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Received: 2004-07-20

Revision Accepted: 2004-08-24

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Journal of Zhejiang University SCIENCE B 2005 Vol.6 No.1 P.4~10

10.1631/jzus.2005.B0004


Serum protein fingerprinting coupled with artificial neural network distinguishes glioma from healthy population or brain benign tumor


Author(s):  LIU Jian, ZHENG Shu, YU Jie-kai, ZHANG Jian-min, CHEN Zhe

Affiliation(s):  Cancer Institute, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China; more

Corresponding email(s):   zhengshu@mail.hz.zj.cn

Key Words:  Astrocytoma, Artificial Neural Network (ANN), SELDI-TOF-MS, Protein fingerprint, Diagnosis


LIU Jian, ZHENG Shu, YU Jie-kai, ZHANG Jian-min, CHEN Zhe. Serum protein fingerprinting coupled with artificial neural network distinguishes glioma from healthy population or brain benign tumor[J]. Journal of Zhejiang University Science B, 2005, 6(2): 4~10.

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author="LIU Jian, ZHENG Shu, YU Jie-kai, ZHANG Jian-min, CHEN Zhe",
journal="Journal of Zhejiang University Science B",
volume="6",
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pages="4~10",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.B0004"
}

%0 Journal Article
%T Serum protein fingerprinting coupled with artificial neural network distinguishes glioma from healthy population or brain benign tumor
%A LIU Jian
%A ZHENG Shu
%A YU Jie-kai
%A ZHANG Jian-min
%A CHEN Zhe
%J Journal of Zhejiang University SCIENCE B
%V 6
%N 1
%P 4~10
%@ 1673-1581
%D 2005
%I Zhejiang University Press & Springer

TY - JOUR
T1 - Serum protein fingerprinting coupled with artificial neural network distinguishes glioma from healthy population or brain benign tumor
A1 - LIU Jian
A1 - ZHENG Shu
A1 - YU Jie-kai
A1 - ZHANG Jian-min
A1 - CHEN Zhe
J0 - Journal of Zhejiang University Science B
VL - 6
IS - 1
SP - 4
EP - 10
%@ 1673-1581
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -


Abstract: 
To screen and evaluate protein biomarkers for the detection of gliomas (astrocytoma grade I-IV) from healthy individuals and gliomas from brain benign tumors by using surface enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF-MS) coupled with an artificial Neural Network (ANN) algorithm. SELDI-TOF-MS protein fingerprinting of serum from 105 brain tumor patients and healthy individuals, included 28 patients with glioma (astrocytoma I-IV), 37 patients with brain benign tumor, and 40 age-matched healthy individuals. Two thirds of the total samples of every compared pair as training set were used to set up discriminating patterns, and one third of total samples of every compared pair as test set were used to cross-validate; simultaneously, discriminate-cluster analysis derived SPSS 10.0 software was used to compare astrocytoma grade I-II with grade III-IV ones. An accuracy of 95.7%, sensitivity of 88.9%, specificity of 100%, positive predictive value of 90% and negative predictive value of 100% were obtained in a blinded test set comparing gliomas patients with healthy individuals; an accuracy of 86.4%, sensitivity of 88.9%, specificity of 84.6%, positive predictive value of 90% and negative predictive value of 85.7% were obtained when patient’s gliomas was compared with benign brain tumor. Total accuracy of 85.7%, accuracy of grade I-II astrocytoma was 86.7%, accuracy of III-IV astrocytoma was 84.6% were obtained when grade I-II astrocytoma was compared with grade III-IV ones (discriminant analysis). SELDI-TOF-MS combined with bioinformatics tools, could greatly facilitate the discovery of better biomarkers. The high sensitivity and specificity achieved by the use of selected biomarkers showed great potential application for the discrimination of gliomas patients from healthy individuals and gliomas from brain benign tumors.

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

Reference

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