BACKGROUND: Metabolic syndrome (MetS) is a cluster of cardiovascular risk factors, including abdominal obesity, hyperglycemia, hypertension, and dyslipidemia. Gastric cancer (GC) is a common malignancy with significant mortality rates. The relationship between MetS and GC risk remains controversial. This systematic review and meta-analysis aimed to evaluate the correlation between MetS and GC. METHODS: Case-control studies investigating the association between MetS and GC were obtained from various databases, including China National Knowledge Infrastructure (CNKI), SinoMed, Embase, Web of Science, The Cochrane Library, and PubMed. The search was performed from the inception of each database up until September, 2023. Two researchers independently screened the literature, extracted data, and assessed the quality of the included studies. A meta-analysis of the included literature was conducted using Stata 12.0 software. The study protocol is registered in PROSPERO (CRD42023490410). RESULTS: A total of eight studies involving a combined sample size of forty-four thousand eight hundred and seventy participants were included in the meta-analysis. The findings revealed that the risk of developing GC was not significantly associated with body mass index, triglycerides, hypertension, high fasting glucose, or MetS. However, it was found to be positively correlated with high-density lipoprotein cholesterol (OR = 1.69, 95%CI: 1.35-2.12). CONCLUSION: This meta-analysis suggests that MetS is not significantly associated with an increased risk of GC. The risk of GC increases with the presence of individual MetS components, such as high-density lipoprotein cholesterol. Therefore, GC prevention strategies should include lifestyle modifications and targeted interventions to manage MetS and its components. TRIAL REGISTRATION: CRD42023490410 (PROSPERO).
The role of YTHDF2 in gastric cancer (GC) is controversial. Due to the limitations of technical difficulty and experimental period, research on completely knocking out YTHDF2 is rare. Therefore, further investigations are still needed to clarify the YTHDF2's clinical significance and biological function in GC. To carry out the investigation, an analysis was performed on the expression levels of YTHDF2 in both publicly available databases and samples obtained from patients with gastric cancer. Based on the complete knockout of YTHDF2 using the CRISPR-Cas9 system, in vivo and in vitro experiments were conducted to analyze the effects of YTHDF2 on tumor formation, radiotherapy and chemoradiotherapy resistance in GC. Our investigation revealed an increase in YTHDF2 levels in GC tissues, which was found to be associated with a negative prognosis. Under hypoxic conditions, high expression of YTHDF2 enhanced the invasion of gastric cancer cells, and high expression of YTHDF2 was associated with HIF-1a. YTHDF2 facilitated gastric cancer cell growth in vitro and in vivo. Moreover, the results of the present study demonstrated that YTHDF2 mediated the expression of CyclinD1 and stability of CyclinD1 mRNA. CyclinD1 knockdown inhibited YTHDF2-mediated GC cell proliferation whereas CyclinD1 overexpression ameliorated YTHDF2 knockdown-induced inhibition of GC progression. Furthermore, YTHDF2 also promoted resistance to DDP and CTX chemotherapy, along with radiotherapy treatment for GC cells. The findings suggested that YTHDF2 expression accelerated GC progression through a potential mechanism involving CyclinD1 expression, and enhanced chemoradiotherapy resistance. This indicated that YTHDF2 could be a promising prognostic biomarker and therapeutic target for individuals diagnosed with GC.
Stomach Neoplasms , Humans , Stomach Neoplasms/drug therapy , Stomach Neoplasms/genetics , Chemoradiotherapy , Cell Proliferation , RNA-Binding Proteins/genetics
Purpose: Patients with advanced prostate cancer (PCa) often develop castration-resistant PCa (CRPC) with poor prognosis. Prognostic information obtained from multiparametric magnetic resonance imaging (mpMRI) and histopathology specimens can be effectively utilized through artificial intelligence (AI) techniques. The objective of this study is to construct an AI-based CRPC progress prediction model by integrating multimodal data. Methods and materials: Data from 399 patients diagnosed with PCa at three medical centers between January 2018 and January 2021 were collected retrospectively. We delineated regions of interest (ROIs) from 3 MRI sequences viz, T2WI, DWI, and ADC and utilized a cropping tool to extract the largest section of each ROI. We selected representative pathological hematoxylin and eosin (H&E) slides for deep-learning model training. A joint combined model nomogram was constructed. ROC curves and calibration curves were plotted to assess the predictive performance and goodness of fit of the model. We generated decision curve analysis (DCA) curves and Kaplan-Meier (KM) survival curves to evaluate the clinical net benefit of the model and its association with progression-free survival (PFS). Results: The AUC of the machine learning (ML) model was 0.755. The best deep learning (DL) model for radiomics and pathomics was the ResNet-50 model, with an AUC of 0.768 and 0.752, respectively. The nomogram graph showed that DL model contributed the most, and the AUC for the combined model was 0.86. The calibration curves and DCA indicate that the combined model had a good calibration ability and net clinical benefit. The KM curve indicated that the model integrating multimodal data can guide patient prognosis and management strategies. Conclusion: The integration of multimodal data effectively improves the prediction of risk for the progression of PCa to CRPC.
PURPOSE: The purpose of this research is to further understand the research status and summarize the research hotspots of sleep disorder and cancer, so as to provide insights into future researches. METHODS: In this research, the publications pertaining to sleep disorders and cancer from 1992 to 2022 was retrieved from SCIE and SSCI databases in the Web of Science Core Collection. The subject, journal, country/regions, institutions, author, and citations of publications were descriptively analyzed and visual analysis. RESULTS: From 1992 to December 2022, a total of 732 relevant literatures were retrieved from WOS SCIE and SSCI databases, the number of publications showed an increasing trend year by year. These articles were published in 252 journals, and the three most productive journals included Supportive Care in Cancer (80 publications), Psycho-oncology (32 publications), and Journal of Pain and Symptom Management (32 publications). The three most productive countries included the USA (367 publications, 50.1%), China (133 publications, 18.2%), and Canada (97 publications, 13.25%), with total citations of 12,684, 1866, and 5263. The three latest hot keywords in this field were sleep duration, validity, and inflammation. CONCLUSION: The USA, China, and Canada produced a lot of literature in the research field of sleep disorders and cancer, and had relatively great academic influence from 1992 to 2022. Researchers could pay more attention to the published in journals such as Journal of Clinical Oncology, Sleep, and Supportive Care in Cancer to timely grasp the latest progress and expand the breadth and depth in this area. Looking at the history of tumor and sleep disorder research in the past 20 years, the clinical treatment of sleep disorder caused by tumor and the direct bidirectional mechanism of the two may be a new focus of future research.
Neoplasms , Sleep Wake Disorders , Humans , Medical Oncology , Bibliometrics , Canada
Background: SQSTM1/p62 is an autophagy-related receptor protein that participates in regulating tumorigenesis and multiple signaling pathways. Gastric cancer (GC) is a common tumor in the digestive tract and continues to pose a significant threat to human health. Therefore, this study aims to investigate the impact of p62 on gastric cancer. Methods: Immunohistochemistry and Western blotting were employed to assess the expression level of the p62 protein in gastric cancer tissues and its correlation with prognosis. Subsequently, in vitro cell experiments were conducted to determine the role of p62 in gastric cancer cell proliferation, migration, and metastasis. Result: The expression of p62 in gastric cancer tissues was significantly higher than in normal tissues. The expression of p62 was positively correlated with poor prognosis in gastric cancer patients. In vitro cell experiments indicated that p62 promotes gastric cancer cell proliferation and migration. Mechanistically, elevated p62 expression induced epithelial-mesenchymal transition (EMT), leading to upregulation of E-cadherin and downregulation of N-cadherin and vimentin. Conclusion: This study provides novel and robust evidence for the mechanism by which elevated p62 expression promotes the progression of gastric cancer. It offers promising therapeutic targets for anti-tumor treatment strategies in gastric cancer patients.
OBJECTIVE: The objective of this study is to assess the correlation between Piezo2 and tumors through a comprehensive meta-analysis and database validation. METHODS: Case-control studies investigating the association between Piezo2 and tumors were obtained from various databases, including China National Knowledge Infrastructure (CNKI), SinoMed, Embase, Web of Science, The Cochrane Library, and PubMed. The search was performed from the inception of each database up until May 2023. Two researchers independently screened the literature, extracted data, and assessed the quality of the included studies. Metaanalysis of the included literature was conducted using Stata 12.0 software. Additionally, the Gene Expression Profiling Interactive Analysis (GEPIA) database predicted a correlation between Piezo2 expression and prognostic value in tumor patients. RESULTS: A total of three studies, involving a combined sample size of 392 participants, were included in the meta-analysis. The findings revealed that the expression level of Piezo2 in tumor patients was not significantly associated with age, gender, or tumor size. However, it was found to be positively correlated with lymphatic invasion (OR = 7.89, 95%CI: 3.96-15.73) and negatively correlated with invasion depth (OR = 0.17, 95%CI: 0.06-0.47), TNM stage (OR = 0.48, 95%CI: 0.27-0.87), and histological grade (OR = 0.40, 95%CI: 0.21-0.77). Confirming these findings, the GEPIA database indicated that high expression of Piezo2 was associated with poor prognosis of disease-free survival in patients with colon adenocarcinoma (HR = 1.6, P = 0.049) and gastric cancer (HR = 1.6, P = 0.017). CONCLUSION: Piezo2 may be associated with poor prognosis and clinicopathological parameters in tumor patients.
OBJECTIVE: We conducted a meta-analysis of current literature to assess whether bariatric surgery(BS) has a positive effect on reducing the risk of multiple myeloma(MM). METHODS: Relevant studies meeting the criteria were systematically reviewed using databases such as PubMed, Web of Science, Embase (Ovid platform), MEDLINE, and the Cochrane Library. The meta-analysis utilized hazard ratios (RR) and 95% confidence intervals (CI) to analyze the correlation between BS and the risk of MM. STATA software (version 12.0) was employed for the meta analysis. RESULTS: The meta-analysis included 10 eligible studies, involving 2,452,503 patients with obesity. The results demonstrated a significant reduction in the risk of multiple myeloma in patients with obesity after bariatric surgery compared to non-surgical patients with obesity (RR = 0.51, 95%CI: 0.31-0.84). Subgroup analyses revealed a decreased probability of developing multiple myeloma in European patients with obesity and North American patients with obesity who underwent bariatric surgery. Studies with a sample size greater than or equal to 100,000 indicated a significantly reduced risk of multiple myeloma in patients with obesity undergoing bariatric surgery compared to the non-surgical group (RR: 0.45, 95%CI: 0.23-0.88, P < 0.02). Two publications before 2010 showed no significant difference in the incidence of multiple myeloma between the surgical and non-surgical groups (RR: 0.61, 95% CI: 0.14-2.63, P = 0.504), while publications after 2010 demonstrated a reduced incidence in the surgical group (RR: 0.51, 95% CI: 0.30-0.86, P = 0.012). CONCLUSION: Our meta-analysis results suggest a reduced risk of multiple myeloma in patients with obesity following bariatric surgery. PROSPERO REGISTRATION: CRD42023485668.
Bariatric Surgery , Multiple Myeloma , Obesity, Morbid , Humans , Multiple Myeloma/etiology , Obesity, Morbid/surgery , Bariatric Surgery/adverse effects , Obesity/surgery , Incidence
BACKGROUND: Gastric cancer (GC) is one of the most common digestive malignancies. Although miR-221-3p was defined as a novel biomarker in many types of cancer, the relationship between its expression differences and the clinicopathological characteristics and prognosis of GC patients was yet to be fully understood. METHODS AND RESULTS: TCGA database was utilized to predict the potential biological function of miR-221-3p in GC. QRT-PCR and RNA FISH were performed to detect the expression levels of miR-221-3p in GC. The miR-221-3p expression levels in GC tissues and cells were significantly higher than those in paracancerous tissues (p < 0.001) and normal gastric mucosal cells (p < 0.05). Higher expression levels of miR-221-3p were associated with tumor diameter ≥ 4 cm (χ2 = 5.519, p = 0.019), cTNM stage (III + IV) (χ2 = 28.013, p = 0.000), lymph node metastasis (χ2 = 23.272, p = 0.000) and distant metastasis (χ2 = 7.930, p = 0.005). Kaplan-Meier survival analysis showed a better prognosis for GC patients with miR-221-3p low expression(HR = 4.520, 95% CI: 1.844-11.075). CONCLUSIONS: miR-221-3p is highly expressed in GC tissues, which plays an important role in tumorigenesis, invasion and metastasis. miR-221-3p may become an important biomarker and potential molecular therapeutic target for patients with GC.
MicroRNAs , Stomach Neoplasms , Humans , Stomach Neoplasms/genetics , Carcinogenesis , Cell Transformation, Neoplastic , Biomarkers , MicroRNAs/genetics
OBJECTIVE: To investigate Life's Essential 8 (LE8), a measure of cardiovascular health (CVH), associations with mortality outcomes in cancer survivors. METHODS: A prospective cohort study included 1818 cancer survivors aged ≥20 years (weighted population: 13,204,583) from National Health and Nutrition Examination Survey (NHANES) 2005-2018. Linked to mortality data through 2019, LE8 data were gathered through self-reports and lab tests. An LE8 score of 80-100 is considered high CVH, 60-79 is moderate CVH, and 0-59 is low CVH. Multivariable Cox proportional hazards regression models were employed to evaluate the associations between LE8 and all-cause, cancer-specific and non-cancer mortality. Subsequently, subgroup analyses were conducted to assess the relationship between LE8 and mortality rates across various subgroups. RESULTS: At baseline, there were 1818 cancer survivors. In a 15-year follow-up, 2548 deaths occurred: 601 from cancer, 647 from heart disease, and 1300 from other causes. Multivariable models showed high CVH associated with lower hazard ratios for all-cause, cancer-specific and non-cancer mortality vs. low CVH. Cumulative mortality rates increased during follow-up, more so in the low CVH group. Subgroup analysis revealed significant LE8 interactions with age or Poverty Income Ratio (PIR) for all-cause mortality. Additionally, significant interactions between LE8 and PIR were identified for cancer-specific and non-cancer mortality risks (P for interaction <0.05). CONCLUSION: Among U.S. cancer survivors, higher CVH is independently linked to lower all-cause, cancer-specific, and non-cancer mortality risks. The new CVH definition shows promise as a primary prevention strategy to reduce mortality rates in U.S. cancer survivors.
Cancer Survivors , Cardiovascular Diseases , Neoplasms , Humans , United States/epidemiology , Nutrition Surveys , Prospective Studies , Retrospective Studies , Risk Factors
This study aimed to develop and validate a cuproptosis-related gene signature for the prognosis of gastric cancer. The data in TCGA GC TPM format from UCSC were extracted for analysis, and GC samples were randomly divided into training and validation groups. Pearson correlation analysis was used to obtain cuproptosis-related genes co-expressed with 19 Cuproptosis genes. Univariate Cox and Lasso regression analyses were used to obtain cuproptosis-related prognostic genes. Multivariate Cox regression analysis was used to construct the final prognostic risk model. The risk score curve, Kaplan-Meier survival curves, and ROC curve were used to evaluate the predictive ability of Cox risk model. Finally, the functional annotation of the risk model was obtained through enrichment analysis. Then, a six-gene signature was identified in the training cohort and verified among all cohorts using Cox regression analyses and Kaplan-Meier plots, demonstrating its independent prognostic significance for gastric cancer. In addition, ROC analysis confirmed the significant predictive potential of this signature for the prognosis of gastric cancer. Functional enrichment analysis was mainly related to cell-matrix function. Therefore, a new cuproptosis-related six-gene signature (ACLY, FGD6, SERPINE1, SPATA13, RANGAP1, and ADGRE5) was constructed for the prognosis of gastric cancer, allowing for tailored prediction of outcome and the formulation of novel therapeutics for gastric cancer patients.
Stomach Neoplasms , Humans , Stomach Neoplasms/genetics , Kaplan-Meier Estimate , ROC Curve , Risk Factors , Apoptosis
OBJECTIVE: This study aimed to shed light on the potential relationship between live microbe intake and nonalcoholic fatty liver disease (NAFLD). METHOD: By using a cross-sectional study design, the researchers were able to investigate the possible causal association between the two variables in a rigorous and systematic manner. RESULTS: Our study investigated the correlation between the intake of live microbe-containing foods and NAFLD in a representative sample of adults. The study found that the intake of live microbe-containing foods was associated with lower blood pressure, plasma glucose, NAFLD, body mass index, glycated hemoglobin, alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transpeptidase, and low-density lipoprotein cholesterol, as well as higher high-density lipoprotein cholesterol levels (p < 0.05). In univariate logistic regression, high dietary live microbe intake was associated with lower NAFLD prevalence than low intake (OR = 0.830; 95% CI, 0.759 to 0.908; p < 0.001). After adjusting for multiple variables, the same conclusion was supported (p < 0.05). In subgroup analyses, there was a significant difference in the race and smoking groups, with p for interaction of 0.01 and 0.02, respectively. This study's findings serve to augment the existing body of evidence linking live microbes with favorable health outcomes. CONCLUSIONS: Our study revealed a robust correlation between dietary intake of live microbes and the prevalence of NAFLD in a cross-sectional analysis. Our findings offer a novel perspective on NAFLD research, highlighting the potential of targeted modulation of specific bacterial taxa, including the promotion of beneficial bacteria and suppression of harmful ones, as a promising strategy for preventing and treating NAFLD.
Non-alcoholic Fatty Liver Disease , Humans , Non-alcoholic Fatty Liver Disease/epidemiology , Cross-Sectional Studies , Nutrition Surveys , Body Mass Index , Cholesterol
In this study, clinical trials were generalized, summarized, and meta-analyzed to evaluate correlations between artificial sweeteners (ASs) and colorectal cancer (CRC). PubMed, Web of Science, EMBASE (Ovid platform), MEDLINE, and the Cochrane Library databases were searched from inception until July 24, 2023. The association between AS exposure and CRC incidence was assessed using odds ratios (ORs) and 95% confidence intervals (CIs). STATA software (version 12.0) was used to perform the meta-analysis. Ten studies (three case-control studies and seven cohort studies) involving 711,537 participants were identified. Results showed that the intake of ASs reduced the incidence of CRC (OR=0.93, 95% CI=[0.87-0.99]) and was not significantly associated with mortality (OR=0.93, 95% CI=[0.83-1.05]). Subgroup analyses showed that low doses of ASs were associated with lower CRC incidence (OR=0.90, 95% CI=[0.83-0.99]), and medium/high doses were not associated with CRC incidence (OR=1.11, 95% CI=[0.93-1.33]; OR=0.89, 95% CI=[0.79-1.00], respectively). Moreover, low, medium, and high exposures were not associated with an increased risk of mortality due to CRC (OR=0.95, 95% CI=[0.80-1.14]; OR=0.99, 95% CI=[0.88-1.11]; OR=0.93, 95% CI=[0.71-1.21], respectively). The results of our meta-analysis showed that a low intake of ASs may be associated with a lower risk of CRC.
INTRODUCTION: The molecular mechanism of high-mobility group box 1 (HMGB1) promoting the epithelial-mesenchymal transition (EMT) of gastric cancer (GC) has not been known well. This study aimed to explore the clinical effects of HMGB1 expression levels on the clinicopathological characteristics of patients with GC and to uncover the potential molecular mechanism which promotes tumor progression. METHODS: The expression levels of HMGB1 in 125 patients with GC were detected by immunohistochemistry and Western blotting. Univariate and multivariate analyses were performed to evaluate the relationship between HMGB1 expression and clinical characteristics of patients with GC. Stable overexpression (over-HMGB1) and knockdown (sh-HMGB1) GC cell lines (AGS and MKN-45) were used to determine the effects of HMGB1 on the activation of TLR4/NF-κB signaling. Differences were considered statistically significant at p < 0.05 in two sides. RESULTS: HMGB1 is highly expressed in GC tissues and cell lines. High HMGB1 expression (HR = 1.89, 95% CI: 1.44-2.39, p = 0.001) was an independent risk factor for overall survival in patients with GC. Downregulation of HMGB1 resulted in downregulation of TLR4 and NF-κB subunit (p-p65 and p-IκBα) expression, whereas the upregulated expression of HMGB1 led to increased expression of TLR4 and NF-κB subunits. Overexpression of HMGB1 promotes the upregulation of EMT-TF expression, which enhances the proliferation and migration abilities of GC cell lines. CONCLUSION: HMGB1 is highly expressed in GC tissues and is associated with a poorer prognosis in patients with GC. HMGB1 activates the TLR4/NF-κB signaling pathway to promote EMT progression in GC cell lines. HMGB1 may be a critical molecule in prognosis prediction and a therapeutic target for patients with GC.
HMGB1 Protein , Stomach Neoplasms , Humans , NF-kappa B/metabolism , NF-kappa B/pharmacology , Toll-Like Receptor 4/metabolism , Stomach Neoplasms/pathology , HMGB1 Protein/genetics , HMGB1 Protein/metabolism , HMGB1 Protein/pharmacology , Signal Transduction , Prognosis , Epithelial-Mesenchymal Transition
BACKGROUND: N6-methyladenosine (m6A) methylation is known as the research hotspot for tumor epimodification, and its associated methyltransferase-like3 (METTL3) is significantly differentially expressed in gastric carcinoma, but its clinical value has not been summarized. This meta-analysis aimed to evaluate the prognostic significance of METTL3 in gastric carcinoma. MATERIAL AND METHODS: Databases, including PubMed, EMBASE (Ovid platform), Science Direct, Scopus, MEDLINE, Google Scholar, Web of Science, and Cochrane Library, were used to identify relevant eligible studies. The endpoints included overall survival, progression-free survival, recurrence-free survival, post-progression survival, and disease-free survival. Hazard ratios (HR) with 95% confidence intervals (CI) were used to correlate METTL3 expression with prognosis. Subgroup and sensitivity analyses were performed. RESULTS: Seven eligible studies involving 3034 gastric carcinoma patients were recruited for this meta-analysis. The analysis showed that high METTL3 expression was associated with significantly poorer overall survival (HR = 2.37, 95% CI 1.66-3.39, P < 0.01) and unfavorable disease-free survival (HR = 2.58, 95% CI 1.97-3.38, P < 0.01), as did unfavorable progression-free survival (HR = 1.48, 95% CI 1.19-1.84, P < 0.01)/recurrence-free survival (HR = 2.62, 95% CI 1.93-5.62, P < 0.01)/post-progression survival (HR = 1.53, 95% CI 1.22-1.91, P < 0.01). Subgroup analysis found that high METTL3 expression was associated with worse overall survival in patients with Chinese (HR = 2.21, 95% CI 1.48-3.29, P < 0.01), in studies with sample source from formalin-fixed, paraffin-embedded tissues (HR = 2.66, 95% CI 1.79-3.94, P < 0.01), and the reported directly from articles group (HR = 2.42, 95% CI 1.66-3.53, P < 0.01). The subgroup analysis that was performed based on sample size, detected method, and follow-up showed the same results. CONCLUSIONS: High expression of METTL3 predicts poor prognosis in gastric carcinoma, indicating promise for METTL3 as a prognostic biomarker.Systematic review registration: https://www.crd.york.ac.uk/prospero, ID = CRD42023408519.
Carcinoma , Stomach Neoplasms , Humans , Prognosis , Methyltransferases/genetics , Biomarkers, Tumor/genetics , Biomarkers, Tumor/metabolism , Stomach Neoplasms/genetics
