Multiple drug resistance in osteogenic sarcoma: INT0133 from the Children's Oncology Group

Cindy L Schwartz1, Richard Gorlick, Lisa Teot

  • 1Hasbro Children's Hospital/Brown Medical School, Providence, RI 02903, USA. cschwartz1@lifespan.org

Abstract

Insights

P-glycoprotein (P-gp) expression, linked to drug resistance in osteosarcoma, did not predict patient outcomes in a prospective trial. This finding suggests P-gp levels may not be a reliable indicator for treatment decisions in osteosarcoma.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Multiple drug resistance, mediated by P-glycoprotein (P-gp), is implicated in osteosarcoma recurrence.
  • Understanding P-gp's role is crucial for improving treatment strategies in pediatric and young adult osteosarcoma.

Purpose of the Study:

  • To prospectively evaluate the prognostic significance of P-gp expression in osteosarcoma.
  • To determine if P-gp levels correlate with disease recurrence and survival in patients treated on the INT0133 trial.

Main Methods:

  • Analysis of tumor specimens from 685 patients with localized, high-grade osteosarcoma enrolled in the INT0133 trial.
  • Immunohistochemical assay for P-gp using monoclonal antibodies C-494 and JSB-1.
  • Evaluation of event-free survival (EFS), overall survival (OS), and percent necrosis (NEC) in relation to P-gp expression.

Main Results:

  • P-gp expression did not significantly increase the risk of adverse outcomes (EFS, OS, NEC).
  • EFS at 4 years was similar for P-gp-positive and P-gp-negative tumors (59% vs. 61% for C-494; 58% vs. 61% for JSB-1).
  • Overall survival at 4 years was also comparable between P-gp-positive and P-gp-negative groups (82% vs. 82% for C-494).

Conclusions:

  • Prospective analysis indicates that immunohistochemical detection of P-gp does not predict outcomes in osteosarcoma patients treated on INT0133.
  • The role of multiple drug resistance via P-gp as a prognostic marker in this patient cohort was not supported.
  • Further research may be needed to identify reliable biomarkers for osteosarcoma treatment response.