Predicting prognosis and immune status in sarcomas by identifying necroptosis-related lncRNAs.

BACKGROUND: Sarcomas are a type of highly heterogeneous malignant tumors originating from mesenchymal tissues. Necroptosis is intricately connected to the oncogenesis and progression of tumors. The main goal of this research is to assess the prognostic value of necroptosis-related lncRNAs (NRlncRNAs) in sarcomas and to develop a risk model based on NRlncRNAs to evaluate prognostic and immune status of the sarcomas. METHODS: We screened NRlncRNAs using the gene co-expression network, developed a prognostic risk model of sarcomas, and then verified the model. Following that, various bioinformatics analysis algorithms were employed to analyze the distinct characteristics of patients of the risk model. Furthermore, the function and regulatory mechanism of NRlncRNA SNHG6 in sarcomas were investigated through osteosarcoma cell experiments, such as qRT-PCR, Western blot, CCK-8, clone formation, and transwell assay. RESULTS: We successfully developed a NRlncRNAs-related prognostic risk model and screened 5 prognosis-related NRlncRNAs, with SNGH6 being the most significant for prognosis of patients. According to results, the significant differences exist in prognosis, clinical characteristics, and tumor immune status among patients of the risk model. The experiments of osteosarcoma cells demonstrated that NRlncRNA SNHG6 knockdown significantly attenuated the cells' proliferation, migration, and invasion. qRT-PCR and WB results showed that SNHG6 regulated AXL and AKT signaling. CONCLUSIONS: We have developed an innovative investigation on NRlncRNAs, which can serve as a reference for diagnosis, therapy, and prognosis of sarcomas. Additionally, we demonstrated that NRlncRNA SNHG6 regulated AXL and AKT signaling in osteosarcoma cells and the proliferation, migration, and invasion of tumor cells.

Predictive Value of Platelet-Related Measures in Patients with Hepatocellular Carcinoma.

Background: Increasing numbers of studies reported platelet (PLT)- related measures could play a creative role in many malignancies, while the prognostic impact of these measures in hepatocellular carcinoma (HCC) remains limited and controversial. It is worth exploring the predictive value of PLT-related measures in HCC. Methods: A total of 279 HCC patients with hepatectomy were analyzed in the retrospective cohort study. The optimal cut-off points of these PLT-related indices were obtained by the receiver operating characteristic (ROC) curve. The associations of these indices with clinical characteristics and overall survival (OS) were evaluated by Kaplan-Meier curves and Cox proportional hazards models. Results: High PLT count and low prognostic nutritional index (low-PNI) were significantly associated with larger tumor size. The low gamma-glutamyl transpeptidase-to-platelet ratio (low-GPR) group was inclined to more hepatitis infections. Survival curves indicated that preoperative high-PLT, low-GPR, and low-PNI had a worse prognosis after surgery in the cohort. In addition, PLT≥220 × 109/L (HR, 2.274; 95% CI, 1.061-4.876; P = .035), PNI≥51.9 (HR, 0.503; 95% CI, 0.265-0.954; P = .035), and GPR≥0.2 (HR, 0.432; 95% CI, 0.204-0.912; P = .028) were identified as independent prognostic factors for survival outcomes in the multivariable analysis. Conclusion: High-PLT, low-GPR, and low-PNI as the preoperative predictors were associated with poor OS in HCC patients with hepatectomy. Our data reveal that they could be simple, easily obtained, and effective predictors for evaluation of survival outcomes in patients.