Tumor Microenvironment Cellular Crosstalk Predicts Response to Adoptive TIL Therapy in Melanoma
Barras, D.; Ghisoni, E.; Chiffelle, J.; Orcurto, A.; Dagher, J.; Fahr, N.; Benedetti, F.; Crespo, I.; Zimmermann, S.; Duran, R.; Imbimbo, M.; Ochoa De Olza, M.; Navarro, B.; Homiscko, K.; Bobisse, S.; Labes, D.; Tsourti, Z.; Andriakopoulou, C.; Herrera, F.; Grimm, A.; Morotti, M.; Petremand, R.; Dummer, R.; Berthod, G.; Bassani-Sternberg, M.; Schaefer, N.; Prior, J. O.; Matter, M.; Demartines, N.; Aedo, V.; Dromain, C.; Tissot, S.; Corria-Osorio, J.; Kandalaft, L. E.; Pittet, M.; Gottardo, R.; Sempoux, C.; Michelin, O.; Dafni, U.; Trueb, L.; Harari, A.; Dangaj Laniti, D.; Coukos, G.
Show abstract
Adoptive cell therapy (ACT) using ex vivo expanded tumor-infiltrating T lymphocytes (TILs) can mediate responses in metastatic melanoma, but long-term efficacy remains limited to a fraction of patients. Here we interrogated tumor-microenvironment (TME) cellular states and interactions of longitudinal samples from 13 metastatic melanoma patients treated with TIL-ACT in our clinical study (NCT03475134). We performed single-cell RNA-seq and spatial proteomic analyses in pre- and post-ACT tumor tissues and showed that responders exhibited higher tumor cell-intrinsic immunogenicity. Also, endogenous CD8+ TILs and myeloid cells of responders were characterized by increased cytotoxicity, exhaustion and costimulation and type-I IFN signaling, respectively. Cell-cell interaction prediction analyses corroborated by spatial neighborhood analyses revealed that responders have rich baseline intratumoral and stromal tumor-reactive T-cell networks with activated myeloid populations. Successful TIL-ACT therapy further reprogrammed the myeloid compartment and increased TIL-myeloid networks. Our systematic target discovery study reveals CD8+ T-cell network-based biomarkers that could improve patient selection and guide the design of ACT clinical trials. One-Sentence SummaryResponse to adoptive TIL therapy in melanoma is determined by CD8+ TIL-myeloid cell networks
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Time-, tissue- and treatment-associated heterogeneity in tumour-residing migratory DCs 96%
- LAG-3 blockade reactivates the CD8+ T cell expansion program to re-expand contracted clones in the tumor 96%
- Multi-omic lineage tracing predicts the transcriptional, epigenetic and genetic determinants of cancer evolution 96%
Similar papers in this journal
- Fate-mapping lymphocyte clones and their progenies from induced antigen-signals identifies temporospatial behaviours of T cells mediating tolerance 96%
- Distinct CD8+ T Cell Programming in the Tumor Microenvironment Contributes to Sex Bias in Bladder Cancer Outcome 96%
- In vivo genome-wide CRISPR screens identify SOCS1 as a major intrinsic checkpoint of CD4+ Th1 cell response 95%
Similar papers in this journal
- 1-Methylnicotinamide is an immune regulatory metabolite in human ovarian cancer 95%
- Simultaneous analysis of pMHC binding and reactivity unveils virus-specific CD8 T cell immunity to a concise epitope set 95%
- Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing 95%
Similar papers in this journal
- NFAT5 induction by the tumor microenvironment enforces CD8 T cell exhaustion 96%
- Repertoire analyses reveal TCR sequence features that influence T cell fate 96%
- Spatial analysis of human lung cancer reveals organized immune hubs enriched for stem-like CD8 T cells and associated with immunotherapy response 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.