Distinct immune signatures for predicting the immunotherapy efficacy of esophageal squamous cell carcinoma or adenocarcinoma.

Esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) are distinct histological subtypes of esophageal cancer. The tumor microenvironment of each subtype significantly influences the efficacy of immunotherapy. However, the characteristics of the tumor microenvironments of both subtypes, as well as their specific impacts on immunotherapy outcomes, still require further elucidation.

Catalpol ameliorates liver fibrosis via inhibiting aerobic glycolysis by EphA2/FAK/Src signaling pathway.

Background: Hepatic fibrosis is a pathological process in a variety of acute or chronic liver injuries. Catalpol (CAT), an iridoid glycoside found in Rehmannia glutinosa, has several pharmacological properties, including anti-inflammatory, antidiabetic and anti-fibrotic effects. Nevertheless, there is currently no report on whether CAT regulates the aerobic glycolysis of hepatic stellate cells (HSCs) to inhibit liver fibrosis.

Construction and analysis of protein-protein interaction network for esophageal squamous cell carcinoma.

Esophageal squamous cell carcinoma (ESCC) is a prevalent malignant tumor of the digestive tract. Clinical findings reveal that the five-year survival rate for mid-to late-stage ESCC patients is merely around 20 %, whereas those diagnosed at an early stage can achieve up to a 95 % survival rate. Consequently, early detection is paramount to improving ESCC patient survival.

Enhancing the Thermoelectric and Mechanical Properties of p-Type PbS through Band Convergence and Microstructure Regulation.

While lead sulfide shows notable thermoelectric properties, its production costs remain high, and its mechanical hardness is low, which constrains its commercial viability. Herein, we demonstrate a straightforward and cost-effective method to produce PbS nanocrystals at ambient temperature. By introducing controlled amounts of silver, we achieve p-type conductivity and fine-tune the energy band structure and lattice configuration.

Tectorigenin improves metabolic dysfunction-associated steatohepatitis by down-regulating tRF-3040b and promoting mitophagy to inhibit pyroptosis pathway.

Tectorigenin (TEC) as a plant extract has the advantage of low side effects on metabolic dysfunction-associated steatohepatitis (MASH) treatment. Our previous study have shown that tRNA-derived RNA fragments (tRFs) associated with autophagy and pyroptosis in MASH, but whether TEC can mitigate MASH through tRFs-mediated mitophagy is not fully understood. This study aims to investigate whether TEC relies on tRFs to adjust the crosstalk of hepatocyte mitophagy with pyroptosis in MASH.

Network pharmacology and transcriptomic profiling elucidate the therapeutic effects of Thunb on liver fibrosis via MK3-NF-κB inhibition.

Activation of hepatic stellate cells (HSCs) is critical in the progression of liver fibrosis and is a promising target for anti-hepatic fibrosis drug development. Moreover, effective pharmacological interventions targeting this pathomechanism are scarce. Our study confirms the therapeutic value of β-sitosterol, a major constituent of Thunb, in hepatic fibrosis and identifies its underlying mechanisms.

Anlotinib Attenuates Liver Fibrosis by Regulating the Transforming Growth Factor β1/Smad3 Signaling Pathway.

Background: Hepatic stellate cell hyperactivation is a central link in liver fibrosis development, transforming growth factor β1 (TGF-β1) is a key activator of HSCs.

Aims: This study investigated whether anlotinib attenuates CCl4 induced liver fibrosis in mice and explored its antifibrotic mechanism.

Methods: We used the human hepatic stellate cell line LX-2 for in vitro assays and used TGF-β1 to induce hepatic fibrosis in LX-2 cells.

Exploring Material Properties and Device Output Performance of a Miniaturized Flexible Thermoelectric Generator Using Scalable Synthesis of BiSe Nanoflakes.

Environmental heat-to-electric energy conversion presents a promising solution for powering sensors in wearable and portable devices. However, the availability of near-room temperature thermoelectric (TE) materials is highly limited, posing a significant challenge in this field. BiSe, as a room-temperature TE material, has attracted much attention.

Integration of IDPC Clustering Analysis and Interpretable Machine Learning for Survival Risk Prediction of Patients with ESCC.

Precise forecasting of survival risk plays a pivotal role in comprehending and predicting the prognosis of patients afflicted with esophageal squamous cell carcinoma (ESCC). The existing methods have the problems of insufficient fitting ability and poor interpretability. To address this issue, this work proposes a novel interpretable survival risk prediction method for ESCC patients based on extreme gradient boosting improved by whale optimization algorithm (WOA-XGBoost) and shapley additive explanations (SHAP).

TANGO1 interacts with NRTN to promote hepatocellular carcinoma progression by regulating the PI3K/AKT/mTOR signaling pathway.

Transport and Golgi organization 1 (TANGO1) also known as MIA3, belongs to the melanoma inhibitory activity gene (MIA) family together with MIA, MIA2 and OTOR; these members play different roles in different tumors, but the mechanism underlying TANGO1s effect on hepatocellular carcinoma (HCC) is unclear. Our study confirmed that TANGO1 is a promoter of HCC, In HCC cells, TANGO1 can promote proliferation, inhibit apoptosis, promote EMT. These changes were reversed after TANGO1 inhibition.

Long-term effect of hospital volume on the postoperative prognosis of 158,618 patients with esophageal squamous cell carcinoma in China.

Background: The impact of hospital volume on the long-term survival of esophageal squamous cell carcinoma (ESCC) has not been well assessed in China, especially for stage I-III stage ESCC. We performed a large sample size study to assess the relationships between hospital volume and the effectiveness of ESCC treatment and the hospital volume value at the lowest risk of all-cause mortality after esophagectomy in China.

Aim: To investigate the prognostic value of hospital volume for assessing postoperative long-term survival of ESCC patients in China.

The High Expression of p53 Is Predictive of Poor Survival Rather Mutation in Esophageal Squamous Cell Carcinoma.

is a well-known tumor suppressor gene and one of the most common genetic alterations in human cancers. However, the role of p53 as a prognostic marker of esophageal squamous cell carcinoma (ESCC) is controversial in the association between alterations and clinical outcomes. To address this issue, we evaluated mutations, p53 protein expression, clinicopathological parameters, and survivals rates in a large scale of patients with ESCC.

Effects of short-term waterfall forest aerosol air exposure on rat lung proteomics.

Background: Chronic exposure to airborne microparticles has been shown to increase the incidence of several chronic diseases. Previous studies have found that waterfall forest aerosols contribute to a diminished immune stress response in patients with asthma. However, the specific effects of short-term waterfall forest aerosol exposure on lung proteins have not been fully elucidated.

Protective effect of endothelial progenitor cell-derived exosomal microRNA-382-3p on sepsis-induced organ damage and immune suppression in mice.

Objective: To explore the role of endothelial progenitor cell (EPC)-derived exosomal microRNA-382-3p (miR-382-3p) in septic injury in mice.

Methods: A murine model of sepsis was introduced by cecal ligation and puncture (CLP). The model mice were treated with EPC-derived exosomes (Exos).

Krüppel-like Factor 13 Promotes HCC Progression by Transcriptional Regulation of HMGCS1-mediated Cholesterol Synthesis.

Background And Aims: Krüppel-like factor (KLF) has a role in the occurrence, development and metabolism of cancer. We aimed to explore the role and potential molecular mechanism of KLF13 in the growth and migration of liver cancer cells.

Methods: The expression of KLF13 in hepatocellular carcinoma (HCC) tissues was higher than that in normal tissues according to analysis of The Cancer Genome Atlas (TCGA) database.

Multistrategy Improved Sparrow Search Algorithm Optimized Deep Neural Network for Esophageal Cancer.

Deep neural network is a complex pattern recognition network system. It is widely favored by scholars for its strong nonlinear fitting ability. However, training deep neural network models on small datasets typically realizes worse performance than shallow neural network.

Clinicopathological characterization of ten patients with primary malignant melanoma of the esophagus and literature review.

Background: Primary malignant melanoma of the esophagus (PMME) is a rare malignant disease and has not been well characterized in terms of clinicopathology and survival.

Aim: To investigate the clinical features and survival factors in Chinese patients with PMME.

Methods: The clinicopathological findings of ten cases with PMME treated at Henan Provincial People's Hospital were summarized.

Mechanism of the Huangguoshu waterfall forest environment's promotive effect on human health in Guizhou, China.

Background: The aim of this study was to investigate the specific mechanisms underlying the human health-promoting effects of the forest environment at Huangguoshu Falls, Guizhou, China.

Methods: Ninety-five participants were recruited and an eye tracker was used to record fixation and sweep indices. A questionnaire was also used to evaluate the effects of different subject environments on human emotions, perceived recovery and preferences.

Alpha-linolenic acid inhibits hepatocellular carcinoma cell growth through Farnesoid X receptor/β-catenin signaling pathway.

Background: Altered lipid profiles are frequently present in cancer, and it is necessary to elucidate the role of changed lipid profiles in hepatocellular carcinoma (HCC). We conducted this study to investigate the changed lipid profile in HCC tissues and discover some remarkably changed lipid components, and to explore the function of changed lipid components in HCC development.

Methods: Gas chromatography/mass spectrometer (GC/MS analysis) was employed to measure the abundance of fatty acids between HCC tissues and adjacent noncancerous tissues.

Survival Risk Prediction of Esophageal Squamous Cell Carcinoma Based on BES-LSSVM.

Esophageal squamous cell carcinoma (ESCC) is one of the highest incidence and mortality cancers in the world. An effective survival prediction model can improve the quality of patients' survival. In this study, ten indicators related to the survival of patients with ESCC are founded using genetic algorithm feature selection.

Survival Prediction Model for Patients with Esophageal Squamous Cell Carcinoma Based on the Parameter-Optimized Deep Belief Network Using the Improved Archimedes Optimization Algorithm.

Esophageal squamous cell carcinoma (ESCC) is one of the highest incidence and mortality cancers in the world. An effective survival prediction model can improve the quality of patients' survival. Therefore, a parameter-optimized deep belief network based on the improved Archimedes optimization algorithm is proposed in this paper for the survival prediction of patients with ESCC.

Increased prognostic value of clinical-reproductive model in Chinese female patients with esophageal squamous cell carcinoma.

Background: In China, it has been well recognized that some female patients with esophageal squamous cell carcinoma (ESCC) have different overall survival (OS) time, even with the same tumor-node-metastasis (TNM) stage, challenging the prognostic value of the TNM system alone. An effective predictive model is needed to accurately evaluate the prognosis of female ESCC patients.

Aim: To construct a novel prognostic model with clinical and reproductive data for Chinese female patients with ESCC, and to assess the incremental prognostic value of the full model compared with the clinical model and TNM stage.