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1.
Clin Cancer Res ; 14(14): 4500-10, 2008 Jul 15.
Article in English | MEDLINE | ID: mdl-18628465

ABSTRACT

PURPOSE: Histone deacetylase inhibitors can alter gene expression and mediate diverse antitumor activities. Herein, we report the safety and activity of the histone deacetylase inhibitor panobinostat (LBH589) in cutaneous T-cell lymphoma (CTCL) and identify genes commonly regulated by panobinostat. EXPERIMENTAL DESIGN: Panobinostat was administered orally to patients with CTCL on Monday, Wednesday, and Friday of each week on a 28-day cycle. A dose of 30 mg was considered excessively toxic, and subsequent patients were treated at the expanded maximum tolerated dose of 20 mg. Biopsies from six patients taken 0, 4, 8, and 24 h after administration were subjected to microarray gene expression profiling and real-time quantitative PCR of selected genes. RESULTS: Patients attained a complete response (n = 2), attained a partial response (n = 4), achieved stable disease with ongoing improvement (n = 1), and progressed on treatment (n = 2). Microarray data showed distinct gene expression response profiles over time following panobinostat treatment, with the majority of genes being repressed. Twenty-three genes were commonly regulated by panobinostat in all patients tested. CONCLUSIONS: Panobinostat is well tolerated and induces clinical responses in CTCL patients. Microarray analyses of tumor samples indicate that panobinostat induces rapid changes in gene expression, and surprisingly more genes are repressed than are activated. A unique set of genes that can mediate biological responses such as apoptosis, immune regulation, and angiogenesis were commonly regulated in response to panobinostat. These genes are potential molecular biomarkers for panobinostat activity and are strong candidates for the future assessment of their functional role(s) in mediating the antitumor responses of panobinostat.


Subject(s)
Antineoplastic Agents/therapeutic use , Gene Expression/drug effects , Histone Deacetylase Inhibitors , Hydroxamic Acids/therapeutic use , Lymphoma, T-Cell, Cutaneous/drug therapy , Skin Neoplasms/drug therapy , Acetylation/drug effects , Enzyme Inhibitors/therapeutic use , Female , Gene Expression Profiling , Histone Deacetylases/drug effects , Histones/drug effects , Histones/metabolism , Humans , Immunohistochemistry , Indoles , Lymphoma, T-Cell, Cutaneous/genetics , Male , Middle Aged , Oligonucleotide Array Sequence Analysis , Panobinostat , Reverse Transcriptase Polymerase Chain Reaction , Skin Neoplasms/genetics
2.
Cancer Cell ; 5(5): 489-500, 2004 May.
Article in English | MEDLINE | ID: mdl-15144956

ABSTRACT

The prognostication of head and neck squamous cell carcinoma (HNSCC) is largely based upon the tumor size and location and the presence of lymph node metastases. Here we show that gene expression patterns from 60 HNSCC samples assayed on cDNA microarrays allowed categorization of these tumors into four distinct subtypes. These subtypes showed statistically significant differences in recurrence-free survival and included a subtype with a possible EGFR-pathway signature, a mesenchymal-enriched subtype, a normal epithelium-like subtype, and a subtype with high levels of antioxidant enzymes. Supervised analyses to predict lymph node metastasis status were approximately 80% accurate when tumor subsite and pathological node status were considered simultaneously. This work represents an important step toward the identification of clinically significant biomarkers for HNSCC.


Subject(s)
Biomarkers, Tumor/analysis , Carcinoma, Squamous Cell/classification , Carcinoma, Squamous Cell/genetics , Gene Expression Regulation, Neoplastic , Head and Neck Neoplasms/classification , Head and Neck Neoplasms/genetics , Adult , Aged , Carcinoma, Squamous Cell/metabolism , Female , Gene Expression Profiling , Head and Neck Neoplasms/metabolism , Humans , Lymphatic Metastasis , Male , Middle Aged , Neoplasm Recurrence, Local/genetics , Oligonucleotide Array Sequence Analysis , Predictive Value of Tests , Prognosis , Signal Transduction , Survival Rate
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