Jin-feng Ding’s research while affiliated with Taizhou Central Hospital and other places

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Publications (4)


Supplementary Material 1
  • Data
  • File available

July 2016

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9 Reads

Bei Liu

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Jin-feng Ding

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Jian Luo

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[...]

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Xiao-dong Tan
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Figure 3: Network of proteins. A. The network predicted with methods of neighborhood, gene fusion, co-occurrence, co-expression, experiments, databases and text-mining. This network was enriched in interaction with a p-value of 5.55E-15. B. The network predicted only with experiments. Disconnected nodes were hidden. This network was not enriched in interaction. C. KEGG pathway related to cervical cancer. Only the part related to results of this study is plotted. This graph was reorganized based on viral carcinogenesis (hsa05203) from KEGG. 
Table 3 : Seven miRNA signature correlated with prognosis
Table 4 : Mature sequences of miRNA signature and experimentally validated mRNA targets
Table 5 : Slim gene ontology enrichment
Table 6 : KEGG pathway enrichment
Seven protective miRNA signatures for prognosis of cervical cancer

November 2014

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65 Reads

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24 Citations

Oncotarget

Cervical cancer is the second cause of cancer death in females in their 20s and 30s, but there were limited studies about its prognosis. This study aims to identify miRNA related to prognosis and study their functions. TCGA data of patients with cervical cancer were used to build univariate Cox's model with single clinical parameter or miRNA expression level. Multivariate Cox's model was built using both clinical information and miRNA expression levels. At last, STRING was used to enrich gene ontology or pathway for validated targets of significant miRNAs, and visualize the interactions among them. Using univariate Cox's model with clinical parameters, we found that two clinical parameters, tobacco use and clinical stage, and seven miRNAs were highly correlated with the survival status. Only using the expression level of miRNA signatures, the model could separate patients into high-risk and lowrisk groups successfully. An optimal feature-selected model was proposed based on two clinical parameters and seven miRNAs. Functional analysis of these seven miRNAs showed they were associated to various pathways related to cancer, including MAPK, VEGF and P53 pathways. These results helped the research of identifying targets for targeted therapy which could potentially allow tailoring of treatment for cervical cancer patients.

Citations (1)


... These miRNAs affected stability of the expression of their target genes and played an essential role in the pathogenesis of endometriosis. Furthermore, several miRNAs were also categorized as proangiogenic miRNAs, playing role in the regulation of vascular endothelial growth factor A (VEGFA) (13,14) and MMP3 translations (15). In general, VEGFA mRNA is targeted by miR-93, resulting in cells proliferation inhibition (16). ...

Reference:

Down-Regulation of miR-93 Negatively Correlates with Overexpression of VEGFA and MMP3 in Endometriosis: A Cross-Sectional Study
Seven protective miRNA signatures for prognosis of cervical cancer

Oncotarget