Gliotoxin Induced Ferroptosis by Downregulating SUV39H1 Expression in Esophageal Cancer Cells.

Background: Gliotoxin, a secondary metabolite isolated from marine-derived Aspergillus fumigatus, has demonstrated anti-tumor properties in several cancers. Ferroptosis, a recently discovered type of programmed cell death that depends on the accumulation of iron and lipid peroxides, participates in the occurrence and development of various diseases, including cancer. A recent patent, US20200383943, has suggested that the promotion of ferroptosis is a method of cancer treatment.

Corrigendum: Hinokiflavone Inhibits Growth of Esophageal Squamous Cancer By Inducing Apoptosis Regulation of the PI3K/AKT/mTOR Signaling Pathway.

[This corrects the article DOI: 10.3389/fonc.2022.

The MLR, NLR, PLR and D-dimer are associated with clinical outcome in lung cancer patients treated with surgery.

Objective: The study objective was to investigate the use of peripheral blood biomarkers as predictors of patient survival. The aim of this study was to identify the baseline peripheral blood biomarkers associated with clinical outcome in patients with early lung cancer (stage I-II) treated with surgery.

Methods: We included and analysed data from 376 patients with early-stage lung cancer who underwent a standard lobectomy.

Hinokiflavone Inhibits Growth of Esophageal Squamous Cancer By Inducing Apoptosis Regulation of the PI3K/AKT/mTOR Signaling Pathway.

Background: Globally, esophageal cancer ranks as the seventh most common cancer. Esophageal squamous cell carcinoma (ESCC) is one of its major histological types. ESCC accounts for the vast majority of cases in China, and the mortality rate is high.

Metastasis pattern and prognosis in men with esophageal cancer patients: A SEER-based study.

Esophageal cancer (EC) is relatively common; at the time of diagnosis, 50% of cases present with distant metastases, and most patients are men. This study aimed to examine and compare the clinicopathological characteristics and metastatic patterns of male EC (MEC) and female EC (FEC). In addition, risk factors associated with MEC prognosis were evaluated.

Hepatic Metastasis in Newly Diagnosed Esophageal Cancer: A Population-Based Study.

Background: The hepatic metastasis pattern of esophageal cancer (EC) has not been fully explored. The primary objective of this study was to explore the predictors of esophageal cancer with hepatic metastasis (ECHM) at the time of diagnosis. In addition, we also analyzed the factors affecting ECHM prognosis.

Systematic profiling of ferroptosis gene signatures predicts prognostic factors in esophageal squamous cell carcinoma.

We developed a predictive model associated with ferroptosis to provide a more comprehensive view of esophageal squamous cell carcinoma (ESCC) immunotherapy. Gene expression data and corresponding clinical outcomes were obtained from the GEO and The Cancer Genome Atlas (TCGA) databases, and a ferroptosis-related gene set was obtained from the FerrDb database. We identified 45 ferroptosis-related genes that were differentially expressed, including enrichment in genes involved in the immune system process.

Lung Metastases in Newly Diagnosed Esophageal Cancer: A Population-Based Study.

Background: Esophageal cancer is one of the most common cancer types, with its most common distant metastatic site being the lung. Currently, population-based data regarding the proportion and prognosis of patients with esophageal cancer with lung metastases (ECLM) at the time of diagnosis is insufficient. Therefore, we aimed to determine the proportion of patients with ECLM at diagnosis, as well as to investigate the prognostic parameters of ECLM.

Potential role of glucosamine-phosphate N-acetyltransferase 1 in the development of lung adenocarcinoma.

Glucosamine-phosphate N-acetyltransferase 1 (GNPNAT1) is a key enzyme associated with glucose metabolism and uridine diphosphate-N-acetylglucosamine biosynthesis. Abnormal expression might be associated with carcinogenesis. We analyzed multiple lung adenocarcinoma (LUAD) gene expression databases and verified higher expression in LUAD tumor tissues than in normal tissues.