Abstract
This study aimed to identify the predictive factors associated with the oncological outcomes of metastatic hormone-sensitive prostate cancer-related genes. A nomogram for predicting prostate cancer-specific survival (CSS) was constructed based on biopsy samples obtained from 103 patients with metastatic hormone-sensitive prostate cancer. We analyzed the association between clinical data and mRNA expression levels. The nomogram was externally validated in another cohort (n = 50) by using a concordance index. Based on the cutoff value, determined by a receiver operating characteristic analysis, longer CSS was observed in the high osteoglycin and androgen receptor expression level groups (> 1.133 and > 0.00; median CSS, 85.3 vs. 52.7 months, p = 0.045, and 69.1 vs. 32.1 months, p = 0.034, respectively), compared with that of the low expression level groups. The nomogram predicting CSS included hemoglobin (≥ 13.7 g/dL or < 13.7 g/dL), serum albumin (≥ 3.1 g/dL or < 3.1 g/dL), serum lactate dehydrogenase (≥ 222 IU/L or < 222 IU/L), total Japan Cancer of the Prostate Risk Assessment score, androgen receptor expression level, and osteoglycin expression level. The concordance indices for the internal and external validations were 0.664 and 0.798, respectively. In this study, a nomogram that integrated the expression levels of androgen receptors and osteoglycin to predict CSS in metastatic hormone-sensitive prostate cancer was established.