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Discovery of BMS-986408, a First-In-Class Dual DGK⍺ and DGK Inhibitor That Unleashes PD-1 Checkpoint and CAR-T Cell Immunotherapies

GSE293295 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/04/04 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 20 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
Mus musculus (mouse)
Samples
20 samples: 5 × MC38 tumor tissue, vehicle treated, vs 5 × MC38 tumor tissue, aPD1 treated, vs 5 × MC38 tumor tissue, BMS-986408 treated, vs 5 × MC38 tumor tissue, BMS-986408+aPD1 treated,Groups 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)
DGKα and DGKζ are lipid kinases that negatively regulate T cell signaling through diacylglycerol (DAG) metabolism, making them attractive targets for next-generation immunotherapy. Here, we disclose the discovery and pre-clinical characterization of the first clinical-stage DGKα and DGKζ lipid kinase inhibitor, BMS-986408. BMS-986408 binds to the accessory subdomain of the catalytic domain and inhibits DGKα/ζ through a mechanism of action that includes DAG-substrate competitive inhibition, subcellular translocation to plasma membrane, and proteosome-dependent degradation.
Read the full summary ↓
DGKα/ζ inhibition markedly improved the therapeutic benefit of PD-1 therapy by unleashing T cell responses in the tumor while also uniquely amplifying the priming and expansion of tumor-reactive T cells in the tumor-draining lymph nodes. Importantly, simultaneous inhibition of both DGKα and DGKζ was required to maximize combination benefit with PD-1 therapy. DGKα and DGKζ were broadly expressed in NSCLC tumor-infiltrated T cells and combination therapy invigorated a robust cytokine response in NSCLC patient-derived organotypic tumors supporting the clinical evaluation of this combination in NSCLC patients. BMS-986408 also markedly improved CD19-targeted CAR-T cell therapy efficacy by overcoming hypo-functionality, insufficient expansion, and lack of co-stimulatory ligands. BMS-986408 represents the first critical step towards evaluating the broad immunotherapy potential of DGKα/ζ inhibitors in cancer patients.
This dataset
Open GSE293295 in finder → Find more mouse 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 GSE293295_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 PRJNA1243949 and SRA study SRP574934. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × MC38 tumor tissue, vehicle treated, vs 5 × MC38 tumor tissue, aPD1 treated, vs 5 × MC38 tumor tissue, BMS-986408 treated, vs 5 × MC38 tumor tissue, BMS-986408+aPD1 treated,

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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

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