Literature DB >> 22126493

Metastasis on bone scan with low prostate specific antigen (≤20 ng/ml) and Gleason's score (<8) in newly diagnosed Pakistani males with prostate cancer: should we follow Western guidelines?

Maseeh Uz Zaman1, Nosheen Fatima, Zafar Sajjad.   

Abstract

AIM: To find out diagnostic correlation of prostate specific antigen (PSA) and Gleason' s score (GS) with bone metastasis (BM) in newly diagnosed prostate cancer (PC) patients in Pakistan.
MATERIALS AND METHODS: This retrospective study included 204 newly diagnosed PC patients who were referred for BS for staging.
RESULTS: The mean age, mean PSA and incidence of BM on BS were 71±09 years, 111.0±58.5 ng/ml and 67/204 (33%), respectively. The mean GS of the studied population was 7±1. According to PSA levels, patients were divided into 5 groups: <10 ng/ml (77/204), >10-≤20 ng/ml (4/204), >20-≤50 ng/ml (22/204), >50-≤100 (25/204) and >100 ng/ml (38/204). The incidence of positive BS (%) for BM and mean GS (score ±SD) for each group were 14%, 7±1; 10%, 6±1; 32%, 7±1; 56%, 8∓1 and 82%, 8±1 respectively (significant p value). PSA and GS were statistically significant predictors of BM on BS and their predictive value was additive (p<0.0001). Age was not a predictive factor (non-significant p value). Sensitivity and specificity of PSA at a cut-off 48 ng/ml were 68.3% and 86.1% respectively, while GS at a cut-off>6 was more sensitive (88.9%) and less specific (56.2%) for diagnosing BM.
CONCLUSIONS: (1) There is an overall increased incidence of BM in newly diagnosed patients with PC and even at serum PSA level≤20 ng/ml and GS<8; (2) PSA and GS are independent predictors for BM but age is not; (3) in view of possible aggressive behavior of PC in local population, one must be careful in adopting Western guidelines for using BS in newly diagnosed Asian males with PC having PSA≤20 ng/ml and GS <8.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22126493

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  8 in total

1.  Toward better use of bone scans among men with early-stage prostate cancer.

Authors:  Selin Merdan; Paul R Womble; David C Miller; Christine Barnett; Zaojun Ye; Susan M Linsell; James E Montie; Brian T Denton
Journal:  Urology       Date:  2014-08-02       Impact factor: 2.649

2.  Application of bone scans for prostate cancer staging: Which guideline shows better result?

Authors:  Ari Chong; Insang Hwang; Jung-Min Ha; Seong Hyeon Yu; Eu Chang Hwang; Ho Song Yu; Sun Ouck Kim; Seung-Il Jung; Taek Won Kang; Dong Deuk Kwon; Kwangsung Park
Journal:  Can Urol Assoc J       Date:  2014-07       Impact factor: 1.862

3.  When to perform bone scintigraphy in patients with newly diagnosed prostate cancer? a retrospective study.

Authors:  Yiwei Lin; Qiqi Mao; Bin Chen; Liujiang Wang; Ben Liu; Xiangyi Zheng; Liping Xie
Journal:  BMC Urol       Date:  2017-06-12       Impact factor: 2.264

4.  Associations of Prostate-Specific Antigen, Prostate Carcinoma Tissue Gleason Score, and Androgen Receptor Expression with Bone Metastasis in Patients with Prostate Carcinoma.

Authors:  Yehui Chen; Yun Lin; Pin Nie; Wen Jiang; Yanqing Liu; Runqiang Yuan; Miaoyuan Li; Shijia Zhao; Huaxin Lin; Penghui Li; Jinxiang Zhang; Zhiwen Hu; Jin Xu; Xusheng Zhu
Journal:  Med Sci Monit       Date:  2017-04-12

5.  The homogeneous and heterogeneous risk factors for the morbidity and prognosis of bone metastasis in patients with prostate cancer.

Authors:  Xu Guo; Chao Zhang; Qi Guo; Yao Xu; Guowei Feng; Lili Li; Xiuxin Han; Feng Lu; Yulin Ma; Xin Wang; Guowen Wang
Journal:  Cancer Manag Res       Date:  2018-06-22       Impact factor: 3.989

6.  Determination of the optimal cut-off value of serum prostate-specific antigen in the prediction of skeletal metastases on technetium-99m whole-body bone scan by receiver operating characteristic curve analysis.

Authors:  P Ram Manohar; Tanveer Ahmed Rather; Shoukat H Khan
Journal:  World J Nucl Med       Date:  2020-07-01

7.  Establishment and validation of a novel predictive model to quantify the risk of bone metastasis in patients with prostate cancer.

Authors:  Yu-Jie Lu; Wei-Ming Duan
Journal:  Transl Androl Urol       Date:  2021-01

8.  Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer.

Authors:  Wen-Cai Liu; Ming-Xuan Li; Wen-Xing Qian; Zhi-Wen Luo; Wei-Jie Liao; Zhi-Li Liu; Jia-Ming Liu
Journal:  Cancer Manag Res       Date:  2021-11-23       Impact factor: 3.989

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.