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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Clinical proteomics of breast cancer
1Dokuz Eylul University, Institute of Oncology, 35340 Inciraltı, Izmir, Turkey.
Abstract:
Despite the lifetimes that increased in breast cancers due to the the early screening programs and new therapeutic strategies, many cases still are being lost due to the metastatic relapses. For this reason, new approaches such as the proteomic techniques have currently become the prime objectives of breast cancer researches. Various omic-based techniques have been applied with increasing success to the molecular characterisation of breast tumours, which have resulted in a more detailed classification scheme and have produced clinical diagnostic tests that have been applied to both the prognosis and the prediction of outcome to the treatment. Implementation of the proteomics-based techniques is also seen as crucial if we are to develop a systems biology approach in the discovery of biomarkers of the early diagnosis, prognosis and prediction of the outcome of the breast cancer therapies. In this review, we discuss the studies that have been conducted thus far, for the discovery of diagnostic, prognostic and predictive biomarkers, and evaluate the potential of the discriminating proteins identified in this research for clinical use as breast cancer biomarkers.
Insights
Proteomics research aims to find new breast cancer biomarkers for early diagnosis and treatment prediction, crucial for overcoming metastatic relapses despite advances in screening and therapy.
Area of Science:
- Oncology
- Proteomics
- Biomarker Discovery
Background:
- Despite improved breast cancer survival rates due to early screening and therapies, metastatic relapses remain a significant challenge.
- Proteomic techniques are increasingly vital for molecular characterization of tumors, aiding classification and clinical diagnostics.
- A systems biology approach using proteomics is essential for discovering biomarkers for breast cancer diagnosis, prognosis, and treatment prediction.
Purpose of the Study:
- To review studies on diagnostic, prognostic, and predictive biomarker discovery in breast cancer using proteomics.
- To evaluate the clinical potential of identified proteins as breast cancer biomarkers.
Main Methods:
- Review of existing literature on proteomics-based biomarker discovery in breast cancer.
- Analysis of identified protein candidates for their diagnostic, prognostic, and predictive capabilities.
Main Results:
- Proteomics has successfully contributed to a more detailed classification of breast tumors.
- Various omic-based techniques have yielded clinical diagnostic tests for prognosis and treatment outcome prediction.
- The review identifies and evaluates potential protein biomarkers for clinical application.
Conclusions:
- Proteomics is crucial for advancing breast cancer research through a systems biology approach.
- Identifying reliable protein biomarkers through proteomics can significantly improve early diagnosis, prognosis, and treatment strategies.
- Further evaluation of identified proteins is necessary to establish their clinical utility as breast cancer biomarkers.
