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Related Experiment Video

Updated: Jan 14, 2026

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Systems Biology-Based Drug Repositioning Identifies Extracellular Matrix Module as a Therapeutic Target in Lung

Bin Yang1, Yuna Shao2, Ziyun Zhou1

  • 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.

Journal of Medicinal Chemistry
|October 17, 2025
PubMed
Summary

We developed a new computational method (SnpDR) to find new cancer drug targets. This method identified extracellular matrix (ECM) targets and repositioned drugs for lung squamous cell carcinoma (LSCC).

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Area of Science:

  • Computational biology
  • Proteomics
  • Cancer research

Background:

  • Cancer subtype proteomic comparisons reveal heterogeneity and therapeutic targets.
  • Drug repositioning requires effective computational frameworks.

Purpose of the Study:

  • To present a novel computational framework, signature-network-perturbation-based drug repositioning (SnpDR).
  • To identify subtype-specific vulnerabilities and potential therapeutic targets in lung squamous cell carcinoma (LSCC).

Main Methods:

  • Integrated proteomic and pharmacogenomic data using differential modular analysis.
  • Constructed drug response networks and performed multiscale perturbation response scanning.
  • Applied SnpDR to compare lung adenocarcinoma and LSCC proteomic landscapes.

Main Results:

  • Identified the extracellular matrix (ECM) module as a central hub in LSCC.
  • Discovered LAMA1 as a novel drug target.
  • Validated Fingolimod and Piperlongumine as effective repositioned drugs inhibiting LSCC growth, proliferation, and migration.

Conclusions:

  • SnpDR is a powerful framework for identifying subtype-specific therapeutic vulnerabilities.
  • ECM-targeted interventions show promise for LSCC treatment.
  • Systems biology approaches accelerate precision oncology discovery.