Literature DB >> 27323113

Serum levels of PSA, ALP, ICTP, and BSP in prostate cancer patients and the significance of ROC curve in the diagnosis of prostate cancer bone metastases.

R J Wei1, T Y Li2, X C Yang1, N Jia1, X L Yang3, H B Song4.   

Abstract

Bone metastasis is a common complication in prostate cancer patients that can cause bone pain and pathological fracture. This study tested serum levels of prostate specific antigen (PSA), alkaline phosphatase (ALP), bone sialoprotein (BSP), collagen type I pyridine crosslinking peptide (ICTP) in prostate cancer patients and the significance of the receiver operator characteristic (ROC) curve in the diagnosis of prostate cancer bone metastases. Eighty-three prostate cancer patients were enrolled including 42 in the bone metastases group and 41 in the non-bone metastases group. Serum levels of BSP, ALP, ICTP, and PSA were highest in the bone metastases group followed by the non-bone metastases group, hyperplasia group, and then the control group (P < 0.05). Based on Gleason score, serum levels were highest in the poorly differentiated group followed by moderately differentiated and well-differentiated groups (P < 0.05). ROC curve analysis revealed that the diagnostic efficiency of the biomarkers in turn was BSP, PSA, ICTP, and ALP. The sensitivity of BSP, ALP, ICTP, and PSA in the diagnosis of prostate cancer bone metastases were 80.95, 57.14, 69.05, 71.43%, respectively, and the specificity of the same markers were 72.80, 64.80, 76.80, and 88.80%, respectively. Combined detection of the four markers improved sensitivity to 97.62% and the negative-predictive value increased to 97.60%. PSA + BSP showed the best efficiency when combining two markers. In conclusion, serum levels of BSP, ALP, ICTP, and PSA increased in patients with bone metastases, and combined detection of all markers could improve the positive-predictive value.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27323113     DOI: 10.4238/gmr.15027707

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  6 in total

1.  A simple prognostic model involving prostate-specific antigen, alkaline phosphatase and albumin for predicting the time required to progress to castration-resistant prostate cancer in patients who received androgen deprivation therapy.

Authors:  Wei Lv; Hongxiang Shang; Xinqi Pei; Yule Chen; Hongjun Xie; Dalin He; Xinyang Wang; Lei Li
Journal:  Int Urol Nephrol       Date:  2016-11-11       Impact factor: 2.370

2.  SB225002 inhibits prostate cancer invasion and attenuates the expression of BSP, OPN and MMP‑2.

Authors:  Meng Xu; Huamao Jiang; Haiguang Wang; Jiajie Liu; Baohao Liu; Zhongqiang Guo
Journal:  Oncol Rep       Date:  2018-06-18       Impact factor: 3.906

3.  Prostate-specific antigen modulates the osteogenic differentiation of MSCs via the cadherin 11-Akt axis.

Authors:  Longxiang Wu; Shiqi Xiang; Xiheng Hu; Miao Mo; Cheng Zhao; Yi Cai; Shiyu Tong; Huichuan Jiang; Linxiao Chen; Zhi Wang; Wei Xiong; Zhenyu Ou
Journal:  Clin Transl Med       Date:  2020-01

4.  Survival Analysis and a Novel Nomogram Model for Progression-Free Survival in Patients with Prostate Cancer.

Authors:  Yuefu Han; Xingqiao Wen; Dong Chen; Xiaojuan Li; Qu Leng; Yuehui Wen; Jun Li; Weian Zhu
Journal:  J Oncol       Date:  2022-03-22       Impact factor: 4.375

5.  False Positive Findings of [18F]PSMA-1007 PET/CT in Patients After Radical Prostatectomy with Undetectable Serum PSA Levels.

Authors:  Marina Orevi; Simona Ben-Haim; Galith Abourbeh; Alexandre Chicheportiche; Eyal Mishani; Vladimir Yutkin; Ofer N Gofrit
Journal:  Front Surg       Date:  2022-06-24

6.  High uric acid (UA) downregulates bone alkaline phosphatase (BALP) expression through inhibition of its promoter activity.

Authors:  Zhi-Qi Wu; Xiao-Ting Chen; Yan-Yan Xu; Ming-Jie Tian; Hai-Yan Chen; Guo-Ping Zhou; Hua-Guo Xu
Journal:  Oncotarget       Date:  2017-09-20
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.