ArticleFrontiers in oncology2024
Single-cell RNA and T-cell receptor sequencing unveil mycosis fungoides heterogeneity and a possible gene signature.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Mycosis Fungoides Is a Proliferation of Multiple Mutational Subclones.The Journal of dermatology · 2026Review
- Chemokine Networks in Cutaneous T Cell Lymphoma: Tumor Microenvironment Remodeling and Therapeutic Targets.Current issues in molecular biology · 2026Review
- Decoding autoimmune disease with single-cell immune repertoire and transcriptome sequencing: mechanisms and therapeutic opportunities.Frontiers in immunology · 2026Review
- Epigenetic dysregulation in mycosis fungoides and sézary syndrome.Frontiers in cell and developmental biology · 2026Review
- Single-cell sequencing reveals the complexity of cutaneous T-cell lymphoma.Discover oncology · 2025Review
- An Update on Single-Cell RNA Sequencing in Illuminating Disease Mechanisms of Cutaneous T-Cell Lymphoma.Cancers · 2025Review
- The Progression of Mycosis Fungoides During Treatment with Mogamulizumab: A BIO-MUSE Case Study of the Tumor and Immune Response in Peripheral Blood and Tissue.Biomedicines · 2025Article
- Single-cell transcriptomics for immune profiling of cerebrospinal fluid in neurological diseases.Frontiers in immunology · 2025Review
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Mycosis fungoides (MF) is the most common subtype of cutaneous T-cell lymphoma (CTCL). Comprehensive analysis of MF cells Methods: To overcome this limitation, we performed combined single-cell RNA (scRNAseq) and T-cell receptor TCR sequencing (scTCRseq) of skin lesions of cutaneous MF lesions from 12 patients. A sufficient quantity of living T cells was obtained from 9 patients, but 2 had to be excluded due to unclear diagnoses (coexisting CLL or revision to a fixed toxic drug eruption). Results: From the remaining patients we established single-cell mRNA expression profiles and the corresponding TCR repertoire of 18,630 T cells. TCR clonality unequivocally identified 13,592 malignant T cells. Reactive T cells of all patients clustered together, while malignant cells of each patient formed a unique cluster expressing genes typical of naive/memory, such as Conclusions: Combined scRNAseq and scTCRseq not only allows unambiguous identification of MF cells, but also revealed marked heterogeneity between and within patients with unexpected functional phenotypes. While the correlation between mRNA and protein abundance was limited with respect to established MF markers, we were able to identify a single-cell gene expression signature that distinguishes malignant from reactive T cells.
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