Cancers (Jun 2022)

A Real-World Systematic Analysis of Driver Mutations’ Prevalence in Early- and Advanced-Stage NSCLC: Implications for Targeted Therapies in the Adjuvant Setting

  • Irene Terrenato,
  • Cristiana Ercolani,
  • Anna Di Benedetto,
  • Enzo Gallo,
  • Elisa Melucci,
  • Beatrice Casini,
  • Francesca Rollo,
  • Aldo Palange,
  • Paolo Visca,
  • Edoardo Pescarmona,
  • Enrico Melis,
  • Filippo Gallina,
  • Andrea Sacconi,
  • Fabiana Letizia Cecere,
  • Lorenza Landi,
  • Federico Cappuzzo,
  • Gennaro Ciliberto,
  • Simonetta Buglioni

DOI
https://doi.org/10.3390/cancers14122971
Journal volume & issue
Vol. 14, no. 12
p. 2971

Abstract

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The approval of osimertinib for adjuvant treatment of stage I–II–III EGFR-mutated NSCLC (early stage) represents a paradigm shift, raising the question of whether other genotype-matched therapeutics approved for advanced-stage NSCLC can also provide clinical benefit in the adjuvant setting. However, there is a paucity of real-world data on the prevalence of actionable genomic alterations (GAs) in early-stage NSCLC. We used next-generation sequencing, complemented by immunohistochemistry and fluorescence in situ hybridization, to screen our single-institution cohort of 1961 NSCLC consecutive cases for actionable molecular targets. The prevalence of actionable GAs was comparable in early versus advanced-stage NSCLC, the only exception being KRAS mutations (more frequent in early-stage cases). Consistent with advanced-stage tumors being more aggressive, co-occurrence of TP53 and EGFR GAs as well as copy number gains were less frequent in early-stage tumors. EGFR mutations and high expression of PD-L1 were inversely associated, whereas KRAS mutations and high PD-L1 reactivity showed positive association. Recapitulating advanced-stage tumors, early-stage NSCLC had the highest share of EGFR mutations in lepidic and acinar subtypes. Resected lepidic tumors contained the highest proportion of the KRAS G12C actionable variant. These results, obtained with routine diagnostic technologies in an unselected clinical setting, provide a significant addition of real-world data in early-stage NSCLC.

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