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Identification of Potential Prostate Cancer-Related Pseudogenes Based on Competitive Endogenous RNA Network Hypothesis.
Med Sci Monit. 2018 Jun 20; 24:4213-4239.MS

Abstract

BACKGROUND

Long noncoding RNAs (lncRNAs) have been revealed to function as competing endogenous RNAs (ceRNAs), which can seclude the common microRNAs (miRNAs) and hence prevent the miRNAs from binding to their ancestral gene. Nonetheless, the role of lncRNA-mediated ceRNAs in prostate cancer has not yet been elucidated. MATERIAL AND

METHODS

Using The Cancer Genome Atlas (TCGA) database, lncRNA, miRNA, and mRNA profiles from 499 prostate cancer tissues and 52 normal prostate tissues were analyzed with the R package "DESeq" to identify the differentially expressed RNAs. GO and KEGG pathway analyses were performed using "DAVID6.8" and R packages "Clusterprofile." The ceRNA network in prostate cancer was constructed using miRDB, miRTarBase, and TargetScan databases. Survival analysis was performed with Kaplan-Meier analysis.

RESULTS

A total of 376 lncRNAs, 33 miRNAs, and 687 mRNAs were identified as significant factors in tumorigenesis. Based on the hypothesis that the ceRNA network (lncRNA-miRNA-mRNA regulatory axis) is involved in prostate cancer and forms competitive interrelations between miRNA and mRNA or lncRNA, we constructed a ceRNA network that included 23 lncRNAs, 6 miRNAs, and 2 mRNAs that were differentially expressed in prostate cancer. Only 3 lncRNAs (LINC00308, LINC00355, and OSTN-AS1) had a significant association with survival (P<0.05). The 3 prostate cancer-specific lncRNA were validated in prostate cancer cell lines PC3 and DU145 using qRT-PCR.

CONCLUSIONS

We demonstrated the differential lncRNA expression profiles in prostate cancer, which provides new insights for future studies of the ceRNA network and its regulatory mechanisms in prostate cancer.

Authors+Show Affiliations

Department of Urology, Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).Department of Pathogenic Biology, Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).Department of Urology, Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).Department of Urology, Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).Department of Urology, Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).Department of Pharmacology, Qiqihar Medical University, Qiqihar, Heilongjiang, China (mainland).

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29923546

Citation

Jiang, Tao, et al. "Identification of Potential Prostate Cancer-Related Pseudogenes Based On Competitive Endogenous RNA Network Hypothesis." Medical Science Monitor : International Medical Journal of Experimental and Clinical Research, vol. 24, 2018, pp. 4213-4239.
Jiang T, Guo J, Hu Z, et al. Identification of Potential Prostate Cancer-Related Pseudogenes Based on Competitive Endogenous RNA Network Hypothesis. Med Sci Monit. 2018;24:4213-4239.
Jiang, T., Guo, J., Hu, Z., Zhao, M., Gu, Z., & Miao, S. (2018). Identification of Potential Prostate Cancer-Related Pseudogenes Based on Competitive Endogenous RNA Network Hypothesis. Medical Science Monitor : International Medical Journal of Experimental and Clinical Research, 24, 4213-4239. https://doi.org/10.12659/MSM.910886
Jiang T, et al. Identification of Potential Prostate Cancer-Related Pseudogenes Based On Competitive Endogenous RNA Network Hypothesis. Med Sci Monit. 2018 Jun 20;24:4213-4239. PubMed PMID: 29923546.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identification of Potential Prostate Cancer-Related Pseudogenes Based on Competitive Endogenous RNA Network Hypothesis. AU - Jiang,Tao, AU - Guo,Junjie, AU - Hu,Zhongchun, AU - Zhao,Ming, AU - Gu,Zhenggang, AU - Miao,Shu, Y1 - 2018/06/20/ PY - 2018/6/21/entrez PY - 2018/6/21/pubmed PY - 2018/10/20/medline SP - 4213 EP - 4239 JF - Medical science monitor : international medical journal of experimental and clinical research JO - Med. Sci. Monit. VL - 24 N2 - BACKGROUND Long noncoding RNAs (lncRNAs) have been revealed to function as competing endogenous RNAs (ceRNAs), which can seclude the common microRNAs (miRNAs) and hence prevent the miRNAs from binding to their ancestral gene. Nonetheless, the role of lncRNA-mediated ceRNAs in prostate cancer has not yet been elucidated. MATERIAL AND METHODS Using The Cancer Genome Atlas (TCGA) database, lncRNA, miRNA, and mRNA profiles from 499 prostate cancer tissues and 52 normal prostate tissues were analyzed with the R package "DESeq" to identify the differentially expressed RNAs. GO and KEGG pathway analyses were performed using "DAVID6.8" and R packages "Clusterprofile." The ceRNA network in prostate cancer was constructed using miRDB, miRTarBase, and TargetScan databases. Survival analysis was performed with Kaplan-Meier analysis. RESULTS A total of 376 lncRNAs, 33 miRNAs, and 687 mRNAs were identified as significant factors in tumorigenesis. Based on the hypothesis that the ceRNA network (lncRNA-miRNA-mRNA regulatory axis) is involved in prostate cancer and forms competitive interrelations between miRNA and mRNA or lncRNA, we constructed a ceRNA network that included 23 lncRNAs, 6 miRNAs, and 2 mRNAs that were differentially expressed in prostate cancer. Only 3 lncRNAs (LINC00308, LINC00355, and OSTN-AS1) had a significant association with survival (P<0.05). The 3 prostate cancer-specific lncRNA were validated in prostate cancer cell lines PC3 and DU145 using qRT-PCR. CONCLUSIONS We demonstrated the differential lncRNA expression profiles in prostate cancer, which provides new insights for future studies of the ceRNA network and its regulatory mechanisms in prostate cancer. SN - 1643-3750 UR - https://www.unboundmedicine.com/medline/citation/29923546/Identification_of_Potential_Prostate_Cancer_Related_Pseudogenes_Based_on_Competitive_Endogenous_RNA_Network_Hypothesis_ L2 - https://www.medscimonit.com/download/index/idArt/910886 DB - PRIME DP - Unbound Medicine ER -