title: Canine perivascular wall tumors: high prognostic impact of site, depth, and completeness of margins.
abstract: Canine perivascular wall tumors (cPWTs) arise from vascular mural cells and are included among soft tissue sarcomas (STSs). Most prognostic studies are performed on canine STSs as a general group and regardless of their specific histotype. The aim of this study was to identify pathological parameters and profiles with prognostic impact for cutaneous/subcutaneous cPWTs. Anatomical location, type of growth, surgical margins, and size and depth of the tumor were collected in 56 cPWTs. The association between each pair of variables was evaluated by χ(2) test. Multiple correspondence analysis (MCA) was performed to describe the multivariate association of variables and was followed by cluster analysis to identify specific pathological profiles. The prognostic impact of variables and profiles was assessed by Cox regression model. Size and depth were significantly associated with increased relapse probability. Cases with complete surgical margins did not recur. Other single variables were not significantly associated with relapse. Cluster analysis on MCA considering site, depth, margins, and type of growth identified 3 pathological profiles associated with PWT relapse and having a high prognostic impact. Major prognostic factors for cPWTs were tumor size, depth of growth, and pathological profiles.
authors.affiliation: Dipartimento di scienze veterinarie e sanità pubblica (DIVET), Università degli studi di Milano, Milano, Italy giancarlo.avallone@gmail.com.
authors.forename: G
authors.initials: G
authors.lastname: Avallone
authors.affiliation: Department of Clinical Sciences and Community Health, Section of Medical Statistics and Biometry, Università degli studi di Milano, Milano, Italy.
authors.forename: P
authors.initials: P
authors.lastname: Boracchi
authors.affiliation: Dipartimento di scienze veterinarie e sanità pubblica (DIVET), Università degli studi di Milano, Milano, Italy.
authors.forename: D
authors.initials: D
authors.lastname: Stefanello
authors.affiliation: Dipartimento di scienze veterinarie e sanità pubblica (DIVET), Università degli studi di Milano, Milano, Italy.
authors.forename: R
authors.initials: R
authors.lastname: Ferrari
authors.affiliation: Dipartimento di scienze veterinarie e sanità pubblica (DIVET), Università degli studi di Milano, Milano, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Rebughini
authors.affiliation: Dipartimento di scienze veterinarie e sanità pubblica (DIVET), Università degli studi di Milano, Milano, Italy.
authors.forename: P
authors.initials: P
authors.lastname: Roccabianca
mesh_terms: D000818:Animals; D016000:Cluster Analysis; D004283:Dog Diseases / Q000473:pathology* / Q000601:surgery*; D004285:Dogs; D007150:Immunohistochemistry / Q000662:veterinary; D015999:Multivariate Analysis; D054973:Perivascular Epithelioid Cell Neoplasms / Q000473:pathology / Q000601:surgery / Q000662:veterinary*; D011379:Prognosis; D016016:Proportional Hazards Models; D012008:Recurrence
keywords: dog; pathological profile; perivascular wall tumor; prognosis; soft tissue sarcoma