ABSTRACT
BACKGROUND: Liver cirrhosis (LC) is one of the most significant causes of morbidity and mortality in patients with chronic liver disease worldwide. Nutrition may be an important component of primary prevention of chronic liver disease. Diet-exercise patterns frame the eating behaviors and exercise habits of people through statistical methods related to nutritional epidemiology, which can explore the relationship between living habits and diseases among diverse populations. The purpose of this study was to explore the association between diet-exercise patterns and cirrhosis, and provide guidance on preventive diets for liver patients. METHODS: This study identified diet-exercise patterns via clustering analysis of principal components and assessed their association with cirrhosis through the population samples of the National Health and Nutrition Examination Survey (NHANES) from 2017 to March 2020. RESULTS: We identified two diet-exercise patterns that were named the "prudent pattern" (consumption of various staple foods, eggs, meat, fruits and vegetables; less sedentary) and the "dangerous pattern" (higher consumption of desserts, nuts, milk, meat, alcoholic beverages; recreational activities). The t-test demonstrated a significant relationship between patterns and multiple foods. The simple logistic regression test showed a lower risk of cirrhosis in those in the "prudent pattern" (OR = 0.73, 95%CI = 0.59-0.93). CONCLUSIONS: Two diet-exercise patterns associated with cirrhosis were identified: "prudent pattern" and "dangerous pattern". The results of this study may be useful for suggesting preventive diets for people at risk of cirrhosis.
Subject(s)
Diet , Exercise , Liver Cirrhosis , Nutrition Surveys , Humans , Cross-Sectional Studies , Male , Female , Liver Cirrhosis/epidemiology , Middle Aged , Adult , Diet/statistics & numerical data , Feeding Behavior , Aged , Risk FactorsABSTRACT
PURPOSE: Colon cancer (CC) is a cancer of the large intestine with high prevalence and poor prognosis. enhancer RNAs. Therefore, valuable tools or biomarkers for predicting patient status, directing clinical practice, and reducing overtreatment are needed. Enhancer RNAs (eRNAs), a class of noncoding RNAs transcribed from enhancers, have been shown to function as regulators of oncogene or tumor suppressor gene expression. The aim of our study was to explore the potential roles of eRNAs and their target enhancer-related genes (ERGs) in the prognosis of CC. METHODS: Selected CC cases (stage I-III) from The Cancer Genome Atlas database were used as a training set, and cases from the Gene Expression Omnibus were used as the validation set. ERGs associated with prognosis were screened through three steps: potential, candidate, and prognosis ERGs. Multivariate Cox proportional hazards analysis was used to identify independent prognostic factors, and a nomogram was created. Calibration curves were drawn by comparing predicted and observed survival probability. For validation, the calibration curves and ROC analysis were also applied to two external validation sets. The biological significance and clinical application of the genes obtained were investigated. RESULTS: Based on the multiple tiers of strict screening, 11 prognostic ERGs were obtained, which were combined to obtain a prognosis signature. A compound nomogram integrating age, TNM classification, and the prognostic signature was constructed. The model was reliable in distinguishing the risk of patients with stage I-III CC, with AUCs of 0.78 and 0.70 at 5 and 7 years, respectively. There was good reproducibility in calibration curves. The prognostic model also yielded good prediction capability in the validation sets. CONCLUSION: In this study, the usefulness and specificity of the ERGs in prognosis were described, which should be considered a key feature in the clinical guidance of CC patients with early stage. We concluded that the major implications of the eRNAs and ERGs should be valued, which would be an emerging hallmark in the prognosis of cancer.
