High-quality microvascular anastomosis is the foundation of successful microsurgery and one of the most important basic skills for microsurgeons. The traditional manual suture is recognized as the “gold standard” fo...High-quality microvascular anastomosis is the foundation of successful microsurgery and one of the most important basic skills for microsurgeons. The traditional manual suture is recognized as the “gold standard” for microvascular anastomosis, but it still has problems such as long operation time and easy to cause vascular damage. In order to improve the success rate of microvascular anastomosis, reduce surgical complications and make the prognosis of patients better. In order to improve the success rate of microvascular anastomosis and reduce the surgical complications, scholars at home and abroad have developed some new vascular anastomosis techniques that are simple, fast and minimally invasive while improving the traditional surgical suturing methods. In this paper, we review the microvascular anastomosis, and its application research in two methods of traditional hand suture and non-suture anastomosis, in order to promote the application development of microvascular anastomosis.展开更多
Aim:This study focused on developing a prognostic index model associated with ferroptosis for predicting prostate cancer(PCa)relapse and progression.The aim was to enhance clinical decision making and improve immunoth...Aim:This study focused on developing a prognostic index model associated with ferroptosis for predicting prostate cancer(PCa)relapse and progression.The aim was to enhance clinical decision making and improve immunotherapy strategies for PCa patients,ultimately leading to better patient outcomes.Methods:The study employed the least absolute shrinkage and selection operator to develop the Ferroptosisrelated gene(FRG)prognostic index model.This model's predictive power was validated across multiple PCa datasets,and its correlation with clinicopathological factors was investigated.Kyoto Encyclopedia of Genes and Genomes pathway and Gene Ontology analyses were conducted to identify associated signaling pathways.Furthermore,the CIBERSORT algorithm was used to assess PCa patient outcomes based on the combination of the FRGs risk index and immune cell infiltration patterns.Results:The FRG index model emerged as an independent predictor of PCa recurrence.It correlated with advanced pathological stages,higher prostate-specific antigen levels,and higher tumor grades.Notably,the FRG index was significantly associated with immune cell infiltration,particularly activated mast cells,which are crucial in PCa recurrence and progression.Furthermore,the response of the FRG index in PCa cell lines implies that doxorubicin may hold clinical efficacy for recurrent PCa.Conclusion:The FRG index established here could serve as a valuable prognostic tool and clinical decision-making aid in PCa.It offers insights into the molecular mechanisms underlying PCa progression and suggests new avenues for immunotherapeutic strategies,potentially leading to improved patient outcomes and a better understanding of PCa biology.展开更多
文摘High-quality microvascular anastomosis is the foundation of successful microsurgery and one of the most important basic skills for microsurgeons. The traditional manual suture is recognized as the “gold standard” for microvascular anastomosis, but it still has problems such as long operation time and easy to cause vascular damage. In order to improve the success rate of microvascular anastomosis, reduce surgical complications and make the prognosis of patients better. In order to improve the success rate of microvascular anastomosis and reduce the surgical complications, scholars at home and abroad have developed some new vascular anastomosis techniques that are simple, fast and minimally invasive while improving the traditional surgical suturing methods. In this paper, we review the microvascular anastomosis, and its application research in two methods of traditional hand suture and non-suture anastomosis, in order to promote the application development of microvascular anastomosis.
基金supported by the Natural Science Basic Research Program of Shaanxi Province(#2023-JCQN-0239)the National Department of Education Central Universities Research Fund(#GK202207004)+1 种基金the University-Industry Collaborative Education Program(#231005940204433)to Wang LYthe National Natural Science Foundation of China(#82000512)to Huang YM.
文摘Aim:This study focused on developing a prognostic index model associated with ferroptosis for predicting prostate cancer(PCa)relapse and progression.The aim was to enhance clinical decision making and improve immunotherapy strategies for PCa patients,ultimately leading to better patient outcomes.Methods:The study employed the least absolute shrinkage and selection operator to develop the Ferroptosisrelated gene(FRG)prognostic index model.This model's predictive power was validated across multiple PCa datasets,and its correlation with clinicopathological factors was investigated.Kyoto Encyclopedia of Genes and Genomes pathway and Gene Ontology analyses were conducted to identify associated signaling pathways.Furthermore,the CIBERSORT algorithm was used to assess PCa patient outcomes based on the combination of the FRGs risk index and immune cell infiltration patterns.Results:The FRG index model emerged as an independent predictor of PCa recurrence.It correlated with advanced pathological stages,higher prostate-specific antigen levels,and higher tumor grades.Notably,the FRG index was significantly associated with immune cell infiltration,particularly activated mast cells,which are crucial in PCa recurrence and progression.Furthermore,the response of the FRG index in PCa cell lines implies that doxorubicin may hold clinical efficacy for recurrent PCa.Conclusion:The FRG index established here could serve as a valuable prognostic tool and clinical decision-making aid in PCa.It offers insights into the molecular mechanisms underlying PCa progression and suggests new avenues for immunotherapeutic strategies,potentially leading to improved patient outcomes and a better understanding of PCa biology.
