Related Experiment Video
Updated: Jun 11, 2026

Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays
Published on: September 19, 2018
Deciphering signaling pathways in clinical tissues for personalized medicine using protein microarrays
K Malinowsky1, C Wolff, B Ergin
1Department of Pathology, Technische Universität München, Munich, Germany. katharina.malinowsky@lrz.tum.de
Abstract:
The current transition in cancer therapy from general treatment approaches, based mainly on chemotherapy and radiotherapy, to more directed approaches that aim to inhibit specific molecular targets has brought about new challenges for pathology. In the past, classical assignment of pathology consisted of tumor diagnosis and staging for further therapy decisions; nowadays, pathologists are asked to predict possible therapeutic results by detecting and quantifying therapeutic targets in tumors such as the human epidermal growth factor receptor 2 (HER2). The best approach to analyze such molecular targets is to provide a tumor-specific protein expression profile prior to therapy. To further elucidate signaling networks underlying cancer development and to identify new targets, it is necessary to implement tools that allow fast, precise, cheap, and simultaneous analysis of many network components while requiring only a small amount of clinical material. Reverse phase protein microarray (RPPA) is a promising technology that meets these requirements while enabling quantitative measurement of proteins. Recently, methods for the extraction of proteins from formalin-fixed, paraffin-embedded (FFPE) tissues have become available. In this article, we demonstrate how the use of RPPA to analyze signaling pathways from FFPE tissues may improve quantification of therapeutic targets and diagnostic markers in the near future.
Insights
Pathology faces new challenges with targeted cancer therapies. Reverse phase protein microarray (RPPA) analysis of formalin-fixed, paraffin-embedded (FFPE) tissues offers a precise method for quantifying therapeutic targets and diagnostic markers.
Area of Science:
- Oncology
- Molecular Pathology
- Biotechnology
Background:
- Cancer therapy is shifting from general chemotherapy/radiotherapy to targeted molecular approaches.
- This transition requires pathology to move beyond diagnosis and staging to predicting therapeutic outcomes.
- Detecting and quantifying specific molecular targets like HER2 is crucial for personalized cancer treatment.
Purpose of the Study:
- To explore the utility of Reverse Phase Protein Microarray (RPPA) for analyzing signaling pathways in cancer.
- To demonstrate the application of RPPA for quantifying therapeutic targets and diagnostic markers in formalin-fixed, paraffin-embedded (FFPE) tissues.
- To highlight RPPA as a tool for fast, precise, and simultaneous analysis of multiple cancer-related proteins using minimal clinical material.
Main Methods:
- Utilized Reverse Phase Protein Microarray (RPPA) technology.
- Developed and applied methods for protein extraction from formalin-fixed, paraffin-embedded (FFPE) tissues.
- Performed quantitative measurement of protein expression profiles.
Main Results:
- Demonstrated the feasibility of using RPPA to analyze signaling pathways from FFPE tissues.
- Showcased the potential of RPPA for accurate quantification of therapeutic targets.
- Indicated RPPA's capability in quantifying important diagnostic markers relevant to cancer therapy.
Conclusions:
- RPPA is a promising technology for quantitative protein analysis in cancer pathology.
- Analyzing FFPE tissues with RPPA can enhance the quantification of therapeutic targets and diagnostic markers.
- This approach supports the development of more precise and personalized cancer therapies.
Related Concept Videos
DNA Microarrays
Proteomics
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Interactions Between Signaling Pathways
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...

