The relationship between different settings of medical service and incident frailty

Bolzetta, Francesco; Wetle, Terrie; Besdine, Richard W.; Noale, Marianna; Cester, Alberto; Crepaldi, Gaetano; Maggi, Stefania; Veronese, Nicola

doi:10.1016/j.exger.2018.04.023

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…LASSO regression modeling was conducted using the R package, glmnet ( 30 ). Finally, multivariable Cox regression analyses were used for feature selection, and calculating hazard ratios (HRs) with 95% confidence intervals (CIs) ( 31 ). Genes with p < 0.05 was chosen for further analysis.…”

Section: Methodsmentioning

confidence: 99%

Identification of Prognostic Genes in the Tumor Microenvironment of Hepatocellular Carcinoma

Xiang

Shen

et al. 2021

Front. Immunol.

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Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world. The efficacy of immunotherapy usually depends on the interaction of immunomodulation in the tumor microenvironment (TME). This study aimed to explore the potential stromal-immune score-based prognostic genes related to immunotherapy in HCC through bioinformatics analysis.Methods: ESTIMATE algorithm was applied to calculate the immune/stromal/Estimate scores and tumor purity of HCC using the Cancer Genome Atlas (TCGA) transcriptome data. Functional enrichment analysis of differentially expressed genes (DEGs) was analyzed by the Database for Annotation, Visualization, and Integrated Discovery database (DAVID). Univariate and multivariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis were performed for prognostic gene screening. The expression and prognostic value of these genes were further verified by KM-plotter database and the Human Protein Atlas (HPA) database. The correlation of the selected genes and the immune cell infiltration were analyzed by single sample gene set enrichment analysis (ssGSEA) algorithm and Tumor Immune Estimation Resource (TIMER).Results: Data analysis revealed that higher immune/stromal/Estimate scores were significantly associated with better survival benefits in HCC within 7 years, while the tumor purity showed a reverse trend. DEGs based on both immune and stromal scores primarily affected the cytokine–cytokine receptor interaction signaling pathway. Among the DEGs, three genes (CASKIN1, EMR3, and GBP5) were found most significantly associated with survival. Moreover, the expression levels of CASKIN1, EMR3, and GBP5 genes were significantly correlated with immune/stromal/Estimate scores or tumor purity and multiple immune cell infiltration. Among them, GBP5 genes were highly related to immune infiltration.Conclusion: This study identified three key genes which were related to the TME and had prognostic significance in HCC, which may be promising markers for predicting immunotherapy outcomes.

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Section: Methodsmentioning

confidence: 99%

Identification of Prognostic Genes in the Tumor Microenvironment of Hepatocellular Carcinoma

Xiang

Shen

et al. 2021

Front. Immunol.

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“…The main outcome of interest was incident frailty. In accordance with the Study of Osteoporotic Fracture (SOF) index [17][18][19][20], frailty was defined as the presence of at least 2 of the following 3 criteria: (i) weight loss >5% taking place between baseline and the follow-up examinations (at the baseline examination, a BMI of less than 20 Kg/m 2 , a common cut-off for identifying underweight in older individuals [21] was used, since no information regarding weight changes were recorded);…”

Section: Outcome: Incident Frailtymentioning

confidence: 99%

Angiotensin-Converting Enzyme Inhibitor Use and Incident Frailty: A Longitudinal Cohort Study

et al. 2019

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Introduction: Angiotensin-converting-enzyme inhibitors (ACEI) may have several pleiotropic effects, but the literature regarding a possible relationship between ACEI use and frailty is limited.We investigated whether ACEI use is associated with lower risk of frailty in a cohort of North American individuals.Methods: Data from the Osteoarthritis Initiative, a cohort study with 8 years of follow-up including community-dwelling adults with knee osteoarthritis or at high risk for this condition, were analyzed. ACEI use was defined through self-reported information and confirmed by a trained interviewer.Frailty was defined using the Study of Osteoporotic Fracture (SOF) index as the presence of at least two of the following criteria: (i) weight loss ≥5% between baseline and any subsequent follow-up visit; (ii) inability to do five chair stands; and (iii) low energy level according to the SOF definition.A multivariable Poisson regression analysis was used to assess the association between ACEI use at baseline and incident frailty. The data were reported as relative risks (RRs) with their 95% confidence intervals (CIs). Results:The final sample consisted of 4,295 adults (mean age 61.2 years, females=58.1%). At baseline, 551 participants (12.8%) used ACEI. After adjusting for 15 potential confounders, the use of ACEI was associated with a lower risk of frailty (RR=0.72; 95%CI: 0.53-0.99). The adjustment for the propensity score substantially confirmed these findings (RR=0.75; 95%CI: 0.54-0.996). Conclusion:ACEI use may be associated with a reduced risk of frailty in individuals with/at risk of knee osteoarthritis, suggesting a potential role for ACI in the prevention of frailty.

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Identification of the role of endoplasmic reticulum stress genes in endometrial cancer and their association with tumor immunity

Zhang,

Zhang

et al. 2023

BMC Med Genomics

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Background Endometrial cancer (EC) is one of the worldwide gynecological malignancies. Endoplasmic reticulum (ER) stress is the cellular homeostasis disturbance that participates in cancer progression. However, the mechanisms of ER Stress on EC have not been fully elucidated. Method The ER Stress-related genes were obtained from Gene Set Enrichment Analysis (GSEA) and GeneCards, and the RNA-seq and clinical data were downloaded from The Cancer Genome Atlas (TCGA). The risk signature was constructed by the Cox regression and the least absolute shrinkage and selection operator (LASSO) analysis. The significance of the risk signature and clinical factors were tested by time-dependent receiver operating characteristic (ROC) curves, and the selected were to build a nomogram. The immunity correlation was particularly analyzed, including the related immune cells, pathways, and immune checkpoints. Functional enrichment, potential chemotherapies, and in vitro validation were also conducted. Result An ER Stress-based risk signature, consisting of TRIB3, CREB3L3, XBP1, and PPP1R15A was established. Patients were randomly divided into training and testing groups with 1:1 ratio for subsequent calculation and validation. Based on risk scores, high- and low-risk subgroups were classified, and low-risk subgroup demonstrated better prognosis. The Area Under Curve (AUC) demonstrated a reliable predictive capability of the risk signature. The majority of significantly different immune cells and pathways were enriched more in low-risk subgroup. Similarly, several typical immune checkpoints, expressed higher in low-risk subgroup. Patients of the two subgroups responded differently to chemotherapies. Conclusion We established an ER Stress-based risk signature that could effectively predict EC patients’ prognosis and their immune correlation.

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The relationship between different settings of medical service and incident frailty

Abstract: Participants receiving health care from sources other than private doctors are at increased risk of frailty, highlighting the need for screening for frailty in these health settings.

Cited by 3 publications

References 35 publications

Identification of Prognostic Genes in the Tumor Microenvironment of Hepatocellular Carcinoma

Identification of Prognostic Genes in the Tumor Microenvironment of Hepatocellular Carcinoma

Angiotensin-Converting Enzyme Inhibitor Use and Incident Frailty: A Longitudinal Cohort Study

Identification of the role of endoplasmic reticulum stress genes in endometrial cancer and their association with tumor immunity

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