ArticleCureus2024
An Examination of the Diagnostic Utility of Ubiquitin-Specific Peptidase 6 (USP6) Rearrangement in Differentiating Nodular Fasciitis From Inflammatory Myofibroblastic Tumor: A Case Report.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed.
- Mandibular Inflammatory Myofibroblastic Tumors: A Literature Review with a New Case Presentation.Current oncology (Toronto, Ont.) · 2026Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nodular fasciitis (NF) is a benign yet diagnostically challenging mesenchymal myofibroblastic proliferation that often mimics the histological features of inflammatory myofibroblastic tumors (IMTs) and soft tissue sarcomas. The overlap in histopathological appearance, compounded by the variability in immunohistochemical (IHC) staining, frequently leads to diagnostic uncertainty. In this report, we present a case of a rapidly expanding lesion on the left medial mandible, ultimately diagnosed as NF. Molecular analysis through fluorescence in situ hybridization (FISH) identified a ubiquitin-specific peptidase 6 (USP6; 17p13.2) gene rearrangement, a distinctive marker of NF, which played a critical role in confirming the diagnosis. IHC analysis, including negative staining for cytokeratin and ALK, further helped differentiate this benign entity from other IMTs and malignancies, highlighting the importance of combining molecular diagnostics with traditional histopathological techniques to ensure accurate classification and avoid misdiagnosis.
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