Daniel W. Chan

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.

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.

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.

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.

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.