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 MoreImmunotherapies that block inhibitory checkpoint receptors on T cells have transformed the clinical care of cancer patients. However, the clonal origin of tumor-specific T cells following checkpoint blockade in patients remains unclear. Here, we performed paired single-cell RNA- and T cell receptor (TCR)- sequencing on site-matched tumors from patients with basal cell carcinoma (BCC) pre- and post-anti-PD-1 therapy. Tracking TCR clonotypes and transcriptome phenotypes revealed a coupling of tumor-recognition, clonal expansion, and T cell dysfunction: the response to treatment was accompanied by a clonal expansion of CD8+CD39+ T cells, which co-expressed markers of chronic T cell activation and exhaustion. However, this response was not accompanied by an expansion of pre-existing tumor-specific T cell clonotypes; rather, expanded T cell clones post-therapy comprised novel clonotypes, which were not previously observed in the same tumor. Clonal replacement of T cells was preferentially observed in tumor-specific exhausted CD8+ T cells, compared to other distinct T cell phenotypes, and was more evident in patients who exhibited a clinical response to treatment. These results, enabled by single-cell multi-omic profiling of clinical samples, demonstrate that the chronic activation of pre-existing tumor-infiltrating T cells may limit their re-invigoration following checkpoint blockade, and that a successful response relies on the expansion of a distinct repertoire of tumor-specific T cell clones. SOURCE: Howard,Y,Chang (howchang@stanford.edu) - Howard Y. Chang Stanford University
View on GEOView in PlutoEnhance 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 MoreUse 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 analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team