Literature DB >> 30882158

Prognostic Value of Platelet Counts in Patients with Metastatic Prostate Cancer Treated with Endocrine Therapy.

Kenji Shimodaira1, Jun Nakashima2, Yoshihiro Nakagami2, Yosuke Hirasawa2, Takeshi Hashimoto2, Naoya Satake2, Tatsuo Gondo2, Kazunori Namiki2, Makoto Ohori2, Yoshio Ohno2.   

Abstract

PURPOSE: The endocrine therapy is effective for patients with advanced prostate cancer, but the disease eventually becomes refractory to treatment. The aim of this study was to investigate prognostic factors and to develop a risk stratification model for survival in patients with advanced prostate cancer undergoing endocrine therapy.
MATERIALS AND METHODS: This study included 197 patients with stage IV prostate cancer who were treated with endocrine therapy as primary treatment at Tokyo Medical University, Tokyo, Japan, between January 1999 and November 2012. Prognostic values including baseline clinical laboratory values before endocrine therapy for stage IV prostate cancer were examined. Patients (n = 30) who were not followed or for whom data were unavailable or who were treated with radiotherapy were excluded from the study. Excluding these patients, we retrospectively analyzed 167 patients who were treated with endocrine therapy as the primary treatment. Disease-specific survival (DSS) was evaluated using the Kaplan-Meier method, and prognostic factors were identified using the Cox proportional hazard model analysis.
RESULTS: In univariate analyses, patients with a performance status (PS) ? 2, platelet count ? 3.0× 105 µ/L, prostate specific antigen (PSA) > 50 ng/mL, alkaline phosphatase (ALP) > 350 U/L, lactate dehydrogenase (LDH) > 240 IU/L, and Gleason score (GS) ? 8, hemoglobin (Hb) < 12 g/dL, extent of disease (EOD) ? 3 and poorly differentiated adenocarcinoma showed significantly lower DSS than their respective counterparts. Neutrophil-to-Lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and white blood cell (WBC) count were not significantly associated with DSS. In a multivariate Cox proportional hazard model, PS and platelet count were independent prognostic factors. Based on the hazard rate (HR) calculated by the following formula: HR = exp (0.82 × PS + 1.38 × platelet count) patients were stratified into 3 risk groups. The differences in DSS rates among the 3 groups were statistically significant.
CONCLUSION: These results suggest that PS and platelet count are independent prognostic factors and that a combination of these factors can be used to stratify metastatic prostate cancer patients treated with endocrine therapy according to their DSS risk.

Entities:  

Year:  2020        PMID: 30882158     DOI: 10.22037/uj.v0i0.4735

Source DB:  PubMed          Journal:  Urol J        ISSN: 1735-1308            Impact factor:   1.510


  6 in total

1.  The Correlation Between Platelet Count and Survival in Prostate Cancer.

Authors:  Tünde Mezei; Imre Bőde; Péter Tenke; Valéria Jósa; Keresztély Merkel; Zsuzsanna Szilasi; Attila Tordai; Domokos Máthé; Zsolt Baranyai
Journal:  Res Rep Urol       Date:  2022-05-06

2.  Analysis of Clinical Trials on Therapies for Prostate Cancer in Mainland China and Globally from 2010 to 2020.

Authors:  Kun Chen; Kehua Jiang; Lannan Tang; Xiaolong Chen; Jianxin Hu; Fa Sun
Journal:  Front Oncol       Date:  2021-05-12       Impact factor: 6.244

3.  Prognostic value of alkaline phosphatase in hormone-sensitive prostate cancer: a systematic review and meta-analysis.

Authors:  Keiichiro Mori; Florian Janisch; Mehdi Kardoust Parizi; Hadi Mostafaei; Ivan Lysenko; Dmitry V Enikeev; Shoji Kimura; Shin Egawa; Shahrokh F Shariat
Journal:  Int J Clin Oncol       Date:  2019-11-25       Impact factor: 3.402

Review 4.  Association between lactate dehydrogenase levels and oncologic outcomes in metastatic prostate cancer: A meta-analysis.

Authors:  Fan Li; Hui Xiang; Zisen Pang; Zejia Chen; Jinlong Dai; Shu Chen; Bin Xu; Tianyu Zhang
Journal:  Cancer Med       Date:  2020-05-26       Impact factor: 4.452

5.  Diagnostic and prognostic factors in patients with prostate cancer: a systematic review.

Authors:  Katharina Beyer; Lisa Moris; Michael Lardas; Anna Haire; Francesco Barletta; Simone Scuderi; Megan Molnar; Ronald Herrera; Abdul Rauf; Riccardo Campi; Isabella Greco; Kirill Shiranov; Saeed Dabestani; Thomas van den Broeck; Sujenthiran Arun; Mauro Gacci; Giorgio Gandaglia; Muhammad Imran Omar; Steven MacLennan; Monique J Roobol; Bahman Farahmand; Eleni Vradi; Zsuzsanna Devecseri; Alex Asiimwe; Jihong Zong; Sara J Maclennan; Laurence Collette; James NDow; Alberto Briganti; Anders Bjartell; Mieke Van Hemelrijck
Journal:  BMJ Open       Date:  2022-04-04       Impact factor: 2.692

Review 6.  Platelets: The Emerging Clinical Diagnostics and Therapy Selection of Cancer Liquid Biopsies.

Authors:  Yiming Meng; Jing Sun; Yang Zheng; Guirong Zhang; Tao Yu; Haozhe Piao
Journal:  Onco Targets Ther       Date:  2021-05-25       Impact factor: 4.147

  6 in total

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