GEO series

Transcriptome analysis of Follicular Lymphomas from the PRIMABIO cohort

GSE93261 Homo sapiens (human) Expression microarray 149 samples Submitted 2018/02/19 Platform GPL570

At a glance

Expression microarray · human · 149 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Topic: Follicular lymphomaThis series is part of our curated briefing on it.
Samples: 149 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

We investigated the biological features of FL and their relationship to patients’ outcome. Gene expression analysis was carried out on diagnosis biopsies from 148 follicular lymphoma patients enrolled in the PRIMA clinical trial. We developed a gene expression-based predictor of progression-free survival (PFS) in high-tumour burden FL patients and we analysed gene-expression signatures reflecting different aspects of tumour biology for their association with outcome.

Read the full summary ↓

proposition SH: We investigated the biological features of FL and their relationship to patients’ outcome. Gene expression analysis was carried out on diagnosis biopsies from 148 follicular lymphoma patients enrolled in the PRIMA clinical trial. We developed a gene expression-based predictor of progression-free survival (PFS) in high-tumour burden FL patients and we analysed gene-expression signatures reflecting different aspects of tumour biology for their association with outcome.

This dataset

Open GSE93261 in finder → Find more human microarray datasets → Follicular lymphoma landscape →

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.

Series matrix ↓

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 (GSE93261_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA360433. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 29475724) ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 149 more — browse all 149 samples with per-sample file links →

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GSE52562 Gene expression profiling of tumor biopsies before and after pidilizumab therapy in patients with relapsed follicular lymphoma grade 1 or grade 2. 26 samples same disease briefing · shares follicular
GSE273484 Blunted CD40-responsive enhancer activation in CREBBP-mutant lymphomas can be restored by enforced CD4 T-cell engagement 534 samples same disease briefing · shares lymphomas
GSE42525 Affymetrix SNP array data for follicular lymphoma (FL) and transformed follicular lymphoma (tFL) samples 91 samples same disease briefing · shares follicular
GSE272403 Multi-omics profiling of longitudinal samples reveals early genomic changes in follicular lymphoma 76 samples same disease briefing · shares follicular
GSE261465 STAT6 mutations compensate for CREBBP mutations and hyperactivate IL4/STAT6/RRAGD/mTOR signaling in follicular lymphoma 46 samples same disease briefing · shares follicular

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