Molecular and Immune Landscape of Recurrent and/or Distant Metastatic Squamous Cell Carcinoma of the Head and Neck: An EORTC/IMMUCAN Project
Year: 2026
Type: article
Study design: Observational Study
Abstract: PURPOSE: Recurrent and/or metastatic (R/M) squamous cell carcinoma of the head and neck (SCCHN) is a heterogeneous clinical entity with a poor prognosis. The molecular and immune landscape of R/M SCCHN is underexplored. To offer a comprehensive view of the tumor microenvironment and molecular profile of R/M SCCHN, we performed an in-depth molecular and immune characterization, evaluating the impact of human papillomavirus (HPV) status, tobacco and alcohol history, primary tumor site, relapse pattern, and treatment history at the genomic, transcriptomic, and immune levels. EXPERIMENTAL DESIGN: We analyzed 253 R/M SCCHN fresh tumor biopsies from the IMMUcan project using RNA sequencing (RNA-seq), whole-exome sequencing, and multiplex immunofluorescence (mIF). RESULTS: The primary clinical factor affecting the immune microenvironment was the number of treatment lines, with significant declines in T cells and B cells observed via mIF and RNA-seq as the number of R/M treatment lines progressed. IL6, IL13, IL15, and NRF2 pathways were enriched in HPV-negative R/M SCCHN compared with HPV-positive tumors, whereas no immune differences were detected between these two clinical groups. Specific genomic alterations were observed in laryngeal cancer (DDR2, FOXP1, KLF5, and ROBO2), whereas nonsmokers/nondrinkers exhibited alterations in SPEN, PBRM1, and CYLD. 11q13.3 amplification was linked to HPV-negative metastatic tumors and hypopharyngeal cancer. HPV-negative SCCHN with locoregional recurrence showed elevated EGFR and CXCL12 pathway activity. Partial epithelial-mesenchymal transition transcriptomic signatures correlated with poor survival, whereas lymphocyte infiltration, especially in the context of tertiary lymphoid structures, was associated with improved survival. CONCLUSIONS: Our study highlights key molecular and immune differences across R/M SCCHN subgroups, identifies potential biomarkers, and suggests biological rationales for tailored therapeutic strategies.
Source: Clinical Cancer Research
Authors: Athénaïs van der Elst, Daniel Herrero-Saboya, Lucas Michon, Marie Morfouace, Robin Liechti, Preethi Devanand, Daniel Schulz, Maya Persoons, Sylvie Rusakiewicz, Nils Eling, Paul-Antoine Nicolas, Marie-Sophie Robert, Stephanie Tissot, Sophie Déglise, Bruno Palau Fernandez, Bernd Bodenmiller, Henoch S. Hong, Rachel Galot, Paolo Bossi, Julio Oliveira, Marc Pracht, Caroline Even, Pierre Saintigny, Céline Lefebvre, Loredana Martignetti, Jean-Pascal Machiels
Institutions: Cliniques Universitaires Saint-Luc, UCLouvain, Inserm, Université Paris Sciences et Lettres, École Nationale Supérieure des Mines de Paris, Institut Curie, Lyon 1 Université, École Normale Supérieure de Lyon, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, CASTING: Dynamiques du Cancer, adaptation et modélisation, Institut Gustave Roussy, European Organisation for Research and Treatment of Cancer, SIB Swiss Institute of Bioinformatics, University of Lausanne, Centre Hospitalier Universitaire Vaudois, University of Zurich, ETH Zurich, Institute of Molecular Health Sciences, Merck KGaA, Darmstadt (Germany), Humanitas University, IRCCS Humanitas Research Hospital, IPO Porto, Centre Eugène Marquis, Fondation Gustave Roussy
Language: English
Topic: Head and Neck Cancer Studies
Subfield: Otorhinolaryngology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: Pfizer, Université Catholique de Louvain, European Federation of Pharmaceutical Industries and Associations, Alliance Healthcare Foundation, Incyte, Fonds National de la Recherche Luxembourg, Fonds De La Recherche Scientifique - FNRS, Association Nationale de la Recherche et de la Technologie, Fondation Saint Luc, Institut Servier, Cliniques Universitaires Saint-Luc
OpenAlex ID: W7140126143
