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Identification of CADM1 as an Immunotherapeutic Target and Evaluation of a Novel CADM1-Targeting Antibody-Drug Conjugate in Preclinical Osteosarcoma Models

GSE309827 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2026/02/25 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 17 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
OsteosarcomaThis series is part of our curated briefing on it.
Samples
17 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
Identification of CADM1 as an Immunotherapeutic Target and Evaluation of a Novel CADM1-Targeting Antibody-Drug Conjugate in Preclinical Osteosarcoma ModelsMolecular cancer therapeutics · 2026
Summary (written by the submitters)
Due to the paucity of validated cell surface osteosarcoma-specific targets, patients with this condition have long been excluded from the benefits of antibody-drug conjugate (ADC) therapy observed in several solid and hematologic malignancies. Our comprehensive surfaceome and RNA-seq profiling approach identified osteosarcoma-specific cell-surface antigens that are highly expressed in osteosarcomas but minimally expressed in normal tissues. As a result, one such antigen, CADM1, was selected for the generation of an ADC.
Published in
Identification of CADM1 as an Immunotherapeutic Target and Evaluation of a Novel CADM1-Targeting Antibody-Drug Conjugate in Preclinical Osteosarcoma Models
Wang Y, Zhang Z, Longo C et al. · Molecular cancer therapeutics 2026 · PMID 41517891 · doi:10.1158/1535-7163.MCT-25-0450
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 GSE309827_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 PRJNA1363778 and SRA study SRP644434. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 17 individual samples

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

How we read this: Sample titles run CCG242 … CCG396 and carry no group information.

Samples in this study
More Osteosarcoma 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.