| Literature DB >> 25889078 |
Zhujiang Zhao1, Ling Wang2, Wei Song3, He Cui4, Gang Chen5, Fengchang Qiao6, Jiaojiao Hu7, Rongping Zhou8, Hong Fan9.
Abstract
BACKGROUND: MicroRNAs (miRNAs) play an important role in a tumor-suppressive or oncogenic manner in carcinogenesis. Alteration expression patterns of miRNAs in gastric cancer (GC) are associated with cancer initiation and progression. In the present study, we evaluated miR-29a-3p expression pattern and its function in gastric carcinogenesis.Entities:
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Year: 2015 PMID: 25889078 PMCID: PMC4363339 DOI: 10.1186/s12957-015-0513-x
Source DB: PubMed Journal: World J Surg Oncol ISSN: 1477-7819 Impact factor: 2.754
Figure 1Decreased expression of miR-29a-3p in GC specimens and cell lines. (A) qRT-PCR analysis showing miR-29a-3p mRNA level in GC tissues (n = 50). The value (defined as “fold difference”) indicated the ratio of the miR-29a-3p mRNA expression level (fold change) in GC tissues to the matched non-tumor tissues. Twenty- one out of fifty GC cases showed a decreased expression of miR-29a-3p (T < N). The bar chart showed the number of detected GC cases. (B) Scatter plots of miR-29a-3p fold change in GC tissues and their matched non-tumor tissues. In both panels, the lines indicated the mean ± SD. The level of miR-29a-3p mRNA was significantly lower in GC tumor tissues compared to the non-tumor counterparts (P = 0.012, Paired Student’s t-test). (C) Semi-quantification of miR-29a-3p expression (fold change) in GC cell lines by qRT-PCR. Data were presented as means ± SD from at least three separate experiments.
Correlation of the expression of miR-29a-3p with clinicopathologic feature
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|---|---|---|---|
| Gender | 1 | ||
| Male | 12 | 19 | |
| Female | 5 | 7 | |
| Differentiation | 0.031 | ||
| Low | 12 | 9 | |
| Moderate | 5 | 17 | |
| Lymphatic metastasis | 0.481 | ||
| Yes | 12 | 21 | |
| No | 5 | 5 | |
| Infiltration degree | 0.071 | ||
| Tunica mucosa | 4 | 2 | |
| Mucous layer outside | 13 | 17 | |
Note: clinicopathologic features of 7 GC tissue samples are not included due to imperfection, so only 43 GC tissue samples were analyzed. *Significant differences are shown.
Figure 2CCK-8 assay was performed to analyze the effect of miR-29a-3p on cell proliferation ability in GC cells. (A) The cell growth rates of BGC-miR-29a-3p-mimics (upper) and MCG-miR-29a-3p-mimics (bottom) were detected by the CCK-8 assay. miR-29a-3p significantly decreased cell growth rates (*P < 0.05; independent student’s t-test). (B) The cell growth rates of BGC-miR-29a-3p-inhibitor (upper) and MCG-miR-29a-inhibitor (bottom) were detected by the CCK assay. miR-29a-3p knockdown significantly increased cell growth rates (*P < 0.05; independent student’s t-test). (C) Expression of CDK2, CDK4, CDK6, and CyclinD1 were detected in BGC-823 or MCG-803 transfected with miR-29a-3p mimics (left)/inhibitor (right). β-actin was used as a loading control. OD, optical density.
Figure 3The effect of miR-29a-3p on GC cell migration and invasion. (A) Wound healing assays on the confluent layers of miR-29a-3p mimics-transfected BGC-823 cells (left) and miR-29a-3p inhibitor-transfected BCG-823 cells (right). Representative images of wound healing assays were acquired at 0 and 48 h after wounding. Representative images (upper) and bar graphs (bottom) depicting the migration (B) and invasion (C) ability of BGC-823 cell after the 48 h transfection of negative control mimics or miR-29a-3p mimics (left) (*P < 0.05) and miR-29a-3p inhibitor (right) compared to its control (*P < 0.05).