← BioTransfer GEO Dataset Finder
GEO series

Radiation and Dual Checkpoint Blockade Activates Non-Redundant Mechanisms in Cancer

GSE65503 Mus musculus Expression profiling by array 14 samples Submitted 2015/03/16 Platform GPL6246Platform GPL16570
Summary
Response to immune checkpoint inhibitors may be improved through combinations with each other and other therapies, raising questions about non-redundancy and resistance. We report results from parallel studies of melanoma patients and mice treated with anti-CTLA4 and radiation (RT). Although combined treatment improved responses, resistance was common. Computational analyses of immune and transcriptomic profiles (provided here) revealed that resistance in mice was due to upregulation of tumor PD-L1 that drives T cell exhaustion. Accordingly, optimal response requires RT, anti-CTLA4, and anti-PD-L1. Anti-CTLA4 inhibits Tregs, RT diversifies and shapes the TCR repertoire, and anti-PD-L1 reinvigorates exhausted T cells. Together, all three therapies promote the expansion of clonotypes with distinct TCR traits. Similar to mice, patients with melanoma showing high PD-L1 did not respond to RT + anti-CTLA4, demonstrated persistent T cell exhaustion, and rapidly progressed. Thus, the combination of RT, anti-CTLA4, and anti-PD-L1 promotes response through distinct mechanisms.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE65503_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 14 samples.

Also filed as BioProject PRJNA274233. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 14 more — browse all 14 samples with per-sample file links →

Similar datasets

Search all mouse microarray datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.