ObjectiveTo understand the significance of common gene variations in the diagnosis, treatment, and prognosis of papillary thyroid cancer (PTC). MethodThe literature relevant research on PTC gene variations both domestically and internationally was reviewed. ResultsThe most common genetic variations in the PTC in clinical studies included mutations or rearrangements in BRAF, TERT promoter, RAS, RET, and other genes, which had certain diagnostic value for PTC, but the drugs available for their treatment was relatively limited; Moreover, it had been found that multiple genes co-mutations were also common in the PTC, and the prognosis was often worse. ConclusionsBy sorting out the genetic variations in PTC, new ideas and methods are provided for the diagnosis, treatment, and prognosis of PTC. By detecting the types of genetic variations, the occurrence, development, and prognosis of PTC can be predicted, and personalized treatment plans can be developed for patients with PTC.
Lung cancer is a major cause of cancer mortality worldwide, but the risk factors contributing to its development are not yet fully elucidated. Deepening the understanding of the risk factors and potential complications associated with lung cancer is of significant importance for the prevention and treatment of this disease. Traditional observational clinical studies and randomized controlled trials, due to the influence of various factors, render the process of causal inference more complex and may introduce biases into the results. Compared to the traditional methods, Mendelian randomization (MR) has attracted an increasing amount of attention in lung cancer research, due to its simplicity of operation and effective control of confounding factors and reverse causality biases. This paper employs bibliometric methods to analyze the published MR studies related to lung cancer, and further summarizes and discusses the content of these studies. The findings indicate that traditional risk factors, such as lifestyle habits, nutrition, obesity, socioeconomic factors, environmental pollution, and inflammatory biomarkers, have been substantiated within the context of MR studies. Additionally, MR studies support the existence of causal relationships between lung cancer and certain gut microbiota, medications, and other systemic diseases. Despite the inherent limitations of MR studies, they nonetheless hold significant value in enhancing our comprehension of the etiology of lung cancer and in identifying potential therapeutic interventions.