Gene fusion-driven cutaneous mesenchymal neoplasms: An updated review emphasizing the emerging entities

Gerardo Cazzato1, Francesco Fortarezza2, Maged Daruish3

  • 1Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), Pathology Unit, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124, Bari, Italy. gerycazzato@hotmail.it.

Insights

Next-generation sequencing advances the classification of cutaneous mesenchymal neoplasms by identifying gene fusions. This molecular understanding aids diagnosis, clarifies tumor types, and guides targeted therapies for better patient outcomes.

Area of Science:

  • Dermatopathology
  • Molecular Pathology
  • Oncology

Background:

  • Next-generation sequencing (NGS) has revolutionized the classification of mesenchymal neoplasms.
  • Novel gene fusions are being identified in cutaneous tumors, redefining diagnostic criteria.
  • Many cutaneous mesenchymal tumors were previously misclassified or poorly understood.

Purpose of the Study:

  • To provide an updated overview of cutaneous mesenchymal neoplasms characterized by recurrent gene fusions.
  • To focus on recently described and emerging entities.
  • To highlight diagnostic challenges, differential diagnoses, and prognostic implications.

Main Methods:

  • Molecularly oriented classification of cutaneous mesenchymal neoplasms.
  • Examination of histopathologic, immunohistochemical, and genetic profiles.
  • Review of key entities including MITF pathway-activated tumors, small round blue cell sarcomas, and spindle cell neoplasms.

Main Results:

  • Identification of specific gene fusions (e.g., CRTC1::TRIM11, EWSR1::ETS, CIC::DUX4, EWSR1::SMAD3, ALK, NTRK).
  • Characterization of MITF-activated tumors, small round blue cell sarcomas, and fibroblastic/spindle cell neoplasms.
  • Recognition of keratin-positive giant cell tumor.

Conclusions:

  • Integration of molecular diagnostics is essential for accurate classification and management of cutaneous mesenchymal tumors.
  • Gene fusion signatures enhance diagnostic precision and identify potential targeted therapy options.
  • Continued research is needed to validate the biological behavior and therapeutic implications of newly recognized entities.