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Primary research
Shanshan Qin
Hubei University of Medicine
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8527-5278
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This work is licensed under a CC BY 4.0 License. Read Full License
Background
Different gastric cancer (GC) subtypes usually possess distinct clinical outcomes. The function of miR-194 in gastric cancer remains unclear and controversial. This study aimed to identify potential microRNAs that differentially expressed in subtypes and to elucidate the molecular mechanisms of miR-194 in GC.
Methods
Comprehensive miRNA expression analysis was performed using the available miRNA-seq data from TCGA stomach cancer cohort. The preferences of miR-194 in regulating target genes were determined by RNA sequencing studies. The function of miR-194 in GC was explored in GC cell lines by performing qRT-PCR assays, western blot assays, cell proliferation assays, luciferase report assays and flow cytometry assay.
Results
In this study, we identified a series of miRNAs that can serve as prognostic biomarkers for GC. Among them, miR-100, miR-125b, miR-199a and miR-194 were the 4 most promising prognostic biomarkers in GC due to their significant associations with various clinical characteristics of patients. MiR-100, miR-125b and miR-199a predicted poor prognosis in GC, while miR-194 predicted favorable prognosis in GC.
Besides, we provided the first comprehensive transcriptome analysis about miR-194 in GC. The results showed that miR-194 tended to regulated target genes by binding on their 3' untranslated regions in a 7-mer-A1 or 7-mer-m8 or 8-mer manner. The KEGG pathway analysis showed that cell cycle was one of the most affected pathways by miR-194 in GC. Moreover, CCND1 was proved to be a novel target gene of miR-194 in GC. Additionally, the downregulation of CCND1 by miR-194 in GC further led to cell growth inhibition and cell cycle arrest.
Conclusions
MiR-100, miR-125b, miR-199a and miR-194 could serve as prognostic and diagnostic biomarkers for GC. MiR-194 might suppress GC cell growth mainly through targeting CCND1 and induction of cell cycle arrest.
Keywords
miR-194, prognostic biomarker, CCND1, cell cycle, gastric cancer
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Primary research
Shanshan Qin
Hubei University of Medicine
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8527-5278
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 14 Aug, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Cancer Biology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Different gastric cancer (GC) subtypes usually possess distinct clinical outcomes. The function of miR-194 in gastric cancer remains unclear and controversial. This study aimed to identify potential microRNAs that differentially expressed in subtypes and to elucidate the molecular mechanisms of miR-194 in GC.
Methods
Comprehensive miRNA expression analysis was performed using the available miRNA-seq data from TCGA stomach cancer cohort. The preferences of miR-194 in regulating target genes were determined by RNA sequencing studies. The function of miR-194 in GC was explored in GC cell lines by performing qRT-PCR assays, western blot assays, cell proliferation assays, luciferase report assays and flow cytometry assay.
Results
In this study, we identified a series of miRNAs that can serve as prognostic biomarkers for GC. Among them, miR-100, miR-125b, miR-199a and miR-194 were the 4 most promising prognostic biomarkers in GC due to their significant associations with various clinical characteristics of patients. MiR-100, miR-125b and miR-199a predicted poor prognosis in GC, while miR-194 predicted favorable prognosis in GC.
Besides, we provided the first comprehensive transcriptome analysis about miR-194 in GC. The results showed that miR-194 tended to regulated target genes by binding on their 3' untranslated regions in a 7-mer-A1 or 7-mer-m8 or 8-mer manner. The KEGG pathway analysis showed that cell cycle was one of the most affected pathways by miR-194 in GC. Moreover, CCND1 was proved to be a novel target gene of miR-194 in GC. Additionally, the downregulation of CCND1 by miR-194 in GC further led to cell growth inhibition and cell cycle arrest.
Conclusions
MiR-100, miR-125b, miR-199a and miR-194 could serve as prognostic and diagnostic biomarkers for GC. MiR-194 might suppress GC cell growth mainly through targeting CCND1 and induction of cell cycle arrest.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
This is a list of supplementary files associated with this preprint. Click to download.
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