PURPOSE: In a previous cohort study, we proposed that responsiveness of metastatic colorectal cancer (mCRC) to anti-epidermal growth factor receptor (EGFR) monoclonal antibodies has a genetic basis, being associated with increased EGFR gene copy number (GCN) as measured by fluorescence in situ hybridization (FISH) in individual tumors. The present study was aimed at assessing the predictive role of EGFR GCN, in terms of clinical outcome, in patients treated withpanitumumab. PATIENTS AND METHODS: Patients with mCRC refractory to standard therapies were a subset of patients from a phase III trial of panitumumab plus best supportive care (BSC; n = 58) versus BSC alone (n = 34) who were selected on the basis of availability of tumor samples adequate for FISH. RESULTS: In patients treated withpanitumumab, a mean EGFR GCN of less than 2.5/nucleus or less than 40% of tumor cells displaying chromosome 7 polysomy within the tumor predicted for shorter progression-free survival (PFS; P = .039 and P = .029, respectively) and overall survival (P = .015 and P = .014, respectively). None of the treated patients with mean EGFR GCN of less than 2.47/nucleus or less than 43% of tumor cells displaying chromosome 7 polysomy obtained objective response compared with six of 20 and six of 19 patients with values greater than these cutoff limits, respectively (P = .0009 and P = .0007, respectively). Evaluation of BSC-treated patients showed no correlation between EGFR GCN or chromosome 7 polysomy status and PFS. CONCLUSION: In a larger and more homogeneous series than in previous studies, present exploratory data suggest that mCRC patients with tumors distinguishable by FISH analysis of EGFR as homogenously disomic or with low chromosome 7 polysomy have a reduced likelihood of response to panitumumab.
RCT Entities:
PURPOSE: In a previous cohort study, we proposed that responsiveness of metastatic colorectal cancer (mCRC) to anti-epidermal growth factor receptor (EGFR) monoclonal antibodies has a genetic basis, being associated with increased EGFR gene copy number (GCN) as measured by fluorescence in situ hybridization (FISH) in individual tumors. The present study was aimed at assessing the predictive role of EGFR GCN, in terms of clinical outcome, in patients treated with panitumumab. PATIENTS AND METHODS: Patients with mCRC refractory to standard therapies were a subset of patients from a phase III trial of panitumumab plus best supportive care (BSC; n = 58) versus BSC alone (n = 34) who were selected on the basis of availability of tumor samples adequate for FISH. RESULTS: In patients treated with panitumumab, a mean EGFR GCN of less than 2.5/nucleus or less than 40% of tumor cells displaying chromosome 7 polysomy within the tumor predicted for shorter progression-free survival (PFS; P = .039 and P = .029, respectively) and overall survival (P = .015 and P = .014, respectively). None of the treated patients with mean EGFR GCN of less than 2.47/nucleus or less than 43% of tumor cells displaying chromosome 7 polysomy obtained objective response compared with six of 20 and six of 19 patients with values greater than these cutoff limits, respectively (P = .0009 and P = .0007, respectively). Evaluation of BSC-treated patients showed no correlation between EGFR GCN or chromosome 7 polysomy status and PFS. CONCLUSION: In a larger and more homogeneous series than in previous studies, present exploratory data suggest that mCRC patients with tumors distinguishable by FISH analysis of EGFR as homogenously disomic or with low chromosome 7 polysomy have a reduced likelihood of response to panitumumab.
Authors: David Liska; Chin-Tung Chen; Thomas Bachleitner-Hofmann; James G Christensen; Martin R Weiser Journal: Clin Cancer Res Date: 2010-11-22 Impact factor: 12.531
Authors: Shuji Ogino; Katsuhiko Nosho; Gregory J Kirkner; Kaori Shima; Natsumi Irahara; Shoko Kure; Andrew T Chan; Jeffrey A Engelman; Peter Kraft; Lewis C Cantley; Edward L Giovannucci; Charles S Fuchs Journal: J Clin Oncol Date: 2009-02-23 Impact factor: 44.544
Authors: Shuji Ogino; Katsuhiko Nosho; Jeffrey A Meyerhardt; Gregory J Kirkner; Andrew T Chan; Takako Kawasaki; Edward L Giovannucci; Massimo Loda; Charles S Fuchs Journal: J Clin Oncol Date: 2008-10-27 Impact factor: 44.544
Authors: Christine H Chung; Erin H Seeley; Heinrich Roder; Julia Grigorieva; Maxim Tsypin; Joanna Roder; Barbara A Burtness; Athanassios Argiris; Arlene A Forastiere; Jill Gilbert; Barbara Murphy; Richard M Caprioli; David P Carbone; Ezra E W Cohen Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-01-19 Impact factor: 4.254