Evidence map›Paper›PMID 41466029›Full record

ArticleJournal of cutaneous pathology2026

Acral Mesenchymal Spindle Cell Neoplasm With a Novel HMGA2::NCOA2 Fusion.

Grace Z Armstrong, Carina A Dehner, Eitan Halper-Stromberg, Esther Baranov, Anna C Eden, Rachel P Kowal

Abstract readCase Reports
In one paragraph

Article in Journal of cutaneous pathology, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Grace Z ArmstrongDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0009-0005-7904-6662
Carina A DehnerDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0001-5214-4813
Eitan Halper-StrombergDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Esther BaranovDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Anna C EdenDepartment of Dermatology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Rachel P KowalDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0009-0008-2632-1060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular profiling has revolutionized the field of soft tissue pathology, enhancing diagnostic precision and treatment strategies. The integration of molecular analysis and immunohistochemistry has been crucial for classifying diagnostically challenging acral mesenchymal neoplasms. Herein, we report the first documented case of an acral mesenchymal spindle cell neoplasm harboring an HMGA2::NCOA2 fusion. The neoplasm presented as a slow-growing verrucous papule on the right thumb of an 18-year-old female. Histological examination revealed spindled cells of varying cellularity with intervening sclerotic collagen and dilated vasculature. The cells had patchy S100 and focal GLUT-1 reactivity but were negative for CD34, EMA, Sox-10, Pan-TRK, p63, CKAE1/3, MUC4, ALK, Factor 13A, actin, desmin, and ERG. Given the unusual morphology and non-diagnostic immunohistochemical profile, the specimen was sent for additional molecular profiling. Next-generation sequencing revealed a novel in-frame HMGA2::NCOA2 fusion. The tumor was likely benign, with 4 mitoses per 10 high-powered fields (HPF), but was excised due to the unpredictable behavior of the fusion. As the first known case to date with this fusion, these findings contribute to the emerging research on genomic testing in acral soft tissue tumors. Additional cases and longer clinical follow-up are needed to better characterize the novel HMGA2::NCOA2 fusion.

Indexed as

HMGA2 ProteinNuclear Receptor Coactivator 2Oncogene Proteins, FusionSkin NeoplasmsSoft Tissue NeoplasmsAdolescentFemaleHumansHMGA2 ProteinHMGA2 protein, humanNCOA2 protein, humanNuclear Receptor Coactivator 2Oncogene Proteins, FusionHMGA2mesenchymal tumorNCOA2

Identifiers

PMID41466029
PMCPMC13040434

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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 OpenQuestion graph.