【摘 要】
：
Mass spectrometric analysis of the blood proteome is an emerging method of clinical proteomics.The approach exploiting multi-protein/peptide sets (fingerprints) detected by mass spectrometry that refl
【机 构】
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Department of Experimental and Clinical Radiobiology Maria Sklodowska-Curie Memorial Cancer Center a
【出 处】
：
BIT‘s2nd Annual World Cancer Congess-2009 (2009第二届癌症大会)
论文部分内容阅读
Mass spectrometric analysis of the blood proteome is an emerging method of clinical proteomics.The approach exploiting multi-protein/peptide sets (fingerprints) detected by mass spectrometry that reflect overall features of a specimens proteome, termed proteome pattern analysis, have been already shown in several studies to have applicability in cancer diagnostics.Here we aimed to identify serum proteome patterns specific for the early stage breast cancer patients using MALDI-ToF mass spectrometry.Blood samples were collected before the start of therapy in a group of 92 patients diagnosed at stages Ⅰ and Ⅱ of the disease, and in a group of age-matched healthy controls (104 women).Serum specimens were purified and the low-molecular-weight proteorne fraction (2-10 kDa) examined by spectrometry after removal of albumin and other large serum proteins, and then registered mass spectra were analyzed using new bioinformatic tools created in our group.We identified the classifier built of four spectral components that differentiated healthy persons and breast cancer patients with 80% specificity and 81% sensitivity.Spectral components (i.e., protein ions) that were the most frequent in such classifier had approximate m/z value of 2866, 3579, 3895 and 7474 Da.We have also observed significantly (p=0.0003) increased level of osteopontin in blood of analyzed group of cancer patients.Thus, we tested marker built of the most important spectral components and osteopontin.The performance of this combined marker further increased, which was validated on independent group of individuals.
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