Yang V WC |
------>authors3_c=None ------>paper_class1=2 ------>Impact_Factor=None ------>paper_class3=0 ------>paper_class2=0 ------>vol= ------>confirm_bywho=tzengcr ------>insert_bywho=tzengcr ------>Jurnal_Rank=None ------>authors4_c=None ------>comm_author=1 ------>patent_EDate=None ------>authors5_c=None ------>publish_day=20 ------>paper_class2Letter=None ------>page2= ------>medlineContent= ------>unit=E0111 ------>insert_date=20060221 ------>iam=4 ------>update_date=None ------>author=??? ------>change_event=4 ------>ISSN= ------>authors_c=None ------>score=25 ------>journal_name=presented at Taiwanese Society for Reproductive Medicine (TSRM) 2003 Annual Meeting, Taipei, Taiwan ------>paper_name=Identification of Serum Markers for Endometriosis ------>confirm_date=20060228 ------>tch_id=079009 ------>pmid=19302738 ------>page1= ------>fullAbstract=BACKGROUND: Endometriosis is a common gynecological disease. This study aimed to screen proteins that were expressed differently in patients with endometriosis versus normal controls using proteomic techniques, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). METHODS: Protein chip SELDI-TOF-MS combines the advantages of microarray and mass spectrometry, and can screen latent markers in sera of patients with endometriosis. Serum samples from patients and normal volunteers were analyzed by SELDI-TOF-MS. RESULTS: After comparing the serum protein spectra of 36 patients with 24 normal controls, 24 differently expressed potential biomarkers (P < 0.01) were identified. Using Biomarker Pattern software, we established a tree model of the 60 serum protein spectra. When using the three biomarkers to classify the samples, the sensitivity for diagnosing endometriosis was 91.7%, specificity was 95.8%, and coincidence rate was 93.3%. Then we used serum samples from 12 patients and 8 normal controls to validate the tree model and report the sensitivity for diagnosing endometriosis was 91.7%, specificity was 75%, and coincidence rate was 85%. CONCLUSIONS: SELDI-TOF-MS may be a useful tool in high-risk population screening for endometriosis. The identification and application of the biomarkers need to further study. ------>tmu_sno=None ------>sno=13062 ------>authors2=HuangYJ ------>authors3=Wang A. HJ ------>authors4=Tzeng CR ------>authors5= ------>authors6= ------>authors6_c=None ------>authors=Yang V WC ------>delete_flag=0 ------>SCI_JNo=None ------>authors2_c=None ------>publish_area=1 ------>updateTitle=Effect of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry on identifing biomarkers of endometriosis. ------>language=2 ------>check_flag=None ------>submit_date=None ------>country=None ------>no= ------>patent_SDate=None ------>update_bywho=None ------>publish_year=2003 ------>submit_flag=None ------>publish_month=12 |