New perspectives in prognostication of hepatocellular carcinoma:The role and clinical implications of transient receptor potential family genes

The study titled“Transient receptor potential-related risk model predicts prognosis of hepatocellular carcinoma patients”is a significant contribution to hepatocellular carcinoma(HCC)research,highlighting the role of transient receptor potential(TRP)family genes in the disease’s progression and prognosis.Utilizing data from The Cancer Genome Atlas database,it establishes a new risk assessment model,emphasizing the interaction of TRP genes with tumor proliferation pathways,key metabolic reactions like retinol metabolism,and the tumor immune microenvironment.Notably,the overexpression of the TRPC1 gene in HCC correlates with poorer patient survival outcomes,suggesting its potential as a prognostic biomarker and a target for personalized therapy,particularly in strategies combining immunotherapy and anti-TRP agents.

Development of unconventional gas and technologies adopted in China

This study analyses the geological characteristics and development progress of unconventional gas in China,summarizes the development theories and technologies,discusses the prospects and challenges of unconventional gas development,and puts forward the future trends of development technologies.Various technologies of unconventional gas development are available in China.Shale gas development technologies include comprehensive geological evaluation,volume fracturing of cluster horizontal wells under complex stress conditions,and factory-like operation of horizontal wells in complex mountainous area et al.Tight gas development technologies include fluid identification and quantitative prediction,optimization of well patterns,multi-layer fracturing in vertical well,staged fracturing in horizontal well,and drainage gas recovery.Coalbed methane(CBM)development technologies include the prediction of medium-high-and medium-low-rank CBM enrichment areas,rate-variable hydraulic fracturing,and quantitative drainage recovery with five stages,three pressures,and four controls.For economic and effective development of unconventional gas,further efforts should be made.First,intensified studies should be conducted on high-precision prediction and fine characterization technologies of high-quality shale reservoirs in deep marine,continental,and transitional facies.Second,key theories and technologies such as fast drilling and completion of wells with long laterals as well as large-scale volume fracturing should be developed to improve well productivity.Third,new technologies such as multiple well-type development,fluid injection,and nano-flooding should be developed to enhance the recovery.Fourth,effort should be made to identify the accumulation mechanism and large-scale effective development technologies for CBM.Fifth,the application of large amounts of data and artificial intelligence in the entire process of unconventional gas development should be considered to reduce the development cost.

Development and validation of an epithelial–mesenchymal transition-related gene signature for predicting prognosis

BACKGROUND Currently,there are many therapeutic methods for lung adenocarcinoma(LUAD),but the 5-year survival rate is still only 15%at later stages.Epithelial–mesenchymal transition(EMT)has been shown to be closely associated with local dissemination and subsequent metastasis of solid tumors.However,the role of EMT in the occurrence and development of LUAD remains unclear.AIM To further elucidate the value of EMT-related genes in LUAD prognosis.METHODS Univariate,least absolute shrinkage and selection operator,and multivariate Cox regression analyses were applied to establish and validate a new EMT-related gene signature for predicting LUAD prognosis.The risk model was evaluated by Kaplan–Meier survival analysis,principal component analysis,and functional enrichment analysis and was used for nomogram construction.The potential structures of drugs to which LUAD is sensitive were discussed with respect to EMT-related genes in this model.RESULTS Thirty-three differentially expressed genes related to EMT were found to be highly associated with overall survival(OS)by using univariate Cox regression analysis(log2FC≥1,false discovery rate<0.001).A prognostic signature of 7EMT-associated genes was developed to divide patients into two risk groups by high or low risk scores.Kaplan–Meier survival analysis showed that the OS of patients in the high-risk group was significantly poorer than that of patients in the low-risk group(P<0.05).Multivariate Cox regression analysis showed that the risk score was an independent risk factor for OS(HR>1,P<0.05).The results of receiver operator characteristic curve analysis suggested that the 7-gene signature had a perfect ability to predict prognosis(all area under the curves>0.5).CONCLUSION The EMT-associated gene signature classifier could be used as a feasible indicator for predicting OS.