IR@PKUHSC  > 北京大学医学信息学中心
学科主题医学信息学
Identifying Serum Biomarkers for Ovarian Cancer by Screening With Surface-Enhanced Laser Desorption/Ionization Mass Spectrometry and the Artificial Neural Network
Yang, Jing1; Zhu, Yanhui2; Guo, Hongyan3; Wang, Xiuyun3; Gao, Ronglian3; Zhang, Lufang3; Zhao, Yangyu3; Zhang, Xiaowei3
关键词Ovarian Cancer Artificial Neural Network Seldi-tof Ms Proteomic Model
刊名INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER
2013-05-01
DOI10.1097/IGC.0b013e31827e1989
23期:4页:667-672
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]PROTEOMIC PATTERNS ; AMYLOID A1 ; IDENTIFICATION ; CLASSIFICATION ; RECURRENCE ; PREDICTION ; SPECTRA ; PROTEIN ; MARKER ; TRIALS
英文摘要

Objective: The purpose of this study was to screen potential serum tumor biomarkers for the diagnosis of ovarian cancer.

Methods: The study includes 3 sets. The first set of patients included 37 ovarian cancers and 31 healthy women (healthy controls). The second set included 42 ovarian cancers, 33 patients with benign ovarian tumor, and 29 healthy women (noncancer controls). The third set included 39 ovarian cancers and 35 patients with benign ovarian tumor (benign controls). Serum samples from ovarian cancers, healthy controls, noncancer controls, and benign controls were analyzed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry.

Results: A 3-peak model (peaks of mass-to-charge ratio values at 5766.379 d, 5912.586 d, and 11695.56 d) was established in the training set that discriminated cancer from noncancer with high sensitivity (10/11, 90.90%) and specificity (19/20, 95.00%). The peaks corresponding to 3 potential biomarkers increased significantly with the degree of malignancy.

Conclusions: The proteins represented by these 3 peaks are biomarker candidates for ovarian cancer diagnosis and/or monitoring treatment response.

语种英语
WOS记录号WOS:000318071300013
项目编号39970763 ; 30471807
资助机构National Natural Science Foundation of China
引用统计
被引频次:1[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/400002259/51827
专题北京大学医学信息学中心
作者单位1.Peking Univ, Med Informat Ctr, Beijing 100191, Peoples R China
2.Haidian Womens & Childrens Hosp, Dept Obstet & Gynecol, Beijing 100080, Peoples R China
3.Peking Univ, Hosp 3, Dept Obstet & Gynecol, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
Yang, Jing,Zhu, Yanhui,Guo, Hongyan,et al. Identifying Serum Biomarkers for Ovarian Cancer by Screening With Surface-Enhanced Laser Desorption/Ionization Mass Spectrometry and the Artificial Neural Network[J]. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER,2013,23(4):667-672.
APA Yang, Jing.,Zhu, Yanhui.,Guo, Hongyan.,Wang, Xiuyun.,Gao, Ronglian.,...&Zhang, Xiaowei.(2013).Identifying Serum Biomarkers for Ovarian Cancer by Screening With Surface-Enhanced Laser Desorption/Ionization Mass Spectrometry and the Artificial Neural Network.INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER,23(4),667-672.
MLA Yang, Jing,et al."Identifying Serum Biomarkers for Ovarian Cancer by Screening With Surface-Enhanced Laser Desorption/Ionization Mass Spectrometry and the Artificial Neural Network".INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER 23.4(2013):667-672.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yang, Jing]的文章
[Zhu, Yanhui]的文章
[Guo, Hongyan]的文章
百度学术
百度学术中相似的文章
[Yang, Jing]的文章
[Zhu, Yanhui]的文章
[Guo, Hongyan]的文章
必应学术
必应学术中相似的文章
[Yang, Jing]的文章
[Zhu, Yanhui]的文章
[Guo, Hongyan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。