19 research outputs found

    Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma

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    Background/Aims: Kidney renal clear cell carcinoma (KIRC) is one of the most fatal malignancies due to late diagnosis and poor treatment. To improve its prognosis, a screening for molecular biomarkers of KIRC is urgently needed. Long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and prognosis of cancers. However, it is not clear whether lncRNAs can be used as molecular biomarkers in predicting the survival of KIRC patients. Methods: In this study, our aim was to identify lncRNAs/mRNAs signatures and their prognostic values in KIRC. The aberrant expression profile of mRNAs and lncRNAs in 529 KIRC tissues and 72 adjacent non-tumor pancreatic tissues were obtained from the Cancer Genome Atlas (TCGA). A weighted gene co-expression network analysis (WGCNA) of two key lncRNAs was constructed. We constructed an aberrant lncRNA-mRNA-miRNA ceRNA network in CESC. In addition, Gene Ontology (GO) and KEGG pathway analysis were performed. Results: Using lncRNA/mRNA expression profiling data, the overall analysis revealed that two novel lncRNA signatures (DNM1P35 and MIR155HG) and several mRNAs were found to be significantly correlated with KIRC patient’s overall analysis. Based on the target gene of the two lncRNA in co-expression network, the GO and KEGG analysis were also performed. A dysregulated lncRNA-related ceRNA network was also observed. Conclusion: These results suggested that the two novel lncRNAs signatures may act as independent prognostic biomarkers for predicting the survival of KIRC patient

    Investigation on the association between serum lipid levels and periodontitis: a bidirectional Mendelian randomization analysis

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    Abstract Objective Several research has considered the potential correlation between periodontitis and serum lipids. However, serum lipid profiles correlation with periodontitis remains largely unknown. The investigation objective was to examine periodontitis correlation with serum lipid levels using a bidirectional Mendelian randomization (MR) analysis. Methods The study employed a bidirectional MR analysis with two samples, utilizing a freely accessible genome-wide association study (GWAS). Furthermore, the primary analysis employed the inverse variance weighted (IVW) method. To determine whether the lipid profiles were associated with periodontitis, a variety of sensitivity analyses (including MR-Egger regression, MR-PRESSO, and weighted median), as well as multivariable MR, were employed. Results MR analysis performed by IVW did not reveal any relationship between periodontitis and low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides (TG), or total cholesterol (TC). It was also found that LDL, HDL, TG, and TC were not associated to periodontitis. Furthermore, the MR estimations exhibited consistency with other MR sensitivity and multivariate MR (MVMR) analyses. These results show that the correlation between serum lipid levels and periodontitis could not be established. Conclusion The finding indicates a negligible link between periodontitis and serum lipid levels were identified, despite previous observational studies reporting a link between periodontitis and serum lipid levels

    Integrated analysis of NET‐DNA receptor CCDC25 in malignant tumors: Pan‐cancer analysis

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    Abstract Background Previously, it was reported that the coiled‐coil domain containing 25 (CCDC25) plays a role in the formation of neutrophil extracellular traps (NETs). This study systematically analyzed the expression profiles of CCDC25 in 30 different types of cancer and one type of blood cancer, acute myeloid leukemia. Methods The GTEx and CCLE databases were used to evaluate the distribution of CCDC25 expression in both normal tissue and cancer cell lines. A comparison was performed between normal tissue and tumor tissue to analyze the differential expression of CCDC25. We assessed the impact of CCDC25 on the clinical outlook in the TCGA pan‐cancer data set by analyzing the Kaplan–Meier survival plot and conducting COX regression analysis. Moreover, the association between the expression levels of CCDC25 and the tumor microenvironment in multiple cancers was conducted. Additionally, the investigation also examined the link between CCDC25 and immune neoantigen, tumor mutational burden, microsatellite instability, mismatch repair genes (MMRs), HLA‐related genes, and DNA methyltransferase (DNMT). Results CCDC25 was expressed in nearly all of the 31 normal tissues while exhibiting a moderate to low level of expression in cancer cell lines. While abnormal expression was detected in the majority of malignancies, there was no link found between elevated CCDC25 levels and overall survival, disease‐free survival, recurrence‐free survival, and disease‐free interval in the TCGA comprehensive cancer data set. Nevertheless, the expression of CCDC25 exhibited a notable link with the infiltration levels of activated CD4 memory T cells, quiescent mast cells, dendritic cells in an activated state, T cells that assist in follicle development, M2 macrophages, and neutrophils in various tumors. Conclusions In most cancers, the results indicate that there is no link between CCDC25 and prognosis. However, CCDC25 can be targeted for therapeutic purposes concerning metastasis and immune infiltration

    The association between sedentary behavior and obstructive sleep apnea: a cross-sectional study from the NHANES (2007–2008 to 2015–2020)

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    Abstract Background Sedentary behavior (SB) may contribute to obesity and lower extremity fluid retention, which may favor the development of obstructive sleep apnea (OSA). However, linking sedentary behavior to OSA is unclear. The purpose of this study was to determine if there is an association between SB and OSA. Methods Three typical questions in the NHANES questionnaire(①The frequency of feeling excessively sleepy per month. ②The frequency of gasping, snorting or stopping breathing per week. ③The frequency of snoring per week.) have been used for the assessment of OSA. A physical activity questionnaire(On a typical day, the amount of time you spend sitting or reclining.) was used to assess SB. This secondary analysis included National Health and Nutrition Examination Survey (NHANES) participants (unweighted = 20,115). Weighted sample and multiple logistic regression complex sample analysis techniques were used in this study. Results After adjustment for confounders, participants with SB(> 8 h/d) had a higher risk of OSA compared to SB(< 4 h/d). Stratified analysis by gender showed that there was no significant association of SB and OSA in men. However, in women, with SB(< 4 h/d) as the reference, participants with(≥ 4 h/d) had an increased risk of OSA. By age-stratified analysis, the association of SB with OSA was stronger among older participants. Conclusion Analysis in this study showed a positive association between SB and OSA, more pronounced in women and participants older than 60 years old

    Association between muscle quality index and periodontal disease among American adults aged ≥ 30 years: a cross-sectional study and mediation analysis

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    Abstract Objective The muscle quality index (MQI) is a measurement of muscle quality that is directly related to overall health. There has been little study on the relationship between the muscle quality index and periodontitis in American people beyond 30 years. Therefore, this study aimed to explore the link between periodontitis and Muscle quality index (MQI) in older Americans. Methods Three thousand two hundred fifty-eight individuals (aged 30 to 59) who participated in the National Health and Nutrition Examination Survey (NHANES) 2011–2014 were considered eligible for the cross-sectional investigation. A hand dynamometer was used to determine the handgrip strength (HGS). Dual-energy X-ray absorptiometry was employed to calculate ASM (DXA). MQIArm was calculated by dividing the dominant hand’s HGS by the dominant arm’s ASM (in kg/kg). MQIApp was calculated by dividing the dominant hand’s HGS by the ASM (in kg/kg). MQItotal was calculated by dividing the sum of the dominant and non-dominant hands by the ASM (in kg/kg). To investigate the link between muscle quality index and periodontal disease, the weighted multivariable logistic regression models were used. Using generalized additive models, it was determined if a nonlinear connection existed. Then, we developed a two-piece linear regression model and calculated the inflection point using a recursive approach. A mediation study was performed to determine how much of the impact of MQItotal on periodontitis was mediated by potential variables. Results Three thousand two hundred fifty-eight participants from the United States were enrolled. The OR (95% CI) for the relationship between MQItotal and periodontitis in the regression model with fully adjusted variables was 0.69 (0.53–0.91), for the connection between MQIArm and periodontitis was 0.90 (0.84–0.97), and for the association between MQIApp and periodontitis was 0.49 (0.30–0.80). MQItotal and periodontitis were shown to have a J-shaped relationship with a change point of 3.64. Before the change point, the OR (95% CI) was 0.69 (0.58, 0.82). In the analysis of drinking and married status, the interaction was statistically significant. Analysis of mediation showed that alcohol use was responsible for 0.4% (0.10 to 1.2) of the effect of MQItotal on periodontitis. Conclusion In American adults aged over 30, the Muscle Quality Index (MQI) exhibited an independent negative correlation with moderate to severe periodontitis, demonstrating a J-shaped relationship. Furthermore, alcohol consumption may act as a mediator in the association between MQI and periodontitis

    Pyroptosis‐related gene signatures are associated with prognosis and tumor microenvironment infiltration in head and neck cancer

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    Abstract Background and Aims Recent studies have highlighted the biological significance of pyroptosis in cancer development. Nevertheless, it is still uncertain if pyroptosis also plays a part in immune modulation and the creation of the tumor microenvironment (TME). Methods The pyroptosis regulatory genes (PRGs) were comprehensively assessed in 1938 head and neck cancer samples, and systematically correlated these modification patterns with the infiltration characteristics of TME cells. The unsupervised consensus analysis method was used to identify specific pyroptosis clusters. The single‐sample gene set enrichment analysis and CIBERSOFT algorithms were used to evaluate the infiltration levels of various immune cell subsets. A principal component analysis algorithm was used to construct the pyrolysis potential index (PPI) to quantify the pyrolysis regulation patterns in head and neck squamous cell carcinoma (HNSC). Results Pyrophosphate regulatory genes (PRGs) are often upregulated in tumors due to mutations. PRGs relate to various clinical outcomes and pathways. Molecular subtyping identified pyroptosis patterns, which align with three tumor immunophenotypes: immune‐inflamed, immune‐excluded, and immune‐desert. The PPI measures pyrolysis roles, showing higher PPI in tumor samples linked to subtypes and clinical characteristics. Lower PPI correlates with longer survival, increased immune activity, more tumor mutations, high PD‐L1 expression, and mutations in significant genes like PIK3CA. Such patients also experience enhanced immune responses in immunotherapy trials. Conclusion We conducted a comprehensive examination of pyroptosis in HNSC and developed a PPI indicator that shows a strong correlation with the variety and intricacy of the TME

    Additional file 1 of Association between muscle quality index and periodontal disease among American adults aged ≥ 30 years: a cross-sectional study and mediation analysis

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    Additional file 1: Supplementary Figure 1. Dose-response relationship between MQIarm and periodontitis. A. is for the continuous variable of MQIarm, and B is the categorical variable of MQIarm. Supplementary Figure 2. Dose-response relationship between MQIapp and periodontitis. A. is for the continuous variable of MQIapp, and B is the categorical variable of MQIapp. Supplementary Figure 3. The association between MQIarm and periodontitis stratified by sex. Supplementary Figure 4. The association between MQIapp and periodontitis stratified by sex. Supplementary Table 1. Threshold Effect Analysis between MQIapp and periodontitis. Supplementary Table 2. Threshold Effect Analysis between MQIarm and periodontitis

    miRNA-Based Feature Classifier Is Associated with Tumor Mutational Burden in Head and Neck Squamous Cell Carcinoma

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    Tumor mutation burden (TMB) is considered to be an independent genetic biomarker that can predict the tumor patient’s response to immune checkpoint inhibitors (ICIs). Meanwhile, microRNA (miRNA) plays a key role in regulating the anticancer immune response. However, the correlation between miRNA expression patterns and TMB is not elucidated in HNSCC. In the HNSCC cohort of the TCGA dataset, miRNAs that were differentially expressed in high TMB and low TMB samples were screened. The least absolute contraction and selection operator (LASSO) method is used to construct a miRNA-based feature classifier to predict the TMB level in the training set. The test set is used to verify the classifier. The correlation between the miRNA-based classifier index and the expression of three immune checkpoints (PD1, PDL1, and CTLA4) was explored. We further perform functional enrichment analysis on the miRNA contained in the miRNA-based feature classifier. Twenty-five differentially expressed miRNAs are used to build miRNA-based feature classifiers to predict TMB levels. The accuracy of the 25-miRNA-based signature classifier is 0.822 in the training set, 0.702 in the test set, and 0.774 in the total set. The miRNA-based feature classifier index showed a low correlation with PD1 and PDL1, but no correlation with CTLA4. The enrichment analysis of these 25 miRNAs shows that they are involved in many immune-related biological processes and cancer-related pathways. The miRNA expression patterns are related to tumor mutation burden, and miRNA-based feature classifiers can be used as biomarkers to predict TMB levels in HNSCC
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