Establishment of a Novel Prognostic Prediction Model for Gastric Cancer Based on Necroptosis-Related Genes.

Background: Necroptosis plays a crucial role in the progression of multiple types of cancer. However, the role of necroptosis in gastric cancer (GC) remains unclear. The aim of this study is to establish a necroptosis-related prediction model, which could provide information for treatment monitoring. Methods: The TCGA-STAD cohort was employed to establish a prognostic prediction signature and the GEO dataset was employed for external validation. The correlation between the risk score and the immune landscape, tumor mutational burden (TMB), microsatellite instability (MSI), as well as therapeutic responses of different therapies were analyzed. Results: We constructed a prognostic model based on necroptosis-associated genes (NAGs), and its favorable predictive ability was confirmed in an external cohort. The risk score was confirmed as an independent determinant, and a nomogram was further established for prognosis. A high score implies higher tumor immune microenvironment (TIME) scores and more significant TIME cell infiltration. High-risk patients presented with lower TMB, and low-TMB patients had worse overall survival (OS). Meanwhile, Low-risk scores are characterized by MSI-high (MSI-H), lower Tumor Immune Dysfunction and Exclusion (TIDE) score, and higher immunogenicity in immunophenoscore (IPS) analysis. Conclusion: The developed NAG score provides a novel and effective method for predicting the outcome of GC as well as potential targets for further research.

Clinical impact of pretreatment albumin-globulin ratio in patients with colorectal cancer: A meta-analysis.

BACKGROUND: Accumulating evidence have revealed that pretreatment albumin to globulin ratio (AGR) may be a predictor of prognosis among patients with colorectal cancer (CRC). However, these findings are inconsistent. The aim of the present study was to investigate the prognostic value of pretreatment AGR in CRC. METHODS: A systematic meta-analysis was conducted by searching MEDLINE, EMBASE, and Cochrane Library databases. RESULTS: A total of 9 studies with 7939 patients were finally included. Low pretreatment AGR was associated with worse overall survival (pooled hazard ratio [HR]: 2.07, 95% CI: 1.60-2.67, P < .001) and disease-free survival/progress-free survival (pooled hazard ratio [HR]: 2.10, 95% confidence interval [CI]: 1.34-3.31, P = .001). Subgroup analyses revealed that the pooled correlation did not alter these results. Moreover, low pretreatment AGR were associated with elderly patients, tumor diameter (≥50 mm), tumor node metastasis stage (III-IV), depth of tumor (T3-4), and CA19-9 (>37 U/mL). CONCLUSION: The present meta-analysis suggests that low pretreatment AGR was associated with advanced clinicopathological features and worse prognosis, suggesting AGR is a useful prognostic biomarker for CRC patients.