<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(5)</volume><submitter>Huang S</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Cutaneous T-cell lymphoma (CTCL) is highly heterogeneous, and its prognosis is closely related to the disease stage. The tumor microenvironment (TME) is an important component of tumor tissue, driving cancer cell growth, progression, and metastasis. However, the diagnostic value of TME in CTCL has not yet been studied in-depth. To date, no study has performed a comprehensive evaluation of the significance of the TME in CTCL.&lt;h4>Methods&lt;/h4>Using xCell methods based on bulk RNA sequencing data, we inferred immune cell fraction in the TME in 126 patients and assessed the prognostic importance of immune cells. Consensus clustering was performed to determine the TME subtypes and characterize the transcriptome of each subtype. Based on the TME subtypes, we established the dis</pubmed_abstract><journal>American journal of translational research</journal><pagination>3037-3051</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9185059</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Immune signatures of CD4 and CD68 predicts disease progression in cutaneous T cell lymphoma.</pubmed_title><pmcid>PMC9185059</pmcid><pubmed_authors>Huang S</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Xu F</pubmed_authors><pubmed_authors>Chen S</pubmed_authors><pubmed_authors>Liao M</pubmed_authors><pubmed_authors>Zhang P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Immune signatures of CD4 and CD68 predicts disease progression in cutaneous T cell lymphoma.</name><description>&lt;h4>Background&lt;/h4>Cutaneous T-cell lymphoma (CTCL) is highly heterogeneous, and its prognosis is closely related to the disease stage. The tumor microenvironment (TME) is an important component of tumor tissue, driving cancer cell growth, progression, and metastasis. However, the diagnostic value of TME in CTCL has not yet been studied in-depth. To date, no study has performed a comprehensive evaluation of the significance of the TME in CTCL.&lt;h4>Methods&lt;/h4>Using xCell methods based on bulk RNA sequencing data, we inferred immune cell fraction in the TME in 126 patients and assessed the prognostic importance of immune cells. Consensus clustering was performed to determine the TME subtypes and characterize the transcriptome of each subtype. Based on the TME subtypes, we established the dis</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-04T08:47:02.485Z</modification><creation>2025-04-04T08:47:02.485Z</creation></dates><accession>S-EPMC9185059</accession><cross_references><pubmed>35702080</pubmed></cross_references></HashMap>