50%, the random effect model was used. Results: From 1461 relevant studies, 24 articles were eligible and included in the qualitative while 19 articles included in quantitative analysis. The pooled prevalence based on diagnostic methods varies from 29% using immunohistochemistry to 52% using nested-PCR method. The likelihood of being infected with JCV was significantly higher in CRC patients compared to healthy (POR: 4.41, 95% CI: 2.13 – 9.13) controls, normal adjacent mucosa (POR: 2.79, 95% CI: 1.3-5.9) and colorectal adenoma (POR: 3.1, 95% CI: 1.5-6.5) but was not significant when non-CRC patients used as control group. Conclusion: The prevalence of JCV in colorectal patients was substantially variable by different methods and targets. The significant association between JCV and CRC that was observed in the present study is not indicative of causation and should be studied more in large-scale prospective designs.]]>
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Pro Polymorphism with Breast and Lung Cancer Risk in the South Asian Population: A Meta-Analysis]]>
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0.05). F-SNP-based in silico analysis indicated possible modifications in transcriptional regulations induced by miR-146a G/C (rs2910164) variations. Conclusion: Overall, our results indicated no correlation between miR-146a G/C (rs2910164) polymorphism and genetic susceptibility to breast cancer in Iranian female populations. However, these findings need to be further confirmed by analyses of a larger number of cases.]]>
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0.05). The expression of p53 gene was associated with a lower rate of survival (p=0.014), while the expression of HER-2/neu was associated with higher probability of developing intestinal type of stomach adenocarcinoma (p=0.010) and ulcerative macroscopic view (p=0.034). Conclusion: This study illustrated that p53 and CD44 markers did not have any diagnostic value in predicting the biological behavior of gastric cancer. In fact, incidence of p53 mmunoreactivity was associated with the lower rate of survival, and the expression of HER-2/neu was associated with higher probability of developing the intestinal type of stomach adenocarcinoma and ulcerative macroscopic view. ]]>
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A and -238G>A), and TNF-α serum levels with the susceptibility to gastric precancerous (PL) and GC. Methods: Patients suffering from gastric lesions (65 chronic gastritis, 50 PL, 40 GC) related to H. pylori infection , and 63 healthy controls (HC) were involved in this study. Individuals are genotyped by TNF-α gene promoter sequencing and TNF-α serum levels are measured by ELISA quantitative method. Results: Regarding TNF-α-308 G/A locus, we noticed higher risk for GC (OR=4.3, CI 1.5-11.9, p-value=0.005) and PL (OR=3.4, CI 1.2-9.2, p-value=0.01) for individuals with AA/GA genotypes compared to GG genotype. Concerning TNF-α-238 G/A locus, we noticed higher risk for GC (OR=5.9, CI 1.2-27.5, p-value=0.01) and PL (OR=4.8, CI 1.3-18, p-value=0.01) for individuals with GG genotype compared to AA/GA genotypes. We noticed that TNF-α serum levels have been increased together with gastric lesions severity. Moreover, TNF-α-308 and TNF-α-238 A alleles seemed to, respectively, upregulate and downregulate TNF-α serum levels. Conclusion: The TNF-α -308 A allele has a promotive effect for GC progression, whereas the TNF-α -238 A allele has a protective function against GC progression. High levels of TNF-α seemed to be associated with the aggressiveness of gastric lesions. TNF-α gene polymorphisms and TNF-α serum levels might be helpful to select those patients who are at high risk for GC.]]>
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14% (p<0.002) whereas the rate of involvement was lower in triple negative patients. Conclusion: Sentinel node biopsy can be used in a significant percentage of breast cancer patients with palpable and reactive axillary lymph nodes.]]>
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0.7. Based on uni- and multivariate Cox analyses, the risk scoring system could serve as a significant independent predictor for OS in HCC patients with cirrhosis. Functional enrichment analysis suggested that the lncRNAs in the risk scoring systems are involved primarily in the pathway of Wnt signal and cytokine-cytokine receptor interaction. Conclusion: Risk scoring systems based on lncRNAs can effectively predict OS of HCC patients with cirrhosis. The system should be further developed and validated in larger, preferably multi-site patient populations. ]]>
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