IR@PKUHSC  > 北京大学第三临床医学院
学科主题临床医学
Proteomic studies of early-stage and advanced ovarian cancer patients
Wang, Jing1; Zhang, Xiaowei1; Ge, Xiaohui1; Guo, Hongyan1; Xiong, Guangwu1; Zhu, Yan2
关键词Ovarian Cancer Mass Spectrometry Proteomic Pattern Diagnosis
刊名GYNECOLOGIC ONCOLOGY
2008-10-01
DOI10.1016/j.ygyno.2008.06.031
111期:1页:111-119
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Oncology ; Obstetrics & Gynecology
研究领域[WOS]Oncology ; Obstetrics & Gynecology
关键词[WOS]BIOMARKER DISCOVERY ; MASS-SPECTROMETRY ; TUMOR-MARKERS ; SERUM ; IDENTIFICATION ; CLASSIFICATION ; DIAGNOSIS ; PROGNOSIS
英文摘要

Objectives. The objectives of this Study were to evaluate the diagnostic value for ovarian cancer using proteomic pattern established by surface-enhanced laser desorption/ionization (SELDI-TOF-MS) profiling of plasma proteins coupled with support vector machine (SVM) data analysis, and to investigate whether the proteomic pattern established by advanced ovarian cancer could be used for diagnosis of early-stage ovarian cancer patients.

Methods. The Study included 44 ovarian cancer patients (11 early-stage and 33 advanced ovarian cancer patients) and 31 age-matched non-cancer controls. SELDI-TOF-MS coupled with SVM analysis was performed to establish a proteomic pattern to discriminate 33 advanced ovarian cancer patients from 31 non-cancer controls. A blind test, including 11 early-stage ovarian cancer cases, was performed to investigate whether proteomic pattern established by advanced ovarian cancer could be used for diagnosis of early-stage ovarian cancer patients.

Results. A seven-peak proteomic pattern was established which discriminated 33 advanced ovarian cancer patients from 31 non-cancer controls effectively. A sensitivity of 93.94% (31/33) and a specificity of 93.55% (29/31) were yielded from the proteomic pattern. Among the 7 protein peaks, 5 with mass charge ratio (m/z) 4099 Da, 5488 Da, 4144 Da, 4479 Da and 3940 Da were up-regulated, while 2 peaks, with m/z 13 783 Da and 8588 Da were down-regulated in the advanced ovarian cancer group compared with non-cancer control group. After blind test, 9 of 11 early-stage ovarian cancer patients were successfully diagnosed with the accuracy of 81.82% (9/11).

Conclusions. This study demonstrated that SELDI-TOF-MS coupled with SVM is effective in distinguishing protein expression between ovarian cancer and non-cancer plasma and it may be feasible to diagnose early-stage ovarian cancer using proteomic pattern established by advanced ovarian cancer. The gained and lost protein peaks in plasma may exist in both early-stage and advanced ovarian cancer plasma. Further studies should be performed using larger sample numbers. (C) 2008 Elsevier Inc. All rights reserved.

语种英语
WOS记录号WOS:000259896200022
项目编号39970763 ; 30471807
资助机构National Natural Science Foundation of China
引用统计
被引频次:34[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/57719
专题北京大学第三临床医学院
作者单位1.Peking Univ, Hosp 3, Dept Obstet & Gynecol, Beijing 100871, Peoples R China
2.Liaoning Med Univ, Affiliated Hosp 1, Dept Obstet & Gynecol, Jinzhou, Peoples R China
推荐引用方式
GB/T 7714
Wang, Jing,Zhang, Xiaowei,Ge, Xiaohui,et al. Proteomic studies of early-stage and advanced ovarian cancer patients[J]. GYNECOLOGIC ONCOLOGY,2008,111(1):111-119.
APA Wang, Jing,Zhang, Xiaowei,Ge, Xiaohui,Guo, Hongyan,Xiong, Guangwu,&Zhu, Yan.(2008).Proteomic studies of early-stage and advanced ovarian cancer patients.GYNECOLOGIC ONCOLOGY,111(1),111-119.
MLA Wang, Jing,et al."Proteomic studies of early-stage and advanced ovarian cancer patients".GYNECOLOGIC ONCOLOGY 111.1(2008):111-119.
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