Hydrogen Sulfide Demonstrates Promising Antitumor Efficacy in Gastric Carcinoma by Targeting MGAT5

Mannosyl (alpha-1,6-)-Glycoprotein beta-1,6-N-acetyl-glucosaminyltransferase (MGAT5) is exclusively expressed in gastric carcinoma, and plays an essential role in cancer progression, but no targeted drug is available so far. The potential anti-cancer effect of Hydrogen Sulfide (H₂S), has not been widely recognized. It intrigued broad interest to explore the clinical benefits of cancer therapy, with the current understanding of molecular mechanisms of H₂S which remains very limited. In this study, we identify that H₂S is an effective inhibitor of MGAT5, leading to reduce the expression of exclusively abnormal glycoprotein processes in gastric carcinoma. H₂S specifically dissociation of karyopherin subunit alpha-2 (KPNA2) with Jun proto-oncogene (c-Jun) interaction, and blocking c-Jun nuclear translocation, and downregulation of MGAT5 expression at the level of gene and protein. Consequently, H₂S impairs growth and metastasis in gastric carcinoma by targeting inhibits MGAT5 activity. In an animal tumor model study, H₂S is well tolerated, inhibits gastric carcinoma growth and metastasis. Our preclinical work therefore supports that H₂S acts as a novel inhibitor of MGAT5 that block tumorigenesis in gastric carcinoma. SIGNIFICANCE: This study shows that H₂S can effective targeting inhibits MGAT5 activity, and demonstrates promising antitumor efficacy. These findings gain mechanistic insights into the anti-cancer capacity of H₂S and may provide useful information for the clinical explorations of H₂S in cancer treatment.     

Targeting the mTOR regulatory network in hepatocellular carcinoma: Are we making headway?

The mechanistic target of rapamycin (mTOR) pathway coordinates organismal growth and homeostasis in response to growth factors, nutrients, and cellular energy stage. The pathway regulates several major cellular processes and is implicated in various pathological conditions, including hepatocellular carcinoma (HCC). This review summarizes recent advances of the mTOR pathway, highlights the potential of the mTOR pathway as a therapeutic target, and explores clinical trials targeting the mTOR pathway in HCC. Although the review focuses on the mTOR pathway involved in HCC, more comprehensive discussions (eg, developing a rational design for future trials targeting the mTOR pathway) are also applicable to other tumors.     

An artificial neural network model of the landscape pattern in Shanghai metropolitan region,China

To characterize the urbanization pattern quantitatively,a study on the mechanisms of the landscape pattern formation could facilitate the understanding on urban landscape patterns and processes,the ecological and socioeconomic consequences of urbanization,as well as the establishment of more effective strategies for landscape management.In this study,we integrated a Geographic Information System (GIS)-based analysis on landscape pattern with an artificial neural network (ANN) to quantitatively characterize the urbanization pattern of the metropolitan area of Shanghai,China,and to establish an ANN model that could preferably simulate the responses of urban landscape pattern to the natural and socioeconomic factors such as residence area,road density,population density,urban development history and the Huangpu River as an element of economic change.Our results showed that the ANN model seems appropriate for studying the nonlinear relationship among the forcing factors of urbanization and the urban landscape patterns,which provided an effective and practical approach for further understanding the mechanisms of the landscape formation pattern and the reciprocal relationship between landscape spatial pattern and ecological process.