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An integrated approach utilizing proteomics and bioinformatics to detect ovarian cancer

โœ Scribed by Yu Jie-kai; Zheng Shu; Tang Yong; Li Li

Publisher
SP Zhejiang University Press
Year
2005
Tongue
English
Weight
772 KB
Volume
6
Category
Article
ISSN
1673-1581

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More than 90% of epithelial ovarian cancers arise from single cells. Malignant transformation can be associated with a number of molecular alterations including upregulation of tyrosine kinases and phosphatases, physiologic activation of ras, mutation of p53, amplification of myc, and increased acti