Yangzhou Liu1, Shankun Zhao1, Jiamin Wang1, Zhiguo Zhu1, Lianmin Luo1, Ermao Li2, Fucai Tang1, Zhigang Zhao3. 1. Department of Urology and Andrology, Minimally Invasive Surgery Center, Guangdong Provincial Key Laboratory of Urology, The First Affiliated Hospital of GuangZhou Medical University, Guangzhou, China. 2. Research Lab for Clinical and Translational Medicine, Medical School, University of South China, Hengyang, China. 3. Department of Urology and Andrology, Minimally Invasive Surgery Center, Guangdong Provincial Key Laboratory of Urology, The First Affiliated Hospital of GuangZhou Medical University, Guangzhou, China, zgzhaodr@126.com.
Abstract
PURPOSE: To evaluate whether serum neuroendocrine markers could effectively predict treatment outcomes in patients with metastatic castration-resistant prostate cancer (mCRPC). METHODS: The PubMed, Cochrane Library and Embase databases were sought to identify eligible studies concerning serum neuroendocrine markers and the prognosis of post-treatment mCRPC from inception to April 2018. The association between serum neuroendocrine markers, that is, chromogranin A (CgA) and neurone-specific enolase (NSE), levels and the prognosis of post-treatment mCRPC were summarized using a random-effects model and hazard ratio (HR) with 95% CI Sensitivity analyses were conducted to assess potential bias. RESULTS: A total of 234 participants are included in this meta-analysis (mean age = 71.3 years) from 6 studies. The pooled results show that higher markers' levels at baseline in patients were associated with unfavorable overall survival (OS; univariate analysis: HR 3.775, 95% CI 1.469-9.698, p = 0.006; multivariate analysis: HR 3.838, 95% CI 1.774-8.304, p = 0.001), and a similar situation was observed in progression-free survival (PFS; univariate analysis: HR 2.785, 95% CI 1.315-5.898, p = 0.007; multivariate analysis: HR 1.266, 95% CI 1.017-1.577, p = 0.035). Estimates of the total effects were generally consistent in the sensitivity analysis. Publication bias was observed when performing the univariate analysis of PFS, and we have the explanation accordingly. CONCLUSIONS: The results of this pooled analysis confirm serum neuroendocrine markers could be the effective predictor of treatment outcome in patients with mCRPC. In addition, a combination of CgA and NSE is more valuable to predict worse OS. Further randomized case-control trials are required to validate this relationship.
PURPOSE: To evaluate whether serum neuroendocrine markers could effectively predict treatment outcomes in patients with metastatic castration-resistant prostate cancer (mCRPC). METHODS: The PubMed, Cochrane Library and Embase databases were sought to identify eligible studies concerning serum neuroendocrine markers and the prognosis of post-treatment mCRPC from inception to April 2018. The association between serum neuroendocrine markers, that is, chromogranin A (CgA) and neurone-specific enolase (NSE), levels and the prognosis of post-treatment mCRPC were summarized using a random-effects model and hazard ratio (HR) with 95% CI Sensitivity analyses were conducted to assess potential bias. RESULTS: A total of 234 participants are included in this meta-analysis (mean age = 71.3 years) from 6 studies. The pooled results show that higher markers' levels at baseline in patients were associated with unfavorable overall survival (OS; univariate analysis: HR 3.775, 95% CI 1.469-9.698, p = 0.006; multivariate analysis: HR 3.838, 95% CI 1.774-8.304, p = 0.001), and a similar situation was observed in progression-free survival (PFS; univariate analysis: HR 2.785, 95% CI 1.315-5.898, p = 0.007; multivariate analysis: HR 1.266, 95% CI 1.017-1.577, p = 0.035). Estimates of the total effects were generally consistent in the sensitivity analysis. Publication bias was observed when performing the univariate analysis of PFS, and we have the explanation accordingly. CONCLUSIONS: The results of this pooled analysis confirm serum neuroendocrine markers could be the effective predictor of treatment outcome in patients with mCRPC. In addition, a combination of CgA and NSE is more valuable to predict worse OS. Further randomized case-control trials are required to validate this relationship.
Authors: Jatinder Kumar; Muhammad Umar Alam; Seyed Behzad Jazayeri; Karthik Tanneru; Soroush Bazargani; Charu Shastri; Shiva Gautam; Shahriar Koochekpour; Sanjeev Shukla; Mark Bandyk; Joseph Costa; K C Balaji Journal: Indian J Urol Date: 2022-07-01
Authors: Juho Jasu; Teemu Tolonen; Emmanuel S Antonarakis; Himisha Beltran; Susan Halabi; Mario A Eisenberger; Michael A Carducci; Yohann Loriot; Kim Van der Eecken; Martijn Lolkema; Charles J Ryan; Sinja Taavitsainen; Silke Gillessen; Gunilla Högnäs; Timo Talvitie; Robert J Taylor; Antti Koskenalho; Piet Ost; Teemu J Murtola; Irina Rinta-Kiikka; Teuvo Tammela; Anssi Auvinen; Paula Kujala; Thomas J Smith; Pirkko-Liisa Kellokumpu-Lehtinen; William B Isaacs; Matti Nykter; Juha Kesseli; G Steven Bova Journal: Eur Urol Open Sci Date: 2021-07-02