ObjectiveTo determine the association between solid fuel exposure and cancer risk among middle-aged and elderly adults in China, to investigate the underlying biological pathways through selected serological markers, and to examine whether adequate physical activity can mitigate this risk by modulating these pathways. MethodsBased on baseline characteristics, health status indicators and hematological data from the China Health and Retirement Longitudinal Study (CHARLS, 2011‒2018), multivariate logistic regression analyses were conducted to assess the association between solid fuel use and cancer risk, with stratified analyses conducted by physical activity levels. In addition, mediation analyses were performed to evaluate the role of serological markers including hemoglobin concentration and hematocrit in the association between solid fuel use and cancer incidence. ResultsSolid fuel use was significantly associated with an increased cancer risk (OR=1.344, 95%CI: 1.113‒1.615). This association remained significant among individuals with low levels of physical activity ( OR=1.344, 95%CI: 1.067‒1.673 ), but not statistically significant among those with adequate physical activity. Hemoglobin concentration and hematocrit showed a negative mediating effect between solid fuel use and cancer incidence, and this effect was stronger among those with low levels of physical activity. ConclusionIndoor solid fuel use represents an important environmental risk factor for cancer incidence in China’s middle-aged and elderly population, while regular physical activity may reduce carcinogenic risk through modulation of inflammatory levels and hematological indicators such as hemoglobin and hematocrit. Public health strategies should integrate clean energy promotion with exercise interventions to mitigate the cancer burden associated with solid fuel pollution.

Objective To compare the association of the incidence and mortality of leukemia and the human development index(HDI)in different countries or regions in 2022,and the trend of leukemia incidence and mortality with age in countries with different HDI levels.Methods GLOBOCAN 2022 data related to leukemia incidence and mortality in different countries or regions worldwide and HDI were evaluated by Pearson correlation analysis and Kruskal-Wallis test.The incidence and mortality rates of each age and the age change trend were analyzed using the Joinpoint Regression model.Results Age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and mortality to incidence ratio(M/I)were statistically significantly different among the four groups of HDI countries(P<0.001).HDI was positively correlated with ASIR and ASMR and negatively correlated with M/I.Among all ages,ASIR and ASMR of leukemia of the four groups had similar trends with age,and the risk of leukemia was high at ages less than 15 and more than 40.The incidence of leukemia in all age groups in China differed from those in other countries with high HDI,while the mortality rate was lower than those in other countries with high HDI.Conclusion Countries or regions with higher HDI have higher ASIR and ASMR and lower M/I because of their better medical condition.

Statistics plays an important role in medical research， and the selection of appropriate statistical methods is crucial for drawing reliable and valuable conclusions. This paper provides a brief introduction to commonly used statistical analysis methods for medical data， covering descriptive analysis， parametric test， nonparametric test， correlation analysis， regression analysis， and analysis of survival data. It focuses on discussing the assumptions of multiple linear regression， logistic regression and Cox proportional risk regression， as well as how to choose the appropriate statistical methods for analyzing and interpreting medical data based on different research objectives and data types.

Clinical research reports serve as the presentation of scientific research findings and directly reflect the quality of the research. This article describes the writing of different types of clinical research reports， such as observational studies and randomized controlled trial studies， with a particular focus on randomized controlled trials. Each scientific research design has its reporting focus， and the writing of scientific research papers has uniform requirements and a specific writing format. Mastering the proper format of drafting research reports is of practical value and significant importance for conduction high-quality clinical research.

Abstract: Chronic infection of hepatitis B virus (HBV) is the major cause of hepatocellular carcinoma (HCC) in China. The occurrence of HCC through chronic inflammation follows the Darwinian evolutionary law, known as "mutation-selection-adaptation". Inflammatory mutagenic molecules promote the generation of somatic mutations, and the most mutant cells are eliminated by inflammatory microenvironment. However, a minority of mutant cells survive the selective pressure and develop to tumor initial cells by activating oncogenic signaling pathway and acquiring "stemness" characteristics. Alongside this process, HBV also evolves under the pressure of inflammatory microenvironment, which is characterized by the accumulation of cancer-promoting viral mutations, reducing the ability to infect new individuals. The high-risk mutant strains are eliminated with the death of hosts, leading to a phenomenon termed as "dead-end evolution". HBV evolution contributes to cancer evolution by maintaining the inflammatory microenvironment, activating oncogenic pathways, inducing somatic cell mutations, and altering metabolic patterns. The combo mutations of HBV and HBV integrations can be applied to predict the occurrence and prognosis of HCC. Anti-viral treatment reduces the risk of HCC by relieving inflammation. This article reviews the molecular epidemiological evidence and mechanistic advances related to the co-evolution of HBV and HCC. Clarifying the co-evolutionary pattern of virus and cancer and the key molecular events involved, is beneficial for identifying new biomarkers and therapeutic targets, thus improving the prevention and treatment strategies for HCC.

Objective:To provide scientific basis for prevention and control measures of island regions through analyzing the characteristics of malignant tumor incidence and mortality in eastern island areas of China and comparing the data with the national cancer mortality data in the same period. Methods:Using the incidence and mortality data of malignant tumor in Daishan county,Zhoushan collected by the Daishan Center for Disease Control and Prevention(CDC)from 2014 to 2019,which was stratified by gender,the crude incidence rates(CIR)and crude mortality rates(CMR)were calculated,and the top 10 malignant tumors with the highest incidence or mortality rates were then ranked.The Segi's world standard population was used to calculate the age-standardized incidence(ASIR)and age-standardized mortality rate(ASMR).The local data were compared with the national cancer mortality data from 2014 to 2019,and Chi-square test was used to analyze the differences between these two sets of data using the SPSS software.The difference was considered statistically significant when P<0.05. Results:There was a total of 7 305 incidence cases of malignant tumors in Daishan county,Zhoushan from 2014 to 2019.The CIR was 662.39/105 and the ASIR was 306.81/105.Notably,the CIR was the highest in the age group of 75-79 years old.The top 5 malignant tumors with the highest incidence rates were lung cancer(27.15％),gastric cancer(12.76％),liver cancer(10.95％),colorectal cancer(6.92％)and breast cancer(5.42％),whose ASIR were 75.09/105,32.06/105,31.01/105,17.81/105 and 18.36/105,respectively.There was a total of 3 412 mortality cases of malignant tumors in Daishan county,Zhoushan from 2014 to 2019.The CMR was 309.39/105 and the ASMR was 122.73/105.Notably,the CMR was the highest in the age group of 80-85 years old.The top 5 malignant tumors with the highest mortality rates were lung cancer(24.94％),liver cancer(18.64％),gastric cancer(17.00％),colorectal cancer(7.56％)and esophageal cancer(5.72％),whose ASMR were 29.65/105,24.97/105,19.01/105,8.75/105 and 6.60/105,respectively.The total ASMR of malignant tumors in Daishan county,Zhoushan was higher than national total ASMR from 2014 to 2019(100.34/105)(P<0.001).Specifically,the ASMR of gastric cancer,lung cancer and colorectal cancer in Daishan county were significantly higher than national levels(gastric cancer:12.46/105;liver cancer:16.45/105;colorectal cancer:6.63/105)(P<0.01),whereas no significant difference in the ASMR of lung cancer and esophageal cancer between Daishan county and the whole nation(lung cancer:28.06/105;esophageal cancer:7.61/105)was observed. Conclusion:Lung cancer,gastric cancer,liver cancer and colorectal cancer were malignant tumors with higher incidence and mortality rates in Daishan county,Zhoushan from 2014 to 2019.Particularly,the ASMR of gastric cancer,liver cancer and colorectal cancer were significantly higher than the national levels,and these malignant tumors should be considered as the major focus of cancer prevention and control.

As a limiting factor in telomerase activity,telomerase reverse transcriptase(TERT)controls cellular senescence and apoptosis by maintaining telomere length.TERT is not expressed or little expressed in most normal cells.However,the abnormal overexpression of TERT promotes the ability of tumor cells to replicate indefinitely.This review summarizes the regulatory mechanisms of TERT expression,including the main transcription factor families,single nucleotide polymorphism sites,and epigenetic modification changes such as DNA methylation,histone modification,and non-coding RNA.The role of these molecular mechanisms as well as significant TERT single-base variants and virus integration variants in the occurrence and development of cancer are reviewed.On this basis,its application in tumor diagnosis and prognosis is discussed.

To establish a disease risk prediction model based on genetic susceptibility genes and environmental risk factors， which can target high-risk population as early as possible， and intervene in the environmental risk factors in this population. Moreover， accurate screening of genetically susceptible populations can enhance the efficiency of health system. In recent years， with the maturation and cost reduction of high-throughput gene testing， gene testing has been widely used in individual clinical decision-making and will play a more important role in medical and health decision-making. The correlation between genetic testing and disease risk prediction is increasing， making it a prominent research topic in this field. This review summarizes the approaches for establishing and evaluating risk prediction models and discusses potential future challenges and opportunities.

When facing two or more choices， sound decision-making is critical. In the field of clinical medical practice and public health， more and more researchers use decision-making analysis as an important tool to assist in making the optimal choices. Public health emergencies have the characteristics of group cases， sudden and uncertain. In addition to causing serious damage to public health， they may also have varying degrees of impact on socio-economic， psychological and even social stability. At present， we have not seen the application of mature and sound decision analysis in public health emergency response. This paper reviewed the development of decision analysis in the medical field and the application of common decision-making models in clinical practice. Combined with the current situation of global infectious disease outbreaks and prevention and control， this paper puts forward the concepts and prospects of establishing an auxiliary decision-making system for public health emergencies， aiming to provide a scientific method for medical and health workers to respond to public health emergencies.

The severe acute respiratory syndrome coronavirus 2 （SARS-CoV-2） and its variants are still globally spreading. Vaccines can reduce the mortality， but cannot eliminate the risk of infection. The identification and protection of the high-risk susceptible population remains of great importance for the prevention and control of SARS-CoV2 and other coronavirus infections. Smoking is an important risk factor for many respiratory diseases， and therefore may also influence the risk of SARS-CoV2 infection and the disease progression after infection. This study reviewed the epidemiological and mechanistic evidence supporting the relationship between tobacco exposure and SARS-CoV2 infection， summarized the contributing effects of tobacco exposure to the infection risk， disease severity， and mortality of COVID-19， and analyzed the molecular mechanisms by which cigarette smoking affects COVID-19 through regulating inflammatory microenvironment and gene expression.