Circulating Biomarkers in Bladder Cancer

Nandagopal, Lakshminarayanan; Sonpavde, Guru

doi:10.3233/blc-160075

Cited by 27 publications

(26 citation statements)

References 97 publications

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“…27,28 Until now, a plethora of single molecular biomarkers have been reported, [7][8][9] but only a few have been validated for clinical use or recommended by guidelines. [29][30][31] On the other hand, the predictive effect of a multiple gene signature has been highlighted. 32,33 In this study, we conducted GSVA to screen the most important Recent studies have revealed the involvement of EMT in the pathogenesis of cancers, including BLCA.…”

Section: Discussionmentioning

confidence: 99%

An EMT‐related gene signature for the prognosis of human bladder cancer

Cao

Yuan

et al. 2019

J Cellular Molecular Medi

154

120

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The transition from non–muscle‐invasive bladder cancer (NMIBC) to muscle‐invasive bladder cancer (MIBC) is detrimental to bladder cancer (BLCA) patients. Here, we aimed to study the underlying mechanism of the subtype transition. Gene set variation analysis (GSVA) revealed the epithelial‐mesenchymal transition (EMT) signalling pathway with the most positive correlation in this transition. Then, we built a LASSO Cox regression model of an EMT‐related gene signature in BLCA. The patients with high risk scores had significantly worse overall survival (OS) and disease‐free survival (DFS) than those with low risk scores. The EMT‐related gene signature also performed favourably in the accuracy of prognosis and in the subtype survival analysis. Univariate and multivariate Cox regression analyses demonstrated that the EMT‐related gene signature, pathological N stage and age were independent prognostic factors for predicting survival in BLCA patients. Furthermore, the predictive nomogram model was able to effectively predict the outcome of BLCA patients by appropriately stratifying the risk score. In conclusion, we developed a novel EMT‐related gene signature that has tumour‐promoting effects, acts as a negative independent prognostic factor and might facilitate personalized counselling and treatment in BLCA.

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Section: Discussionmentioning

confidence: 99%

An EMT‐related gene signature for the prognosis of human bladder cancer

Cao

Yuan

et al. 2019

J Cellular Molecular Medi

154

120

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“…Circulating nucleic acids are currently being evaluated as biomarkers in several different diseases (210,211,212,213,214,215). One of the criteria for biomarkers in clinical use is high sensitivity and specificity, e.g.…”

Section: Tissue Injury and Release Of Nucleic Acidsmentioning

confidence: 99%

Low Circulating Levels of Mitochondrial and High Levels of Nuclear DNA Predict Mortality in Chronic Heart Failure

Dhondup

Ueland

Dahl

et al. 2016

Journal of Cardiac Failure

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“…Circulation biomarkers can facilitate the screening of cancer, understanding of tumor biology, and early discovery of recurrence with minimum invasion. (5) The study of circulating biomarkers is of great concern due to the identification of more and more serum molecules, such as proteins, metabolites, and microRNAs recently. (6) Liquid chromatography-mass spectrometry (LC-MS)-based metabolomics is a powerful tool that has been used to discover novel circulating biomarkers for many diseases.…”

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confidence: 99%

A Large‐scale, multicenter serum metabolite biomarker identification study for the early detection of hepatocellular carcinoma

et al. 2018

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Hepatocellular carcinoma (HCC) is the third most lethal cancer worldwide. The lack of effective biomarkers for the early detection of HCC results in unsatisfactory curative treatments. Here, metabolite biomarkers were identified and validated for HCC diagnosis. A total of 1,448 subjects, including healthy controls and patients with chronic hepatitis B virus infection, liver cirrhosis, and HCC, were recruited from multiple centers in China. Liquid chromatography-mass spectrometry-based metabolomics methods were used to characterize the subjects' serum metabolic profiles and to screen and validate the HCC biomarkers. A serum metabolite biomarker panel including phenylalanyl-tryptophan and glycocholate was defined. This panel had a higher diagnostic performance than did a-fetoprotein (AFP) in differentiating HCC from a high-risk population of cirrhosis, such as an area under the receiver-operating characteristic curve of 0.930, 0.892, and 0.807 for the panel versus 0.657, 0.725, and 0.650 for AFP in the discovery set, test set, and cohort 1 of the validation set, respectively. In the nested case-control study, this panel had high sensitivity (range 80.0%-70.3%) to detect preclinical HCC, and its combination with AFP provided better risk prediction of preclinical HCC before clinical diagnosis. Besides, this panel showed a larger area under the receiver-operating characteristic curve than did AFP (0.866 versus 0.682) to distinguish small HCC, and 80.6% of the AFP false-negative patients with HCC were correctly diagnosed using this panel in the test set, which was corroborated by the validation set. The specificity and biological relevance of the identified biomarkers were further evaluated using sera from another two cancers and HCC tissue specimens, respectively. Conclusion: The discovered and validated serum metabolite biomarker panel exhibits good diagnostic performance for the early detection of HCC from at-risk populations. (HEPATOLOGY 2018;67:662-675).H epatocellular carcinoma (HCC) is one of the most fatal malignancies, causes approximately 7 million deaths worldwide, and exhibits a significant decrease in the 1-year to 5-year survival rate from 47% to 10%. (1,2) About 50% of all new cases and deaths related to liver cancer worldwide occur in

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Circulating Biomarkers in Bladder Cancer

Cited by 27 publications

References 97 publications

An EMT‐related gene signature for the prognosis of human bladder cancer

An EMT‐related gene signature for the prognosis of human bladder cancer

Low Circulating Levels of Mitochondrial and High Levels of Nuclear DNA Predict Mortality in Chronic Heart Failure

A Large‐scale, multicenter serum metabolite biomarker identification study for the early detection of hepatocellular carcinoma

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