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Published on: September 19, 2018
Proteomic approaches for investigation of therapy resistance in cancer
1Institute of Pathology, Charité Campus Mitte, Berlin, Germany. hermann.lage@charite.de.
Abstract:
Resistance to anticancer therapy is a major obstacle for successful management of patients in oncology. Although in the past, various biological mechanisms involved in therapy resistance, in particular multidrug resistance, have been identified, cancer patients did not really benefit. The mechanisms include the enhanced activity of drug extrusion pumps, modulation of cellular death pathways, alteration and repair of target molecules and various other mechanisms. Together they build a complex network mediating an individual therapy-resistant phenotype. The improved description of this multifactorial network should be useful for prediction of treatment response and would allow to design an individual-tailored therapy regiment. Proteome analyzing technologies appear as powerful tools for identifying new factors and protein expression profiles associated with anticancer therapy resistance. In the last years, the application of proteomic techniques identified multiple new factors or protein expression signatures in drug-resistant cell models and cancerous tissues. However, the functional role and the clinical impact of these findings are not yet clarified. So far, none of the proteomic data were useful for the development of improved diagnostic tests, for prediction of individual therapy response or for development of updated chemosensitizers. Here, the previous therapy resistance-related proteome data and future perspectives will be discussed.
Insights
Understanding anticancer therapy resistance is crucial for cancer patient management. Proteomics offers potential for identifying resistance factors, but clinical applications remain limited.
Area of Science:
- Oncology
- Proteomics
- Molecular Biology
Background:
- Therapy resistance, particularly multidrug resistance, is a significant challenge in cancer treatment.
- Identified mechanisms include drug efflux pumps, altered cell death pathways, and target molecule repair.
- These mechanisms form a complex network contributing to individual therapy-resistant phenotypes.
Purpose of the Study:
- To review proteomic data related to anticancer therapy resistance.
- To discuss the potential of proteomics in predicting treatment response and tailoring therapy.
- To explore future perspectives for utilizing proteomic findings in clinical oncology.
Main Methods:
- Review of existing literature on proteomic techniques and therapy resistance.
- Analysis of proteomic data from drug-resistant cell models and cancerous tissues.
- Discussion of identified protein factors and expression profiles associated with resistance.
Main Results:
- Proteomic techniques have identified numerous factors and protein signatures linked to anticancer therapy resistance.
- Despite progress, the functional roles and clinical impact of these proteomic findings are not yet fully understood.
- Current proteomic data has not yet led to improved diagnostic tests or chemosensitizers.
Conclusions:
- A deeper understanding of the multifactorial resistance network is needed for personalized cancer therapy.
- Proteomics holds promise for identifying novel biomarkers for predicting treatment response.
- Further research is required to translate proteomic discoveries into clinically applicable tools for cancer patients.
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