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Emerging Predictive Biomarkers of Immunotherapy Sensitivity in Patients with Non-Small Cell Lung Cancer - PubMed

6 hours ago
  • #immunotherapy biomarkers
  • #predictive oncology
  • #non-small cell lung cancer
  • PD-L1 expression and tumor mutation burden (TMB) are established predictive biomarkers but need improved predictive ability.
  • Emerging biomarkers include genomic alterations (e.g., KEAP1, STK11, SMARCA4), metabolic pathway markers (IDO, adenosine axis), tumor-infiltrating lymphocytes, and blood-based biomarkers.
  • Host factors like tobacco exposure history and body mass index influence immunotherapy outcomes.
  • Artificial intelligence and machine learning enable integration of multidimensional data, creating predictive scoring systems that outperform conventional biomarkers.