Evidence map›Paper›PMID 39435287›Full record

ArticleFrontiers in oncology2024

RUNX2 as a novel biomarker for early identification of patients progressing to advanced-stage mycosis fungoides.

Maria Danielsen, Thomas Emmanuel, Morten Muhlig Nielsen, Lise Maria Lindahl, Maria Gluud, Niels Ødum, Line Raaby, Torben Steiniche, Lars Iversen, Rikke Bech and 2 more

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Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Maria DanielsenDepartment of Dermatology, Aarhus University Hospital, Aarhus, Denmark.
Thomas EmmanuelDepartment of Dermatology, Aarhus University Hospital, Aarhus, Denmark.
Morten Muhlig NielsenDepartment of Molecular Medicine (MOMA), Aarhus University Hospital, Aarhus, Denmark.
Lise Maria LindahlDepartment of Dermatology, Aarhus University Hospital, Aarhus, Denmark.
Maria GluudSkin Immunology Research Center, Department of Immunology & Microbiology, University of Copenhagen, Copenhagen, Denmark.
Niels ØdumSkin Immunology Research Center, Department of Immunology & Microbiology, University of Copenhagen, Copenhagen, Denmark.
Line RaabyDepartment of Molecular Medicine (MOMA), Aarhus University Hospital, Aarhus, Denmark.
Torben SteinicheDepartment of Pathology, Aarhus University Hospital, Aarhus, Denmark.
Lars IversenDepartment of Dermatology, Aarhus University Hospital, Aarhus, Denmark.
Rikke BechDepartment of Dermatology, Aarhus University Hospital, Aarhus, Denmark.
Terkild Brink BuusSkin Immunology Research Center, Department of Immunology & Microbiology, University of Copenhagen, Copenhagen, Denmark.
Claus JohansenDepartment of Dermatology, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The majority of patients with mycosis fungoides (MF) have an indolent disease course, but a substantial fraction (20-30%) of patients progress to advanced stages - usually with a grave prognosis. Early differentiation between indolent and aggressive types of MF is important for the choice of treatment regimen and monitoring of the individual patient. Good biomarkers are therefore desired. Methods: Here, we used spatial transcriptomics on skin samples at time-of-diagnosis to enable prediction of patients who later progressed to advanced stages of MF. Formalin-fixed, paraffin-embedded skin biopsies at time of diagnosis from six patients with MF who progressed to advanced stages of disease within 4 months to 12 years after diagnosis, and nine patients who remained in early-stage disease over 9 to 27 years were analyzed using the GeoMx Digital Spatial Profiler to capture spatially resolved high-plex RNA gene expression data. Five different regions of interest (the epidermis, the basal layer of epidermis, CD4+ T-cells and neighboring cells, and Pautrier's microabscesses) were profiled for further assessment. Results and discussion: Interestingly, RUNX2, SHMT2, and MCM7 were upregulated in the enriched population of malignant T-cells in Pautrier's microabscesses in patients who later developed advanced stages of disease. Expression of RUNX2, SHMT2 and MCM7 in malignant T-cells was confirmed in a subset of patients in MF skin using scRNA-seq datasets across multiple studies and correlating with stage of disease. Taken together, we provide first evidence that RUNX2 has potential as a biomarker to identify MF patients progressing to advanced stage disease. As RUNX2 has not previously been linked to MF, our data also shows the analytical strength of combining spatial transcriptomics with scRNA-seq analysis.

Indexed as

biomarkersdigital spatial profilingmycosis fungoidesRNA profilingspatial transcriptomics

Identifiers

PMID39435287
PMCPMC11491341

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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.