Prognostic value of three different lymph node staging systems in the survival of patients with gastric cancer following D2 lymphadenectomy.

The log odds of positive lymph nodes (LODDS) was defined as the log of the ratio between the number of positive lymph nodes and the number of negative lymph nodes, which is a novel and promising nodal staging system for gastric cancer. Here, we aimed to compare the prognostic effect of pN, lymph node ratio (LNR) and LODDS. The association between overall survival and pN, LNR and LODDS was retrospectively analysed. The discriminatory ability and monotonicity of gradients (linear trend χ (2) score), homogeneity ability (likelihood ratio test) and prognostic stratification ability (Akaike information criterion [AIC] and receiver operating characteristic [ROC] curve) were compared among three lymph node staging systems. The pN, LNR and LODDS were all identified as independent prognostic factors for gastric cancer patients in the multivariate analysis. LODDS showed the best prognostic performance (linear trend χ (2) score 266.743, likelihood ratio χ (2) test score 427.771, AIC value 5670.226, area under the curve (AUC) 0.793), followed by LNR and pN. In patients with different levels of retrieved lymph nodes (≤10, 11-14, 15-25 and >25), LODDS was the most powerful for prognostic prediction and discrimination of the heterogeneity among the subgroups. Significant differences in survival were observed among patients in different LODDS subgroups after being classified according to the pN and LNR classifications. LODDS appears to be a more powerful system for predicting the overall survival of gastric cancer patients, as compared to LNR and pN, and may serve as an alternative nodal staging system for gastric cancer.

CD44, Sonic Hedgehog, and Gli1 Expression Are Prognostic Biomarkers in Gastric Cancer Patients after Radical Resection.

Aim. CD44 and Sonic Hedgehog (Shh) signaling are important for gastric cancer (GC). However, the clinical impact, survival, and recurrence outcome of CD44, Shh, and Gli1 expressions in GC patients following radical resection have not been elucidated. Patients and Methods. CD44, Shh, and Gli1 protein levels were quantified by immunohistochemistry (IHC). The association between CD44, Shh, and Gli1 expression and clinicopathological features or prognosis of GC patients was determined. The biomarker risk score was calculated by the IHC staining score of CD44, Shh, and Gli1 protein. Results. The IHC positive staining of CD44, Shh, and Gli1 proteins was correlated with larger tumour size, worse gross type and histological type, and advanced TNM stage, which also predicted shorter overall survival (OS) and disease-free survival (DFS) after radical resection. Multivariate analysis indicated the Gli1 protein and Gli1, CD44 proteins were predictive biomarkers for OS and DFS, respectively. If biomarker risk score was taken into analysis, it was the independent prognostic factor for OS and DFS. Conclusions. CD44 and Shh signaling are important biomarkers for tumour aggressiveness, survival, and recurrence in GC.

Gastric Mucinous Cancer Histology: Clinicopathological Characteristics and Prognostic Value.

MC tended toward worse tumor biological behavior and long-term survival outcome compared to WMDC. Moreover, MC also showed worse clinicopathological features and survival outcome in some selected patients. For these reasons, MC should be deemed as a special histological type of gastric cancer with worse clinicopathological features and survival outcome.

Astrocyte-elevated gene-1 overexpression is associated with poor prognosis in gastric cancer.

Astrocyte-elevated gene-1 (AEG-1) plays an important role in diverse cancers and its up-regulation is associated with poor survival of patients. However, the status of AEG-1 expression and its significance in gastric cancer are still unclear. In this study, the expression of AEG-1 was studied in different gastric cancer cell lines and gastric cancer tissues. Expression of AEG-1 was significantly higher in gastric cancer tissues than that in normal tissues. Overexpression of AEG-1 was found in 62.9% of gastric cancers and significantly associated with TNM stage and Ki-67 proliferation index (P < 0.01). For survival study, overexpression of AEG-1 was significantly associated with poor survival (P < 0.01). Further multivariate analysis suggested that AEG-1 overexpression was an independent prognostic factor for the disease. We demonstrated that inhibition of AEG-1 expression by specific siRNA clearly inhibited SGC-7901 cell growth and enhanced cell apoptosis (P < 0.01). Inhibition of AEG-1 reduced phosphorylation of AKT and glycogen synthase kinase (GSK)-3ß (Ser 9) and decreased the level of ß-catenin, lymphoid enhancer binding factor 1 (LEF1), and Cyclin D1. This indicated that AEG-1 may play a role in Wnt/ß-catenin-mediated cancer progression. Taken together, overexpression of AEG-1 could be a useful prognostic factor in patients with gastric cancer. Targeted inhibition of AEG-1 may provide a novel therapeutic strategy for gastric cancer.