Epidermal Growth Factor-Containing Fibulin-Like Extracellular Matrix Protein 1 (EFEMP1) Acts as a Potential Diagnostic Biomarker for Prostate Cancer.

Abstract:

:BACKGROUND The aim of this study was to detect the expression of epidermal growth factor-containing fibulin-like extracellular matrix protein 1 (EFEMP1) and estimate its diagnostic value in prostate cancer (PCa). MATERIAL AND METHODS EFEMP1 expression in serum and urine of patients with PCa, benign controls and healthy controls at mRNA and protein level were measured by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA) analysis, respectively. The chi-square test was used to analyze the relationship between EFEMP1 expression and clinical factors of patients with PCa. A receiver operating characteristic (ROC) curve was established to evaluate the potential values of EFEMP1 for the diagnosis of PCa. RESULTS The relative expression of EFEMP1 was significantly decreased in patients with PCa compared with that in the benign controls and healthy individuals, both at mRNA and protein levels (P<0.05). In the postoperative serum, the EFEMP1 expression was significantly higher than that in preoperative serum at 2 levels. Urine EFEMP1 expression was also down-regulated in patients with PCa compared to that in the other 2 control groups. The low expression of EFEMP1 was obviously affected by Gleason's score, serum PSA, pathological stage, and lymph node metastasis. Moreover, there was a significant inverse correlation between EFEMP1 expression and PSA levels. The ROC curve revealed that EFEMP1 distinguished PCa patients from healthy controls, with a high AUC of 0.908, corresponding with high sensitivity and specificity, which was significantly higher than the PSA value. CONCLUSIONS Serum EFEMP1 is down-regulated and involved in the progression of PCa. It may serve as a useful diagnostic biomarker, with better diagnostic accuracy than PSA in PCa.

journal_name

Med Sci Monit

authors

Shen H,Zhang L,Zhou J,Chen Z,Yang G,Liao Y,Zhu M

doi

10.12659/msm.898809

subject

Has Abstract

pub_date

2017-01-13 00:00:00

pages

216-222

eissn

1234-1010

issn

1643-3750

pii

898809

journal_volume

23

pub_type

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