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Genomic accesssment of patients with HR+/HER2- metastatic breast cancer treated with palbociclib (PROMISE study) paired

GSE317628 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2026/01/28 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 10 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
Breast cancerThis series is part of our curated briefing on it.
Samples
10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Biomarker studies for cyclin-dependent 4/6 kinase inhibitors (CDK4/6i) are often limited by tissue availability and narrow genomic assessments. We conducted a multicenter prospective study to obtain an unbiased 'omics’ assessment of tumors derived from women commencing 1st line (1L) palbociclib plus letrozole for HR+ HER2- MBC. We generated RNA and DNA data from baseline and a subset of progression samples.
Read the full summary ↓
Patient-derived xenograft models were established from 10 samples. Genome-wide analyses and semi-supervised assessments of RB1-genes were conducted using whole exome and RNA sequencing data from baseline and progression tumors. Genes (FAT1, MYC, CDK2, and AMBRA1) known to drive CDK4/6i response, were confirmed to be associated with progression free survival (PFS). Novel CDK4/6i response genes including TIMELESS, SAE1, CENPU, SPAG5, and EXO1, as well as copy alterations in cytobands 12q21.2; 11q24.2; 1p22.3; 11p15.1, and 4q22.2 were observed to be associated with PFS. Paired baseline/progression samples demonstrated enrichment of genes involved in lipid metabolic processes, particularly beta oxidation as well as frequent intrinsic subtype switching. An RB1 signature, associated with shorter PFS (HR=2.72, p=0.006) and lack of cell cycle arrest in the NeoPalana study, may identify a subgroup of patients with de novo endocrine resistance.
This dataset
Open GSE317628 in finder → Find more human RNA-seq datasets → Breast cancer landscape →
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.

Series matrix ↓
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 GSE317628_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1414568. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 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
More Breast cancer datasets

Search all human RNA-seq datasets in GEO →

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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.