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pmid:33949774

S100P acts as a target of miR-495 in pancreatic cancer through bioinformatics analysis and experimental verification.

Peng-Fei Jiang · Xiu-Ju Zhang · Cai-Yun Song · Yan-Xi Zhang · Yan Wu

The Kaohsiung journal of medical sciences · 2021 doi:10.1002/kjm2.12383

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

absent

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S100P acts as a target of miR-495 in pancreatic cancer through bioinformatics analysis and experimental verification.
doi
10.1002/kjm2.12383
pmid
33949774
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Peng-Fei Jiang
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Xiu-Ju Zhang
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Cai-Yun Song
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Yan-Xi Zhang
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Yan Wu
journal
The Kaohsiung journal of medical sciences
year
2021
abstract
S100 calcium binding protein P (S100P) and miR-495 are aberrantly expressed and exert essential roles in cancers. However, the mechanisms of miR-495-S100P in pancreatic cancer are yet to be illustrated. Thus, we explored the regulatory functions of miR-495-S100P axis in pancreatic adenocarcinoma cells growth and invasion. In this study, we identified that S100P was upregulated in pancreatic adenocarcinoma by bioinformatics analysis of the GEO (Gene Expression Omnibus database) microarray dataset (GSE16515). Western blotting and luciferase reporter gene analysis exhibited that miR-495 negatively determined the level of S100P via binging to its 3'-untranslated regions (3'-UTRs). A series of functional experiments indicated that upregulation of miR-495 or S100P knockdown suppressed pancreatic adenocarcinoma cells proliferation, invasion, and promoted apoptosis. Furthermore, the expression of S100P was negatively associated with the level of miR-495 in The Cancer Genome Atlas (TCGA) pancreatic adenocarcinoma case-cohort. Besides, reintroduction of S100P debilitated the anti-cancer action of miR-495 in pancreatic adenocarcinoma cells. Our data indicated that miR-495 performed suppressive roles in pancreatic adenocarcinoma through targeting S100P.
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One‐way analysis of variance (ANOVA) post hoc Tukey test or Student's t‐test was used to compare the difference between groups. Survival analysis was conducted by the Kaplan–Meier method and log‐rank test using the KM‐plotter database (http://kmplot.com/analysis/index.php?p=service).
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sections[11] "Statistical analysis" paragraph 2
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One‐way analysis of variance (ANOVA) post hoc Tukey test or Student's t‐test was used to compare the difference between groups. Survival analysis was conducted by the Kaplan–Meier method and log‐rank test using the KM‐plotter database (http://kmplot.com/analysis/index.php?p=service).
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