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Radiation Therapy Inhances Immunotherapy Response in  Microsatellite-stable Colorectal and Pancreatic Adenocarcinoma in a Phase II Trial

GSE179351 Homo sapiens (human) RNA-seq (gene expression) 54 samples Submitted 2021/07/06 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 54 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
54 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Immune checkpoint blockade has limited efficacy in microsatellite stable (MSS) colorectal (CRC) and pancreatic (PDAC) cancer. Preclinical models have demonstrated the use of radiation to activate the innate immune response and stimulate responsiveness to immune checkpoint blockade. Here, we describe a Phase 2 trial of radiation therapy combined with combined anti-CTLA4 (ipilimumab) and anti-PD1 (nivolumab) antibodies in MSS CRC and PDAC.
Read the full summary ↓
In the per protocol analysis disease control rate was 37% (10/27) in CRC and 29% (5/17) in PDAC with an overall response rate of 15% (4/27) and 18% (3/17), respectively. Whole exome and RNA sequencing of biopsies from 17 patients revealed low tumor mutational burden in all tumors, but a notable upregulation of interferon stimulated genes with concordant high expression of multiple repeat RNA transcripts in responders. Altogether, this study provides foundational human proof of concept of radiation with combination immune checkpoint blockade therapy in otherwise immunotherapy resistant cancers.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, 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, or the whole study as GSE179351_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA743327 and SRA study SRP326688. Searching any of these in the dataset finder brings you back here.

Samples in this study

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