molecular anticancer drugs

Ambily Nath I V1, Achuthsankar S Nair1

  • 1Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India.

Chemical Biology & Drug Design
|November 10, 2021
PubMed

Insights

This study identifies 16 ETV4-driven cancer genes and proposes 6 drug combinations for targeted cancer therapy. These findings offer new strategies for modulating ETV4 oncogenes in cancer treatment.

Area of Science:

  • Bioinformatics
  • Genomics
  • Cancer Biology

Background:

  • The ETV4 transcription factor plays a role in oncogenesis.
  • Identifying ETV4 targets and their associated drugs is crucial for cancer therapy.

Purpose of the Study:

  • To identify novel ETV4 transcription factor oncogenes.
  • To propose anticancer drugs targeting these identified oncogenes.

Main Methods:

  • Screening known ETV4 cancer targets against GeneMANIA multiomics resources.
  • Utilizing hub gene analysis, network clustering, gene ontology, and pathway analyses.
  • Identifying ETS-binding motifs and filtering oncogenic ETV4 targets.
  • Analyzing miRNA networks and drug databases (DgIb) for drug combinations.

Main Results:

  • Identified 16 key ETV4-driven oncogenes involved in cancer promotion.
  • Confirmed the oncogenic role of these genes through various analyses.
  • Discovered an extensive miRNA network regulating these oncogenes.
  • Proposed 6 high-quality oncogene-drug combinations for potential cancer treatment.

Conclusions:

  • ETV4 oncogenes and their regulatory networks are critical in cancer development.
  • The identified drug combinations offer potential therapeutic strategies for ETV4-related cancers.
  • This research advances understanding of the ETV4 neoplastic gene nexus for therapeutic intervention.
Keywords:
ETV4anticancer drugsbioinformaticsknown oncogenesnovel oncogenes

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