COL4A3 mutation is an independent risk factor for poor prognosis in children with Alport syndrome

2020 ◽  
Vol 35 (10) ◽  
pp. 1941-1952
Author(s):  
Gulsah Ozdemir ◽  
Bora Gulhan ◽  
Emine Atayar ◽  
Seha Saygılı ◽  
Oguz Soylemezoglu ◽  
...  
Keyword(s):  
Risk Factor ◽  
Poor Prognosis ◽  
Alport Syndrome ◽  
Independent Risk Factor

scholarly journals Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Zhendong Liu ◽  
Wang Zhang ◽  
Xingbo Cheng ◽  
Hongbo Wang ◽  
Lu Bian ◽  
...  
Keyword(s):  
Risk Factor ◽  
Expression Pattern ◽  
Poor Prognosis ◽  
Independent Risk Factor ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Cellular Mechanisms ◽  
Molecular Features ◽  
Meta Analyses

Abstract Background XRCC2, a homologous recombination-related gene, has been reported to be associated with a variety of cancers. However, its role in glioma has not been reported. This study aimed to find out the role of XRCC2 in glioma and reveal in which glioma-specific biological processes is XRCC2 involved based on thousands of glioma samples, thereby, providing a new perspective in the treatment and prognostic evaluation of glioma. Methods The expression characteristics of XRCC2 in thousands of glioma samples from CGGA and TCGA databases were comprehensively analyzed. Wilcox or Kruskal test was used to analyze the expression pattern of XRCC2 in gliomas with different clinical and molecular features. The effect of XRCC2 on the prognosis of glioma patients was explored by Kaplan–Meier and Cox regression. Gene set enrichment analysis (GSEA) revealed the possible cellular mechanisms involved in XRCC2 in glioma. Connectivity map (CMap) was used to screen small molecule drugs targeting XRCC2 and the expression levels of XRCC2 were verified in glioma cells and tissues by RT-qPCR and immunohistochemical staining. Results We found the overexpression of XRCC2 in glioma. Moreover, the overexpressed XRCC2 was associated with a variety of clinical features related to prognosis. Cox and meta-analyses showed that XRCC2 is an independent risk factor for the poor prognosis of glioma. Furthermore, the results of GSEA indicated that overexpressed XRCC2 could promote malignant progression through involved signaling pathways, such as in the cell cycle. Finally, doxazosin, quinostatin, canavanine, and chrysin were identified to exert anti-glioma effects by targeting XRCC2. Conclusions This study analyzed the expression pattern of XRCC2 in gliomas and its relationship with prognosis using multiple datasets. This is the first study to show that XRCC2, a novel oncogene, is significantly overexpressed in glioma and can lead to poor prognosis in glioma patients. XRCC2 could serve as a new biomarker for glioma diagnosis, treatment, and prognosis evaluation, thus bringing new insight into the management of glioma.

Bioinformatics Combined with Quantitative Proteomics Analyses and Identification of Potential Biomarkers in Cholangiocarcinoma

2020 ◽  
Author(s):  
Zijian Da ◽  
Long Gao ◽  
Gang Su ◽  
Jia Yao ◽  
Wenkang Fu ◽  
...  
Keyword(s):  
Risk Factor ◽  
Poor Prognosis ◽  
Independent Risk Factor ◽  
Primary Tumour ◽  
Absolute Quantification ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Protein Levels

Abstract Background Cholangiocarcinoma(CCA)is an invasive malignancy arising from biliary epithelial cells; it is the most common primary tumour of the bile tract and has a poor prognosis. The aim of this study was to screen prognostic biomarkers for CCA by integrated multiomics analysis. Methods The GSE32225 dataset was derived from the Gene Expression Omnibus (GEO) database and comprehensively analysed by using R software and The Cancer Genome Atlas (TCGA) database to obtain the differentially expressed RNAs (DERNAs) associated with CCA prognosis. Quantitative isobaric tags for relative and absolute quantification (iTRAQ) proteomics was used to screen differentially expressed proteins (DEPs) between CCA and nontumour tissues. Through integrated analysis of DERNA and DEP data, we obtained candidate proteins APOF, ITGAV and CASK, and immunohistochemistry was used to detect the expression of these proteins in CCA. The relationship between CASK expression and CCA prognosis was further analysed. Results Through bioinformatics analysis, 875 DERNAs were identified, of which 10 were associated with the prognosis of the CCA patients. A total of 487 DEPs were obtained by using the iTRAQ technique. Comprehensive analysis of multiomics data showed that CASK, ITGAV and APOF expression at both the mRNA and protein levels were different in CCA compared with nontumour tissues. CASK was found to be expressed in the cytoplasm and nucleus of CCA cells in 38 (45%) of 84 patients with CCA. Our results suggested that patients with positive CASK expression had significantly better overall survival (OS) and recurrence-free survival (RFS) than those with negative CASK expression. Univariate and multivariate analyses demonstrated that negative expression of CASK was a significantly independent risk factor for OS and RFS in CCA patients. Conclusions CASK may be a tumour suppressor; its low expression is an independent risk factor for a poor prognosis in CCA patients, and so it could be used as a clinically valuable prognostic marker.

scholarly journals High aspartate aminotransferase to alanine aminotransferase ratio on admission as risk factor for poor prognosis in COVID-19 patients

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Cheng Qin ◽  
Yingxin Wei ◽  
Xiaoyu Lyu ◽  
Bangbo Zhao ◽  
Yunlu Feng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Risk Factor ◽  
Platelet Count ◽  
Aspartate Aminotransferase ◽  
Alanine Aminotransferase ◽  
Poor Prognosis ◽  
Independent Risk Factor ◽  
Chest Computed Tomography ◽  
Severity Scores ◽  
Laboratory Results

Abstract This study aimed to analyze aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio in COVID-19 patients. After exclusion, 567 inpatients were included in this study and separated into two groups according to their AST/ALT ratio on admission. Death was regarded as poor prognosis in this study. Of 567 patients, 200 (35.3%) had AST/ALT ≥ 1.38. Of the 200 patients, older age (median age 60 years), myalgia (64 [32%] cases), fatigue (91 [45.5%] cases), some comorbidities and outcomes were significantly different from patients with AST/ALT < 1.38. They also had worse chest computed tomography (CT) findings, laboratory results and severity scores. Levels of platelet count (OR 0.995, 95% CI [0.992–0.998]) and hemoglobin (OR 0.984, 95% CI [0.972–0.995]) were independently associated with AST/ALT ≥ 1.38 on admission. Furthermore, a high AST/ALT ratio on admission was an independent risk factor for poor prognosis (OR 99.9, 95% CI [2.1–4280.5]). In subsequent monitoring, both survivors and non-survivors showed decreased AST/ALT ratio during hospitalization. In conclusion, high AST/ALT ratio might be the indication of worse status and outcomes in COVID-19 patients.

P6243Impact of coronary flow reserve as an important predictor for major adverse cardiac and cerebrovascular event in hemodialysis patients even in patients without myocardial perfusion abnormality

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
N Umemoto ◽  
S Ooshima ◽  
S Ooshima ◽  
R Itou ◽  
R Itou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Myocardial Perfusion ◽  
Coronary Flow ◽  
Poor Prognosis ◽  
Independent Risk Factor ◽  
Cox Regression ◽  
Cerebrovascular Event ◽  
Intergroup Difference ◽  
Flow Reserve

Abstract Background In the clinical setting, ischemic heart disease (IHD) is a major problem not only in general patients but also in regular hemodialysis (HD) patients. 13N-ammonia positron emission tomography (13NH3PET) is an established and excellent diagnostic test for IHD. We have reported about the predictability of coronary flow reserve (CFR) in poor prognosis in HD population. Some prior studies show that low CFR predicts poor prognosis for not only cardiovascular event but also all-cause mortality. Although it is well-known that CFR is an important predictor, there are limited data about CFR of patients without myocardial perfusion (MP) abnormality. We investigated the prognostic predictability of adverse cardiac and cerebrovascular event (MACCE) in HD patients without MP abnormality. Methods A total 438 of HD patients who underwent 13NH3PET for suspected IHD were enrolled. All patients were underwent 13NH3PET at our facility. After we excluded patients whose summed stress score (SSS) >3, we identified 182 eligible patients. Patients were divided into two group according to the median value of CFR; low CFR group (≤2.405) and high CFR group (>2.405). We followed up them up to 4.2 years (median 2.4 years) and collected their data. We evaluated their major adverse cardiac cerebrovascular event. We performed Kaplan-Meyer analysis and multivariable cox regression models. Furthermore, we evaluated the incremental value with C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) when CFR added into a model with established risk factors. Results There were intergroup difference in baseline characteristics: age, gender, prior CVD and diabetes. Kaplan-Meyer analysis shows statistically intergroup difference [log rank p=0.04, hazard ratio (HR) 0.54, 95% confidential interval (CI) 0.30–0.97]. Multivariable cox regression model for MACCE shows CFR is an independent risk factor (p=0.04, HR 0.54, 95% CI 0.30–0.97). As regarding model discrimination, all of C-index (0.82 vs 0.80, p=0.23), NRI (0.51, p<0.01) and IDI (0.03, p=0.03) were greatest in a predicting model with established risk factors plus CFR. Conclusions The low CFR group had poor prognosis in MACCE comparing to the high CFR group. CFR would be an independent risk factor for MACCE. Adding CFR on conventional risk factors could more accurately predict MACCE in HD patients, even in patients without MP abnormality.

scholarly journals High Aspartate Aminotransferase to Alanine Aminotransferase Ratio on Admission as Risk Factor for Poor Prognosis in COVID-19 Patients

2020 ◽  
Author(s):  
Cheng Qin ◽  
Yingxin Wei ◽  
Xiaoyu Lyu ◽  
Bangbo Zhao ◽  
Yunlu Feng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Risk Factor ◽  
Platelet Count ◽  
Aspartate Aminotransferase ◽  
Alanine Aminotransferase ◽  
Poor Prognosis ◽  
Independent Risk Factor ◽  
Chest Computed Tomography ◽  
Severity Scores ◽  
Laboratory Results

Abstract This study aimed to analyze aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio in COVID-19 patients. After exclusion, 567 inpatients were included in this study and separated into two groups according to their AST/ALT ratio on admission. Poor prognosis included death and transfer to other hospitals due to deterioration. Of 567 patients, 56 (9.9%) had AST/ALT ≥ 2. Of the 56 patients, older age (median age 65.5 years), fatigue (29 [51.8%] cases), comorbidities (33 [58.9%] cases) and outcomes were significantly different from patients with AST/ALT < 2. They also had worse chest computed tomography (CT) findings, laboratory results and severity scores. Levels of platelet count (OR = 0.989, 95% CI [0.983-0.996]) were independently associated with AST/ALT ≥ 2 on admission. Furthermore, a high AST/ALT ratio on admission was an independent risk factor for poor prognosis (OR = 22.02, 95% CI [1.84-263.2]), especially in patients with AST levels > 40 U/L. In subsequent monitoring, the AST/ALT ratio was decreased in both patients with AST/ALT < 2 or ≥ 2 on admission. COVID-19 patients who are older, or have fatigue, comorbidities are more likely to have AST/ALT ≥ 2 on admission, which might be the indication of worse status and outcomes.

Abstract WP355: Recurrent Stroke is an Independent Risk Factor for Ischemic Stroke Prognosis

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Haiqiang Qin ◽  
Gaifeng Liu ◽  
Penglian Wang ◽  
Runhua Zhang ◽  
Miaoxin Yu ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Poor Prognosis ◽  
Independent Risk Factor ◽  
Recurrent Stroke ◽  
Multivariable Analysis ◽  
Stroke Registry ◽  
Risk Of Death ◽  
Composite Events ◽  
Worse Prognosis

Introduction: Recurrent ischemic stroke is more likely to have a worse prognosis. However, it is little known whether recurrent stroke is an independent risk factor for poor prognosis. We aim to investigate the difference of mortality and recurrent rate of first ever and recurrent ischemic strokes, as well as to explore the potential reasons. Method: We analyzed patients with ischemic stroke enrolled in the China National Stroke Registry which was a nationwide, multicenter, and prospective registry of consecutive patients with acute cerebrovascular events from 2007 to 2008. Date including hypertension, diabetes mellitus, hyperlipidemia, heart disease, etc. were obtained from paper-based registry forms. Multivariable analysis using logistic regression was performed to assess the risk of worse prognosis of recurrent ischemic stroke compared to first-ever stroke. Result: A total of 8 181 patients with first-ever stroke and 4 234 patients with recurrent stroke were enrolled in the study. For patients with first-ever stroke, the mortality, recurrence, composite Events(modified Rankin Scale=3-6, which means death or disability) rate is 7.2%, 10.3%, 22.6%, respectively at 3-month; and 9.0%, 13.0%, 29.0% at 6-month; as well as 11.4%, 14.7%, 28.5% at 1 year, respectively. For patients with recurrent stroke, the mortality, recurrence, composite events rate is 10.5%, 16.1%, 30.8% respectively at 3-month, and 13.9%, 20.3%, 41.7% at 6-month, as well as 17.3%, 23.6%, 42.1% at 1 year, respectively. Multivariable analysis showed that patients with recurrent stroke had a higher risk of death, recurrence and disability at 3-month, 6 month and 1 year (table 1). Conclusion: After adjusting for multiple risk factors, recurrent stroke is still an independent risk factor for poor prognosis of ischemic stroke, which further emphasizes the importance of secondary prevention of ischemic stroke, and the specific causes need to be furtherly investigated.

scholarly journals Stroke History is an Independent Risk Factor for Poor Prognosis in Ischemic Stroke Patients: Results from a Large Nationwide Stroke Registry

2020 ◽  
Vol 17 (4) ◽  
pp. 487-494
Author(s):  
Haiqiang Qin ◽  
Penglian Wang ◽  
Runhua Zhang ◽  
Miaoxin Yu ◽  
Guitao Zhang ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Poor Prognosis ◽  
Independent Risk Factor ◽  
Multivariable Analysis ◽  
Stroke Patients ◽  
Stroke Registry ◽  
Risk Of Death ◽  
History Of ◽  
The Difference

Background: There is some controversy whether stroke history is an independent risk factor for poor prognosis of stroke or not. This study aimed to investigate the difference of mortality, disability and recurrent rate of ischemic stroke patients without and with stroke history, as well as to explore the effect of stroke history on stroke prognosis. Methods: We analyzed patients with ischemic stroke enrolled in the China National Stroke Registry which was a nationwide, multicenter, and prospective registry of consecutive patients with acute cerebrovascular events from 2007 to 2008. Multivariable logistic regression was performed to assess the risk of worse prognosis of stroke history in patients with ischemic stroke. Results: A total of 8181(65.9%) patients without stroke history and 4234(34.1%) patients with stroke history were enrolled in the study. The mortality, recurrence, modified Rankin Scale (mRS) 3-6 rate was 11.4%, 14.7% and 28.5% respectively at 1 year for patients without stroke history, which was significantly lower than that of 17.3%, 23.6%, 42.1% in patients with stroke history, respectively. Multivariable analysis showed that patients with stroke history had higher risk of death [odds ratio (OR) 1.34,95% confidence interval (CI) 1.17-1.54], recurrence (OR 1.47, 95 % CI 1.31-1.65) and mRS 3-6 (OR 1.49,95% CI 1.34-1.66) at 1 year. Conclusion: After adjusting for the potential confounders, stroke history was still an independent risk factor for poor prognosis of ischemic stroke, which further emphasizes the importance of secondary prevention of ischemic stroke. The specific causes of poor prognosis in patients with history of stroke need to be furtherly investigated.

scholarly journals Gastrointestinal Bleeding Is an Independent Risk Factor for Poor Prognosis in GIST Patients

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Qi Liu ◽  
Yuji Li ◽  
Ming Dong ◽  
Fanmin Kong ◽  
Qi Dong
Keyword(s):  
Risk Factor ◽  
Gastrointestinal Bleeding ◽  
Retrospective Analysis ◽  
Digestive Tract ◽  
Gastrointestinal Hemorrhage ◽  
Gastrointestinal Stromal Tumors ◽  
Poor Prognosis ◽  
Independent Risk Factor ◽  
Stromal Tumors

A retrospective analysis of prognosis of GIST was used to assess the prognostic effects of hemorrhage of digestive tract induced by mucosal invasion of primary gastrointestinal stromal tumors and related mechanisms. The conclusion is that GISTs with gastrointestinal hemorrhage are more likely to recur, which indicates poor prognosis. Therefore, gastrointestinal hemorrhage may be used as a significant indicator to assess the prognosis of patients.

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