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CLC number: R737.33

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Received: 2007-12-11

Revision Accepted: 2008-01-28

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Cited: 2

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Journal of Zhejiang University SCIENCE B 2008 Vol.9 No.4 P.286-290


Proteiomic patterns for endometrial cancer using SELDI-TOF-MS

Author(s):  Li-rong ZHU, Wen-ying ZHANG, Li YU, Yan-hua ZHENG, Jun HU, Qin-ping LIAO

Affiliation(s):  Department of Gynecology, Peking University First Hospital, Beijing 100034, China; more

Corresponding email(s):   qinping_liao@hotmail.com

Key Words:  Biomarkers, Surface-enhanced laser desorption-ionization time-of-flight mass spectrometry (SELDI-TOF-MS), Endometrial cancer (EC), Proteomics

Li-rong ZHU, Wen-ying ZHANG, Li YU, Yan-hua ZHENG, Jun HU, Qin-ping LIAO. Proteiomic patterns for endometrial cancer using SELDI-TOF-MS[J]. Journal of Zhejiang University Science B, 2008, 9(4): 286-290.

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author="Li-rong ZHU, Wen-ying ZHANG, Li YU, Yan-hua ZHENG, Jun HU, Qin-ping LIAO",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Proteiomic patterns for endometrial cancer using SELDI-TOF-MS
%A Li-rong ZHU
%A Wen-ying ZHANG
%A Li YU
%A Yan-hua ZHENG
%A Jun HU
%A Qin-ping LIAO
%J Journal of Zhejiang University SCIENCE B
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%P 286-290
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%D 2008
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B0710589

T1 - Proteiomic patterns for endometrial cancer using SELDI-TOF-MS
A1 - Li-rong ZHU
A1 - Wen-ying ZHANG
A1 - Li YU
A1 - Yan-hua ZHENG
A1 - Jun HU
A1 - Qin-ping LIAO
J0 - Journal of Zhejiang University Science B
VL - 9
IS - 4
SP - 286
EP - 290
%@ 1673-1581
Y1 - 2008
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.B0710589

Serum samples from endometrial cancer (EC) patients and healthy females were analyzed using surface-enhanced laser desorption-ionization time-of-flight mass spectrometry (SELDI-TOF-MS) to discover the potential diagnostic biomarker for detection of EC. A preliminary training set of spectra derived from 40 EC patients and 30 healthy women were used to develop a proteomic model that effectively discriminated cancer patients from healthy women. The training set had a specificity of 100% and sensitivity of 92.5% in the EC detection. A blind test set, including 20 new cancer cases and 10 healthy women, was used to validate the sensitivity and specificity of this multivariate model, which had a corresponding results of 60% in specificity and 75% in sensitivity, respectively. The combination of SELDI-TOF-MS with bioinformatics tools could help find new biomarkers and establish the detection of EC with high sensitivity and specificity.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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