scholarly journals Urine MACC1 Plays an Indicative Role in Diagnosing Bladder Cancer

2020 ◽  
Author(s):  
Hao Zi ◽  
Wen-Lin Tao ◽  
Lei Gao ◽  
Zhao-Hua Yu ◽  
Xiao-Dong Bai ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Roc Analysis ◽  
Tumor Stage ◽  
Operating Characteristics ◽  
Chi Square ◽  
Diagnostic Efficacy ◽  
Chi Square Test ◽  
Polymerase Chain

Abstract Background: Present study aimed to estimate the diagnostic efficacy of urine Metastasis-associated in colon cancer 1 (MACC1) for bladder cancer patients.Methods: Urine MACC1 expression was measured in bladder cancer patients and controls via quantitative real-time polymerase chain reaction (qRT-PCR) assay. Chi-square test was used to assess the correlation of urine MACC1 levels with clinicopathological features of the patients. The diagnostic performance of urine MACC1 was evaluated by receiver operating characteristics (ROC) curve.Results: Urine MACC1 was obviously elevated in bladder cancer patients compared with controls (P<0.001). What’s more, abnormal urine MACC1 expression was significantly correlated with differentiation (P=0.013), tumor stage (P=0.023), lymph node metastasis (P=0.033) and distant metastasis (P=0.026). Furthermore, according to ROC analysis, urine MACC1 could distinguish bladder cancer patients from controls with an AUC (the areas under the ROC curve) of 0.909. The cut-off value of urine MACC1 for bladder cancer diagnosis was 1.275, with 79.8% specificity and 87.3% sensitivity.Conclusion: Urine MACC1 may be act as a biomarkers for diagnosis of bladder cancer.

scholarly journals NFKBIA has the Capacity to Serve as a Diagnostic Biomarker for Prostate Cancer Patient

2020 ◽  
Author(s):  
Hao Zi ◽  
Wen-Lin Tao ◽  
Lei Gao ◽  
Zhao-Hua Yu ◽  
Xiao-Dong Bai ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mrna Expression ◽  
Cancer Patients ◽  
Roc Curve ◽  
Diagnostic Value ◽  
Chi Square ◽  
Chi Square Test ◽  
Auc Value ◽  
Alpha Gene ◽  
Polymerase Chain

Abstract Background: Prostate cancer is the the second leading cause of cancer-related death in male. NF-κB inhibitor alpha gene (NFKBIA), is found dys-expressed in the progression of tumors. The aim of this study was to investigate the expression of NFKBIA and its diagnostic value in prostate cancer patients.Methods: The mRNA expression of NFKBIA was detected with quantitative real-time polymerase chain reaction (qRT-PCR) assay and the association of its expression with clinical characteristic was analyzed via Chi-square test. Receiver operating characteristic (ROC) curve was built to evaluate the diagnostic value of serum NFKBIA.Results: The mRNA expression level of NFKBIA was significantly increased in prostate cancer patients compared with healthy controls (P<0.01). The high expression of NFKBIA was significantly associated with pathological T stage (P=0.010) and differentiation (P=0.019). ROC curve showed that serum NFKBIA had a high diagnostic value in differentiating prostate cancer patients from healthy individuals. The area under the ROC curve (AUC) value was 0.873 corresponding with a sensitivity of 85.6% and a specificity of 78.3%.Conclusions: The expression of NFKBIA was up-regulated in serum of prostate cancer patients and it may be a useful diagnostic bio-maker for the early detection of this cancer.

LncRNA CASC2 Plays an Indicative Role in Diagnosing Bladder Cancer

2020 ◽  
Author(s):  
Hao Zi ◽  
Wen-Lin Tao ◽  
Lei Gao ◽  
Zhao-Hua Yu ◽  
Xiao-Dong Bai ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Histological Grade ◽  
Diagnostic Value ◽  
Expression Level ◽  
Chi Square ◽  
Healthy Group ◽  
Cancer Group ◽  
Incidence And Mortality

Abstract Background: Bladder cancer is a common cancer of urinary system, with high incidence and mortality. LncRNA CASC2 as a tumor suppressor has been reported to be involved in many human tumors. In this study, we aimed to explore the diagnostic value of CASC2 for bladder cancer patients.Methods: qRT-PCR was used to detect the expression level of CASC2 in 140 bladder cancer patients and 90 healthy volunteers. The differences of CASC2 expression between the cancer group and healthy group were analyzed using student’s t test. The correlation of CASC2 expression with clinical characteristics of the bladder cancer patients was estimated with Chi-square test. In addition, ROC curve was plotted to evaluate the diagnostic value of CASC2 for bladder cancer patients.Results: Serum CASC2 level was lower in bladder cancer patients than that in healthy group (P<0.05). The expression level of CASC2 was significantly associated with histological grade (P=0.000), TNM stage (P=0.000), and lymph node metastasis (P=0.001). The area under the ROC curve (AUC) was 0.864 and the optimal cutoff value was 0.955, suggesting the diagnostic value of CASC2 for bladder cancer. The diagnostic sensitivity was 77.8% and specificity was 85.7%.Conclusion: CASC2 may be a novel biomarker for early diagnosis of bladder cancer.

scholarly journals MiR-106B Represents an Innovative Bio-marker in Cholangiocarcinoma Detection

2020 ◽  
Author(s):  
Ning Wang ◽  
Yanni Li ◽  
Yanfang Zheng ◽  
Huoming Chen ◽  
Xiaolong Wen ◽  
...  
Keyword(s):  
Roc Curve ◽  
Clinical Stage ◽  
Serum Levels ◽  
Diagnostic Value ◽  
Diagnostic Biomarker ◽  
Chi Square ◽  
Chi Square Test ◽  
Healthy Control ◽  
Important Regulator ◽  
Polymerase Chain

Abstract Background Cholangiocarcinoma (CCA) is one of the most aggressive malignancies. Late diagnosis may be responsible for the high mortality. MicroRNA-106b (MiR-106b) is accepted as an important regulator in various human malignancies. The current study was aimed to investigate the diagnostic value of miR-106b in CCA. Methods Serum levels of miR-106b in CCA patients and healthy control were evaluated by quantitative real-time polymerase chain reaction (qRT-PCR). Chi-square test was used to analyze the association of miR-106b with the clinicopathological features. To evaluate the diagnostic value of miR-106b in CCA, the ROC curve was constructed. Results The expression of miR-106b was significantly increased in CCA samples compared with the healthy controls (P < 0.001). The overexpression of miR-106b was remarkable correlated with the lymphatic node metastasis (P = 0.038), clinical stage (P = 0.017) and differentiation (P = 0.009). ROC curve suggested that miR-106b was an effective diagnostic biomarker in CCA with the AUC of 0.913. The optimal cutoff value was 2.525, with the sensitivity of 89.7% and the specificity of 79.3%. Conclusions MiR-106b functions as an oncogene in CCA, which may be an potential diagnostic biomarker for CCA.

scholarly journals Downregulation of Urinary microRNA-200c acts as a Promising Novel Bio-marker in the Diagnosis of Patients With Bladder Cancer

2020 ◽  
Author(s):  
Hao Zi ◽  
Wen-Lin Tao ◽  
Lei Gao ◽  
Zhao-Hua Yu ◽  
Xiao-Dong Bai ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Area Under The Curve ◽  
Tumor Grade ◽  
Healthy Controls ◽  
Strongly Correlated ◽  
Operating Characteristics ◽  
Diagnostic Capacity ◽  
Pcr Method

Abstract BackgroundMicroRANs (miRNAs) have been reported to be involved in various human cancers. The aim of this study was to explore the diagnostic performance of urine miR-200c in bladder cancer. MethodsQuantitative real-time polymerase chain reaction (qRT-PCR) method was applied to measure the relative expression of urine miR-200c in bladder cancer patients. The relationship between urine miR-200c level and clinicopathological factors was analyzed using χ2 test. The diagnostic capacity of urine miR-200c was calculated using the receiver operating characteristics (ROC) curve analysis.ResultsUrinary level of miR-200c was significantly reduced in bladder cancer patients compared with healthy controls (P=0.000). Furthermore, urine miR-200c expression was strongly correlated with histologic grade (P=0.019), tumor grade (P=0.003), and lymph node metastasis (P=0.001). ROC curve showed that urine miR-200c could distinguish bladder cancer patients from healthy controls with an area under the curve of 0.844. The cutoff value of 1.235, with the sensitivity of 89.0% and the specificity of 70.7% respectively.ConclusionUrine miR-200c may act as a noninvasive diagnostic biomarker for bladder cancer.

scholarly journals MiR-378 Has the Capacity to Serve as a Diagnostic Biomarker for Prostate Cancer Patient

2020 ◽  
Author(s):  
Shuangqing Cao ◽  
Lei Zheng
Keyword(s):  
Prostate Cancer ◽  
Roc Curve ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Diagnostic Value ◽  
Healthy Individuals ◽  
Chi Square ◽  
Urine Retention ◽  
Potential Biomarker ◽  
Chi Square Test

Abstract Background: This study aimed to examine the expression of serum miR-378 in prostate cancer (PCa) patients and healthy individuals and to identify the value of miR-378 in PCa diagnosis.Methods: The expression of serum miR-378 between groups was compared by t-test. The association between miR-378 expression and clinical characteristics of PCa patients was assessed using Chi-square test. The diagnostic value of serum miR-378 in PCa was estimated by the receiver operating characteristic (ROC) analysis.Results: The expression level of serum miR-378 in PCa patients was significantly lower than that in healthy individuals (P<0.0001). MiR-378 expression was affected by positive AR (P=0.004), large Gleason score (P=0.013) and advanced TNM stage (P=0.020), however, it had no relationship with age, serum PSA, NED rate and urine retention (all, P>0.05). The ROC curve showed that the optimal cutoff value was 1.845, giving the sensitivity and specificity of 75.21% and 89.77%, respectively. Besides, the area under the ROC curve (AUC) was 0.894, indicating serum miR-378 was of great diagnostic value in screening PCa patients from healthy controls (P<0.0001, 95%CI =0.852-0.936).Conclusions: Taken together, the increased expression of serum miR-378 might act as a potential biomarker for PCa diagnosis.

scholarly journals Comparison of EuroSCORE II with EuroSCORE in Cardiac Surgical Patients in a Tertiary Level Teaching Hospital in Nepal

2020 ◽  
Vol 42 (2) ◽  
pp. 5-9
Author(s):  
Bishwas Pradhan ◽  
Priska Bastola ◽  
Madindra B Basnet ◽  
Bibhush Shrestha ◽  
Shailendra Sigdel ◽  
...  
Keyword(s):  
Roc Curve ◽  
Additive Model ◽  
Area Under The Curve ◽  
Surgical Patients ◽  
Operating Characteristics ◽  
Chi Square ◽  
Discrimination Power ◽  
Standard Tool ◽  
Chi Square Test ◽  
Cardiac Operative Risk Evaluation

Introduction European System for Cardiac Operative Risk Evaluation (EuroSCORE) is the standard tool for risk stratification of patients undergoing cardiac surgery. Its relevance has been validated in European, Asian countries and also in Nepal. Its limitations led to development of EuroSCORE II. This study was carried out to compare EuroSCORE II with EuroSCORE in Nepalese cardiac surgical patients. MethodsA retrospective analytical cohort study of 3 years duration in 972 adult cardiac surgeries was conducted. Scores obtained from EuroSCORE (Logistic and Additive) and EuroSCORE II was compared with the observed mortality. Calibration was calculated by Hosmer- Lemeshow (H-L) test (Chi Square test) and discrimination by calculating the area under the curve (AUC) of receiver operating characteristics (ROC) curve. ResultsObserved mortality was 4.11%. EuroSCORE additive, logistic and EuroSCORE II predicted mortality were 4.32%, 4.55% and 2.13% respectively. H-L chi square calculation for EuroSCORE additive model could not hold as all observed and expected frequencies match exactly. Hence it can be considered as a good fit. EuroSCORE logistic model (H-L, Chi-square 7.743, p<0.001) and EuroSCORE II (H-L, Chi-square 11.631, p = 0.168) also showed good fit i.e. both can predict mortality satisfactorily. AUC of ROC curve of EuroSCORE additive, logistic and EuroSCORE II were 0.632, 0.636 and 0.616 respectively, which showed fair discrimination power. ConclusionMortality prediction of adult cardiac surgical patients by EuroSCORE (additive and logistic) and EuroSCORE II was satisfactory.

scholarly journals Serum MALAT1 Assumes Signifying Capacity in Gastric Cancer Diagnosis.

2020 ◽  
Author(s):  
Keqian Zhang ◽  
Tianqi Mao ◽  
Zhicheng He ◽  
Xiaojiao Wu ◽  
Yu Peng ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Chain Reaction ◽  
Serum Samples ◽  
Chi Square ◽  
Chi Square Test ◽  
Polymerase Chain

Abstract Background: Gastric cancer (GC) represents one of the most serious cancers worldwide with the increasing mortality. Metastasis associated lung adenocarcinoma transcript 1 (MALAT1), a kind of lncRNAs, has been reported to be involved in the progression of cancers. This study aimed to assess serum expression pattern of MALAT1 and its clinical significance in diagnosis of GC.Methods: Serum specimens were collected from 120 GC patients and 58 healthy individuals. The expression profile of MALAT1 was examined using quantitative real-time polymerase chain reaction (qRT-PCR), and its association with clinical parameters was estimated by chi-square test. The diagnostic value of MALAT1 in GC was evaluated by the receiver operating characteristic (ROC) analysis.Results: Upregulated expression of MALTA1 was found in GC patients compared with the healthy controls (P<0.05). The overexpression of MALAT1 was positively correlated with lymph node metastasis (P=0.041) and TNM stage (P=0.005). An area under the curve (AUC) was 0.897 in ROC analysis, suggesting the high diagnostic value of MALAT1. Conclusion: The expression of MALAT1 was upregulated in GC serum samples, and its expression might serve as a potential diagnostic biomarker in patients with GC.

scholarly journals HTATIP2 Represents an Innovative Bio-marker in Hepatocellular Carcinoma Detection

2020 ◽  
Author(s):  
Xianfeng Zhang ◽  
Xianjun Zhang ◽  
Xinguo Li ◽  
Hongbing Bao ◽  
Guang Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Serum Level ◽  
Roc Curve ◽  
Mrna Level ◽  
Venous Invasion ◽  
Operating Characteristics ◽  
Chi Square ◽  
Diagnostic Significance ◽  
Diagnostic Role ◽  
Chi Square Test

Abstract Background: This study was designed to investigate the serum level of HIV-1 Tat interactive protein 2 (HTATIP2) mRNA in hepatocellular carcinoma (HCC) patients and its diagnostic significance in the disease.Methods: The serum HTATIP2 mRNA level was determined by quantitative real-time polymerase chain reaction (qRT-PCR). The relationship between HTATIP2 expression and clinical parameters was analyzed using Chi-square test. Receiver operating characteristics (ROC) curve was adopted to estimate the diagnostic role of serum HTATIP2 in HCC.Results: HCC patients showed a significantly lower serum level of HTATIP2 than the healthy control (P<0.001). The level of HTATIP2 was closely associated with venous invasion (P=0.011), lymph node metastasis (P=0.007) and TNM stage (P=0.016). ROC curve demonstrated that HTATIP2 could discriminate between HCC patients and healthy individuals at the optimal cutoff point of 2.39. Besides, the AUC was 0.892, with the corresponding sensitivity and specificity of 83.90% and 84.37%, respectively. Conclusions: HTATIP2 is negatively expressed in HCC and may be a diagnostic biomarker for this disease.

scholarly journals NOB1 Assumes Signifying Capacity in Lung Cancer Diagnosis.

2020 ◽  
Author(s):  
Jun Yang ◽  
Hua Zhong ◽  
Qinghui Yang ◽  
Jian Yu ◽  
Cailing Jin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Diagnostic Value ◽  
Pcr Analysis ◽  
Healthy Controls ◽  
Operating Characteristics ◽  
Chi Square ◽  
Lung Cancer Patients ◽  
Lung Cancer Diagnosis

Abstract Background: NIN1/RPN12 binding protein 1 homolog (NOB1) gene was reported to play a key role in the oncogenesis and prognosis of carcinomas. The aim of the present study was to investigate the expression of NOB1 and its clinical significance in lung cancer, and further explore the diagnostic value of NOB1 in lung cancer patients.Methods: Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was used to characterize the expression of NOB1 in 97 lung cancer patients and 55 healthy controls. The associations of NOB1 mRNA expression with clinicopathological factors of lung cancer patients were analyzed by Chi-square test. The receiver operating characteristics (ROC) curve was used to evaluate the diagnostic value of NOB1 in lung cancer.Results: The expression levels of NOB1 mRNA in lung cancer samples were significantly up-regulated compared with healthy controls (P<0.001). And the NOB1 expression was significant correlated with differentiation (P=0.005) and invasion depth (P=0.008). No associations were found between NOB1 expression and other factors (All P>0.05). ROC curve revealed that the area under ROC curve (AUC) was 0.885, with a sensitivity of 76.3% and a specificity of 89.1%. And the cutoff value of NOB1 was 2.225.Conclusion: NOB1 is a sensitive and specific diagnostic marker for lung cancer, and provide a new therapeutic target for lung cancer treatment.

scholarly journals High Apelin Level Indicates a Poor Prognostic Factor in Muscle-Invasive Bladder Cancer

2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Long Yang ◽  
Yan-Lei Li ◽  
Xiao-Qing Li ◽  
Zheng Zhang
Keyword(s):  
Bladder Cancer ◽  
Cancer Patients ◽  
Vascular Invasion ◽  
Tumor Stage ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
High Tumor Stage ◽  
Muscle Invasive

Purpose. To compare the expression level of apelin in muscle-invasive bladder cancer and matched paracarcinoma tissues and investigate the relationship between apelin and clinical prognosis in the patients. Methods. To assess apelin expression by using immunohistochemical method compared with bladder tumors and matched paracarcinoma tissues. Subsequently, the correlation of apelin expression with the clinicopathological features of bladder cancer patients was analyzed. Kaplan-Meier survival curves method was used to analyze apelin prognostic significance for muscle-invasive bladder cancer patients (including 404 muscle-invasive bladder cancer patients and 28 normal bladder tissues, in TCGA dataset). Results. Apelin protein level was overexpressed in bladder tumor tissues compared with paracarcinoma tissues. Furthermore, high apelin expression was associated with high tumor stage (P<0.05), distant metastasis (P<0.05), and vascular invasion (P<0.05). Kaplan-Meier curve analyses showed that the overexpression of apelin was a potential predictor of overall survival and disease-free survival. Conclusion. Apelin was upregulated in bladder tumor tissues compared with matched adjacent noncancer tissues, especially in the high tumor stage, distant metastasis, and vascular invasion. What is more, high expression of apelin in muscle-invasive bladder cancer indicates the poor prognosis. These data suggested that apelin might be a therapeutic potential biomarker in muscle-invasive bladder cancer patients.

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