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Updated: Jun 12, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Integrating molecular diagnostics into anticancer drug discovery.
István Peták1, Richárd Schwab, László Orfi
1KPS Medical Biotechnology and Healthcare Services Ltd, 5 Ribary, 1022 Budapest, Hungary. petak@kps.hu
Biomarker selection for cancer drugs like trastuzumab (HER2) initially seemed promising. However, epidermal growth factor receptor (EGFR) targeted therapies show that expression levels are unreliable biomarkers; specific mutations are key for patient selection.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Trastuzumab, an HER2-targeted therapy, was approved using HER2 expression for patient selection.
- This success influenced the development of drugs targeting the epidermal growth factor receptor (EGFR).
Purpose of the Study:
- To analyze the lessons learned from developing EGFR-targeted therapies.
- To discuss strategies for improving anticancer drug discovery by integrating molecular diagnostics.
Main Methods:
- Review of clinical trial data for HER2- and EGFR-targeted therapies.
- Analysis of biomarker utility in patient selection for cancer drugs.
Main Results:
- EGFR expression is an insufficient biomarker for selecting patients for EGFR-targeted therapies in lung and colon cancer.
- Specific mutations within the targeted pathway have been validated as reliable predictors of response.
Conclusions:
- Relying solely on protein expression levels as biomarkers for targeted cancer therapies can lead to clinical development failures.
- Integrating molecular diagnostics, particularly mutation analysis, is crucial for effective patient selection and successful anticancer drug discovery.
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