| Literature DB >> 28338235 |
Wei Wang1, Juan Yang2, Yuan-Yuan Xiang3, Jie Pi1, Jiang Bian4.
Abstract
Ovarian cancer is one of the most common malignant tumor of female genital organs which ranks the third morbidity. We aimed to provide a better understanding of the mechanism of invasion and metastasis of ovarian cancer. The ovarian cancer samples were downloaded from GEO. Then clustering was performed to classify the stage of miRNAs based on the difference of prognosis and metastasis. Furthermore, the miRNAs model was build and the survival analysis processes was performed to observe the influence on prognosis, invasion and metastasis. At last, miRNAs co-expression network was built to explore the core miRNAs and the risk classification model was built to perform the risk assessment based on these core miRNAs. A total of 17 significantly differential expressed miRNAs were obtained. Functional enrichment of 1,488 target genes, pathways like cell cycle, focal adhesion, and pathways in cancer, which are closely related to the proliferation and metastasis of cancer cells were highly enriched, this indicate that these miRNAs are related to the proliferation and metastasis of cancer cells. The co-expressed network shows that the high expression of hsa-miR-320 indicated negative prognosis and high risk of metastasis. In conclusion, the expression level of hsa-miR-320 is highly related to the migration and invasion of cancer. The high expression of hsa-miR-320 directly indicated negative prognosis and high risk of metastasis. These findings reveal that hsa-miR-320 may serve as an important therapeutic target in ovarian cancer therapy. J. Cell. Biochem. 118: 3654-3661, 2017.Entities:
Keywords: CO-REGULATION NETWORK; Hsa-miR-320; KAPLAN-MEIER; OVARIAN CANCER; miRNAs
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Year: 2017 PMID: 28338235 DOI: 10.1002/jcb.26009
Source DB: PubMed Journal: J Cell Biochem ISSN: 0730-2312 Impact factor: 4.429