GEO series
MIR4435-2HG as a novel predictive biomarker of chemotherapy response and death in pediatric B-cell ALL [RNA-seq]
GSE229046
Homo sapiens
Expression profiling by high throughput sequencing
26 samples
2024/05/22
GPL30173
Summary
B-cell acute lymphoid leukemias (B-ALL) are the most common neoplastic diseases in children. Survival rates in Hispanics are lower than in non-Hispanic children. It is, therefore, necessary to find predictive and prognostic biomarkers of relapse and death in this population. Our aim was to identify biomarkers of treatment response, which may also predict relapse and death, through identifying differentially expressed and methylated genes between patients who responded or did not respond to induction treatment. DNA and RNA samples were extracted from 28 bone marrow samples from Hispanic children newly diagnosed with B-ALL. mRNA was sequenced using the NextSeq2000 Illumina platform. Bisulfite-treated DNA was annealed to Illumina Infinium EPIC Methylation chips. Gene expression and differential methylation were compared between responders and non-responders at day 15 and at the end of induction chemotherapy. DAPK1, CNKSR3, MIR4435-HG2, CTHRC1, NPDC1, SLC45A3, ITGA6, and ASCL2 were overexpressed and hypomethylated in non-responders. The overexpression of MIR4435-2HG, DAPK1, ASCL2, SCL45A3, CNKSR3, and NPDC1 can predict non-response at day 15 and refractoriness. Additionally, higher expression of MIR4435-2HG increases the probability of non-response, death, and the risk of death. DAPK1, CNKSR3, and MIR4435-2HG are also overexpressed in relapse samples. Finally, MIR4435-2HG overexpression, together with positive minimal residual disease, is associated with poorer survival, and together with high expression of DAPK1 and ASCL2, it could improve the risk classification of patients with normal karyotype. In conclusion, MIR4435-2HG is a potential predictive and prognostic biomarker in children with B-ALL, and its detection at diagnosis could improve survival rates in our patients
Download
NCBI GEO page ↗
Paper (PMID 38745909) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE341139 A conserved HAND2-BMP5-SMAD1/5/9 axis drives hepatic stellate cell activation and extracellular matrix overproduction in multiple fibrotic etiologies 10 samples
- GSE274275 Effect of depletion of NSUN4 on gene expression of NCI-H226 cells [RNA-seq] 6 samples
Share this dataset
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.