Integrative tissue analysis of men with prostate cancer VIII
RNA-seq (gene expression) · human · 42 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
- Prostate cancerThis series is part of our curated briefing on it.
- Samples
- 42 samples: 11 conditions, mostly in duplicateGroups 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
- Integrative Genomic Profiling of Newly Diagnosed Prostate Cancers Progressing on SurveillanceUrology · 2026
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE309841_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1363868. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 22 samples.
How we read this: 11 replicated groups read from 42 sample titles; they account for 22 of them. 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.
- GSM9283026 RNA-seq_pt19_buffy_t1
- GSM9283027 RNA-seq_pt19_tumor_t1 RNA-seq_pt19_tumor_t
- GSM9283028 RNA-seq_pt19_PIN_t1
- GSM9283029 RNA-seq_pt19_stroma_t1
- GSM9283030 RNA-seq_pt19_tumor_t2 RNA-seq_pt19_tumor_t
- GSM9283031 RNA-seq_pt19_benign_t2
- GSM9283032 RNA-seq_pt55_tumor_t1 RNA-seq_pt55_tumor_t
- GSM9283033 RNA-seq_pt55_buffy_t2
- GSM9283034 RNA-seq_pt55_tumor_t2 RNA-seq_pt55_tumor_t
- GSM9283035 RNA-seq_pt55_benign_t2
- GSM9283036 RNA-seq_pt55_stroma_both
- GSM9283037 RNA-seq_pt59_tumor_t1 RNA-seq_pt59_tumor_t
- GSM9283038 RNA-seq_pt59_PIN_t1 RNA-seq_pt59_PIN_t
- GSM9283039 RNA-seq_pt59_buffy_t2
- GSM9283040 RNA-seq_pt59_tumor_t2 RNA-seq_pt59_tumor_t
- GSM9283041 RNA-seq_pt59_PIN_t2 RNA-seq_pt59_PIN_t
- GSM9283042 RNA-seq_pt59_stroma_both
- GSM9283043 RNA-seq_pt66_buffy_t1 RNA-seq_pt66_buffy_t
- GSM9283044 RNA-seq_pt66_tumor_t1
- GSM9283045 RNA-seq_pt66_PIN_t1
- GSM9283046 RNA-seq_pt66_buffy_t2 RNA-seq_pt66_buffy_t
- GSM9283047 RNA-seq_pt66_stroma_t2
- GSM9283048 RNA-seq_pt66_benign_t2
- GSM9283049 RNA-seq_pt75_buffy_t1 RNA-seq_pt75_buffy_t
- GSM9283050 RNA-seq_pt75_tumor_t1 RNA-seq_pt75_tumor_t
- GSM9283051 RNA-seq_pt75_PIN_t1
- GSM9283052 RNA-seq_pt75_buffy_t2 RNA-seq_pt75_buffy_t
- GSM9283053 RNA-seq_pt75_tumor_t2 RNA-seq_pt75_tumor_t
- GSM9283054 RNA-seq_pt75_benign_t2
- GSM9283055 RNA-seq_pt75_stroma_t2
- GSM9283056 RNA-seq_pt79_buffy_t1 RNA-seq_pt79_buffy_t
- GSM9283057 RNA-seq_pt79_tumor_t1 RNA-seq_pt79_tumor_t
- GSM9283058 RNA-seq_pt79_buffy_t2 RNA-seq_pt79_buffy_t
- GSM9283059 RNA-seq_pt79_tumor_t2 RNA-seq_pt79_tumor_t
- GSM9283060 RNA-seq_pt79_benign_both
- GSM9283061 RNA-seq_pt79_stroma_both
- GSM9283062 RNA-seq_pt113_buffy_t1 RNA-seq_pt113_buffy_t
- GSM9283063 RNA-seq_pt113_tumor_t1 RNA-seq_pt113_tumor_t
- GSM9283064 RNA-seq_pt113_buffy_t2 RNA-seq_pt113_buffy_t
- GSM9283065 RNA-seq_pt113_tumor_t2 RNA-seq_pt113_tumor_t
+ 2 more — browse all 42 samples with per-sample file links →
- GSE115501 RNA sequencing on circulating tumor cells from prostate cancer patients 136 samples same disease briefing · shares prostate
- GSE222467 The RNA binding proteins LARP4A and LARP4B promote tumour growth and metastasis in prostate cancer and osteosarcoma 12 samples same disease briefing · shares prostate
- GSE300947 A novel six-biomarker panel identified from male breast cancer-associated fibroblasts demonstrates prognostic power for prostate tumors 6 samples same disease briefing · shares prostate
- GSE120181 Human prostate cancer cell line, 22Rv1: Control vs. luteolin treatment 2 samples same disease briefing · shares prostate
- GSE242541 ONECUT2 is a druggable driver of luminal to basal breast cancer plasticity 12 samples same disease briefing
- GSE71008 Plasma extracellular RNA profiles in healthy and cancer patients 192 samples same disease briefing
- GSE268308 Transcriptional analysis of metastatic hormone-naïve prostate cancer primary tumour biopsies reveals a relevant role for SOX11 in prostate cancer cell dissemination [Discovery dataset] 78 samples shares prostate
- GSE222196 Treatment of prostate cancer cell lines with Androgen Receptor and Receptor Tyrosine Kinase inhibitors 246 samples shares prostate
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.