← BioTransfer GEO Dataset Finder
GEO series

Enfortumab Vedotin Induces Immunogenic Cell Death and Shows Enhanced Preclinical Antitumor Activity When Combined With a PD-1 Inhibitor

GSE264352 Homo sapiens (human) RNA-seq (gene expression) 21 samples Submitted 2024/04/19 Platform GPL16512
At a glance

RNA-seq (gene expression) · human · 21 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
21 samples: 7 × T24-hNectin4 (untreated) mouse vs 7 × T24-hNectin4 (ADC-treated) mouse vs 7 × T24-hNectin4 (ADC-control) mouseGroups 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)
Enfortumab vedotin is a Nectin-4-directed antibody–drug conjugate designed to deliver the microtubule-disrupting agent monomethyl auristatin E (MMAE) in tumor cells. Using preclinical models of urothelial cancer (UC), we expand the understanding of the multifaceted mechanism of action for enfortumab vedotin that includes direct cytotoxicity on Nectin-4–positive tumor cells, indirect bystander effect on neighboring Nectin-4–negative tumor cells, and MMAE-mediated induction of immunogenic cell death (ICD) and associated increase in activated immune cells in the tumor microenvironment.
Read the full summary ↓
Importantly, vaccination with enfortumab vedotin-treated tumor cells drives antitumor immunity and provides protection against rechallenge in mice. MMAE-mediated ICD induction modulates the tumor microenvironment in a complementary manner to immune checkpoint inhibition. Accordingly, enfortumab vedotin plus PD-1 inhibitor shows enhanced antitumor activity in vivo. These preclinical results demonstrate the underlying mechanisms consistent with the significantly improved clinical outcomes observed for enfortumab vedotin plus pembrolizumab relative to chemotherapy in the first-line treatment of la/mUC.
This dataset
Open GSE264352 in finder → Find more RNA-seq datasets →
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 GSE264352_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 PRJNA1102018 and SRA study SRP502679. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 × T24-hNectin4 (untreated) mouse vs 7 × T24-hNectin4 (ADC-treated) mouse vs 7 × T24-hNectin4 (ADC-control) mouse

Supports a case/control comparison: 7 samples read as cases, 7 as controls.

How we read this: 3 replicated groups read from 21 sample titles; they account for 21 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
Datasets on a similar topic

Search all 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.