Tumor invasion in draining lymph nodes is associated with Treg accumulation in breast cancer patients - Inserm - Institut national de la santé et de la recherche médicale Accéder directement au contenu
Article Dans Une Revue Nature Communications Année : 2020

Tumor invasion in draining lymph nodes is associated with Treg accumulation in breast cancer patients

Jeremy Bigot
  • Fonction : Auteur
Sophie Viel
  • Fonction : Auteur
Louis Pérol
  • Fonction : Auteur

Résumé

Tumor-draining lymph node (TDLN) invasion by metastatic cells in breast cancer correlates with poor prognosis and is associated with local immunosuppression, which can be partly mediated by regulatory T cells (Tregs). Here, we study Tregs from matched tumor-invaded and non-invaded TDLNs, and breast tumors. We observe that Treg frequencies increase with nodal invasion, and that Tregs express higher levels of co-inhibitory/stimulatory receptors than effector cells. Also, while Tregs show conserved suppressive function in TDLN and tumor, conventional T cells (Tconvs) in TDLNs proliferate and produce Th1-inflammatory cytokines, but are dysfunctional in the tumor. We describe a common transcriptomic signature shared by Tregs from tumors and nodes, including CD80, which is significantly associated with poor patient survival. TCR RNA-sequencing analysis indicates trafficking between TDLNs and tumors and ongoing Tconv/Treg conversion. Overall, TDLN Tregs are functional and express a distinct pattern of druggable co-receptors, highlighting their potential as targets for cancer immunotherapy.
Fichier principal
Vignette du fichier
s41467-020-17046-2 (1).pdf (3.67 Mo) Télécharger le fichier
Origine : Publication financée par une institution
Loading...

Dates et versions

inserm-02908210 , version 1 (28-07-2020)

Identifiants

Citer

Nicolas Gonzalo Núñez, Jimena Tosello Boari, Rodrigo Nalio Ramos, Wilfrid Richer, Nicolas Cagnard, et al.. Tumor invasion in draining lymph nodes is associated with Treg accumulation in breast cancer patients. Nature Communications, 2020, 11 (1), pp.3272. ⟨10.1038/s41467-020-17046-2⟩. ⟨inserm-02908210⟩
125 Consultations
212 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More