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Expression of miR-30c and miR-29b in prostate cancer and its diagnostic significance

This study aimed to investigate the expression of miR-30c and miR-29b in prostate cancer (PCa) and its clinical significance. The expression of miR-30c and miR-29b was detected by RT-qPCR in 187 cases of PCa and their adjacent tissues. Combined with clinical information, the correlation between the...

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Detalles Bibliográficos
Autores principales: Zhu, Chuanan, Hou, Xiumei, Zhu, Jiabin, Jiang, Chunxiao, Wei, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096223/
https://www.ncbi.nlm.nih.gov/pubmed/30127906
http://dx.doi.org/10.3892/ol.2018.9007
Descripción
Sumario:This study aimed to investigate the expression of miR-30c and miR-29b in prostate cancer (PCa) and its clinical significance. The expression of miR-30c and miR-29b was detected by RT-qPCR in 187 cases of PCa and their adjacent tissues. Combined with clinical information, the correlation between the expression of miR-29b and miR-30c and the clinical features of PCa was analyzed, and ROC curve was plotted. The expression of miR-30c and miR-29b detected by RT-qPCR showed that the expression of miR-29b and miR-30c in PCa tissues was significantly lower than that in adjacent cancerous tissues (p<0.05). By comparing the expression and clinical data of miR-29b and miR-30c in the cancer tissues of PCa patients, it was observed that age, smoking, and TNM staging were not related to miR-29b and miR-30c expression (p>0.05), while lymph node metastasis, bone metastasis, and Gleason score were related to the expression of miR-29b and miR-30c (p<0.01). The ROC curve showed that miR-29b AUC, 0.924; 95% CI, 0.824–0.967, and miR-30c AUC, 0.944; 95% CI, 0.798–0.972. miR-30c and miR-29b are clinically relevant to PCa. In conclusion, detecting the expression of miR-30c and miR-29b not only can differentiate between PCa and paracancerous tissues, but it is also anticipated to become a new biomarker for the diagnosis of PCa.