Scientific Reports (Dec 2023)

Randomized phase II study of preoperative afatinib in untreated head and neck cancers: predictive and pharmacodynamic biomarkers of activity

  • Grégoire Marret,
  • Stéphane Temam,
  • Maud Kamal,
  • Caroline Even,
  • Jean-Pierre Delord,
  • Caroline Hoffmann,
  • Gilles Dolivet,
  • Olivier Malard,
  • Jérôme Fayette,
  • Olivier Capitain,
  • Sébastien Vergez,
  • Lionel Geoffrois,
  • Frédéric Rolland,
  • Philippe Zrounba,
  • Laurent Laccourreye,
  • Esma Saada-Bouzid,
  • Nicolas Aide,
  • Valérie Bénavent,
  • Jerzy Klijianenko,
  • Constance Lamy,
  • Elodie Girard,
  • Sophie Vacher,
  • Julien Masliah-Planchon,
  • Leanne de Koning,
  • Vincent Puard,
  • Edith Borcoman,
  • Marta Jimenez,
  • Ivan Bièche,
  • Jocelyn Gal,
  • Christophe Le Tourneau

DOI
https://doi.org/10.1038/s41598-023-49887-4
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 15

Abstract

Read online

Abstract There is no strong and reliable predictive biomarker in head and neck squamous cell carcinoma (HNSCC) for EGFR inhibitors. We aimed to identify predictive and pharmacodynamic biomarkers of efficacy of afatinib, a pan-HER tyrosine kinase inhibitor, in a window-of-opportunity trial (NCT01415674). Multi-omics analyses were carried out on pre-treatment biopsy and surgical specimen for biological assessment of afatinib activity. Sixty-one treatment-naïve and operable HNSCC patients were randomised to afatinib 40 mg/day for 21–28 days versus no treatment. Afatinib produced a high rate of metabolic response. Responders had a higher expression of pERK1/2 (P = 0.02) and lower expressions of pHER4 (P = 0.03) and pRB1 (P = 0.002) in pre-treatment biopsy compared to non-responders. At the cellular level, responders displayed an enrichment of tumor-infiltrating B cells under afatinib (P = 0.02). At the molecular level, NF-kappa B signaling was over-represented among upregulated genes in non-responders (P < 0.001; FDR = 0.01). Although exploratory, phosphoproteomics-based biomarkers deserve further investigations as predictors of afatinib efficacy.