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Cancer-specific CD8 T cell frequency at baseline in blood correlates with response to PD-1 blockade in Merkel cell carcinoma.

GSE227708 Homo sapiens (human) Other 16 samples Submitted 2023/04/01 Platform GPL24676
At a glance

human · 16 samples

Organism
Homo sapiens (human)
Topic
Merkel cell carcinomaThis series is part of our curated briefing on it.
Samples
16 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Understanding immunotherapy resistance is challenging due to difficulty identifying cancer-specific T cells. Merkel cell carcinoma (MCC) is typically driven by Merkel cell polyomavirus (MCPyV), facilitating identification of cancer-specific T cells across patients. We characterized cancer-specific T cells in 35 MCC patients, including participants in a neoadjuvant anti-PD-1 trial.
Read the full summary ↓
Higher MCPyV-specific CD8 T-cell frequency in pre-treatment blood (but not tumors) correlated with response (p=0.005). Single-cell transcriptomics revealed MCPyV-specific CD8 T cells in blood had increased stem/memory signatures and decreased exhaustion signatures relative to their intratumoral counterparts. While frequency of peripheral cancer-specific T cells was associated with response to initial PD-(L)1 blockade, longitudinal study of acquired resistance revealed immune evasion by tumor-cell MHC-I downregulation despite cancer-specific T cell expansion to 0.5% in blood. Blood thus appears to be an important reservoir of cancer-specific CD8 T cells and adoptive cell therapies may be particularly effective in patients without such cells.
This dataset
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Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

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Supplementary files

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All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE227708_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA946694. Searching any of these in the dataset finder brings you back here.

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