Prognostic value of plasma microRNAs for non-small cell lung cancer based on data mining models.

BACKGROUND: As biomarkers, microRNAs (miRNAs) are closely associated with the occurrence, progression, and prognosis of non-small cell lung cancer (NSCLC). However, the prognostic predictive value of miRNAs in NSCLC has rarely been explored. In this study, the value in prognosis prediction of NSCLC was mined based on data mining models using clinical data and plasma miRNAs biomarkers. METHODS: A total of 69 patients were included in this prospective cohort study. After informed consent, they filled out questionnaires and had their peripheral blood collected. The expressions of plasma miRNAs were examined by quantitative polymerase chain reaction (qPCR). The Whitney U test was used to analyze non-normally distributed data. Kaplan-Meier was used to plot the survival curve, the log-rank test was used to compare with the overall survival curve, and the Cox proportional hazards model was used to screen the factors related to the prognosis of lung cancer. Data mining techniques were utilized to predict the prognostic status of patients. RESULTS: We identified that smoking (HR = 2.406, 95% CI = 1.256-4.611), clinical stage III + IV (HR = 5.389, 95% CI = 2.290-12.684), the high expression group of miR-20a (HR = 4.420, 95% CI = 1.760-11.100), the high expression group of miR-197 (HR = 3.828, 95% CI = 1.778-8.245), the low expression group of miR-145 ( HR = 0.286, 95% CI = 0.116-0.709), and the low expression group of miR-30a (HR = 0.307, 95% CI = 0.133-0.706) was associated with worse prognosis. Among the five data mining models, the decision trees (DT) C5.0 model performs the best, with accuracy and Area Under Curve (AUC) of 93.75% and 0.929 (0.685, 0.997), respectively. CONCLUSION: The results showed that the high expression level of miR-20a and miR-197, the low expression level of miR-145 and miR-30a were strongly associated with poorer prognosis in NSCLC patients, and the DT C5.0 model may serve as a novel, accurate, method for predicting prognosis of NSCLC.

The value of discharged case fatality rate in estimating the severity and epidemic trend of COVID-19 in China: a novel epidemiological study.

Aim: The main objective of this study was to explore the value of the discharged case fatality rate (DCFR) in estimating the severity and epidemic trend of COVID-19 in China. Subjects and methods: Epidemiological data on COVID-19 in China and Hubei Province were obtained from the National Health Commission of the People's Republic of China from January 20, 2020, to March 31, 2020. The number of daily new confirmed cases, daily confirmed deaths, daily recovered cases, the proportion of daily deaths and total deaths of discharged cases were collected, and the total discharge case fatality rate (tDCFR), daily discharge case fatality rate (dDCFR), and stage-discharge case fatality rate (sDCFR) were calculated. We used the R software (version 3.6.3, R core team) to apply a trimmed exact linear time method to search for changes in the mean and variance of dDCFR in order to estimate the pandemic phase from dDCFR. Results: The tDCFR of COVID-19 in China was 4.16% until March 31, 2020. According to the pattern of dDCFR, the pandemic was divided into four phases: the transmission phase (from January 20 to February 2), the epidemic phase (from February 3 to February 14), the decline phase (from February 15 to February 22), and the sporadic phase (from February 23 to March 31). The sDCFR for these four phases was 43.18% (CI 39.82-46.54%), 13.23% (CI 12.52-13.94%), 5.86% (CI 5.49-6.22%), and 1.61% (CI 1.50-1.72%), respectively. Conclusion: DCFR has great value in assessing the severity and epidemic trend of COVID-19. Supplementary Information: The online version contains supplementary material available at 10.1007/s10389-023-01895-4.

The global burden of colorectal cancer attributable to high plasma glucose in 204 countries and territories, 1990-2019: an analysis of the Global Burden of Disease Study.

OBJECTIVES: This study aimed to estimate the burden of colorectal cancer (CRC) attributable to high plasma glucose from 1990 to 2019. STUDY DESIGN AND METHODS: Data on the disease burden were retrieved from the Global Burden of Disease online database. Estimated average percentage change (EAPC) was used to quantify the age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life years (DALYs) rate (ASDR) of high plasma glucose-related CRC trends by sex and location between 1990 and 2019. RESULTS: Globally, the death number and DALYs of CRC attributable to high plasma glucose remained a steady increase at global level from 1990 to 2019, and similar trends have been reported in age-standardized rate. The country with the largest number of death cases and DALYs of high plasma glucose-related CRC in 2019 was China, followed by the United States of America and India. Nearly three-quarters of total countries experienced an increase in the ASMR and ASDR, and the greatest increase of ASMR and ASDR was found in Uzbekistan (EAPC = 5.32) and Equatorial Guinea (EAPC = 4.65), respectively. A negative correlation was found between sociodemographic indices and the EAPC of ASMR and ASDR (rASMR = -0.259, p < 0.001; rASDR = -0.282, p < 0.001). CONCLUSIONS: A significant increase in mortality and DALYs of CRC attributable to high plasma glucose was observed in global and most countries, especially in the developing countries. Public health policies and targeted programs are needed to reduce the burden of disease.

Association of Genetic Polymorphisms of TERT with Telomere Length in Coke Oven Emissions-Exposed Workers.

We explored the association between variations in the telomere maintenance genes and change in telomere length (TL) in workers. The TL of peripheral blood leukocytes from 544 coke oven workers and 238 controls were detected using the Real-time PCR method. Variations in four genes were then detected using the PCR based restriction fragment length polymorphism. The effects of environmental and genetic factors on TL were subsequently analyzed through covariance analysis and a generalized linear model .The TL of subjects with GG genotypes were longer than those with AG genotype in the TERT rs2736098 locus amongst the controls (P = .032). The combined effect of COEs exposure and AG+AA genotypes had a significant effect on TL (P < .001). The interaction between the COEs exposure factor and the rs2736098AG+AA genotypes had a significant effect on the TL (P < .05). The TL in coke oven workers is associated with the interactions between TERT rs2736098 AG+AA and COEs exposure.

Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study.

BACKGROUND: COVID-19, which emerged in December 2019, has spread rapidly around the world and has become a serious public health event endangering human life. With regard to COVID-19, there are still many unknowns, such as the exact case fatality rate (CFR). OBJECTIVE: The main objective of this study was to explore the value of the discharged CFR (DCFR) to make more accurate forecasts of epidemic trends of COVID-19 in Italy. METHODS: We retrieved the epidemiological data of COVID-19 in Italy published by the John Hopkins Coronavirus Resource Center. We then used the proportion of deaths to discharged cases（including deaths and recovered cases） to calculate the total DCFR (tDCFR), monthly DCFR (mDCFR), and stage DCFR (sDCFR). Furthermore, we analyzed the trend in the mDCFR between January and December 2020 using joinpoint regression analysis, used ArcGIS version 10.7 to visualize the spatial distribution of the epidemic CFR, and assigned different colors to each province based on the CFR or tDCFR. RESULTS: We calculated the numbers and obtained the new indices of the tDCFR and mDCFR for calculating the fatality rate. The results showed that the tDCFR and mDCFR fluctuated greatly from January to May. They first showed a rapid increase followed by a rapid decline after reaching the peak. The map showed that the provinces with a high tDCFR were Emilia-Romagna, Puglia, and Lombardia. The change trend of the mDCFR over time was divided into the following 2 stages: the first stage (from January to May) and the second stage (from June to December). With regard to worldwide COVID-19 statistics, among 6 selected countries, the United States had the highest tDCFR (4.26%), while the tDCFR of the remaining countries was between 0.98% and 2.72%. CONCLUSIONS: We provide a new perspective for assessing the fatality of COVID-19 in Italy, which can use ever-changing data to calculate a more accurate CFR and scientifically predict the development trend of the epidemic.

Variations in incidence and mortality rates of endometrial cancer at the global, regional, and national levels, 1990-2019.

BACKGROUND: Endometrial cancer (EC) is a commonly diagnosed cancer in women. A comprehensive knowledge of its epidemiological features is essential for understanding the disease burden and guiding prevention strategies. METHODS: We retrieved the incidence and mortality data of EC from the Global Burden of Disease database. Estimated average percentage change (EAPC) was used to quantify the trends of the age-standardized incidence and mortality rates (ASIR and ASMR, respectively) of EC from 1990 to 2019. RESULTS: Globally, the ASIR of EC significantly increased by 0.69% (95% confidence interval [CI] 0.57-0.81%) per year between 1990 and 2019. This increasing trend was also observed in 160 countries or territories, regardless of the sociodemographic status. The most pronounced increase was found in Italy (EAPC = 4.81, 95% CI, 4.10-5.53), followed by Saudi Arabia and Singapore. Between 1990 and 2019, the ASMR of EC decreased significantly worldwide (EAPC = -0.85, 95% CI, -0.93 to -0.76) but increased significantly in 91 countries or territories, with the highest increase in Lesotho (EAPC = 3.27, 95% CI, 2.81-3.74). The ASMR-ASIR ratio of EC was higher in developing countries than in developed countries. This ratio showed a decreasing trend at the national level over the past three decades. CONCLUSIONS: EC incidence has ubiquitously increased worldwide. EC mortality has decreased at the global level but increased in many countries. More efforts are required to alleviate the disease burden of EC.