Objective    To establish the gene-based esophageal cancer (ESCA) risk score prediction models via whole transcriptome analysis to provide ideas and basis for improving ESCA treatment strategies and patient prognosis. Methods    RNA sequencing data of esophageal squamous cell carcinoma (ESCC), esophageal adenocarcinoma (EAC) and adjacent tissues were obtained from The Cancer Genome Atlas database. The edgeR method was used to screen out the differential genes between ESCA tissue and normal tissue, and the key genes affecting the survival status of ESCC and EAC patients were initially identified through univariate Cox regression analysis. The least absolute shrinkage and selection operator regression analysis and multivariate Cox regression analysis were used to further screen genes and establish ESCC and EAC risk score prediction models. Results    The risk score prediction models were the independent prognostic factors for ESCA, and the risk score was significantly related to the survival status of patients. In ESCC, the risk score was related to T stage. In EAC, the risk score was related to lymph node metastasis, distant metastasis and clinical stage. The constructed nomogram based on risk score showed good predictive ability. In ESCC, the risk score was related to tumor immune cell infiltration and the expression of immune checkpoint genes. However, this feature was not obvious in EAC. Conclusion 聽 聽The ESCC and EAC risk score prediction models have shown good predictive capabilities, which provide certain inspiration and basis for optimizing the management of ESCA and improving the prognosis of patients.

Objective:To discuss the characteristics of common diseases of fighter pilots and provide evidence and support for improving the health level and combat capabilities of Chinese fighter pilots by the Meta-analysis of disease spectrum.Methods:The information of disease spectrum of Chinese fighter pilots was extracted from the literatures collected by SinoMed, China Academic Journal Network Publishing Database, China Scientific Journal Database, Wanfang Data and PubMed before December of 2020. STATA 16 and SPSS 26 software were used to make system evaluation for the constituent ratio of single disease, and the diseases were analyzed in subgroups by years.Results:Seventeen literatures, that published from 2002 to 2020, were collected for Meta-analysis and 9 431 persons were involved (aged from 20 to 60 years) based on the statistical analysis from 1965 to 2019. The results indicated metabolic diseases, spinal diseases, aviation occupational diseases, hepatobiliary diseases, etc.. The Meta-analysis showed that the proportion of spinal diseases was 29.5% (95 %CI was 20.8%~38.2%, I2=99.0%), metabolic diseases was 22.2% (95 %CI was 12.5%~31.8%, I2=99.5%), valvulopathy and arrhythmia was 15.1% (95 %CI was 7.3%~22.8%, I2=97.0%), aviation occupational diseases was 14.3% (95 %CI was 8.2%~20.4%, I2=94.4%), hepatobiliary diseases was 10.5% (95 %CI was 5.4%~15.5%, I2=98.9%) and gastrointestinal diseases was 8.4% (95 %CI was 5.5%~11.3%, I2=94.0%) in Chinese fighter pilots. Conclusions:The metabolic diseases, spinal diseases and hepatobiliary diseases are accounted for a relatively higher proportion among Chinese fighter pilots, and corresponding protective measures should be taken to improve the health level of pilots through the work of medical support departments at all levels.

Objective:To discuss the characteristics of common diseases of fighter pilots and provide evidence and support for improving the health level and combat capabilities of Chinese fighter pilots by the Meta-analysis of disease spectrum.Methods:The information of disease spectrum of Chinese fighter pilots was extracted from the literatures collected by SinoMed, China Academic Journal Network Publishing Database, China Scientific Journal Database, Wanfang Data and PubMed before December of 2020. STATA 16 and SPSS 26 software were used to make system evaluation for the constituent ratio of single disease, and the diseases were analyzed in subgroups by years.Results:Seventeen literatures, that published from 2002 to 2020, were collected for Meta-analysis and 9 431 persons were involved (aged from 20 to 60 years) based on the statistical analysis from 1965 to 2019. The results indicated metabolic diseases, spinal diseases, aviation occupational diseases, hepatobiliary diseases, etc.. The Meta-analysis showed that the proportion of spinal diseases was 29.5% (95 %CI was 20.8%~38.2%, I2=99.0%), metabolic diseases was 22.2% (95 %CI was 12.5%~31.8%, I2=99.5%), valvulopathy and arrhythmia was 15.1% (95 %CI was 7.3%~22.8%, I2=97.0%), aviation occupational diseases was 14.3% (95 %CI was 8.2%~20.4%, I2=94.4%), hepatobiliary diseases was 10.5% (95 %CI was 5.4%~15.5%, I2=98.9%) and gastrointestinal diseases was 8.4% (95 %CI was 5.5%~11.3%, I2=94.0%) in Chinese fighter pilots. Conclusions:The metabolic diseases, spinal diseases and hepatobiliary diseases are accounted for a relatively higher proportion among Chinese fighter pilots, and corresponding protective measures should be taken to improve the health level of pilots through the work of medical support departments at all levels.