Identification of molecular predictors of response in a study of tipifarnib treatment in relapsed and refractory acute myelogenous leukemia

Raponi M, Harousseau JL, Lancet JE, Lowenberg B, Stone R, Zhang Y, Rackoff W, Wang Y, Atkins D
Source: Clin Cancer Res
Publication Date: (2007)
Issue: 13(7): 2254-60
Research Area:
Cancer Research/Cell Biology
Immunotherapy / Hematology
Cells used in publication:
Species: human
Tissue Origin: blood
Species: human
Tissue Origin: blood
Nucleofector® I/II/2b
PURPOSE: Microarray technology was used to identify gene expression markers that predict response to the orally available farnesyltransferase inhibitor tipifarnib (Zarnestra, R115777) in acute myelogenous leukemia (AML). EXPERIMENTAL DESIGN: Gene expression profiles from 58 bone marrow samples from a cohort of relapsed and refractory AML patients were analyzed on the Affymetrix U133A gene chip that contains approximately 22,000 genes. RESULTS: Supervised statistical analysis identified eight gene expression markers that could predict patient response to tipifarnib. The most robust gene was the lymphoid blast crisis oncogene (AKAP13), which predicted response with an overall accuracy of 63%. This gene provided a negative predictive value of 93% and a positive predictive value of 31% (increased from 18%). AKAP13 was overexpressed in patients who were resistant to tipifarnib. When overexpressed in the HL60 and THP1 cell lines, AKAP13 increased the resistance to tipifarnib by approximately 5- to 7-fold. CONCLUSION: Diagnostic gene expression signatures may be used to select a group of AML patients that might respond to tipifarnib.