| Autor: |
Ziganshin RKh, Alekseev DG, Arapidi GP, Ivanov VT, Moshkovskiĭ SA, Govorun VM |
| Jazyk: |
ruština |
| Zdroj: |
Biomeditsinskaia khimiia [Biomed Khim] 2008 Jul-Aug; Vol. 54 (4), pp. 408-19. |
| Abstrakt: |
Using reverse-phase (MB-HIC 8 and HB-HIC 18) weak cation exchange (MB-WCX) and metal affinity ClinProt magnetoc beads peptides and protein factions were obtained from human sera for their profiling by MALDI-TOF mass spectrometry. Proteome profiling of sera from I-IV stage ovarian cancer patients (47 women, average age 51) and from healthy women (47 subjects, average age 49) using MB-WCX beads allowed calculation of the best diagnostic models based on the Genetic Algorithm and Supervised Neural Network classifiers; these model generated 100% sensitivity and specificity when the test set of subjects was analyzed. Introduction of additional sera from patients with colorectal cancer (19) and ulcerous colitis (5) to the statistical model confirmed 100% ovarian cancer recognition. Statistical mass-spectrometry analysis of mass-spectrometry peak areas included to the diagnostic classifiers showed 3 peaks distinctive for ovarian cancer and 4 peaks distinctive for ovarian and colorectal cancer. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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