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About the Research Program

Mission

The mission of this group (CBRG) is to engage basic and clinical scientists as well as epidemiologists and statisticians in a search for and validation of promising early cancer biomarkers. To do so, the group supports and facilitates a broad spectrum of national and international research activities in cancer biology, particularly for the discovery of biomarkers for risk prediction and early detection of cancer. The CBRG also supports the development of databases and informatics systems to optimize tracking and assessment of biomarker utility and expression patterns. By facilitating, promoting, and coordinating research with the latest developments in technology and molecular circuitry of preneoplastic cells, the CBRG is committed to providing mechanistic predictors of preneoplastic progression and tools for effective cancer prevention. Our mission is accomplished through focused program portfolios, including grants, contracts, and program-initiated research.

• Research for the development and validation of promising early cancer biomarkers, including cellular; genetic; molecular; proteomics; metabolomics; glycomics; and other phenotypic markers such as pathologic grades or stages and prediction of progression. The Group also facilitates and support development of enabling and technologies to accelerate characterization of preneoplastic lesions, early stages of cancer, risk factors leading to assay development for risk prediction and early detection and diagnosis of cancer.
• Development of new enabling technologies or refinement of existing technologies to ascertain the molecular circuitry of preneoplastic cells.
• Development of clinical specimen reference sets for defined cancers to rapidly assess the diagnostic performance of new and promising cancer biomarkers.
• Development of data warehouses, databases and informatics systems to facilitate in silico analysis towards discovery of candidate markers and optimize tracking and assessment of biomarker utility and expression patterns.
• Development of statistical tools and algorithms to develop models and classifiers for risk cancer and identification of early cancer.
• Develop collaborations with national or international institutions and foundations to synergize efforts to accelerate early cancer detection research.