Cancer Biomarker Discovery via Targeted Profiling of Multiclass Tumor Tissue-Derived Proteomes |
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Authors: | Longhai Zhou Ming Cai Xuefeng Bruce Ling Qiang Wang Kenneth Lau Jiagang Jack Zhao James Schilling Liangbiao Chen |
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Affiliation: | 1. Key Laboratory of Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China 2. Department of Urinary Surgery, Organ Transplantation Center, Second Affiliated Hospital of Chinese PLA General Hospital, Beijing, 100091, China 3. Stanford University, Stanford, CA, 94305, USA 4. Stemnex Inc., Menlo Park, CA, 94025, USA
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Abstract: | Introduction Tumor-derived proteins and naturally occurring peptides represent a rich source of potential cancer markers for multiclass cancer distinction. Materials and Methods In this study, proteomes/peptidomes derived from primary colon cancer, kidney cancer, liver cancer, and glioblastoma were analyzed by liquid chromatography coupled with mass spectrometry to identify multiclass cancer discriminative protein and peptide candidates. Spectral counting and peptidomic analyses found two biomarker panels, one with 12 proteins and the other with 53 peptides, both capable of multiclass cancer detection and classification. Results and Discussion Shed from tumor tissues through apoptosis/necrosis, cell secretion, or tumor-specific degradation of extracellular matrix proteins, these proteins/peptides are likely to enter into circulation and, therefore, have the potential to be configured into practical serological diagnostic and prognostic utilities. |
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