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Multimodal delineation of a layer of effector function among exhausted CD8 T cells in tumors [CITE-seq]

ABSTRACT: The anti-tumor function of CD8 T cells is limited through well-established pathways of T cell exhaustion (TEX). Strategies to capture emergent functional states amongst this dominant trajectory of dysfunction are necessary to find pathways to durable anti-tumor immunity. By leveraging transcriptional reporting (by the fluorescent protein TFP) of the T cell activation marker Cd69, related to upstream AP-1 transcription factors, we define a classifier for potent versus sub-optimal CD69+ activation states arising from T cell stimulation. In tumors, this delineation acts an additional functional readout along the TEX differentiation trajectory, within and across TEX subsets, marked by enhanced effector cytokine and granzyme B production. The more potent state remains differentially prominent in a T cell-mediated tumor clearance model, where they also show increased engagement in the microenvironment and are superior in tumor cell killing. Employing multimodal CITE-Seq in human head and neck tumors enables a similar strategy to identify Cd69RNAhiCD69+ cells that also have enhanced functional features in comparison to Cd69RNAloCD69+ cells, again within and across intratumoral CD8 T cell subsets. Refining the contours of the T cell functional landscape in tumors in this way paves the way for the identification of rare exceptional effectors, with imminent relevance to cancer treatment.

ORGANISM(S): Homo sapiens

PROVIDER: GSE295704 | GEO | 2025/04/28

REPOSITORIES: GEO

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Multimodal delineation of a layer of effector function among exhausted CD8 T cells in tumors

Project description:The anti-tumor function of CD8 T cells is limited through well-established pathways of T cell exhaustion (TEX). Strategies to capture emergent functional states amongst this dominant trajectory of dysfunction are necessary to find pathways to durable anti-tumor immunity. By leveraging transcriptional reporting (by the fluorescent protein TFP) of the T cell activation marker Cd69, related to upstream AP-1 transcription factors, we define a classifier for potent versus sub-optimal CD69+ activation states arising from T cell stimulation. In tumors, this delineation acts an additional functional readout along the TEX differentiation trajectory, within and across TEX subsets, marked by enhanced effector cytokine and granzyme B production. The more potent state remains differentially prominent in a T cell-mediated tumor clearance model, where they also show increased engagement in the microenvironment and are superior in tumor cell killing. Employing multimodal CITE-Seq in human head and neck tumors enables a similar strategy to identify Cd69RNAhiCD69+ cells that also have enhanced functional features in comparison to Cd69RNAloCD69+ cells, again within and across intratumoral CD8 T cell subsets. Refining the contours of the T cell functional landscape in tumors in this way paves the way for the identification of rare exceptional effectors, with imminent relevance to cancer treatment.

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Multimodal delineation of a layer of effector function among exhausted CD8 T cells in tumors [scRNA-seq]

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Contrasting functions of CD73 and adenosine in CD8+ T cell exhaustion

Project description:T cell exhaustion is a state of functional decline in T cells, driven by chronic antigen exposure and inhibitory signals within the tumor microenvironment. Exhausted CD8+ T cells (Tex) derive from precursor exhausted T cells (Tpex), a self-renewing population responsible for the proliferative burst observed in anti-PD-1 therapies. Exhausted cells are exposed to adenosine in the tumor, yet the role of the CD73/adenosine axis and Tpex/Tex differentiation remains unclear. Using an in vitro model for CD8+ T cell exhaustion, we found that CD73 expression increased during Tpex formation and that its expression is negatively correlated with Tex generation. CD73-deficient (CD73KO) CD8⁺ T cells showed impaired activation and reduced progression to Tex. Moreover, we demonstrated that CD73 promotes transcriptional expression of the adenosine receptor A2A (A2AR) and the differentiation into IFNγ/TNFα-producing Tex cells. RNAseq analysis of exhausted CD73KO CD8+ T cells showed a more stem-like transcriptomic profile and enrichment in genes associated with the immune response than their WT counterpart. In vivo, co-transfer of naïve CD73 KO and WT tumor antigen-specific CD8⁺ T cells into tumor-bearing mice showed increased Tpex frequency and numbers among CD73KO cells in tumors. Conversely, in vitro exhaustion in the presence of A2AR agonists decreased Tex frequency and activation/exhaustion markers, while increasing CD73 and CD62L, markers associated with stemness. Supporting this, A2AR blockade with SYN115 in tumor-bearing mice reduced Tpex markers and increased Tex differentiation. Altogether, our data suggest CD73 promotes Tpex-to-Tex differentiation, whereas adenosine-A2AR signaling supports Tpex maintenance in the tumor microenvironment.

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Project description:Immune checkpoint inhibitor (ICI) therapies revitalize anti-cancer responses by intercepting protein-protein interactions between exhausted CD8 T (Tex) cells and cancer cells (e.g. PD-1:PD-L1). However, up to 50% of patients receiving ICIs relapse, warranting further interrogation of the underpinnings of Tex. We conducted RNA-seq meta-analysis of Tex versus effector (Teff) mouse CD8 T cells, and highlighted NRF2 transcriptional targets as the most upregulated gene set in Tex cells. LCMV or cancer inoculation of mice bearing NRF2 hyperactive—or Keap1-/- (NRF2 negative regulator)—T cells demonstrated that NRF2 drives Tex; evidenced by increased co-inhibitory marker (PD-1/TIM-3) expression and reduced cytokine (IFN-g/Granzyme-B) production. RNA-seq of Keap1-/- highlight Ptgir—which encodes the prostacyclin lipid receptor— as the most upregulated gene versus WT T cells. Accordingly, PTGIR knockout in NRF2-hyperactive/ Tex cells decreased PD-1/TIM-3 expression, increased cytokine production, and attenuated tumor growth. Our data underscore PTGIR as a NRF2-regulated Tex driver and illuminate an unconventional immune checkpoint class potentially based on protein-lipid interactions

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