PURPOSE: Epigenetic modifications may contribute to the development and progression of cancer. We investigated whether epigenetic changes involving multiple histones influence prognosis of non-small-cell lung cancer (NSCLC) patients. PATIENTS AND METHODS: We used immunohistochemistry to assess histone 3 lysine 4 dimethylation (H3K4diMe), and acetylation of histone 2A lysine 5 (H2AK5Ac), histone 2B lysine 12, histone 3 lysine 9 (H3K9Ac), and histone 4 lysine 8 in resected tumor samples of 138 NSCLC patients. Data were analyzed using a recursive partitioning analysis (RPA). RESULTS: The RPA classified the patients into seven distinct prognostic groups based on TNM stage (first node), histology, and histone modifications: H3K4diMe (< or 85% tumor cells), H3K9Ac (< or 68% tumor cells), and H2AK5Ac (< or 5% tumor cells). The seven groups were associated with significantly different disease-free (P < .0001) and overall survival (P < .0001). Interestingly, the four groups determined by stage I patients (below the first node) displayed dramatic differences in survival (median, 10 months in adenocarcinoma patients with H3K9Ac 68% v 147 months in nonadenocarcinoma patients with H3K4diMe 85%). A Cox model retained age and RPA groups as the sole independent factors significantly influencing overall survival. CONCLUSION: The prognostic influence of epigenetic changes involving multiple histones, in particular H2A and H3, is greater in early NSCLC, and evaluation of these changes may help in selecting early-stage NSCLC patients for adjuvant treatment. Our observations provide a rationale for the use of a combination of standard chemotherapy with drugs interacting with histone modifications, such as histone deacetylase inhibitors.
PURPOSE: Epigenetic modifications may contribute to the development and progression of cancer. We investigated whether epigenetic changes involving multiple histones influence prognosis of non-small-cell lung cancer (NSCLC) patients. PATIENTS AND METHODS: We used immunohistochemistry to assess histone 3 lysine 4 dimethylation (H3K4diMe), and acetylation of histone 2A lysine 5 (H2AK5Ac), histone 2B lysine 12, histone 3 lysine 9 (H3K9Ac), and histone 4 lysine 8 in resected tumor samples of 138 NSCLCpatients. Data were analyzed using a recursive partitioning analysis (RPA). RESULTS: The RPA classified the patients into seven distinct prognostic groups based on TNM stage (first node), histology, and histone modifications: H3K4diMe (< or 85% tumor cells), H3K9Ac (< or 68% tumor cells), and H2AK5Ac (< or 5% tumor cells). The seven groups were associated with significantly different disease-free (P < .0001) and overall survival (P < .0001). Interestingly, the four groups determined by stage I patients (below the first node) displayed dramatic differences in survival (median, 10 months in adenocarcinomapatients with H3K9Ac 68% v 147 months in nonadenocarcinoma patients with H3K4diMe 85%). A Cox model retained age and RPA groups as the sole independent factors significantly influencing overall survival. CONCLUSION: The prognostic influence of epigenetic changes involving multiple histones, in particular H2A and H3, is greater in early NSCLC, and evaluation of these changes may help in selecting early-stage NSCLCpatients for adjuvant treatment. Our observations provide a rationale for the use of a combination of standard chemotherapy with drugs interacting with histone modifications, such as histone deacetylase inhibitors.
Authors: Yogen Saunthararajah; Pierre Triozzi; Brian Rini; Arun Singh; Tomas Radivoyevitch; Mikkael Sekeres; Anjali Advani; Ramon Tiu; Frederic Reu; Matt Kalaycio; Ed Copelan; Eric Hsi; Alan Lichtin; Brian Bolwell Journal: Semin Oncol Date: 2012-02 Impact factor: 4.929
Authors: Nicolas L Young; Peter A DiMaggio; Mariana D Plazas-Mayorca; Richard C Baliban; Christodoulos A Floudas; Benjamin A Garcia Journal: Mol Cell Proteomics Date: 2009-08-04 Impact factor: 5.911
Authors: Hassan Ashktorab; Kevin Belgrave; Fatemeh Hosseinkhah; Hassan Brim; Mehdi Nouraie; Mikiko Takkikto; Steve Hewitt; Edward L Lee; R H Dashwood; Duane Smoot Journal: Dig Dis Sci Date: 2008-12-05 Impact factor: 3.199
Authors: Xuejiao Tian; Saiyang Zhang; Hong-Min Liu; Yan-Bing Zhang; Christopher A Blair; Dan Mercola; Paolo Sassone-Corsi; Xiaolin Zi Journal: Curr Cancer Drug Targets Date: 2013-06 Impact factor: 3.428