Association and in silico investigations of miR‐302c insertion/deletion variant as a novel biomarker with susceptibility to gastric cancer

2019 ◽  
Vol 120 (11) ◽  
pp. 18946-18955
Author(s):  
Mohammad Raad ◽  
Amir Bayat ◽  
Alireza Sharafshah ◽  
Ali Zahedi Amiri ◽  
Mostafa Montazer Zohour ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
In Silico ◽  
Deletion Variant

scholarly journals Characterization and risk association of polymorphisms in Aurora kinases A, B and C with genetic susceptibility to gastric cancer development

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Aner Mesic ◽  
Marija Rogar ◽  
Petra Hudler ◽  
Nurija Bilalovic ◽  
Izet Eminovic ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Transcription Factors ◽  
In Silico ◽  
In Silico Analysis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Mitotic Kinases ◽  
Genes Encoding ◽  
Silico Analysis ◽  
Control Study

Abstract Background Single nucleotide polymorphisms (SNPs) in genes encoding mitotic kinases could influence development and progression of gastric cancer (GC). Methods Case-control study of nine SNPs in mitotic genes was conducted using qPCR. The study included 116 GC patients and 203 controls. In silico analysis was performed to evaluate the effects of polymorphisms on transcription factors binding sites. Results The AURKA rs1047972 genotypes (CT vs. CC: OR, 1.96; 95% CI, 1.05–3.65; p = 0.033; CC + TT vs. CT: OR, 1.94; 95% CI, 1.04–3.60; p = 0.036) and rs911160 (CC vs. GG: OR, 5.56; 95% CI, 1.24–24.81; p = 0.025; GG + CG vs. CC: OR, 5.26; 95% CI, 1.19–23.22; p = 0.028), were associated with increased GC risk, whereas certain rs8173 genotypes (CG vs. CC: OR, 0.60; 95% CI, 0.36–0.99; p = 0.049; GG vs. CC: OR, 0.38; 95% CI, 0.18–0.79; p = 0.010; CC + CG vs. GG: OR, 0.49; 95% CI, 0.25–0.98; p = 0.043) were protective. Association with increased GC risk was demonstrated for AURKB rs2241909 (GG + AG vs. AA: OR, 1.61; 95% CI, 1.01–2.56; p = 0.041) and rs2289590 (AC vs. AA: OR, 2.41; 95% CI, 1.47–3.98; p = 0.001; CC vs. AA: OR, 6.77; 95% CI, 2.24–20.47; p = 0.001; AA+AC vs. CC: OR, 4.23; 95% CI, 1.44–12.40; p = 0.009). Furthermore, AURKC rs11084490 (GG + CG vs. CC: OR, 1.71; 95% CI, 1.04–2.81; p = 0.033) was associated with increased GC risk. A combined analysis of five SNPs, associated with an increased GC risk, detected polymorphism profiles where all the combinations contribute to the higher GC risk, with an OR increased 1.51-fold for the rs1047972(CT)/rs11084490(CG + GG) to 2.29-fold for the rs1047972(CT)/rs911160(CC) combinations. In silico analysis for rs911160 and rs2289590 demonstrated that different transcription factors preferentially bind to polymorphic sites, indicating that AURKA and AURKB could be regulated differently depending on the presence of particular allele. Conclusions Our results revealed that AURKA (rs1047972 and rs911160), AURKB (rs2241909 and rs2289590) and AURKC (rs11084490) are associated with a higher risk of GC susceptibility. Our findings also showed that the combined effect of these SNPs may influence GC risk, thus indicating the significance of assessing multiple polymorphisms, jointly. The study was conducted on a less numerous but ethnically homogeneous Bosnian population, therefore further investigations in larger and multiethnic groups and the assessment of functional impact of the results are needed to strengthen the findings.

scholarly journals Water soluble polysaccharides from Spirulina platensis exhibited cyto/DNA protection and suppress the growth of gastric cancer cells via modulation of galectin-3

2021 ◽  
Author(s):  
Vinayak Uppin ◽  
Shylaja M Dharmesh ◽  
Sarada R
Keyword(s):  
Gastric Cancer ◽  
Cancer Cells ◽  
In Silico ◽  
Average Molecular Weight ◽  
Haemagglutination Inhibition ◽  
Water Soluble ◽  
Gastric Cancer Cells ◽  
Galectin 3 ◽  
Nih 3T3

Polysaccharides from natural sources play a significant role in the management of different cancer types including gastric cancer. In this study, we reported the effect of spirulina polysaccharide (Sp) on galectin-3 modulatory activity on gastric cancer cells. The polysaccharide was isolated from the spirulina biomass, characterized, and the in silico, in vitro studies are carried out to assess the bioactivities. The isolated Sp possessed average molecular weight of 1457 kDa, and galactose (42%) as major sugar along with Rhamnose, Arabinose, Xylose, and Mannose. Further, characterization of Sp by FT-IR and NMR spectrum indicated the presence of (β1-4D) galactose sugar with galactoarabinorhamnoglycan backbone. Among the monosaccharides, galactose showed highest binding affinity with galectin-3 protein as evidenced by the in silico interaction study. The obtained Sp, inhibited the proliferation of AGS gastric cancer cells by 48 % without affecting normal NIH/3T3 cells as opposed to doxorubicin, a known anticancer drug. Also, Sp exhibited galectin-3 mediated haemagglutination inhibition with MIC of 9.37 μg/mL compared to galactose 6.25 μg/mL, sugar specific to galectin-3. The Sp treatment significantly (p<0.05) lowered the expression of galectin-3 by 32 % compared to untreated control cells. In addition, Sp exhibited the potent cytoprotection in RBCs, Buccal cells, and DNA exposed to oxidants. Thus, the findings suggest that the polysaccharide from spirulina offer a promising therapeutic strategy in the management of gastric cancer in addition to its currently known nutritional and pharmaceutical applications.

In silico identification of novel lncRNAs with a potential role in diagnosis of gastric cancer

2019 ◽  
Vol 38 (7) ◽  
pp. 1954-1962
Author(s):  
Encieh Delshad ◽  
Fatemeh T. Shamsabadi ◽  
Shabbou Bahramian ◽  
Fatemeh Mehravar ◽  
Hossein Maghsoudi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
In Silico ◽  
Potential Role ◽  
In Silico Identification

KCNE2, a down-regulated gene identified by in silico analysis, suppressed proliferation of gastric cancer cells

2007 ◽  
Vol 246 (1-2) ◽  
pp. 129-138 ◽  
Author(s):  
Pan Yanglin ◽  
Zhao Lina ◽  
Liu Zhiguo ◽  
Liu Na ◽  
Jin Haifeng ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Cells ◽  
In Silico ◽  
In Silico Analysis ◽  
Gastric Cancer Cells ◽  
Silico Analysis

scholarly journals In silico analysis and verification of S100 gene expression in gastric cancer

BMC Cancer ◽  
2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Ji Liu ◽  
Xue Li ◽  
Guang-Long Dong ◽  
Hong-Wei Zhang ◽  
Dong-Li Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis ◽  
S100 Gene
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