PO.CL01.02 · 临床研究

Single cell and spatially resolved determinants of the clinical outcome of patients (pts) treated with locally advanced/metastatic head and neck squamous cell carcinoma (LA/M SCCHN) treated with immunotherapy (IO)

编号 1037 展板 5 时间 4/19 02:00–05:00 区域 Section 41 主讲 Pierre Saintigny, MD;PhD
分会场 Biomarkers Predictive of Therapeutic Benefit 2
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作者与单位

Mehdi Lamkhioued1, Thimothee Casini1, Elodie Girard2, Karène Mahtouk1, Sonia Canjura-Rodriguez1, Valery Attignon1, Bastien Cabarrou3, Constance Lamy2, Anne Schnitzler2, Frederique Penault-Llorca1, Caroline Even4, Christophe Le Tourneau4, Ellen Van Obberghen-Schilling5, Nicolas Servant2, Fayette Jerome1, Nathalie Bendriss-Vermare1, Ivan Bièche6, Pierre Saintigny1

1Ctr. Léon Bérard, Lyon, France,2Inst. Curie, Paris, France,3IUCT Oncopole, Toulouse, France,4Gustave Roussy, Paris, France,5Université côte d'Azur, Nice, France,6Genetics Department, Inst. Curie, Paris, France

摘要 Abstract

Background: We developed a composite Gene Expression Signature (cGES) comprising 22 protective (P) and 19 adverse (A) genes, agnostic of the tumor type, stratifying IO-treated pts in 3 risk groups : low (L-), intermediate (I-) and high-risk (H-) (abstract#6360 AACR2025). Herein, we validate its predictive value for progression free (PFS) and overall survival (OS) in a prospective cohort and uncover the single-cell and spatial determinants underlying clinical outcomes. Methods: (1) The cGES was computed in 170 pts with LA/M SCCHN from 2 trials (NCT03226756; NCT03412058). (2) Next, we built a scRNAseq SCCHN atlas (scAt) of 219,138 cells from 77 independant pts including 19 and 21 pts classified as H-risk and L-risk respectively, and studied the distribution and functional states of cell populations between the 2 groups of pts. Cell-type-specific enrichments of A & P genes werequantified and intercellular communication networks were inferred to identify ligand-receptor (L-R) interactions. (3) Deconvoluted Visium data from 12 of the 77 SCCHN including 3 H-risk and 3 L-risk pts were used to map the spatial organization of cGES and to localize specific L-R interactions. Results: (1) Multivariate analysis adjusted for ECOG, age, gender, and alcohol/tobacco use showed that I- and L-risk pts had significantly better outcomes. For PFS, hazard ratios were 0.64 (p=0.04) and 0.51 (p=0.005), and for OS 0.81 (p>0.05) and 0.54 (p=0.015), respectively. (2) Analysis of the scAt revealed that A genes from cGES were mainly expressed by epithelial and stromal cells. Conversely, P genes were mainly expressed by immune cells. H-risk tumors exhibited an altered communication landscape marked by strengthened epithelial junctions, developmental signaling, and universally increased EGFR L-R activity, whereas L-risk tumors showed an immune-enriched network dominated by extracellular remodeling, adaptive immune activation and immune cell recruitment. (3) Visium deconvolution identified 5 major cell-composition clusters (C), with epithelial-enriched C2 showing the highest A genes expression, while T cell-enriched C4/C5 displayed the strongest P genes expression. H-risk tumors exhibited prominent EGFR ligand expression, consistent with the results from the scAt data. In contrast, L-risk tumors displayed increased antigen-presentation, T-cell chemotaxis, and complement signaling. Conclusion: cGES reliably stratified prognosis and reflects tumor ecosystem biology. H-risk tumors were dominated by epithelial-driven, EGFR-centered signaling, whereas L-risk tumors showed coordinated inflammatory T-cell-oriented programs. These findings suggest cGES as a prognostic and mechanistic biomarker, and provides a rational for EGFR-IO combination strategies to improve outcomes in LA/M SCCHN.
利益披露 Disclosure
M. Lamkhioued, None.. T. Casini, None.. E. Girard, None.. K. Mahtouk, None.. S. Canjura-Rodriguez, None.. V. Attignon, None.. B. Cabarrou, None.. C. Lamy, None.. A. Schnitzler, None.. F. Penault-Llorca, None.. C. Even, None.. C. Le Tourneau, None.. E. Van Obberghen-Schilling, None.. N. Servant, None. F. Jerome, Astrazeneca ), Other, Advisory Board. Hookipa Other, Advisory Board. Innate Pharma Advisory Board. Merck Other, Advisory Board. MSD ), Other, Advisory Board, Principal Investigator. Pfizer ), Other, Advisory Board, Principal Investigator. Roche Other, Advisory Board. Calliditas ), Principal Investigator. Isa ), Principal Investigator. Meru ), Principal Investigator. N. Bendriss-Vermare, None. P. Saintigny, HTG Molecular Diagnostics Other, Honoraria. Inivata Other, Honoraria. ArcherDx Other, Honoraria. Bristol Myer Squibb ), Travel, Other, Honoraria. Roche ), Travel, Other, Honoraria. OSE immunotherapeutics ), Travel. Astrazeneca ), Travel. Novartis ). Illumina ), Travel. Omicure ).

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