PURPOSE: Despite objective response rates of only approximately 13%, temozolomide remains one of the most effective single chemotherapy agents against metastatic melanoma, second only to dacarbazine, the current standard of care for systemic treatment of melanoma. The goal of this study was to identify molecular and/or genetic markers that correlate with, and could be used to predict, response to temozolomide-based treatment regimens and that reflect the intrinsic properties of a patient's tumor. EXPERIMENTAL DESIGN: Using a panel of 26 human melanoma-derived cell lines, we determined in vitro temozolomide sensitivity, O(6)-methylguanine-DNA methyltransferase (MGMT) activity, MGMT protein expression and promoter methylation status, and mismatch repair proficiency, as well as the expression profile of 38,000 genes using an oligonucleotide-based microarray platform. RESULTS: The results showed a broad spectrum of temozolomide sensitivity across the panel of cell lines, with IC(50) values ranging from 100 micromol/L to 1 mmol/L. There was a significant correlation between measured temozolomide sensitivity and a gene expression signature-derived prediction of temozolomide sensitivity (P < 0.005). Notably, MGMT alone showed a significant correlation with temozolomide sensitivity (MGMT activity, P < 0.0001; MGMT expression, P <or= 0.0001). The promoter methylation status of the MGMT gene, however, was not consistent with MGMT gene expression or temozolomide sensitivity. CONCLUSIONS: These results show that melanoma resistance to temozolomide is conferred predominantly by MGMT activity and suggest that MGMT expression could potentially be a useful tool for predicting the response of melanoma patients to temozolomide therapy.
PURPOSE: Despite objective response rates of only approximately 13%, temozolomide remains one of the most effective single chemotherapy agents against metastatic melanoma, second only to dacarbazine, the current standard of care for systemic treatment of melanoma. The goal of this study was to identify molecular and/or genetic markers that correlate with, and could be used to predict, response to temozolomide-based treatment regimens and that reflect the intrinsic properties of a patient's tumor. EXPERIMENTAL DESIGN: Using a panel of 26 humanmelanoma-derived cell lines, we determined in vitro temozolomide sensitivity, O(6)-methylguanine-DNA methyltransferase (MGMT) activity, MGMT protein expression and promoter methylation status, and mismatch repair proficiency, as well as the expression profile of 38,000 genes using an oligonucleotide-based microarray platform. RESULTS: The results showed a broad spectrum of temozolomide sensitivity across the panel of cell lines, with IC(50) values ranging from 100 micromol/L to 1 mmol/L. There was a significant correlation between measured temozolomide sensitivity and a gene expression signature-derived prediction of temozolomide sensitivity (P < 0.005). Notably, MGMT alone showed a significant correlation with temozolomide sensitivity (MGMT activity, P < 0.0001; MGMT expression, P <or= 0.0001). The promoter methylation status of the MGMT gene, however, was not consistent with MGMT gene expression or temozolomide sensitivity. CONCLUSIONS: These results show that melanoma resistance to temozolomide is conferred predominantly by MGMT activity and suggest that MGMT expression could potentially be a useful tool for predicting the response of melanomapatients to temozolomide therapy.
Authors: Georgia M Beasley; Paul Speicher; Christina K Augustine; Paul C Dolber; Bercedis L Peterson; Ketan Sharma; Paul J Mosca; Richard Royal; Merrick Ross; Jonathan S Zager; Douglas S Tyler Journal: Ann Surg Oncol Date: 2014-08-22 Impact factor: 5.344
Authors: Michael C Brown; Elena Y Dobrikova; Mikhail I Dobrikov; Ross W Walton; Sarah L Gemberling; Smita K Nair; Annick Desjardins; John H Sampson; Henry S Friedman; Allan H Friedman; Douglas S Tyler; Darell D Bigner; Matthias Gromeier Journal: Cancer Date: 2014-06-17 Impact factor: 6.860
Authors: Elihu Aranday Cortes; Daryan Kaveh; Javier Nunez-Garcia; Philip J Hogarth; H Martin Vordermeier Journal: PLoS One Date: 2010-06-28 Impact factor: 3.240
Authors: Wenting Wang; Keith A Baggerly; Steen Knudsen; Jon Askaa; Wiktor Mazin; Kevin R Coombes Journal: J Natl Cancer Inst Date: 2013-08-20 Impact factor: 13.506