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Proteomics and Bioinformatics Approaches for Identification of Serum Biomarkers to Detect Breast Cancer

Clinical Chemistry · 2002 · Vol. 48(8) · pp. 1296–1304

Jinong Li(Johns Hopkins University)Zhen Zhang(Johns Hopkins University)Jason M. Rosenzweig(Johns Hopkins University)Young Y. Wang(Johns Hopkins University)Daniel W. Chan✉(Johns Hopkins University)

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Abstract

Proteomics approaches such as SELDI mass spectrometry, in conjunction with bioinformatics tools, could greatly facilitate the discovery of new and better biomarkers. The high sensitivity and specificity achieved by the combined use of the selected biomarkers show great potential for the early detection of breast cancer.

Mass Spectrometry Techniques and Applications Advanced Proteomics Techniques and Applications Ion-surface interactions and analysisBreast cancerProteomicsMass spectrometryCancerStage (stratigraphy)OncologyChemistryInternal medicineMedicineChromatography

MeSH terms

AdultAgedAged, 80 and overBreast NeoplasmsFemaleHumansMiddle AgedNeoplasm StagingRetrospective StudiesBiomarkers, TumorMolecular Probe TechniquesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationComputational BiologyBRCA1 ProteinProteome

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National Academy of Clinical Biochemistry Laboratory Medicine Practice Guidelines for Use of Tumor Markers in Testicular, Prostate, Colorectal, Breast, and Ovarian Cancers