GEO series

Transcriptional signatures indicating RB function may predict response to CDK4/6 inhibition in endometrial cancer [RNA-Seq]

GSE323965 Homo sapiens (human) RNA-seq (gene expression) 39 samples Submitted 2026/07/13 Platform GPL34284

At a glance

RNA-seq (gene expression) · human · 39 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: Endometrial cancerThis series is part of our curated briefing on it.
Samples: 39 samples: 39 × RNAseq, PatientGroups 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)

RNA sequencing was performed on RNA samples from endometrial cancers from patients who participated in two different abemaciclib combination clinical trials. For a subset of patients, we also generated genomic DNA from the tumor samples and performed whole exome sequencing. The goal was to determine if the tumors had functional or dysfunctional RB using different transcriptional signatures and then to determine if the RB functional status of the tumor could predict patient response to the CDK4/6 inhibitor in the clinical trial.

This dataset

Open GSE323965 in finder → Find more human RNA-seq datasets → Endometrial 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 GSE323965_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 PRJNA1432771. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

39 × RNAseq, Patient

Supports a between-group comparison across 39 samples.

How we read this: 1 replicated groups read from 39 sample titles; they account for 39 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.

Samples in this study

GSM9565689 RNAseq, Patient 6 RNAseq, Patient
GSM9565690 RNAseq, Patient 7 RNAseq, Patient
GSM9565691 RNAseq, Patient 10 RNAseq, Patient
GSM9565692 RNAseq, Patient 11 RNAseq, Patient
GSM9565693 RNAseq, Patient 12 RNAseq, Patient
GSM9565694 RNAseq, Patient 13 RNAseq, Patient
GSM9565695 RNAseq, Patient 14 RNAseq, Patient
GSM9565696 RNAseq, Patient 15 RNAseq, Patient
GSM9565697 RNAseq, Patient 22 RNAseq, Patient
GSM9565698 RNAseq, Patient 23 RNAseq, Patient
GSM9565699 RNAseq, Patient 25 RNAseq, Patient
GSM9565700 RNAseq, Patient 27 RNAseq, Patient
GSM9565701 RNAseq, Patient 28 RNAseq, Patient
GSM9565702 RNAseq, Patient 29 RNAseq, Patient
GSM9565703 RNAseq, Patient 30 RNAseq, Patient
GSM9565704 RNAseq, Patient 31 RNAseq, Patient
GSM9565705 RNAseq, Patient 32 RNAseq, Patient
GSM9565706 RNAseq, Patient 33 RNAseq, Patient
GSM9565707 RNAseq, Patient 34 RNAseq, Patient
GSM9565708 RNAseq, Patient 35 RNAseq, Patient
GSM9565709 RNAseq, Patient 36 RNAseq, Patient
GSM9565710 RNAseq, Patient 37 RNAseq, Patient
GSM9565711 RNAseq, Patient 38 RNAseq, Patient
GSM9565712 RNAseq, Patient 41 RNAseq, Patient
GSM9565713 RNAseq, Patient 42 RNAseq, Patient
GSM9565714 RNAseq, Patient 43 RNAseq, Patient
GSM9565715 RNAseq, Patient 44 RNAseq, Patient
GSM9565716 RNAseq, Patient 46 RNAseq, Patient
GSM9565717 RNAseq, Patient 47 RNAseq, Patient
GSM9565718 RNAseq, Patient 48 RNAseq, Patient
GSM9565719 RNAseq, Patient 49 RNAseq, Patient
GSM9565720 RNAseq, Patient 50 RNAseq, Patient
GSM9565721 RNAseq, Patient 53 RNAseq, Patient
GSM9565722 RNAseq, Patient 55 RNAseq, Patient
GSM9565723 RNAseq, Patient 56 RNAseq, Patient
GSM9565724 RNAseq, Patient 57 RNAseq, Patient
GSM9565725 RNAseq, Patient 58 RNAseq, Patient
GSM9565726 RNAseq, Patient 59 RNAseq, Patient
GSM9565727 RNAseq, Patient 60 RNAseq, Patient

More Endometrial cancer datasets

GSE323968 Transcriptional signatures indicating RB function may predict response to CDK4/6 inhibition in endometrial cancer 56 samples same disease briefing · shares cdk4, endometrial, signatures, indicating, inhibition, predict
GSE271198 RNA-seq analysis for endometrium and serous classification of endometrial cancer 16 samples same disease briefing · shares endometrial, rna-seq
GSE334100 Identification of genomic features that uniquely impact estrogen receptor alpha binding and its effects on gene expression in endometrial cancer [RNA-seq] 16 samples same disease briefing · shares endometrial, rna-seq
GSE272263 Adipocyte induced distinct gene expression profiling of human endometrioid endometrial cancer cells upon SIRT1 inhibition. 5 samples same disease briefing · shares endometrial, inhibition
GSE167548 Expression profile of transcripts associated with Apcin-induced growth inhibition and apoptosis in endometrial carcinoma 8 samples same disease briefing · shares endometrial, inhibition
GSE307568 Patient-derived organoid – immune cell co-culture platform for therapeutics discovery in high-grade endometrial cancer 189 samples same disease briefing · shares endometrial
GSE303681 Pre-receptor regulation of 11-oxyandrogens differs between normal and cancerous endometrium and across endometrial cancer grades and molecular subtypes 18 samples same disease briefing · shares endometrial
GSE306395 A very low carbohydrate, ketogenic diet suppresses tumor insulin signaling and enhances immune infiltration in women with endometrial cancer: results from a randomized feasibility study. 16 samples same disease briefing · shares endometrial

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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.