Development of web-based dynamic nomogram to predict survival in patients with gastric cancer: a population-based study

Prognostic Nomogram Combining Preoperative Neutrophil to Lymphocyte Ratio and Clinicopathologic Features for Gastric Cancer Patients after Distal Radical Gastrectomy: Based on Propensity Score Matching

Background: Preoperative inflammatory status has been widely used in assessing the prognosis of malignant tumor. This study aimed to establish a novel nomogram combining preoperative inflammatory factors and clinicopathologic features to predict the prognosis of gastric cancer (GC) patients after distal radical gastrectomy. Methods: A total of 522 GC patients from Fujian Provincial Hospital were retrospectively reviewed. Propensity score matching was performed and Cox regression models were used to analyze the clinical and pathological factors to determine their impact on survival. A prognostic nomogram was established and validated based on these factors. Results: The multivariate analysis indicated that tumor stage, pathological type, and neutrophil to lymphocyte ratio (NLR) were independent risk factors for the prognosis of GC patients. The nomogram was established based on these factors. In the primary cohort, the concordance index (C-index) of the nomogram was 0.753 (95% CI 0.647-0.840), which was higher than that of the American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) stage. The calibration curve showed the actual overall survival (OS) probabilities were in good keeping with those predicted by the nomogram. Furthermore, we divided the patients into two distinct risk groups for OS according to the nomogram points: low and high risk. The OS rates were significantly different among the subgroups (p ˂ 0.001). Conclusions: We proposed a novel nomogram combining preoperative NLR and clinicopathologic features that is economical, routinely available, and highly predictive of OS in GC patients after distal radical gastrectomy. Compared with the current AJCC TNM staging, this model was more accurate in prognostic prediction.

Insulin-like growth factor 1 serum levels in different stages of gastric cancer and their association with Helicobacter pylori status

High serum insulin-like growth factor 1 (IGF-1) and positive Helicobacter pylori (H. pylori) may increase the risk of gastric cancer (GC). We aimed to investigate IGF-1 serum levels in different stages of GC patients and their association with H. pylori status. A total of 90 participants, including 60 GC patients and 30 noncancerous (NC) individuals, were included in the present study. IGF-1 serum levels and candidate proteins were assessed using enzyme-linked immunosorbent and immunohistochemistry techniques. Likewise, Giemsa staining was applied to detect H. pylori infection. The candidate genes' expression, including IGF-1R, PI3KCA, AKT1, mTOR1, KRAS, BRAF, and ERK1, was also evaluated by a real-time PCR assay. The results of advanced GC stages indicated a significantly high IHC score for IGF-1R and phosphorylated AKT, mTOR, and ERK proteins compared to the early stages. Moreover, IGF-1 serum levels and the expression of candidate genes were considerably increased in the advanced GC patients compared to the early stages and the positive H. pylori status compared to the negative H. pylori status (P < 0.05). As a result, high IGF-1 serum levels and positive H. pylori status may be correlated with gastric tumor progression, and the inhibition of IGF-1 and the eradication of H. pylori infection might be new therapeutic targets in GC patients.