bioRxivCancer BiologyPreprint
Systemic neoantigen-specific T cells reveal central determinants of PD-(L)1 blockade efficacy
Célia Ramade, Noémie ThébaultiD, Clara‐Maria ScarlataiD, Daniel OreperiD, Françoise Lauzéral-Vizcaïno, Suchit JhunjhunwalaiD, Bastien CabarrouiD, Milena Hornburg, Caroline Fournier, Anna SalvioniiD, Marie Michelas, Victor SarradiniD, Giulia Costanza LeonardiiD, Virginie FéliuiD, Myriam Maixent, Lise Scandella, Meng Xiao HeiD, Martine DarwishiD, Amy J. HeidersbachiD, Catherine Ross, Hang XuiD, Fanny BouquetiD, Catia Fonseca, Tom LesluyesiD, Nicolas Congy‐JolivetiD, , Maha AyyoubiD
Abstract
The contribution of neoantigen-specific T cells to PD-(L)1 efficacy has largely been inferred from tumor mutational burden. We functionally profiled circulating T cell responses against 7,038 predicted HLA-I-restricted and 21,453 HLA-II-restricted neopeptides in 27 patients with advanced non-small cell lung cancer treated with anti-PD-(L)1. CD4 responses were frequent and correlated with neoantigen availability but not clinical benefit. In contrast, the magnitude and breadth of neoantigen-specific CD8 T cell responses were associated with clinical benefit, progression-free and overall survival, independently of tumor mutational burden. Patients mounting coordinated CD4 and CD8 responses experienced improved progression-free survival. Tumors from CD8 responders displayed immune signatures indicative of both T cell priming and effector functions. Circulating neoantigen-specific CD8 T cells recognized endogenously processed antigens, trafficked to tumors, and selectively expanded under therapy while retaining CD28, CD226, and CXCR3 expression. These findings identify coordinated, functionally engaged neoantigen-specific T cell responses as central determinants of PD-(L)1 efficacy.
- organism: human
- assay: bulk RNA-seq
- research focus: host-pathogen & immune response
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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