DNA sequence copy number increase at 8q: a potential new prognostic marker in high-grade osteosarcoma

Int J Cancer. 1999 Apr 20;84(2):114-21. doi: 10.1002/(sici)1097-0215(19990420)84:2<114::aid-ijc4>3.0.co;2-q.

Abstract

Histologic response to chemotherapy is currently the best prognostic parameter in high-grade osteosarcoma but it can be evaluated only after several weeks of chemotherapy. Thus a prognostic parameter known at the time of diagnosis would be of great clinical benefit. In the present study, we present the results of 31 primary high-grade osteosarcomas analyzed by comparative genomic hybridization (CGH). CGH allows for genome-wide screening of a tumor by detecting alterations in DNA sequence copy number. The most frequent aberrations were copy number increases at 1q21 in 58% of the tumors and at 8q (8q21.3-q22 in 52% and 8cen-q13 in 45%), followed by copy number increases at 14q24-qter (35%) and Xp11.2-p21 (35%). The most common losses were detected at 6q16 (32%) and 6q21-q22 (32%). Patients with a copy number increase at 8q21.3-q22 and/or at 8cen-q13 had a statistically significant poor distant disease-free survival (p = 0.003) and showed a trend toward short overall survival (p = 0.04). Patients with a copy number increase at 1q21 showed a trend toward short overall survival (p = 0.04). Thus, specific genetic aberrations detected at the time of the diagnosis could be used in prognostic evaluation of high-grade osteosarcoma.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Analysis of Variance
  • Bone Neoplasms / drug therapy
  • Bone Neoplasms / genetics*
  • Bone Neoplasms / pathology
  • Chromosome Aberrations / genetics*
  • Chromosome Deletion
  • Chromosomes, Human, Pair 8 / genetics*
  • Female
  • Gene Amplification
  • Genetic Markers / genetics
  • Humans
  • Male
  • Middle Aged
  • Nucleic Acid Hybridization / methods
  • Osteosarcoma / drug therapy
  • Osteosarcoma / genetics*
  • Osteosarcoma / pathology
  • Prognosis

Substances

  • Genetic Markers