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NetCF: A Network Control-based Framework to Reveal the Molecular Mechanism of Phenotype Switching in Lung Cancer

Namhee Kim1, Jongwan Kim1, Jaeog Jeon1

  • 1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Genomics, Proteomics & Bioinformatics
|June 10, 2026
PubMed

Insights

This study introduces NetCF, a network control strategy to identify combination targets for overcoming cancer drug resistance. It suggests PIN1 as a target to combat MEK inhibitor resistance in lung cancer.

Area of Science:

  • Computational Biology
  • Systems Biology
  • Cancer Research

Background:

  • Targeted cancer therapies face challenges with intrinsic drug resistance.
  • Identifying effective combination targets to overcome resistance is crucial but complex.
  • Intricate molecular regulations hinder the discovery of combination targets.

Purpose of the Study:

  • To present a network control strategy (NetCF) for identifying combination targets.
  • To systematically tackle the problem of intrinsic drug resistance in cancer therapy.
  • To unravel the underlying mechanisms of combination targets in overcoming resistance.

Main Methods:

  • Utilized data-driven Boolean network modeling.
  • Employed complex network analysis.
  • Applied feedback analysis to identify core switching circuits in cell state transitions.

Main Results:

  • Identified a core switching circuit composed of coupled positive feedback loops.
  • Demonstrated that regulating the identified combination target drives phenotype changes.
  • Suggested PIN1 as an effective combination target against MEK inhibitor resistance in lung cancer cells.

Conclusions:

  • NetCF framework successfully identifies combination targets and their system-level mechanisms.
  • This approach offers potential therapeutic interventions to overcome cancer drug resistance.
  • The study provides a systematic method for discovering combination therapies.
Keywords:
Boolean networkCore switching circuitDrug resistanceNetwork control analysisSystems biology

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