Omics · study · 2026
Single-cell multi-omics provide insights into molecular drivers of CAR T Cell Persistence and Function in Multiple Myeloma
Listed in NCBI GEO
The underpinning mechanisms driving chimeric antigen receptor (CAR) T cell function and persistence after infusion, and their correlation with clinical outcome, remains poorly understood.
Description
Here, we applied single-cell multiomics, coupled with gene regulatory network analyses, to evaluate CAR-T cell transcriptional heterogeneity, dynamics and clonal evolution, in longitudinal bone marrow (BM) and peripheral blood (PB) paired samples, collected from MM patients treated with BCMA CAR T cells.
We identify several regulons with increased activity, within CAR T cell infiltrating the BM, as key drivers of the more activated and exhausted phenotype observed in those cells compared to their PB counterparts. Interestingly, regulatory dysfunctions in the effector-to-memory axis promoted higher presence of terminally differentiated cells, leading to a lack of CAR T cell persistence. Moreover, we identified a hyperexpanded CAR T clone in the BM of a patient with partial response.
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Deeper characterization showed increased IL10 expression in that clone, that was associated to transcription factors related to exhausted CAR T cells, like PRDM1. Overall, our analyses provide insights into the regulatory mechanisms that could promote lack of CAR T cell persistence and dysfunction, representing potential targets to be modulated for the development of improved CAR T therapies for MM.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE290nnn/GSE290061 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE290061 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1226131 ncbi.nlm.nih.gov/bioproject/PRJNA1226131 ↗
project · from NCBI GEO
- PubMed 42027747 pubmed.ncbi.nlm.nih.gov/42027747 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens · Other
- From keywords
- Life Sciences
- Inferred from text
- Biochemistry and cell biology 71% · Longitudinal study 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE290061 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3101 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].local:method:longitudinal-study | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |