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Genomic Analysis of Human Brain Metastases Treated with Stereotactic Radiosurgery Reveals Unique Signature Based on Treatment Failure. [RNA-Seq]

GSE256463 Homo sapiens (human) RNA-seq (gene expression) 46 samples Submitted 2024/03/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 46 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)
Samples
46 samples: 41 distinct titles, 1 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
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.
Paper
Genomic analysis of human brain metastases treated with stereotactic radiosurgery reveals unique signature based on treatment failureiScience · 2024
Summary (written by the submitters)
Stereotactic radiosurgery (SRS) has been shown to be efficacious for treatment of limited brain metastasis (BM), however, the effects of SRS on human brain metastases have yet to be studied. We performed genomic analysis of resected brain metastases from patients whose resected lesion was previously treated with SRS. Our analyses demonstrated for the first time that patients possess a distinct genomic signature based on type of treatment failure including local failure, leptomeningeal spread, and radio-necrosis.
Read the full summary ↓
Examination of the center and peripheral edge of the tumors treated with SRS indicated differential DNA damage distribution and an enrichment for tumor suppressor mutations and DNA damage repair pathways along the peripheral edge. Furthermore, the two clinical modalities used to deliver SRS, LINAC and GK, demonstrated differential effects on the tumor landscape even between controlled primary sites. Our study provides, in humans, biological evidence of differential effects of SRS across BM’s.
Published in
Genomic analysis of human brain metastases treated with stereotactic radiosurgery reveals unique signature based on treatment failure
Shireman JM, White Q, Ni Z et al. · iScience 2024 · PMID 38623341 · doi:10.1016/j.isci.2024.109601
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 GSE256463_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 PRJNA1079731 and SRA study SRP491372. Searching any of these in the dataset finder brings you back here.

Study design
41 distinct titles, 1 of them repeated
NU ×6

How we read this: Read from 46 sample titles: 41 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq 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.