← BioTransfer GEO Dataset Finder
GEO series

Bone marrow immunosuppressive states associate with survival after guadecitabine and atezolizumab therapy in HMA-R/R MDS

GSE326589 Homo sapiens Expression profiling by high throughput sequencing; Other 58 samples 2026/05/18 GPL24676
Summary
Approximately half of patients with myelodysplastic syndromes (MDS) relapse or are refractory to hypomethylating agents (HMAs) and experience poor clinical outcomes. We previously reported improved survival in a Phase I/II clinical trial combining the HMA guadecitabine with PD-L1 blockade (atezolizumab) in HMA-relapsed or -refractory MDS, yet the biological features associated with durable responses to this combined epigenetic and immunotherapy approach remain unclear. Here, we performed integrated bulk and single-cell transcriptomic profiling of bone marrow samples from patients treated on this trial to identify molecular and cellular features associated with survival. Long-term survival was associated with the presence of immunosuppressive myeloid cells and primed dendritic cells at baseline, together with therapy-induced immune reinvigoration characterized by interferon pathway activation and expansion of effector lymphocytes. In contrast, short-term survival was associated with persistent senescence-associated inflammatory programs in CD34⁺ bone marrow cells and elevated expression of immunosuppressive immune checkpoint molecules. These findings suggest that chronic inflammatory and senescent microenvironmental states constrain effective immune activation despite combined epigenetic and immune checkpoint therapy. Here, we reveal distinct bone marrow microenvironments associated with patient survival after combined epigenetic and immune checkpoint therapy and suggest candidate biomarkers to guide patient stratification in high-risk MDS.
Download
NCBI GEO page ↗ Paper (PMID 42305767) ↗ {# 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

Search all human RNA-seq datasets in GEO →

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.