Excel · study · 2026
Dissecting diffuse large B cell lymphoma heterogeneity: new insights from a state-specific molecular characterization
Listed in NCBI GEO
Diffuse large B cell lymphoma (DLBCL) is a biologically and clinically heterogeneous disease.
Description
In this study, we analyzed a real-world cohort of 178 newly diagnosed DLBCL patients homogeneously treated with R-CHOP–like regimens, integrating RNA sequencing, targeted mutational profiling, and digital deconvolution using the EcoTyper algorithm. Five malignant B cell states (S1–S5) were identified, each reflecting distinct differentiation and transcriptional programs with prognostic relevance, S1 and S5 representing the most favorable and adverse subtypes, respectively.
EcoTyper-defined Lymphoma Ecotypes (LE1–LE9), capturing co-associations between malignant and microenvironmental cell states, further refined prognostic classification, with LE1/LE2 and LE9 associated with the worst and most favorable prognosis, respectively. Both B-cell states and LE retained independent prognostic value in multivariable analyses after adjusting for the Cell-of-Origin and the revised International Prognostic Index.
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Mutational profiling revealed state-specific patterns: S1 harbored mutations in genes involved in epigenetic regulation, cytoskeletal organization, and tumor microenvironment (TME) interactions (CREBBP, EZH2, ACTB), whereas S5 was enriched for mutations promoting survival signaling, immune evasion, and differentiation blockade (MYD88, CD79B, TP53). Pathway analysis indicated that S1 was linked to cell adhesion, extracellular matrix remodeling, and inflammatory signaling, while S5 displayed enrichment of cell cycle deregulation, metabolic reprogramming, and immune evasion.
Accordingly, S1 tumors appear reliant on TME interactions, whereas S5 tumors adopt a predominantly TME-independent, intrinsically aggressive phenotype. Collectively, these findings delineate a biologically coherent framework linking pathway deregulation with cell state and ecotype specific mutational landscapes, refining DLBCL risk classification and adding an additional dimension to conventional prognostic models.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE337nnn/GSE337531 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE337531 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1490237 ncbi.nlm.nih.gov/bioproject/PRJNA1490237 ↗
project · from NCBI GEO
- PubMed 42613996 pubmed.ncbi.nlm.nih.gov/42613996 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 65% · Disease 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE337531 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |