PLX148801

GSE141119: PD-1 and TIGIT co-expression identifies a circulating CD8 T cell population predictive of response to anti-PD-1 therapy in melanoma and Merkel-cell carcinoma patients [RNA-seq]

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Clinical benefit from PD-1 inhibitors relies on reinvigoration of endogenous anti-tumor immunity. Efforts to define cellular populations associated with PD-1 clinical efficacy have been largely restricted to analysis of tumor material and the description of subsets of relevant cellular-based biomarkers in the blood of PD-1 inhibitor treated cancer patients are yet to be characterized. Given the particular expression pattern of PD-1 and TIGIT inhibitory receptors on peripheral CD8 T-cell subsets and the reported importance of CD8 T cells co-expressing these two markers for anti-PD-1 efficacy, we sought to determine the distinct biological features of peripheral CD8 subsets delineated based on PD-1 and TIGIT expression. Our findings identify the PD-1+TIGIT+ (DPOS) CD8+ T-cell population as a subset of highly activated and proliferating T cells, enriched in tumor-specific T-cell clones and overexpressing CXCR5, a key marker of the recently described CD8 cytotoxic follicular T cell (Tfc) population. Strikingly, the frequency of DPOS T cells after 1 month of anti-PD-1 therapy was associated with clinical response in three independent cohorts of cancer patients treated with PD-1 inhibitor. Additionally, transcriptomic profiling of this subset described common features with the PD-1high CXCL13+ lymphocyte subset previously demonstrated in tumor infiltrates to be predictive of PD-1 blockade efficacy. Furthermore, TCR repertoire analysis described a cluster of emerging T-cell clonotypes in the DPOS population as a key feature of PD-1 therapeutic efficacy. SOURCE: Sylvain Simon (ssylvain@fredhutch.org) - Stanley R. Riddell Fred Hutchinson cancer research center

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team