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Prediction of outcome in cancer patients with febrile neutropenia: A prospective validation of the Multinational Association for Supportive Care in Cancer risk index in a Chinese population and comparison with the Talcott model and artificial neural network Journal article
Supportive Care in Cancer, 2011,Volume: 19,Issue: 10,Page: 1625-1635
Authors:  Hui E.P.;  Leung L.K.S.;  Poon T.C.W.;  Mo F.;  Chan V.T.C.;  Ma A.T.W.;  Poon A.;  Hui E.K.;  Mak S.-S.;  Lai M.;  Lei K.I.K.;  Ma B.B.Y.;  Mok T.S.K.;  Yeo W.;  Zee B.C.Y.;  Chan A.T.C.
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Artificial neural networks  Discriminatory accuracy  Febrile neutropenia  Receiver-operating characteristics curve  Risk prediction model  
Study of serum haptoglobin and its glycoforms in the diagnosis of hepatocellular carcinoma: A glycoproteomic approach Journal article
Journal of Proteome Research, 2006,Volume: 5,Issue: 10,Page: 2691-2700
Authors:  Ang I.L.;  Poon T.C.W.;  Lai P.B.S.;  Chan A.T.C.;  Ngai S.-M.;  Hui A.Y.;  Johnson P.J.;  Sung J.J.Y.
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Haptoglobin  Glycoform  Sialylation  Fucosylation  Glycosylation  Hepatocellular Carcinoma  Diagnosis  
Correlation and prognostic significance of beta-galactoside alpha-2,6-sialyltransferase and serum monosialylated alpha-fetoprotein in hepatocellular carcinoma Journal article
World Journal of Gastroenterology, 2005,Volume: 11,Issue: 42,Page: 6701-6706
Authors:  Poon T.C.W.;  Chiu C.H.S.;  Lai P.B.S.;  Mok T.S.K.;  Zee B.;  Chan A.T.C.;  Sung J.J.Y.;  Johnson P.J.
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Alpha-fetoprotein  Beta-galactoside alpha-2,6-sialyltransferase  Cell differentiation  Hepatocellular carcinoma  Patient survival  
Comparison of protein expression patterns between hepatocellular carcinoma cell lines and a hepatoblastoma cell line Journal article
Clinical Proteomics, 2004,Volume: 1,Issue: 3-4,Page: 313-331
Authors:  Pang R.T.K.;  Poon T.C.W.;  Wong N.;  Lai P.B.S.;  Wong N.L.Y.;  Chan C.M.L.;  Yu J.W.S.;  Chan A.T.C.;  Sung J.J.Y.
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Cell line models  Hepatoblastoma  Hepatocellular carcinoma  Proteome  Two-dimensional polyacrylamide gel electrophoresis  
Technical evaluation of MALDI-TOF mass spectrometry for quantitative proteomic profiling: Matrix formulation and application Journal article
Clinical Proteomics, 2004,Volume: 1,Issue: 3-4,Page: 259-270
Authors:  Pang R.T.K.;  Johnson P.J.;  Chan C.M.L.;  Kong E.K.C.;  Chan A.T.C.;  Sung J.J.Y.;  Poon T.C.W.
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Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry  Nitrocellulose  Quantitative proteomics  Reproducibility  Variation  
Serum proteomic pattern for predicting recurrence of undifferentiated nasopharyngeal carcinoma after radiotherapy: A potential surrogate marker Journal article
Clinical Proteomics, 2004,Volume: 1,Issue: 3-4,Page: 365-373
Authors:  Poon T.C.W.;  Shuk M.C.;  Ma B.B.Y.;  Hui E.P.;  Chan A.T.C.
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Decision tree  Prognosis  ProteinChip array  SELDI-TOF MS  Survival  
Comprehensive proteomic profiling identifies serum proteomic signatures for detection of hepatocellular carcinoma and its subtypes Journal article
Clinical Chemistry, 2003,Volume: 49,Issue: 5,Page: 752-760
Authors:  Poon T.C.W.;  Yip T.-T.;  Chan A.T.C.;  Yip C.;  Yip V.;  Mok T.S.K.;  Lee C.C.Y.;  Leung T.W.T.;  Ho S.K.W.;  Johnson P.J.
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Quantification and utility of monosialylated α-fetoprotein in the diagnosis of hepatocellular carcinoma with nondiagnostic serum total-α-fetoprotein Journal article
Clinical Chemistry, 2002,Volume: 48,Issue: 7,Page: 1021-1027
Authors:  Poon T.C.W.;  Mok T.S.K.;  Chan A.T.C.;  Chan C.M.L.;  Leong V.;  Tsui S.H.T.;  Leung T.W.T.;  Wong H.T.M.;  Ho S.K.W.;  Johnson P.J.
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