Additional file 2 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 2. sTable 1 The sample size of each 2-year survey circle in this Study

Image_2_M6A Classification Combined With Tumor Microenvironment Immune Characteristics Analysis of Bladder Cancer.tif

BackgroundStudies have shown that N6-methyl adenosine (m6A) plays an important role in cancer progression; however, the underlying mechanism of m6A modification in tumor microenvironment (TME) cell infiltration of bladder cancer remains unclear. This study aimed to investigate the role of m6A modification in TME cell infiltration of bladder cancer.MethodsThe RNA expression profile and clinical data of bladder cancer were obtained from The Cancer Genome Atlas and Gene Expression Omnibus. We assessed the m6A modification patterns of 664 bladder cancer samples based on 20 m6A regulators through unsupervised clustering analysis and systematically linked m6A modification patterns to TME cell infiltration characteristics. Gene ontology and gene set variation analyses were conducted to analyze the underlying mechanism based on the assessment of m6A methylation regulators. Principal component analysis was used to construct the m6A score to quantify m6A modification patterns of bladder cancer.ResultsThe genetic and expression alterations in m6A regulators were highly heterogeneous between normal and bladder tissues. Three m6A modification patterns were identified. The cell infiltration characteristics were highly consistent with the three immune phenotypes, including immune rejection, immune inflammation, and immune desert. The biological functions of three m6A modification patterns were different. Cox regression analyses revealed that the m6A score was an independent signature with patient prognosis (HR = 1.198, 95% CI: 1.031–1.390). Patients with a low-m6A score were characterized by increased tumor mutation burden, PD-L1 expression, and poorer survival. Patients in the low-m6A score group also showed significant immune responses and clinical benefits in the CTLA-4 immunotherapy cohort (p =0.0069).ConclusionsThe m6A methylation modification was related to the formation of TME heterogeneity and complexity. Assessing the m6A modification pattern of individual bladder cancer will improve the understanding of TME infiltration characteristics.</p

Additional file 6 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 6. sTable 5 Trend in prevalence of elevated triglyceride among US adults from 1999 to 2018

Additional file 23 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 23. sTable 22 Trend in control rate of blood pressure among metabolic syndrome from 1999 to 2018

Additional file 18 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 18. sTable 17 Trend in intervention of physical activity among metabolic syndrome from 1999 to 2018

Additional file 21 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 21. sTable 20 Trend in control rate of triglyceride among metabolic syndrome from 1999 to 2018

Additional file 14 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 14. sTable 13 Change in distribution of characteristics among obesity from 1999 to 2018

Additional file 16 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 16. sTable 15 Trend in treatment of glucose lowering medication among metabolic syndrome from 1999 to 2018

Additional file 1 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 1. sFigure 1 Change in distribution of characteristics among metabolic syndrome from 1999 to 2002 to 2015–2018

Additional file 13 of Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999–2018

Additional file 13. sTable 12 Change in distribution of characteristics among elevated triglyceride from 1999 to 2018