<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE309nnn/GSE309807/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309807</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>A single-cell atlas identifies oncogenic transcriptional programs and immune escape mechanisms in hematogolical malignancies [scRNA-seq]</name><description>Primary cutaneous T-cell lymphomas (CTCL) are a heterogeneous group of extranodal non-Hodgkin lymphomas. Outcomes for patients with advanced-stage disease are suboptimal, as few complete and durable responses are achieved with currently available therapeutic agents. However, improved understanding of oncogenic transcriptional programs in malignant T cells and their engagement with the tumor microenvironment (TME) may unveil therapeutic vulnerabilities. Therefore, we have compiled the largest available scRNA-seq CTCL atlas that includes >2 million skin and blood cells from 116 patients. We identified recurrent transcriptional programs in malignant T cells, a subset of which are associated with GATA-3 dependent transcriptional programs, especially in the setting of large cell transformation and advanced-stage disease. Many of the transcriptional programs identified are therapeutically targetable with clinically available agents, including HDAC, XPO1, JAK/CSF1R, and IKZF1/IKZF3 antagonists. The CTCL TME is dominated by infiltrating and exhausted effector and cytotoxic T cells that are restrained by a robust infiltrate of regulatory T cells (8%), transcriptionally polarized monocytes/macrophages (7%), and cancer-associated fibroblasts. Collectively, these findings have significant implications for the rationale design of combinatorial strategies targeting immune checkpoints, including PD-1. We have identified transcriptional programs, driven by oncogenic transcription factors, and constituents of the TME as therapeutic vulnerabilities in CTCL, and hope that the CTCL atlas constructed will provide a valuable resource for future studies exploiting these therapeutic vulnerabilities.</description><dates><publication>2026/06/10</publication></dates><accession>GSE309807</accession><cross_references><GSM>GSM9282492</GSM><GSM>GSM9282491</GSM><GPL>34284</GPL><GSE>309807</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>