GEO series
Chronic Lymphocytic Leukemia in African Ancestry Population is Characterized by Increased Genomic Instability
GSE246521
Homo sapiens
Expression profiling by high throughput sequencing
350 samples
2025/02/12
GPL20301
Summary
Despite the considerable effort to characterize the genomic landscape of chronic lymphocytic leukemia (CLL), published data have been almost exclusively derived from patients of European Ancestry (EA), with significant underrepresentation of minorities, including patients of African Ancestry (AA). Furthermore, although over a decade has passed since the initial observations of AA CLL patients suggesting an increased frequency of adverse prognostic factors and inferior clinical outcomes when compared to EA CLL, the differences between populations remain poorly understood. To begin to address this gap, we explored whether ancestry differences exist in the genetic and transcriptomic features of 157 AA and 440 EA individuals diagnosed with CLL. In our study focused on 59 putative driver genes, we found an increased frequency of mutations in driver genes in AA CLL, including mutations in genes of the DNA damage repair (DDR) pathway. Telomere erosion was also increased in AA CLL, amplifying the notion of increased genomic instability in AA CLL. Furthermore, we found enrichment of the Tumor Necrosis Factor-alpha (TNFα) Signaling via NF-κB pathway in AA CLL compared to EA CLL, suggesting that tumor promoting inflammation plays an important role in AA CLL. In summary, we found higher frequency of mutations in genes from the DDR pathway along with shorter telomers and higher transcription of NFkB pathway genes. These results suggest that genomic instability is more prevalent in AA CLL than EA CLL. Future studies are needed to show that it may be a driver of poor prognosis among AA CLL patients.
Download
NCBI GEO page ↗
Paper (PMID 39910036) ↗
{# 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
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 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.