Quantitative Proteomics of TRAMP Mice Combined with Bioinformatics Analysis Reveals That PDGF-B Regulatory Network Plays a Key Role in Prostate Cancer Progression

Background/Aims: Prostate cancer is one of the most common cancers for males worldwide, and it is prone to show the metastatic foci in lymph node and bone with high mortality. To date, the potential mechanism and the corresponding biomarkers for metastatic prostate cancer are still lacking. Hence, our study aims to clarify the mechanism of prostate cancer progression and identify the useful biomarkers for metastatic prostate cancer. Methods: The proteins and network tightly associated with tumor metastasis were identified using quantitative proteomics. Furthermore, the mRNA level of differential expressed proteins were confirmed using qRT-PCR, and the functional cluster analysis was performed using String and Cytoscape. Results: Totally, our study identified 203 differential proteins closely associated with tumor cell migration, and the mRNA expression of those proteins were verified by qPCR. Moreover, the migration associated molecular network was established using bioinformatics analysis. Conclusion: These data raveled the critical proteins for the cell migration of prostate cancer, and identified the potential markers for diagnosing the metastasis of prostate cancer.

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Detection of candidate biomarkers of prostate cancer progression in serum: a depletion-free 3D LC/MS quantitative proteomics pilot study

British Journal of Cancer ◽

10.1038/bjc.2016.291 ◽

2016 ◽

Vol 115 (9) ◽

pp. 1078-1086 ◽

Cited By ~ 25

Author(s):

S E T Larkin ◽

H E Johnston ◽

T R Jackson ◽

D G Jamieson ◽

T I Roumeliotis ◽

...

Keyword(s):

Prostate Cancer ◽

Pilot Study ◽

Cancer Progression ◽

Quantitative Proteomics ◽

Prostate Cancer Progression

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A Novel Androgen-Induced lncRNA FAM83H-AS1 Promotes Prostate Cancer Progression via the miR-15a/CCNE2 Axis

Frontiers in Oncology ◽

10.3389/fonc.2020.620306 ◽

2021 ◽

Vol 10 ◽

Author(s):

Bo Liu ◽

Duocheng Qian ◽

Weidong Zhou ◽

Huiyang Jiang ◽

Zhendong Xiang ◽

...

Keyword(s):

Prostate Cancer ◽

Cell Cycle ◽

Cancer Progression ◽

Bioinformatics Analysis ◽

Noncoding Rnas ◽

Prostate Adenocarcinoma ◽

Prostate Cancer Progression ◽

Loss Of Function ◽

Bladder Urothelial Carcinoma ◽

And Migration

Prostate cancer (PCa) is one of the most common types of tumors among males worldwide. However, the roles of long noncoding RNAs (lncRNAs) in PCa remain unclear. This study shows that lncRNA FAM83H-AS1 is upregulated in prostate adenocarcinoma, bladder urothelial carcinoma, and kidney renal papillary cell carcinoma samples. Androgen receptor (AR) signaling plays the most important role in PCa tumorigenesis and development. In this study, the results validate that AR signaling is involved in upregulating FAM83H-AS1 expression in PCa cells. Loss-of-function assays demonstrate that FAM83H-AS1 acts as an oncogene in PCa by modulating cell proliferation, cell cycle, and migration. Bioinformatics analysis demonstrates that FAM83H-AS1 is remarkably related to the regulation of the cell cycle and DNA replication through affecting multiple regulators related to these pathways, such as CCNE2. Mechanically, we found that FAM83H-AS1 plays its roles through sponging miR-15a to promote CCNE2 expression. These findings indicate that FAM83H-AS1 is a novel diagnostic and therapeutic marker for PCa.

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