Emergence of Sprouty role from the signaling interplay of DUSP1 and DUSP4 interactions in NSCLC pathogenesis

Manasi Tukrul1,2, Pooja Gulhane1, Shailza Singh3,4

  • 1Biotechnology Research and Innovation Council, National Centre for Cell Science, Pune, India.

Insights

Mathematical modeling reveals DUSP1, DUSP4, and SPRY2 are key regulators in non-small cell lung cancer (NSCLC) signaling. Inhibiting these proteins may offer new therapeutic strategies for NSCLC by disrupting tumor growth and immune evasion.

Area of Science:

  • Oncology
  • Systems Biology
  • Immunology

Background:

  • Non-small cell lung cancer (NSCLC) presents significant therapeutic challenges due to complex signaling pathways and treatment resistance.
  • Aberrant receptor tyrosine kinase (RTK) and mitogen-activated protein kinase (MAPK) signaling drive tumor progression and immune modulation in NSCLC.

Purpose of the Study:

  • To investigate the dynamic interplay of EGFR, FGFR, and TNFR signaling in NSCLC using mathematical modeling and experimental validation.
  • To identify critical regulators within MAPK and PI3K/AKT cascades influencing the tumor microenvironment and immune responses.

Main Methods:

  • Employed mathematical modeling with flux-based sensitivity analysis to dissect signaling networks.
  • Conducted crosstalk analysis to understand protein interactions and their impact on cytokine production.
  • Utilized functional assays, including gene silencing, to validate regulatory roles.

Main Results:

  • Identified DUSP1, DUSP4, and SPRY2 as high-flux regulators in MAPK and PI3K/AKT pathways.
  • Demonstrated that these proteins form an axis influencing cytokine production (IL6, IL10, IL12, TNF-α) and macrophage responses.
  • Silencing SPRY2 impaired NSCLC cell migration and induced cell cycle arrest, confirming a coordinated regulatory network.

Conclusions:

  • DUSP1, DUSP4, and SPRY2 are pivotal drivers of oncogenic signaling and immune regulation in NSCLC.
  • These proteins represent potential therapeutic targets for disrupting feedback loops that promote NSCLC growth and survival.
  • Integration of computational modeling and experimental validation provides a systems-level understanding of NSCLC pathogenesis.

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