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Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung Tumors.

John A GroutPhilémon SirvenAndrew M LeaderShrisha MaskeyEglantine HectorIsabelle PuisieuxFiona SteffanEvan ChengNavpreet TungMathieu MaurinRomain VaineauLea KarpfMartin PlaudAnne-Laure BegueKoushik GaneshJérémy MespleMaría Casanova-AcebesAlexandra TabachnikovaShilpa KeerthivasanAlona LanskyJessica Le BerichelLaura WalkerAdeeb H RahmanSacha GnjaticNicolas GirardMarine LefevreDiane DamotteJulien AdamJerome Christophe MartinAndrea WolfRaja M FloresMary Beth BeasleyRachana N PradhanSören MüllerThomas U MarronShannon J TurleyMiriam MeradEphraim KenigsbergHélène Salmon
Published in: Cancer discovery (2022)
The cellular and molecular programs driving T-cell marginalization in solid tumors remain unclear. Here, we describe two CAF populations associated with T-cell exclusion in human lung tumors. We demonstrate the importance of pairing molecular and spatial analysis of the tumor microenvironment, a prerequisite to developing new strategies targeting T cell-excluding CAF. See related commentary by Sherman, p. 2501. This article is highlighted in the In This Issue feature, p. 2483.
Keyphrases
  • public health
  • deep learning
  • single molecule
  • cancer therapy
  • extracellular matrix
  • drug delivery
  • genetic diversity
  • drug induced
  • neural network