ArticleJournal of the European Academy of Dermatology and Venereology : JEADV2026
Mapping malignant T-cell states and immune circuits in Sézary syndrome by single-cell analysis.
Article in Journal of the European Academy of Dermatology and Venereology : JEADV, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Pathway-Centric Comparative Molecular Profiling of Sézary Syndrome and Primary Cutaneous CD8Cancers · 2026Article
- A Conversational Artificial Intelligence Framework for Comparative Pathway-Level Profiling of Sézary Syndrome and Primary Cutaneous CD8medRxiv : the preprint server for health sciences · 2026Article
- Conversational Artificial Intelligence-Enabled Molecular Characterization of Sézary Syndrome Reveals Distinct Pathway-Level Alterations Compared with Non-Sézary Cutaneous T-Cell Lymphoma.medRxiv : the preprint server for health sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundSézary syndrome (SS) and leukaemic mycosis fungoides (MF) are aggressive cutaneous T-cell lymphomas (CTCLs) with poor prognosis and limited treatment options. Single-cell RNA sequencing (scRNA-seq) offers an opportunity to dissect malignant heterogeneity and immune dysregulation yet has been underutilized in leukaemic CTCL.
objectivesTo define transcriptional heterogeneity within malignant T cells, identify immunomodulatory signals shaping the tumour microenvironment and uncover actionable vulnerabilities in SS and leukaemic MF.
methodsWe analysed 144,321 peripheral blood mononuclear cells from 22 patients (SS or leukaemic MF) and 7 healthy controls using scRNA-seq, with CITE-seq and TCR-seq in subsets. Public and prospectively collected datasets were integrated after rigorous per-sample quality control, batch correction and malignancy assignment. Differential gene expression and cell-cell communication analyses were performed using complementary modelling approaches with correction for sparsity and multiple testing.
resultsThree transcriptionally distinct malignant T-cell (MTC) subtypes were identified: central memory-like (MTC CM), effector/effector memory-like (MTC E/EM) and regulatory-like (MTC Reg), each with unique expression programmes and putative vulnerabilities. MTC CM, the dominant population, expressed central memory markers, Th2/Th22 skewing and a broader KIR repertoire (KIR3DL2, KIR3DL1, KIR2DL3) than previously reported. MTC E/EM and MTC Reg were enriched for NR4A1 and ITGB1, respectively. Cell-cell communication analysis revealed KIR-MHC-I signalling and suggested that MTC-derived TNF and IL-10 may drive JAK/STAT pathway activity in non-T cells, indicating an underrecognized dimension of tumour-induced immune reprogramming.
conclusionsThis is one of the most comprehensive single-cell studies of leukaemic CTCL to date. We uncover new malignant T-cell states, broaden the known repertoire of KIR expression, and propose mechanisms of immune evasion that may contribute to treatment resistance. These findings lay the groundwork for subtype-specific and microenvironment-informed therapeutic strategies in Sézary syndrome, with potential implications for guiding targeted therapy selection but require validation in larger, independent cohorts.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.