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

http://doi.org/10.1631/jzus.B0710589


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.

@article{title="Proteiomic patterns for endometrial cancer using SELDI-TOF-MS",
author="Li-rong ZHU, Wen-ying ZHANG, Li YU, Yan-hua ZHENG, Jun HU, Qin-ping LIAO",
journal="Journal of Zhejiang University Science B",
volume="9",
number="4",
pages="286~290",
year="2008",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B0710589"
}

%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
%V 9
%N 4
%P 286~290
%@ 1673-1581
%D 2008
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B0710589

TY - JOUR
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
ER -
DOI - 10.1631/jzus.B0710589


Abstract: 
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

Reference

[1] Conrads, T.P., 2004. High-resolution serum proteomic features for ovarian cancer detection. Endocr. Relat. Cancer, 11(2):163-178.

[2] Ebert, M.P., Meuer, J., Wiemer, J.C., Schulz, H.U., Reymond, M.A., 2004. Identification of gastric cancer patients by serum protein profiling. J. Proteome Res., 3(6):1261-1266.

[3] Holland, J.H., 1994. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. MIT Press, Cambridge, MA.

[4] Hutchens, T.W., Yip, T.T., 1993. New desorption strategies for the mass spectrometric analysis of macromolecules. Rapid Commun. Mass Spectrom., 7(7):576-580.

[5] Kohonen, T., 1990. The self-organizing map. Proc. IEEE, 78(9):1464-1480.

[6] Li, J., Zhang, Z., Rosenzweig, J., Wang, Y.Y., Chan, D.W., 2002. Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer. Clin. Chem., 48(8):1296-1304.

[7] Liu, W.W., Guan, M., Wu, D., Zhang, Y., Wu, Z., Xu, M., Lu, Y., 2005. Using tree analysis pattern and SELDI-TOF- MS to discriminate transitional cell carcinoma of the bladder cancer from noncancer patients. Eur. Urol., 47(4):456-462.

[8] Schwegler, E.E., Cazares, L., Steel, L.F., Block, T.M., Marrero, J.A., Drake, R.R., 2005. SELDI-TOF MS profiling of serum for detection of the progression of chronic hepatitis C to hepatocellular carcinoma. Hepatology, 41(3):634-642.

[9] Wulfkuhle, J.D., Liotta, L.A., Petricoin, E.F., 2003. Proteomic applications for the early detection of cancer. Nat. Rev., 3(4):267.

[10] Yang, E.C., Guo, J., Diehl, G., DeSouza, L., Rodrigues, M.J., Romaschin, A.D., Colgan, T.J., Siu, K.W., 2004. Protein expression profiling of endometrial malignancies reveals a new tumor marker: Chaperonin 10. J. Proteome Res., 3(3):636-643.

[11] Yang, S.Y., Xiao, X.Y., Zhang, W.G., Sun, X.Z., Zhang, L.J., Zhang, W., Zhou, B., Yang, D.C., He, D.C., 2005. Application of serum SELDI proteomic patterns in diagnosis of lung cancer. BMC Cancer, 5(1):83.

[12] Yoshizaki, T., Enomoto, T., Nakashima, R., Ueda, Y., Kanao, H., Yoshino, K., Fukumoto, M., Yoneda, Y., Buzard, G.S., 2005. Altered protein expression in endometrial carcinogenesis. Cancer Lett., 226(2):101-106.

[13] Yu, J.K., Zheng, S., Tang, Y., Li, L., 2005. An integrated approach utilizing proteomics and bioinformatics to detect ovarian cancer. J. Zhejiang Univ. Sci. B, 6(4):227-231.

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