Evaluation of biomarkers of survival response in hormone-refractory prostate cancer patients treated with suramin.

Publication Type
Journal Article
Year of Publication
1998
Authors
Sridhara, R; Eisenberger, M A; Sinibaldi, V J; Reyno, L M; Egorin, M J
Secondary
Cancer Epidemiol Biomarkers Prev
Volume
7
Pagination
631-4
Date Published
1998 Jul
Keywords
Acid Phosphatase; Adult; Aged; Aged, 80 and over; Analysis of Variance; Antineoplastic Agents; Biomarkers, Tumor; Hemoglobin A; Humans; L-Lactate Dehydrogenase; Male; Middle Aged; Proportional Hazards Models; Prostate-Specific Antigen; prostatic neoplasms; Suramin
Abstract

Hormone-refractory prostate cancer (HRPC) patients often have nonmeasurable disease. In such patients, predictive biomarkers other than tumor response may be required to compare therapeutic effects. We examined the predictive value for survival of various clinical and laboratory parameters, including prostate-specific antigen (PSA), in HRPC patients treated with suramin. Data from 103 HRPC patients were analyzed using various survival analyses, the likelihood ratio approach, and logistic regression analyses. When pretreatment factors, percentage decrease in PSA at 4 weeks from start of treatment (deltaPSA), and updated survival data were fit by a multivariate Cox proportional hazards model, acid phosphatase, lactate dehydrogenase, and deltaPSA were significant, with risk ratios close to 1. There was a decrease in likelihood ratio with increasing APSA. A logistic regression model was developed to predict the probability of <1 year of survival from the start of treatment. Hemoglobin and deltaPSA were found to be significant variables. However, in view of the complexities involving the relationship between PSA expression and prostate cancer growth and possible selective effect of treatment on PSA, further prospective testing is necessary. Therefore, deltaPSA cannot necessarily be used as a biomarker for survival response in individual patients during the evaluation of the therapeutic response of HRPC to new antineoplastic drugs.