Identification Of Differentially Expressed Proteins In Ovarian Normal, Benign, Borderline And Cancer By SELDI-TOF MS

Objective:Fatality rate of ovarian cancer is the highest in gynecological malignancies.Because of no symptoms in early disease,the ovaries deeped in the pelvis, routine physical examination find abnormal difficultly,more than 70% of ovarian cancer diagnosed at advanced stage.5-year survival rate is only about 15%,but 5-year survival rate of the early ovarian cancer (â… ,â…¡period) is over 90%. It may improve prognosis if the rate of early diagnosis of ovarian cancer is increased.SELDI-TOF MS have many advantages such as high throughput, high sensitivity, panoramic analyz of the protein samples and so on.It provides a new technology platform for the early diagnosis of cancer. This study was designed to search for differentially expressed proteins in normal ovaries, benign, borderline and malignant ovarian tumor protein using SELDI-TOF MS. We hope that it can lay the molecular basis for the clinical diagnosis of ovarian cancer.Methods:15 cases of primary epithelial ovarian cancer,5 cases of borderline ovarian cystadenoma,4 cases of epithelial ovarian cystadenoma and 5 cases of normal ovarian tissue samples were tested using SELDI-TOF MS. We analy preliminary the data with ProteinChip software 3.2 and the Biomarker Wizard (BMW) software.Results:1.Optimization experiments showed that the optimal conditions of ovarian cancer protein fingerprint is CM 10, pH4.0 sodium acetate buffer; 2.It found no significant difference by comparing 4 cases of epithelial ovarian cystadenoma with 5 cases of normal ovarian tissue protein fingerprint; 3.By comparing 9 benign with 15 malignant ovarian tumor protein fingerprint, it found 9 significantly higher the peak expression (P<0.01) in ovarian cancer tissue, respectively M/Z15112.15Da, M/Z15296.79Da, M/Z7560.78Da, M/Z16049.39Da, M/Z7682.06 Da, M/Z7932.30 Da, M/Z15851.32 Da, M/Z4619.68 Da and M/Z8052.10 Da; 4. By compairing respectively 5 cases borderline ovarian tumors with benign and malignant ovarian tumor protein fingerprints it had no statistical significance, but borderline ovarian tumor were between benign and malignant ovarian tumors in protein fingerprints point.Conclusion:In this study, we detected ovarian tumor protein using SELDI-TOF MS. By comparing the benign with malignant ovarian tumor protein fingerprint, we found that some proteins were highly expressed in ovarian cancer.It suggested that these high expression proteins might be related to the development of ovarian cancer.The borderline ovarian tumor protein fingerprints were between benign and malignant ovarian tumors. Borderline tumors has changed when the ovarian cancer had highly expressed protein. It possible participated in the process of early cancer.It provided foundation for searching early markers of ovarian cancer. The borderline ovarian tumor with highly proteins expressed in malignant ovarian tumors may be more likely to develop malignant.This may be provide molecular basis for borderline tumor with adjuvant therapy.