Title
Phased differentiation of γδ T and T CD8 tumor-infiltrating lymphocytes revealed by single-cell transcriptomics of human cancers
Date Issued
01 January 2021
Access level
open access
Resource Type
journal article
Author(s)
Perrier M.
Balança C.C.
Gravelle P.
Pont F.
Devaud C.
Franchini D.M.
Féliu V.
Tosolini M.
Valle C.
Lopez F.
Quillet-Mary A.
Ysebaert L.
Martinez A.
Delord J.P.
Ayyoub M.
Laurent C.
Fournie J.J.
Centre de Recherches en Cancérologie de Toulouse
Publisher(s)
Taylor and Francis Ltd.
Abstract
γδ T lymphocytes diverge from conventional T CD8 lymphocytes for ontogeny, homing, and antigen specificity, but whether their differentiation in tumors also deviates was unknown. Using innovative analyses of our original and ~150 published single-cell RNA sequencing datasets validated by phenotyping of human tumors and murine models, here we present the first high-resolution view of human γδ T cell differentiation in cancer. While γδ T lymphocytes prominently encompass TCRVγ9 cells more differentiated than T CD8 in healthy donor’s blood, a different scenario is unveiled in tumors. Solid tumors and lymphomas are infiltrated by a majority of TCRVγnon9 γδ T cells which are quantitatively correlated and remarkably aligned with T CD8 for differentiation, exhaustion, gene expression profile, and response to immune checkpoint therapy. This cancer-wide association is critical for developing cancer immunotherapies.
Volume
10
Issue
1
Language
English
OCDE Knowledge area
Oncología
Subjects
Scopus EID
2-s2.0-85115249662
PubMed ID
Source
OncoImmunology
ISSN of the container
21624011
Sponsor(s)
This work was supported in part by institutional grants from the Institut National de la Santé et de la Recherche Médicale (INSERM), the Université Toulouse III-Paul Sabatier, the Centre National de la Recherche Scientifique (CNRS); Laboratoire d’Excellence Toulouse Cancer (TOUCAN-2) under grant contract ANR11-LABX, the Fondation ARC under grant contract PGA1-RF2019-0208691; Institut Universitaire du Cancer de Toulouse-Oncopole under contract CIEL; Institut Carnot Lymphome under cointract CALYM. This work was granted access to the HPC resources of CALMIP supercomputing center under allocation 2020-T19001. We are also grateful to the Genotoul bioinformatics platform (Bioinfo Genotoul, Toulouse Midi-Pyrenees) for providing computing resources;Fondation ARC pour la Recherche sur le Cancer [PGA1 RF20190208691];Institut Carnot CALYM [RAC21009BA];LabEx Toulouse Cancer [ANR11-LABX]. We acknowledge F. Dieli and S. Coffelt for suggestions and critical comments on the manuscript, C Steidl for facilitating access to HL datasets, and CRCT colleagues for helpful discussions.
Sources of information:
Directorio de Producción Científica
Scopus