Literature DB >> 19147755

Genomic and molecular profiling predicts response to temozolomide in melanoma.

Christina K Augustine1, Jin Soo Yoo, Anil Potti, Yasunori Yoshimoto, Patricia A Zipfel, Henry S Friedman, Joseph R Nevins, Francis Ali-Osman, Douglas S Tyler.   

Abstract

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.

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Year:  2009        PMID: 19147755     DOI: 10.1158/1078-0432.CCR-08-1916

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  43 in total

1.  Design of clinical trials for biomarker research in oncology.

Authors:  Sumithra J Mandrekar; Daniel J Sargent
Journal:  Clin Investig (Lond)       Date:  2011-12

2.  A multicenter phase I dose escalation trial to evaluate safety and tolerability of intra-arterial temozolomide for patients with advanced extremity melanoma using normothermic isolated limb infusion.

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

3.  A guide for the analysis of long-term population growth in cancer.

Authors:  Andrew O Silva; Karina B Felipe; Emilly S Villodre; Patricia L C Lopez; Guido Lenz
Journal:  Tumour Biol       Date:  2016-07-31

4.  Statistical Contributions to Bioinformatics: Design, Modeling, Structure Learning, and Integration.

Authors:  Jeffrey S Morris; Veerabhadran Baladandayuthapani
Journal:  Stat Modelling       Date:  2017-06-15       Impact factor: 2.039

Review 5.  Oncolytic polio virotherapy of cancer.

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

6.  Mycobacterium bovis-BCG vaccination induces specific pulmonary transcriptome biosignatures in mice.

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

Review 7.  Mouse models of cancers: opportunities to address heterogeneity of human cancer and evaluate therapeutic strategies.

Authors:  Eran R Andrechek; Joseph R Nevins
Journal:  J Mol Med (Berl)       Date:  2010-06-24       Impact factor: 4.599

Review 8.  Progression of O⁶-methylguanine-DNA methyltransferase and temozolomide resistance in cancer research.

Authors:  Guan Jiang; Ai-Jun Jiang; Yong Xin; Lian-Tao Li; Qian Cheng; Jun-Nian Zheng
Journal:  Mol Biol Rep       Date:  2014-07-03       Impact factor: 2.316

9.  Independent validation of a model using cell line chemosensitivity to predict response to therapy.

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

10.  Molecular markers of tumor progression in melanoma.

Authors:  Joshua Rother; Dan Jones
Journal:  Curr Genomics       Date:  2009-06       Impact factor: 2.236

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