D
Daniel W. Chan
Researcher at Hong Kong Polytechnic University
Publications - 707
Citations - 47988
Daniel W. Chan is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Cancer & Prostate cancer. The author has an hindex of 106, co-authored 663 publications receiving 41915 citations. Previous affiliations of Daniel W. Chan include Merck & Co. & Charité.
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Journal ArticleDOI
Natural history of progression after PSA elevation following radical prostatectomy.
Charles R. Pound,Alan W. Partin,Mario A. Eisenberger,Daniel W. Chan,Jay D. Pearson,Patrick C. Walsh +5 more
TL;DR: Several clinical parameters help predict the outcomes of men with PSA elevation after radical prostatectomy, and these data may be useful in the design of clinical trials, the identification of men for enrollment into experimental protocols, and counseling men regarding the timing of administration of adjuvant therapies.
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The Use of Prostate Specific Antigen, Clinical Stage and Gleason Score to Predict Pathological Stage in Men with Localized Prostate Cancer
Alan W. Partin,John Yoo,H. Ballentine Carter,Jay D. Pearson,Daniel W. Chan,Jonathan I. Epstein,Patrick C. Walsh +6 more
TL;DR: From these analyses probability plots and nomograms have been constructed to assist urologists in the preoperative prediction of final pathological stage for patients with clinically localized prostate cancer.
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Longitudinal evaluation of prostate-specific antigen levels in men with and without prostate disease.
H. Ballentine Carter,Jay D. Pearson,E. Jeffrey Metter,Larry J. Brant,Larry J. Brant,Daniel W. Chan,Reubin Andres,Reubin Andres,James L. Fozard,Patrick C. Walsh +9 more
TL;DR: The most significant factor affecting serum PSA levels with age is the development of prostate disease, and rate of change in PSALevels may be a sensitive and specific early clinical marker for theDevelopment of prostate cancer.
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Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer
Zhen Zhang,Robert C. Bast,Yinhua Yu,Jinong Li,Lori J. Sokoll,Alex J. Rai,Jason M. Rosenzweig,Bonnie Cameron,Young Y. Wang,Xiao Ying Meng,Andrew Berchuck,Carolien van Haaften-Day,Neville F. Hacker,Henk W.A. de Bruijn,Ate G.J. van der Zee,Ian Jacobs,Eric T. Fung,Daniel W. Chan +17 more
TL;DR: These biomarkers demonstrated the potential to improve the detection of early stage ovarian cancer by demonstrating the sensitivity and specificity of a multivariate model combining the three biomarkers.
Journal ArticleDOI
Proteomics and Bioinformatics Approaches for Identification of Serum Biomarkers to Detect Breast Cancer
TL;DR: Proteomics approaches such as SELDI mass spectrometry, in conjunction with bioinformatics tools, could greatly facilitate the discovery of new and better biomarkers and show great potential for the early detection of breast cancer.