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Background Precise determination of the lymph node status is critical for determining appropriate treatment for early gastric cancer (EGC). This study attempted to establish a simple, effective risk scoring system to predict lymph node metastasis (LNM) in EGC by investigating the relationship between platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) and EGC LNM. Materials and methods We retrospectively reviewed 312 operable patients with EGC. The clinical utility of PLR and NLR was tested by receiver operating characteristic curves. The scoring system was developed using independent risk factors. Finally, 89 EGC patients were collected from prospective database to validate the scoring system's accuracy. Results The optimal PLR and NLR cut-off values were 106 and 2.97, respectively. High NLR ( P = 0.009) and PLR ( P = 0.007) values were associated with LNM of EGC in univariate analyses, although only high PLR ( P = 0.025) was an independent risk factor in multivariate analyses, together with age ( P = 0.009), differentiation ( P = 0.017), invasive depth ( P < 0.001), and tumor size ( P = 0.003). The scoring system's accuracy for retrospective and prospective data was 0.781 (95% confidence interval: 0.721-0.841) and 0.817 (95% confidence interval 0.714-0.920), respectively. Conclusions Preoperative PLR and NLR correlate with EGC LNM. Our scoring system is reliable, accurate, and effective in predicting LNM in EGC patients. [ABSTRACT FROM AUTHOR]

Background: Aberrant expression of defensins is implicated in the pathogenesis of digestive diseases. However, the contribution of specific defensins and the influence of their genetic polymorphisms on the progression of digestive diseases remain controversial. In the present meta-analysis, we investigated the association between DEFB1 SNPs and the susceptibility to digestive diseases., Material and Methods: Case-control studies that reported the correlation between DEFB1 SNPs and the susceptibility to digestive diseases were identified through electronic databases searches, and high-quality studies that satisfied our inclusion criteria were selected for this meta-analysis. Statistical analyses were performed utilizing STATA software version 12.0., Results: The present meta-analysis revealed that patients with digestive diseases exhibited higher frequencies of the DEFB1 genetic variants rs11362G>A, rs1800972C>G, and rs1799946G>A compared to healthy controls under the allele model. Subgroup analysis based on country showed that the rs1800972C>G variant under allele model and rs1799946G>A are associated with the susceptibility to digestive diseases in Hungarian and Italian populations, respectively. Subgroup analysis based on disease type showed that: (1) rs11362G>A variant was strongly associated with severe acute pancreatitis (SAP) and chronic gastritis, (2) frequency of rs1800972C>G variant was higher in SAP subgroup, and (3) frequency of rs1799946G>A variant was positively associated with the susceptibility to Crohn's disease (CD) under the allele model and with SAP., Conclusions: Our meta-analysis provides evidence that DEFB1 genetic polymorphisms rs11362G>A, rs1800972C>G and rs1799946G>A are important contributing factors to the development of digestive diseases.