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April 5, 2026Cancer Research

Cytoskeleton-Related Molecules Linked To Immunosuppressive State In Small Cell Lung Cancer

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Authors

DADinesh K. AhirwarBKB.S. Aruna KumariIndian Institute of Technology Jodhpur

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Implication

Proteogenomic analysis uncovers immune suppression mechanisms in small cell lung cancer, suggesting novel therapies.

Key Points

  • The research aims to explore molecular mechanisms behind immune suppression in small cell lung cancer (SCLC).
  • Reanalyzed a publicly available proteogenomic dataset of 112 SCLC tumors and adjacent normal tissues.
  • Divided tumor samples into immune active (hot) and immune suppressed (cold) based on immune signatures.
  • Conducted pathway-based analysis to identify gene mutations related to cytoskeleton and motor activity.
  • Performed proteomic data analysis to find enrichment of proteins involved in mRNA processing.
  • Cold tumors exhibited reduced overall survival compared to hot tumors.
  • Identified gene mutations associated with cytoskeleton and motor activity pathways.
  • Proteomic analysis revealed a significant presence of proteins related to mRNA processing.

Cite This Study

Ahirwar et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd13a79560c99a0a2dfchttps://doi.org/10.1158/1538-7445.am2026-7013
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Proteomic characterization of small cell lung cancer uncovers innate-adaptive immune dynamics and immunotherapeutic vulnerabilities2026 · 1 citations
  2. 2Abstract 1490: A single cell-based protein activity landscape for human small cell lung cancer2026
  3. 3Abstract 5964: Single-cell multi-omics profiling unveils the regulatory mechanisms of small cell lung cancer2026
  4. 4Exploring effective biomarkers and potential immune related gene in small cell lung cancer2024 · 5 citations
  5. 5Abstract 5339: Prevalence and distinct biological programs of small cell lung cancer molecular subtypes revealed by real-world clinico-genomics database.2026