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Updated: May 30, 2025

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NetSDR: Drug repurposing for cancers based on subtype-specific network modularization and perturbation analysis.

Bin Yang1, Wanshi Li2, Zhen Xu3

  • 1MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-infective Medicine, Department of Bioinformatics and Computational Biology, School of Life Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China.

Biochimica Et Biophysica Acta. Molecular Basis of Disease
|January 25, 2025
PubMed
Summary

This study introduces NetSDR, a novel framework for subtype-specific drug repurposing in cancer. It identifies potential new cancer drugs by analyzing proteomic data and cellular networks for specific cancer subtypes.

Keywords:
Cancer subtypeDrug responseLAMB2Network perturbationProteomics

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Area of Science:

  • Oncology
  • Systems Biology
  • Computational Biology

Background:

  • Cancer's heterogeneity poses challenges for drug development.
  • Drug repurposing via network medicine offers a promising strategy.
  • Proteomics data enables understanding of cancer subtype-specific mechanisms.

Purpose of the Study:

  • To present NetSDR, a framework for prioritizing drugs for specific cancer subtypes.
  • To leverage subtype-specific proteomic signatures and network perturbations for drug discovery.
  • To demonstrate a systems biology approach for precise cancer drug repurposing.

Main Methods:

  • Integrated cancer subtype information into a network-based pipeline to identify functional modules.
  • Performed drug response analysis to identify therapeutic modules and constructed weighted drug response networks using deep learning.
  • Utilized perturbation response scanning for dynamic information and candidate drug prioritization.

Main Results:

  • Applied the NetSDR framework to gastric cancer, highlighting the extracellular matrix module's therapeutic significance.
  • Identified LAMB2 as a potential drug target.
  • Discovered a series of candidate repurposed drugs for gastric cancer treatment.

Conclusions:

  • NetSDR provides a systems biology framework for precise drug repurposing in cancer.
  • The approach is applicable to other complex diseases beyond cancer.
  • This study advances personalized medicine strategies in oncology.