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Cancer Medicine
Article . 2020 . Peer-reviewed
License: CC BY
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Cancer Medicine
Article
License: CC BY
Data sources: UnpayWall
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Cancer Medicine
Article . 2021
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PubMed Central
Article . 2020
Data sources: PubMed Central
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Higher miR‐543 levels correlate with lower STK31 expression and longer pancreatic cancer survival

Authors: Weizhong Yuan; Hao Gao; Guangfu Wang; Yi Miao; Kuirong Jiang; Kai Zhang; Junli Wu;

Higher miR‐543 levels correlate with lower STK31 expression and longer pancreatic cancer survival

Abstract

AbstractPancreatic cancer (PC) is one of the most malignant gastrointestinal tumors and the 5‐year survival is only 9%. The expression of miRNAs in serum has been proved to be related to tumorigenesis and development of cancers. The miRNA targets and gene targets were predicted in microRNA.org, miRDB, TargetScan, and RNAInter. The expression data of STK31 (Serine/Threonine Kinase 31) and miRNAs generated from PC samples was from TCGA and the relationship of expression of STK31 and miR‐543 was confirmed in PC samples from our center. Double luciferase reporter gene assay was used to demonstrate the direct binding between miR‐543 and STK31. The effect of expression level of miRNAs on survival time was assessed by Kaplan–Meier curves. The Go Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of miR‐543‐related genes were performed. The results showed that miR‐543 had a statistically significant correlation with the expression of STK31 and contained the direct binding site with STK31. The expression level of miR‐543 may affect the survival of PC. The results of GO and KEGG pathway analysis showed that miR‐543 might play a key role in Insulin signaling pathway. MiR‐543 could be combined with STK31 and affect the expression of STK31. The expression of miR‐543 could also predict the survival of patients with PC, which suggested that miR‐543 might play an important role in PC. The GO and KEGG pathway analysis also displayed that miR‐543 was involved in several other pathways of pancreas.

Related Organizations
Keywords

Male, Computational Biology, Middle Aged, Protein Serine-Threonine Kinases, Pancreatic Neoplasms, Survival Rate, MicroRNAs, Databases, Genetic, Biomarkers, Tumor, Humans, Female, Cancer Prevention, Neoplasm Staging

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green
gold
Related to Research communities
Cancer Research