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Spatial predictors of response to chemo-immunotherapy in microsatellite stable metastatic colorectal cancer

GSE326101 Homo sapiens (human) Other 8 samples Submitted 2026/03/27 Platform GPL24676
At a glance

human · 8 samples

Organism
Homo sapiens (human)
Topic
Colorectal cancerThis series is part of our curated briefing on it.
Samples
8 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Microsatellite-stable (MSS) colorectal cancers (CRC) are largely unresponsive to immune checkpoint inhibition (ICI). The MAYA trial used temozolomide (TMZ) in MGMT-silenced MSS mCRC, hypothesizing that TMZ-induced hypermutation could sensitize tumors to ICI; the primary endpoint was met, showing durable responses with TMZ plus ipilimumab and nivolumab.
Read the full summary ↓
We perform integrated spatial, transcriptomic, and immune profiling of longitudinal tumor and blood samples from patients treated on the MAYA trial. Post-TMZ increases in tumor mutational burden associate with improved progression-free survival. Spatial profiling demonstrates that clinical benefit is greatest in permissive tumor microenvironments. Responders exhibit enrichment of cytotoxic T cells across tumor and stromal compartments, whereas non-responders display heterogeneous cellular neighborhoods, with fibroblasts in close spatial proximity to T cells, consistent with barriers to immune mediated clearance. Longitudinal peripheral immune profiling shows that early upregulation of TIGIT and PD-1 following TMZ exposure predicts resistance. Together, these findings indicate that both mutational evolution and spatial immune architecture contribute to immune sensitization in MGMT-silenced MSS CRC.
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE326101_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 PRJNA1443349. Searching any of these in the dataset finder brings you back here.

Samples in this study

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