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[Role of predictive pathology in oncology--example of new therapies targeting EGFR]
1Institut für Pathologie, Universität Regensburg.
Abstract:
New cancer-specific therapies are based on specific molecular alterations of malignant tumors which are targeted by small inhibitory molecules or specific antibodies. During the development of these agents potential molecular targets are characterized for their expression and importance for pathogenesis and clinical course of the disease. Frequently the assumption is made that the degree of expression of the target protein or the molecular alteration of the target gene allows a prediction if a certain patient will profit from the therapy against this specific protein or not. The first example was that breast cancer patients with overexpression and/or amplification of Her-2 respond to a Her-2-specific antibody (Herceptin) therapy. The expression or activation of the Epidermal Growth Factor Receptor (EGFR, Her-1) are altered in many epithelial tumours and clinical studies indicate that they have important roles in tumor aetiology and progression. Several EGFR-specific monoclonal antibodies and specific tyrosine kinase inhibitors were developed in the last years. Cetuximab is approved for the treatment of metastatic colorectal cancer and advanced squamous cell carcinoma of the head and neck and is investigated in numerous trials for other tumors. The expression of EGFR in the tumor was a prerequisite for the therapy in the first trials, giving the pathologist a central role in treatment decision. However, recent data clearly demonstrate that the degree of EGFR expression does not correlate with therapy response. Therefore a therapy should be not denied to a individual patient solely because of lack of EGFR expression in the tumor. Tyrosine kinase inhibitors (e. g. Gefitinib, Erlotinib) are effective in the treatment of non small cell lung cancer and also investigated in ongoing trials in many cancer types. The correlation of therapy response with both specific molecular alterations (EGFR tyrosine kinase domain mutations) and clinicopathological features (Asian ethnicity, women, non-smokers, bronchioloalveolar differentation) is a good example of the potential role of predictive molecular pathology in the future.
Insights
Targeted cancer therapies rely on molecular alterations. However, Epidermal Growth Factor Receptor (EGFR) expression doesn't predict response to EGFR-targeted drugs, suggesting broader patient eligibility.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacogenomics
Background:
- Cancer therapies increasingly target specific molecular alterations in tumors.
- Predicting patient response based on target protein expression is a common strategy.
- Epidermal Growth Factor Receptor (EGFR) is implicated in various epithelial tumors.
Purpose of the Study:
- To evaluate the role of Epidermal Growth Factor Receptor (EGFR) expression in predicting response to EGFR-targeted therapies.
- To determine if EGFR expression levels should be the sole criterion for denying patients targeted treatment.
- To explore other predictive markers for targeted cancer therapies.
Main Methods:
- Review of clinical studies on EGFR-specific monoclonal antibodies and tyrosine kinase inhibitors.
- Analysis of data correlating EGFR expression with therapy response.
- Investigation of molecular alterations and clinicopathological features as predictive markers.
Main Results:
- Recent data indicate that the degree of EGFR expression does not correlate with therapy response to EGFR-targeted agents.
- EGFR expression should not be the sole basis for denying patients targeted therapy.
- EGFR tyrosine kinase domain mutations and specific clinicopathological features show potential as predictive markers.
Conclusions:
- The predictive value of EGFR expression for EGFR-targeted therapy response is limited.
- Patient selection for EGFR-targeted therapies should consider factors beyond mere EGFR expression.
- Predictive molecular pathology, incorporating mutations and patient characteristics, holds promise for future cancer treatment decisions.
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