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J Comp Pathol. 2014 Nov;151(4):329-38. doi: 10.1016/j.jcpa.2014.07.004. Epub 2014 Aug 27.

Correlation of nodal mast cells with clinical outcome in dogs with mast cell tumour and a proposed classification system for the evaluation of node metastasis.

Author information

  • 1Flint Animal Cancer Center, Department of Clinical Sciences, Colorado State University, Fort Collins, CO, USA.
  • 2Flint Animal Cancer Center, Department of Clinical Sciences, Colorado State University, Fort Collins, CO, USA. Electronic address: dkamstock@kampathdi.com.

Abstract

Lymph node metastasis in dogs with mast cell tumour has been reported as a negative prognostic indicator; however, no standardized histological criteria exist to define metastatic disease. The primary aim of this study was to determine whether different histological patterns of node-associated mast cells correlate with clinical outcome in dogs with mast cell tumour. A secondary goal was to propose a criteria-defined classification system for histological evaluation of lymph node metastasis. The Colorado State University Diagnostic Medicine Center database was searched for cases of canine mast cell tumours with reported lymph node metastasis or evidence of node-associated mast cells. Additional cases were obtained from a clinical trial involving sentinel lymph node mapping and node extirpation in dogs with mast cell neoplasia. Forty-one cases were identified for inclusion in the study. Demographic data, treatment and clinical outcome were collected for each case. Lymph nodes were classified according to a novel classification system (HN0-HN3) based on the number of, distribution of, and architectural disruption by, nodal mast cells. The findings of this study indicate that characterization of nodal mast cells as proposed by this novel classification system correlates with, and is prognostic for, clinical outcome in dogs with mast cell tumours.

KEYWORDS:

dog; lymph node; mast cell tumour; metastasis

PMID:
25172053
DOI:
10.1016/j.jcpa.2014.07.004
[PubMed - indexed for MEDLINE]
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