Volume 66 (2016) Issue: 2016 No#4

Reclassification of 21 presumptive canine peripheral nerve sheath tumors (PNST) using a literature-based immunohistochemical panel

Author(s): Sirri Rubina, Sabattini Silvia, Bettini Giuliano, Mandrioli Luciana

Keywords:canine; EGFR; immunohistochemistry; PNST; soft tissue sarcomas

The aim of this study was to re-evaluate archived samples of canine soft tissue sarcomas (STSs) morphologically consistent with peripheral nerve sheath tumors (PNSTs). In each case, an immunohistochemical panel was applied, including α-SMA, calponin, desmin, S-100, GFAP, NSE and Olig2, in order to assess whether the phenotype was consistent with the tumor histological appearance. Additionally, the expression of EGFR, a marker with potential therapeutic implications in malignant PNSTs, was evaluated. Twenty-one tumors were included. Fourteen cases (66.7%) were positive for one or more muscular markers and were reclassified as perivascular tumors (PWTs). A positive labeling for S-100 was observed in one tumor (4.8%), thus classified as PNST. The other 6 tumors were generically classified as poorly differentiated STSs. No unique histopathological feature was observed within the three groups. NSE and Olig2 labeling was aspecific and not useful for diagnostic purposes. GFAP was negative in all cases. Six cases (28.6%) were positive for EGFR, including the PNST. Even after the application of a wide immunohistochemical panel, distinguishing between PNSTs and PWTs remains a challenge. Finally, a subgroup of cases cannot be classified based on light microscopy alone.


My account

Search


Info

ISSN: 0567-8315

eISSN: 1820-7448

Journal Impact Factor 2023: 0.7

5-Year Impact Factor: 0.8

Indexing: Thomson Reuters/Science Citation Index Expanded, Zoological Record, Biosis Previews, Web of Science, Journal Citation Reports, Google Scholar, SCIndeks, KoBSON, Genamics, Journal Seek, Research Gate, DOAJ, Journal Rate, SJR – SCImago Journal & Country Rank, WorldCat, Academic Journals Database, Medical Journals Links, MedSci, Pubget

Contribute