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miRNA Expression Analyses in Prostate Cancer Clinical Tissues
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Identifying multi-target drugs for prostate cancer using machine learning-assisted transcriptomic analysis.

Yibin Chang1, Hongmei Zhou1, Yuxiang Ren1

  • 1School of Life Science and Bio-Pharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.

Journal of Biomolecular Structure & Dynamics
|December 16, 2023
PubMed
Summary
This summary is machine-generated.

Bisoprolol shows promise in inhibiting prostate cancer cell growth. This study identified it as a potential multi-target drug for prostate cancer treatment, offering new therapeutic avenues.

Keywords:
Bisoprololdrug discoverymachine learningprostate cancertranscriptomics

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Area of Science:

  • Oncology
  • Pharmacology
  • Bioinformatics

Background:

  • Prostate cancer remains a significant cause of mortality in men, necessitating novel therapeutic strategies.
  • Identifying effective treatments for prostate cancer is a critical area of research.

Purpose of the Study:

  • To identify potential drug candidates for prostate cancer using transcriptomic data and the Connectivity Map (CMap) database.
  • To investigate the anti-cancer properties of identified candidate drugs and their molecular targets.

Main Methods:

  • Transcriptomic data analysis and CMap database integration to identify candidate drugs.
  • In vitro cell experiments to assess the effect of candidate drugs on prostate cancer cell proliferation.
  • Machine learning and dynamic simulation to predict and explore drug targets (ADRB3 and hERG).

Main Results:

  • Bisoprolol was identified as a promising candidate drug for prostate cancer treatment.
  • Bisoprolol demonstrated an inhibitory effect on prostate cancer cell proliferation in cell experiments.
  • ADRB3 and hERG were identified as potential dual targets for bisoprolol in prostate cancer.

Conclusions:

  • Bisoprolol exhibits potential as a multi-target drug for prostate cancer, with beta-adrenergic receptor inhibitors being a feasible therapeutic approach.
  • The study highlights a novel research strategy for drug discovery by repurposing drugs based on their side effects.
  • Further investigation into bisoprolol's pharmacological actions, toxicity, and mechanisms, particularly concerning ADRB3, is warranted for prostate cancer treatment.