Objective:Various studies have suggested that metabolic genes play a significant role in papillary thyroid cancer(PTC).The current study aimed to identify a metabolic signature related biomarker to predict the prognos...Objective:Various studies have suggested that metabolic genes play a significant role in papillary thyroid cancer(PTC).The current study aimed to identify a metabolic signature related biomarker to predict the prognosis of patients with PTC.Methods:We conducted a comprehensive analysis on the data obtained from the Cancer Genome Atlas(TCGA)database.The correlation between survival result and metabolic genes was evaluated based on the univariate Cox analyses,least absolute shrinkage and selection operator(LASSO)and multivariate Cox analyses.The performance of a 7-gene signature was assessed according to Kaplan-Meier and receiver operating characteristic(ROC)analysis.Multivariate Cox regression analysis was adopted to unearth clinical factors related to the recurrence free survival(RFS)of patients with PTC.Finally,a prognostic nomogram was developed based on risk score,cancer status and cancer width to improve the prediction for RFS of PTC patients.Results:Seven metabolic genes were used to establish the prognostic model.The ROC curve and C-index exhibited high value in training,testing and the whole TCGA datasets.The established nomogram,incorporating the 7-metabolic gene signature and clinical factors,was able to predict the RFS with high effectiveness.The 7-metabolic gene signature-based nomogram had a good performance to predict the RFS of patients with PTC.Conclusion:Our study identified a 7-metabolic gene signature and established a prognostic nomogram,which were useful in predicting the RPS of PTC.展开更多
Under the guidance of the approach which integrates molecular networking,MolNetEnhancer and Net-work Annotation Propagation(NAP),daphnaltaicanoids A and B(1 and 2)with unprecedented 9-oxa-tetracyclo[6.6.1.0^(2,6).0^(8...Under the guidance of the approach which integrates molecular networking,MolNetEnhancer and Net-work Annotation Propagation(NAP),daphnaltaicanoids A and B(1 and 2)with unprecedented 9-oxa-tetracyclo[6.6.1.0^(2,6).0^(8,13)]pentadecane and tetracyclo[5.3.0.1^(2,5).2^(4,11)]tridecane central frameworks were iso-lated from Daphne altaica Pall.,representing two types of unparalleled meroterpenoid cores.Their struc-tures were elucidated by extensive spectroscopic analysis,nuclear magnetic resonance(NMR)calcula-tions,DP4+analysis and electronic circular dichroism(ECD)calculations.The plausible biosynthetic path-ways for 1 and 2 were postulated.Biologically,2 exerted potent neuroprotective activities which were su-perior to trolox at 12.5 and 25μmol/L.Moreover,1 and 2 exhibited more noticeable acetylcholinesterase inhibitory activities than donepezil.Molecular docking simulations were performed to explore the inter-molecular interaction of compounds 1 and 2 with acetylcholinesterase.The bioactivity evaluation results highlight the prospects of 1 and 2 as a novel category of neurological agents.展开更多
基金supported by the National Natural Science Foundation of China(No.81702397).
文摘Objective:Various studies have suggested that metabolic genes play a significant role in papillary thyroid cancer(PTC).The current study aimed to identify a metabolic signature related biomarker to predict the prognosis of patients with PTC.Methods:We conducted a comprehensive analysis on the data obtained from the Cancer Genome Atlas(TCGA)database.The correlation between survival result and metabolic genes was evaluated based on the univariate Cox analyses,least absolute shrinkage and selection operator(LASSO)and multivariate Cox analyses.The performance of a 7-gene signature was assessed according to Kaplan-Meier and receiver operating characteristic(ROC)analysis.Multivariate Cox regression analysis was adopted to unearth clinical factors related to the recurrence free survival(RFS)of patients with PTC.Finally,a prognostic nomogram was developed based on risk score,cancer status and cancer width to improve the prediction for RFS of PTC patients.Results:Seven metabolic genes were used to establish the prognostic model.The ROC curve and C-index exhibited high value in training,testing and the whole TCGA datasets.The established nomogram,incorporating the 7-metabolic gene signature and clinical factors,was able to predict the RFS with high effectiveness.The 7-metabolic gene signature-based nomogram had a good performance to predict the RFS of patients with PTC.Conclusion:Our study identified a 7-metabolic gene signature and established a prognostic nomogram,which were useful in predicting the RPS of PTC.
基金supported by the National Natural Science Foundation of China(Nos.82073736,81872766)Science and Technology Planning Project of Liaoning Province(No.2021JH1/10400049)Liaoning revitalization talents program(Nos.XLYC2002066,XLYC2007180).
文摘Under the guidance of the approach which integrates molecular networking,MolNetEnhancer and Net-work Annotation Propagation(NAP),daphnaltaicanoids A and B(1 and 2)with unprecedented 9-oxa-tetracyclo[6.6.1.0^(2,6).0^(8,13)]pentadecane and tetracyclo[5.3.0.1^(2,5).2^(4,11)]tridecane central frameworks were iso-lated from Daphne altaica Pall.,representing two types of unparalleled meroterpenoid cores.Their struc-tures were elucidated by extensive spectroscopic analysis,nuclear magnetic resonance(NMR)calcula-tions,DP4+analysis and electronic circular dichroism(ECD)calculations.The plausible biosynthetic path-ways for 1 and 2 were postulated.Biologically,2 exerted potent neuroprotective activities which were su-perior to trolox at 12.5 and 25μmol/L.Moreover,1 and 2 exhibited more noticeable acetylcholinesterase inhibitory activities than donepezil.Molecular docking simulations were performed to explore the inter-molecular interaction of compounds 1 and 2 with acetylcholinesterase.The bioactivity evaluation results highlight the prospects of 1 and 2 as a novel category of neurological agents.