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学科主题: 临床医学
题名:
Proteomic studies of early-stage and advanced ovarian cancer patients
作者: 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
发表日期: 2008-10-01
DOI: 10.1016/j.ygyno.2008.06.031
卷: 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
所属项目编号: 39970763 ; 30471807
项目资助者: National Natural Science Foundation of China
WOS记录号: WOS:000259896200022
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/57719
Appears in Collections:北京大学第三临床医学院_期刊论文

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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

Recommended Citation:
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.
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