Five Circular RNAs in Metabolism Pathways Related to Prostate Cancer.
Five Circular RNAs in Metabolism Pathways Related to Prostate Cancer.
复制标题
与前列腺癌相关的代谢途径中的五种环状RNA
DOI:
10.3389/fgene.2021.636419
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发表时间:
2021
影响因子:
3.7
通讯作者:
Zhang Y
中科院分区:
文献类型:
--
作者:
Zhang L;Zhang W;Li H;Tang X;Xu S;Wu M;Wan L;Su F;Zhang Y
Prostate cancer (PCa) is the most common malignant tumor in men, and its incidence increases with age. Serum prostate-specific antigen and tissue biopsy remain the standard for diagnosis of suspected PCa. However, these clinical indicators may lead to aggressive overtreatment in patients who have been treated sufficiently with active surveillance. Circular RNAs (circRNAs) have been recently recognized as a new type of regulatory RNA that is not easily degraded by RNases and other exonucleases because of their covalent closed cyclic structure. Thus, we utilized high-throughput sequencing data and bioinformatics analysis to identify specifically expressed circRNAs in PCa and filtered out five specific circRNAs for further analysis—hsa_circ_0006410, hsa_circ_0003970, hsa_circ_0006754, hsa_circ_0005848, and a novel circRNA, hsa_circ_AKAP7. We constructed a circRNA-miRNA regulatory network and used miRNA and differentially expressed mRNA interactions to predict the function of the selected circRNAs. Furthermore, survival analysis of their cognate genes and PCR verification of these five circRNAs revealed that they are closely related to well-known PCa pathways such as the MAPK signaling pathway, P53 pathway, androgen receptor signaling pathway, cell cycle, hormone-mediated signaling pathway, and cellular lipid metabolic process. By understanding the related metabolism of circRNAs, these circRNAs could act as metabolic biomarkers, and monitoring their levels could help diagnose PCa. Meanwhile, the exact regulatory mechanism for AR-related regulation in PCa is still unclear. The circRNAs we found can provide new solutions for research in this field.
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影响因子:
21.1
作者:
Li, Yongkui;Xie, Jiajia;Zhu, Ying
通讯作者:
Zhu, Ying
影响因子:
56.9
作者:
Han, Ting;Goralski, Maria;Nijhawan, Deepak
通讯作者:
Nijhawan, Deepak
DOI:
10.6004/jnccn.2018.0036
发表时间:
2018-05-01
影响因子:
13.4
作者:
Carroll, Peter H.;Mohler, James L.
通讯作者:
Mohler, James L.
DOI:
10.1007/s00432-013-1543-9
发表时间:
2014-01-01
影响因子:
3.6
作者:
Kitagawa, Yasuhide;Ueno, Satoru;Namiki, Mikio
通讯作者:
Namiki, Mikio
影响因子:
4.7
作者:
Eidelman E;Twum-Ampofo J;Ansari J;Siddiqui MM
通讯作者:
Siddiqui MM