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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Strategies for kinome profiling in cancer and potential clinical applications: chemical proteomics and array-based
Sander R Piersma1, Mariette Labots, Henk M W Verheul
1Department of Medical Oncology, OncoProteomics Laboratory, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.
Abstract:
Kinases are key enzymes involved in deregulated signal transduction associated with cancer development and progression. The advent of personalized medicine drives the development of new diagnostic tools for patient stratification and therapy selection Ginsburg and Willard (Transl Res 154:277-287, 2009). Since deregulation of kinase-mediated signal transduction is implied in tumorigenesis, the analysis of all kinases (the kinome) active in a particular tumor may yield tumor-specific information on aberrant cell signalling pathways. Tumor tissue kinase activity profiles may correlate with response to therapy and therefore may be used for future therapy selection. In this Trend paper we describe peptide array and mass spectrometry-based technologies and new developments for kinome profiling, and we present an outlook towards future implementation of therapy selection based on kinome profiling in clinical practice.
Insights
Kinase activity profiling in tumors can reveal aberrant signaling pathways crucial for cancer progression. This approach holds promise for personalized medicine, enabling patient stratification and targeted therapy selection.
Area of Science:
- Biochemistry
- Oncology
- Molecular Biology
Background:
- Kinases are crucial enzymes in signal transduction pathways.
- Deregulated kinase activity is implicated in cancer development and progression.
- Personalized medicine necessitates advanced diagnostic tools for patient stratification and therapy selection.
Purpose of the Study:
- To explore kinome profiling for identifying tumor-specific aberrant signaling pathways.
- To investigate the potential of kinome activity profiles for predicting therapy response.
- To provide an outlook on implementing kinome profiling in clinical practice for therapy selection.
Main Methods:
- Utilizing peptide array-based technologies for kinome profiling.
- Employing mass spectrometry-based techniques for kinome analysis.
- Describing new developments in kinome profiling technologies.
Main Results:
- Kinome profiling can yield tumor-specific information on aberrant cell signaling.
- Tumor tissue kinase activity profiles may correlate with therapy response.
- The described technologies offer new avenues for kinome analysis.
Conclusions:
- Kinome profiling is a valuable tool for understanding cancer signaling.
- This approach has the potential to guide personalized therapy selection.
- Future clinical implementation of kinome profiling is anticipated.
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