Omics · study · 2026
Role of non-coding RNAs in classical hodgkin’s lymphoma treated within the EuroNet-PHL-C2 study
Listed in NCBI GEO
Pediatric Hodgkin lymphoma (HL) is a highly curable malignancy, yet a significant proportion of patients show inadequate early treatment responses despite intensive chemotherapy.
Description
The ability to identify these patients at diagnosis or early during therapy is critical for guiding treatment intensity and improving long‑term outcomes while minimizing unnecessary toxicity. MicroRNAs (miRNAs) have emerged as promising biomarkers in HL due to their stability in blood, ease of detection, and central role in regulating gene expression relevant to tumor biology.
This study aims to determine whether specific microRNA (miRNA) expression patterns can serve as predictive and prognostic biomarkers in pediatric Hodgkin lymphoma. It will identify signatures—defined by upregulated oncogenic and/or downregulated tumor‑suppressive miRNAs—associated with inadequate early PET (ERAqPET) responses after two cycles of OEPA chemotherapy. miRNA profiles at diagnosis and during treatment will be compared between ERAqPET‑positive and ERAqPET‑negative patients, and correlated with treatment outcomes to establish a biomarker profile for early risk stratification.
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The goal is to develop a clinically applicable tool to identify high‑risk patients before or early in therapy, enabling tailored treatment that preserves high cure rates while minimizing long‑term adverse effects.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE308nnn/GSE308257 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE308257 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1329313 ncbi.nlm.nih.gov/bioproject/PRJNA1329313 ↗
project · from NCBI GEO
- PubMed 41947942 pubmed.ncbi.nlm.nih.gov/41947942 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Non-coding RNA profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Cancer 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE308257 | 15 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[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:non-coding-rna-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| 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 |