期刊论文详细信息
Frontiers in Medicine
Effective Diagnosis of Prostate Cancer Based on mRNAs From Urinary Exosomes
article
Jiahua Gan1  Xing Zeng1  Xiong Wang2  Ya Wu3  Ping Lei4  Zhihua Wang1  Chunguang Yang1  Zhiquan Hu1 
[1] Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology;Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology;Wuhan YZY Medical Science and Technology Co., Ltd.;Department of Immunology, Tongji Medical College, Huazhong University of Science and Technology
关键词: prostate cancer;    diagnosis;    prognosis;    biomarker;    urinary exosome;    PSA;   
DOI  :  10.3389/fmed.2022.736110
学科分类:社会科学、人文和艺术(综合)
来源: Frontiers
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【 摘 要 】

Background Novel non-invasive biomarkers are urgently required to improve the diagnostic sensitivity and specificity of prostate cancer (PCa). Therefore, the diagnostic value of following candidate genes (ERG, PCA3, ARV7, PSMA, CK19, and EpCAM) were estimated by testing mRNAs from urinary exosomes of patients with primary PCa. Methods Exosomes were obtained using size-exclusion chromatography (SEC), out of which RNAs were extracted, then analyzed by quantitative reverse transcription-polymerase chain reaction according to manufacturer’s protocol. Results The expression of urinary exosomal ERG, PCA3, PSMA, CK19, and EpCAM were significantly increased in patients with PCa compared with healthy males. In addition, the levels of urinary exosomal ERG, ARV7, and PSMA were intimately correlated with the Gleason score in PCa patients ( P < 0.05). The receiver operating characteristic curves (ROCs) showed that urinary exosomal ERG, PCA3, PSMA, CK19, and EpCAM were able to distinguish patients with PCa from healthy individuals with the area under the curve (AUC) of 0.782, 0.783, 0.772, 0.731, and 0.739, respectively. Urinary exosomal PCA3 and PSMA distinguished PCa patients from healthy individuals with an AUC of 0.870. Combination of urinary exosomal PCA3, PSMA with serum PSA and PI-RADS achieved higher AUC compared with PSA alone (0.914 and 0.846, respectively). Kaplan-Meier curves demonstrated that PCA3, ARV7, and EpCAM were associated in androgen-deprivation therapy (ADT) failure time which is defined as from the initiation of ADT in hormone-sensitive stage to the development of castration-resistant prostate cancer. Conclusion These findings suggested that mRNAs from urinary exosomes have the potential in serving as novel and non-invasive indicators for PCa diagnosis and prediction.

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