Autor: |
Wang Na, Wen XinYu, Wang Jie, Li AiLing, Li WeiHua, Li Tao, Li Yan, Zhang XueMin, Wang HongXia, Yang SongCheng, Zhou Tao, Gong WeiLi, Tian YaPing, He Kun |
Předmět: |
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Zdroj: |
Chinese Science Bulletin; Feb2009, Vol. 54 Issue 3, p421-429, 9p, 1 Diagram, 1 Chart, 3 Graphs |
Abstrakt: |
Early detection of breast cancer is paramount to successful clinical therapy. Yet, early-stage breast cancer lacks specific symptoms or biomarkers. With the emerging of the mass spectrometric (MS) -based signatures as biomarkers, we investigated breast cancer-related serum profile pattern through class prediction and independent validation, and used Fourier transfer MS to identify breast cancer signature. We now show a distinctive serum peptide pattern that discriminates breast cancer from healthy controls with 93.2% sensitivity and 95.4% specificity. m/z 5901.70 and 4465.74 of ion fragment of FPA and aipha1 -antichymotrypsin are found in the signatures that predominantly discriminate breast cancer from healthy individuals. These novel findings identify an MS-based serum peptide pattern of breast cancer that may have direct clinical utility in future. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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