PURPOSE: Tumor response of rectal cancer to preoperative chemoradiotherapy (CRT) varies considerably. In experimental tumor models and clinical radiotherapy, activity of particular subsets of kinase signaling pathways seems to predict radiation response. This study aimed to determine whether tumor kinase activity profiles might predict tumor response to preoperative CRT in locally advanced rectal cancer (LARC). METHODS AND MATERIALS: Sixty-seven LARC patients were treated with a CRT regimen consisting of radiotherapy, fluorouracil, and, where possible, oxaliplatin. Pretreatment tumor biopsy specimens were analyzed using microarrays with kinase substrates, and the resulting substrate phosphorylation patterns were correlated with tumor response to preoperative treatment as assessed by histomorphologic tumor regression grade (TRG). A predictive model for TRG scores from phosphosubstrate signatures was obtained by partial-least-squares discriminant analysis. Prediction performance was evaluated by leave-one-out cross-validation and use of an independent test set. RESULTS: In the patient population, 73% and 15% were scored as good responders (TRG 1-2) or intermediate responders (TRG 3), whereas 12% were assessed as poor responders (TRG 4-5). In a subset of 7 poor responders and 12 good responders, treatment outcome was correctly predicted for 95%. Application of the prediction model on the remaining patient samples resulted in correct prediction for 85%. Phosphosubstrate signatures generated by poor-responding tumors indicated high kinase activity, which was inhibited by the kinase inhibitor sunitinib, and several discriminating phosphosubstrates represented proteins derived from signaling pathways implicated in radioresistance. CONCLUSIONS: Multiplex kinase activity profiling may identify functional biomarkers predictive of tumor response to preoperative CRT in LARC. 2010 Elsevier Inc. All rights reserved.
PURPOSE:Tumor response of rectal cancer to preoperative chemoradiotherapy (CRT) varies considerably. In experimental tumor models and clinical radiotherapy, activity of particular subsets of kinase signaling pathways seems to predict radiation response. This study aimed to determine whether tumor kinase activity profiles might predict tumor response to preoperative CRT in locally advanced rectal cancer (LARC). METHODS AND MATERIALS: Sixty-seven LARC patients were treated with a CRT regimen consisting of radiotherapy, fluorouracil, and, where possible, oxaliplatin. Pretreatment tumor biopsy specimens were analyzed using microarrays with kinase substrates, and the resulting substrate phosphorylation patterns were correlated with tumor response to preoperative treatment as assessed by histomorphologic tumor regression grade (TRG). A predictive model for TRG scores from phosphosubstrate signatures was obtained by partial-least-squares discriminant analysis. Prediction performance was evaluated by leave-one-out cross-validation and use of an independent test set. RESULTS: In the patient population, 73% and 15% were scored as good responders (TRG 1-2) or intermediate responders (TRG 3), whereas 12% were assessed as poor responders (TRG 4-5). In a subset of 7 poor responders and 12 good responders, treatment outcome was correctly predicted for 95%. Application of the prediction model on the remaining patient samples resulted in correct prediction for 85%. Phosphosubstrate signatures generated by poor-responding tumors indicated high kinase activity, which was inhibited by the kinase inhibitor sunitinib, and several discriminating phosphosubstrates represented proteins derived from signaling pathways implicated in radioresistance. CONCLUSIONS: Multiplex kinase activity profiling may identify functional biomarkers predictive of tumor response to preoperative CRT in LARC. 2010 Elsevier Inc. All rights reserved.
Authors: Kathrine Røe; Lars Tg Mikalsen; Albert J van der Kogel; Johan Bussink; Heidi Lyng; Anne H Ree; Laure Marignol; Dag R Olsen Journal: Radiat Oncol Date: 2012-05-23 Impact factor: 3.481
Authors: Cristina Caramés; Ion Cristóbal; Víctor Moreno; Laura del Puerto; Irene Moreno; María Rodriguez; Juan P Marín; Andrea V Correa; Roberto Hernández; Víctor Zenzola; Tatiana Hernández; Ana León; José I Martín; Paloma Sánchez-Fayos; Damián García-Olmo; Federico Rojo; Ajay Goel; María J Fernandez-Aceñero; Jesús García-Foncillas Journal: Int J Colorectal Dis Date: 2015-05-08 Impact factor: 2.571