Histopathologic Features of Prognostic Significance in High-Grade Osteosarcoma

Author:

Chui Michael Herman1,Kandel Rita A.,Wong Marcus,Griffin Anthony M.,Bell Robert S.,Blackstein Martin E.,Wunder Jay S.,Dickson Brendan C.

Affiliation:

1. From the Departments of Pathology and Laboratory Medicine (Drs Chui, Kandel, and Dickson, and Mr Wong), Medicine (Dr Blackstein), and Orthopedic Surgery (Mr Griffin and Dr Wunder), Mount Sinai Hospital, Toronto, Ontario, Canada; and the Departments of Laboratory Medicine and Pathobiology (Drs Chui, Kandel, and Dickson), Orthopedic Surgery (Drs Bell and Wunder), and Medical Oncology (Dr Blackstein

Abstract

Context.— In osteosarcoma treated with neoadjuvant chemotherapy the extent of tumor necrosis on resection is considered an indicator of treatment response, and this has been shown to correlate with survival in most but not all studies. Objective.— To identify additional histologic variables of prognostic significance in high-grade osteosarcoma. Design.— Slides of pretreatment biopsy and primary postneoadjuvant chemotherapy resections from 165 patients with high-grade osteosarcoma were reviewed. Univariate (Kaplan-Meier) and multivariate (Cox regression) analyses were performed to identify clinical and histomorphologic attributes associated with overall survival. Results.— Univariate analyses confirmed the prognostic significance of metastatic status on presentation, primary tumor size, anatomic site, and histologic subtype. Additionally, the identification of lymphovascular invasion, 10% or more residual viable tumor, and 10 or more mitoses per 10 high-powered fields assessed in posttreatment resections were associated with poor survival, retaining significance in multivariate analyses. Based on results from multivariate analysis, we developed a prognostic index incorporating primary tumor size and site, and significant histologic features assessed on resection (ie, lymphovascular invasion status, mitotic rate, and extent of viable tumor). This scoring system segregates patients into 3 risk categories with significant differences in overall survival and retained significance in an independent validation set of 42 cases. Conclusions.— The integration of clinical and microscopic features improves prognostication of patients with osteosarcoma.

Publisher

Archives of Pathology and Laboratory Medicine

Subject

Medical Laboratory Technology,General Medicine,Pathology and Forensic Medicine

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