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Circumventing Resistance within the Ewing Sarcoma Microenvironment by Anti-MCAM Chimeric Antigen Receptor Modified Ex-vivo Expanded Natural Killer Cells Combinatorial Therapy

GSE251936 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2024/09/18 Platform GPL25526Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 22 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
Ewing sarcomaThis series is part of our curated briefing on it.
Samples
22 samples
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
Circumventing resistance within the Ewing sarcoma microenvironment by combinatorial innate immunotherapyJournal for immunotherapy of cancer · 2024
Summary (written by the submitters)
Pediatric patients with recurrent metastatic Ewing sarcoma (ES) have a dismal 5-year survival of < 30% largely secondary to treatment resistance in the tumor microenvironment (TME). Novel therapeutic approaches are desperately needed and represent an unmet need. Here, we developed a chimeric antigen receptor (CAR) expressing natural killer (NK) cell targeting melanoma cell adhesion molecule (MCAM) by electroporation of CAR mRNA into ex-vivo expanded NK cells.
Read the full summary ↓
Expression of anti-MCAM CAR significantly and specifically enhanced NK cytotoxic activity compared to mock NK cells against MCAMhigh ES cells in vitro, and significantly reduced lung metastasis and extended animal survival in an orthotopic xenograft mouse model of ES. However, anti-MCAM CAR NK cells had minimal effects on decreasing primary tumor growth in vivo. We performed transcriptome profiling in patient-derived xenografts to identify the underlying mechanisms of NK cell resistance in ES TME.
Published in
Circumventing resistance within the Ewing sarcoma microenvironment by combinatorial innate immunotherapy
Luo W, Hoang H, Zhu H et al. · Journal for immunotherapy of cancer 2024 · PMID 39266215 · doi:10.1136/jitc-2024-009726
This dataset
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.

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 GSE251936_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1055951 and SRA study SRP479703. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 22 more — browse all 22 samples with per-sample file links →

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