Prognostic impact of Ki-67 in canine splenic hemangiosarcoma: A preliminary study.

Ki-67 dogs hemangiosarcoma histopathology immunohistochemistry prognosis spleen

Journal

Veterinary pathology
ISSN: 1544-2217
Titre abrégé: Vet Pathol
Pays: United States
ID NLM: 0312020

Informations de publication

Date de publication:
12 Jan 2024
Historique:
medline: 12 1 2024
pubmed: 12 1 2024
entrez: 12 1 2024
Statut: aheadofprint

Résumé

Canine splenic hemangiosarcoma has a high metastatic rate and short survival time. Currently, the main prognostic parameters are tumor stage and therapy, while data on histologic parameters, such as grade and Ki-67 expression, are scarce. The aims of this study were to compare two methods of assessment of Ki-67, verify their prognostic impact, and define a threshold value based on survival. Thirty-one cases of histologically diagnosed canine splenic hemangiosarcoma, which were treated with splenectomy and had full staging and follow-up information, were collected. Three were stage I, 17 stage II, and 11 stage III. The mean mitotic count (MC) was 23.9 (standard deviation [SD]: 22.1) and the median was 15 (range, 1-93). Immunohistochemistry for Ki-67 was performed, the Ki-67 labeling index (Ki-67LI) was assessed as a percentage of positive neoplastic nuclei per ≥500 cell, and the Ki-67 count (KI-67C) was defined as the average number of positive nuclei using a 1 cm

Identifiants

pubmed: 38214328
doi: 10.1177/03009858231225507
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3009858231225507

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Elena Brigandì (E)

University of Bologna, Bologna, Italy.

Paola Valenti (P)

Clinica Veterinaria Malpensa, Samarate, Italy.

Barbara Bacci (B)

University of Bologna, Bologna, Italy.

Barbara Brunetti (B)

University of Bologna, Bologna, Italy.

Giancarlo Avallone (G)

University of Bologna, Bologna, Italy.

Classifications MeSH