A Comprehensive Prognostic and Immune Analysis of Ferroptosis-Related Genes Identifies SLC7A11 as a Novel Prognostic Biomarker in Lung Adenocarcinoma.

Lung adenocarcinoma (LUAD) is still one of the illnesses with the greatest mortality and morbidity. As a recently identified mode of cellular death, the activation of ferroptosis may promote the effectiveness of antitumor therapies in several types of tumors. However, the expression and clinical significance of Ferroptosis-associated genes in LUAD are still elusive. The RNA sequencing data of LUAD and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) datasets. Subsequently, potential prognostic biomarkers were determined by the use of biological information technology. The R software package "ggalluvial" was applied to structure Sanguini diagram. Herein, our team screened 14 dysregulated ferroptosis-associated genes in LUAD. Among them, only four genes were associated with clinical outcome of LUAD patients, including ATP5MC3, FANCD2, GLS2, and SLC7A11. In addition, we found that high SLC7A11 expression predicted an advanced clinical progression in LUAD patients. Additionally, 8 immune checkpoint genes and 7 immune cells for LUAD were recognized to be related to the expression of SLC7A11. KEGG assays indicated that high expression of SLC7A11 might participate in the modulation of intestinal immune network for IgA generation and Staphylococcus aureus infection. Overall, our findings revealed that SLC7A11 might become a potentially diagnostic biomarker and SLC7A11 might serve as an independent prognosis indicator for LUAD.

Prognostic nomogram for hepatocellular carcinoma patients after transarterial chemoembolization based on des-γ-carboxy prothrombin reactivity and modified Response Evaluation Criteria in Solid Tumors.

AIMS: The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE). MATERIALS AND METHODS: Imaging data, clinical characteristics, and serum des-γ-carboxy prothrombin (DCP) levels of 93 HCC patients treated with TACE were collected. Lasso regression, random forest, and other methods were used to screen the OS-related variables and construct the Cox prognosis model. The model was visualized by nomogram, and the net benefit of the clinical decision was assessed by decision curve analysis (DCA). RESULTS: It was found that DCP level after TACE was an important predictor of OS in HCC patients. The OS of the patients with lower serum DCP levels after TACE was significantly better than the group with higher levels (P = 0.003). The Cox prognostic model was constructed using four predictors including DCP reactivity (P = 0.001), modified Response Evaluation Criteria in Solid Tumors (mRECIST, P = 0.005), Child-Pugh class (P = 0.018), and portal vein thrombosis (P = 0.039). The C-index of the nomogram for OS of patients after TACE was 0.813. The clinical decision-making net benefits based on the nomogram were better than the decision-making based on the TNM stage system. CONCLUSION: DCP reactivity and mRECIST are the key predictors of prognosis in HCC patients that received TACE as their initial treatment. The nomogram constructed with these two indicators as the core could predict the OS of HCC patients after TACE and help in clinical decision-making.