A validated prognostic index predicting response to dexamethasone and diethylstilbestrol in castrate-resistant prostate cancer.
retrospective_cohort · Level III
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- Record sourced from PubMed, PMID 20564115.
- Also identified by DOI 10.1002/cncr.25194.
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Abstract
The objective of this study was to identify subgroups of patients with castrate-resistant prostate cancer (CRPC) who had a prolonged response to combined dexamethasone and diethylstilbestrol (DS) therapy by constructing a prognostic index. Multivariate and cutoff point analyses with bootstrapping were performed 1 month after commencing DS therapy, and data were validated using an independent external dataset. The median overall survival for 145 patients was 18.3 months (95% confidence interval [CI], 15.4-23.3 months). Only 2 factors were significant on multivariate analysis: a prostate-specific antigen (PSA) level below the median at the start of DS therapy and a decline>50% in the PSA level after 1 month on DS therapy. Subsequent cutoff point analyses revealed that a PSA level<88 ng/mL at the start of DS therapy and a reduction>53.1% in PSA after the first month of treatment were the most significant factors. These 2 factors were used to construct a prognostic index, which was validated successfully by the external dataset (median overall survival, 18.3 months [95% CI, 16.4-28.0 months]; concordance, 72% [95% CI, 68%-76%]). The prognostic index identified 3 prognostic groups: The 2-year overall survival rate for these 3 groups was 68% (95% CI, 57%-98%) for the good prognostic group, 40% (95% CI, 31%-52%) for the intermediate prognostic group, and 12% (95% CI, 5%-25%) for the poor prognostic group. The easy-to-use prognostic index that the authors developed was able to identify a subgroup of patients with CRPC who had prolonged survival only 1 month after starting DS therapy.
Medical subject headings
- Androgen Antagonists
- Antineoplastic Agents, Hormonal
- Antineoplastic Combined Chemotherapy Protocols
- Dexamethasone
- Diethylstilbestrol
- Prostatic Neoplasms