作者
Grégoire Gessain,Ahmed-Amine Anzali,Marvin Lerousseau,Kevin Mulder,Mathilde Bied,Anne Aupérin,Daniel Stockholm,Nicolas Signolle,Farah Sassi,Maria Eugénia Marques Da Costa,Antonin Marchais,Alexandre Sayadi,Daniela Weidner,Stefan Uderhardt,Quentin Blampey,Sumanth Reddy Nakkireddy,Sophie Broutin,Charles‐Antoine Dutertre,Pierre Busson,Thomas Walter,Alix Marhic,Antoine Moya‐Plana,Joanne Guerlain,Ingrid Breuskin,Odile Casiraghi,Philippe Gorphe,Marion Classe,Jean‐Yves Scoazec,Camille Blériot,Florent Ginhoux
摘要
Abstract Patients with head and neck squamous cell carcinomas (HNSCC) often have poor outcomes due to suboptimal risk-management and treatment strategies; yet integrating novel prognostic biomarkers into clinical practice is challenging. Here, we report the presence of multinucleated giant cells (MGC) – a type of macrophages – in tumors from patients with HNSCC, which are associated with a favorable prognosis in treatment-naive and preoperative-chemotherapy-treated patients. Importantly, MGC density increased in tumors following preoperative therapy, suggesting a role of these cells in the anti-tumoral response. To enable clinical translation of MGC density as a prognostic marker, we developed a deep-learning model to automate its quantification on routinely stained pathological whole slide images. Finally, we used spatial transcriptomic and proteomic approaches to describe the MGC-related tumor microenvironment and observed an increase in central memory CD4 T cells. We defined an MGC-specific signature resembling to TREM2-expressing mononuclear tumor associated macrophages, which co-localized in keratin tumor niches.