Coordinated epidermal growth factor receptor pathway gene overexpression predicts epidermal growth factor receptor
Antonio Jimeno1, Aik Choon Tan, Jordy Coffa
1Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD 21231-1000, USA.
Abstract:
The epidermal growth factor receptor (EGFR) inhibitor erlotinib is approved for treatment of pancreatic cancer but the overall activity is minimal, and known predictive factors for EGFR inhibitor efficacy are infrequent in this disease. We tested the hypothesis that global activation of the EGFR pathway is predictive of EGFR inhibitor efficacy. Pancreatic cancer tumors directly xenografted at surgery were treated with the EGFR inhibitors erlotinib and cetuximab and analyzed for biological features. Two of 10 tumors were sensitive, and by global gene expression profiling with gene set enrichment analysis, the EGFR pathway was highly expressed in sensitive compared with resistant tumors. The core gene components driving EGFR pathway overexpression were pathway ligands and positive effectors. In a prospective validation, the EGFR pathway-based signature correctly predicted anti-EGFR treatment response in eight additional tumors and was not predictive of response to gemcitabine and CI1040 (a MEK inhibitor). Analysis of EGFR, KRAS, and PIK3CA mutations and gene amplification by fluorescence in situ hybridization and multiplex ligation-dependent probe amplification showed that none of these genetic abnormalities were neither predictive nor responsible for the EGFR pathway activation. Coordinated overexpression of the EGFR pathway predicts susceptibility to EGFR inhibitors in pancreatic cancer. These results suggest a phenomenon of pathway addiction and support the value of unbiased system biology approaches in drug development.
Insights
Global activation of the epidermal growth factor receptor (EGFR) pathway predicts pancreatic cancer response to EGFR inhibitors. This pathway signature offers a novel approach for identifying patients likely to benefit from targeted therapies.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Erlotinib, an epidermal growth factor receptor (EGFR) inhibitor, has limited efficacy in pancreatic cancer.
- Predictive biomarkers for EGFR inhibitor response in pancreatic cancer are scarce.
Purpose of the Study:
- To investigate if global activation of the EGFR pathway predicts efficacy of EGFR inhibitors in pancreatic cancer.
- To identify potential biomarkers for predicting response to anti-EGFR therapies.
Main Methods:
- Directly xenografted human pancreatic cancer tumors were treated with erlotinib and cetuximab.
- Global gene expression profiling and gene set enrichment analysis were employed.
- EGFR, KRAS, PIK3CA mutations, and gene amplifications were analyzed.
Main Results:
- The EGFR pathway was significantly overexpressed in tumors sensitive to EGFR inhibitors compared to resistant tumors.
- A validated EGFR pathway-based signature accurately predicted response to anti-EGFR agents.
- Common genetic mutations (EGFR, KRAS, PIK3CA) did not predict pathway activation or treatment response.
Conclusions:
- Coordinated overexpression of the EGFR pathway is a predictive biomarker for anti-EGFR treatment in pancreatic cancer.
- This suggests a pathway addiction mechanism in pancreatic cancer.
- Unbiased systems biology approaches are valuable for drug development in oncology.
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