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Clinical Cancer Research Vol. 10, 228-233, January 2004
© 2004 American Association for Cancer Research


Molecular Oncology, Markers, Clinical Correlates

Age-Dependent Prognostic Effects of Genetic Alterations in Glioblastoma

Tracy T. Batchelor12, Rebecca A. Betensky5, J. Matthew Esposito1, Loc-Duyen D. Pham2, Molly V. Dorfman12, Nicole Piscatelli2, Sarah Jhung1, David Rhee1 and David N. Louis134

1Molecular Neuro-Oncology Laboratory and Departments of2 Neurology,3 Neurosurgery, and4 Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, and5 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts

Purpose: Although the genetic alterations in glioblastoma have been well characterized, reports regarding their prognostic effects have been inconsistent.

Experimental Design: In this series of 140 consecutive cases of glioblastoma treated at a single center, we analyzed the frequency, age dependency and prognostic effects of TP53 mutation, CDKN2A/p16 deletion, EGFR amplification, as well as loss of chromosome 1p, chromosome 10q, and chromosome 19q. The complete set of genetic alterations was available on 60 of 140 patients.

Results: In this cohort of glioblastoma cases, TP53 mutation was significantly associated with patient age. The prognostic effects of TP53 mutation, EGFR amplification, CDKN2A/p16 alterations, and loss of chromosome 1p were dependent on the age of the patient.

Conclusions: This is the first observation that the prognostic effects of TP53, 1p, and CDKN2A/p16 alterations are dependent on patient age. These observations concerning the interactions of age and genetic changes in glioblastoma suggest that tumorigenic pathways to glioblastoma vary with the age of the patient and that future molecular marker studies should carefully evaluate the potential age-dependent prognostic effects of these biological variables. The inconsistent or negative prognostic effects of molecular markers reported in prior studies of glioblastoma may be because different effects at different ages may have resulted in a cancellation of an overall effect in the entire cohort.




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Copyright © 2004 by the American Association for Cancer Research.