Golgi protein 73 versus alpha-fetoprotein as a biomarker for hepatocellular carcinoma: a diagnostic meta- analysis

Zhou, Ying; Yin, Xiaoxing; Ying, Jun; Zhang, Boheng

doi:10.1186/1471-2407-12-17

Cited by 72 publications

(66 citation statements)

References 34 publications

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“…Alpha-fetoprotein (AFP) is a glycoprotein that is produced in early fetal life by the liver and by a variety of tumors including hepato-cellular carcinoma. AFP and CEA levels greater than control are correlated with the tumor and also it's confirm that HCC [25]. The treatment with 1,3BPMU shows that, significant reduction AFP and CEA levels in plasma.…”

Section: Discussionsupporting

confidence: 63%

Identification of Differential Protein Expression in Hepatocellular Carcinoma Induced Wistar Albino Rats by 2D Electrophoresis and MALDI-TOF–MS Analysis

et al. 2015

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Hepato cellular carcinoma (HCC) is a type of malignant tumor. To investigate the proteins in cancer molecular mechanism and its role in HCC, we have used proteomic tools such as 2DE and MALDI-TOF-MS. Our investigation ravels that, plasma α-fetoprotein and carcinoembryonic antigen levels were elevated in DEN induced rats and gradually decreased after the treatment with 1,3BPMU. 2DE and MALDI-TOF-MS tool offers to identify the up and down regulation of proteins in HCC. Proteomic study reveals that, five differentially expressed proteins were identified in DEN induced rats and 1,3BPMU treated rats i.e. three up regulated protein such as T kininogen, NDPKB, PRMT1 (DEN induced rats), RGS19 and PAF (1,3BPMU treated rats) in 3BPMU treated rats, activation of transcription of a single gene from multiple promoters provides flexibility in the controlled gene expression. The regulations of hepatocyte stimulating factor were slow down the proliferation of hepatic cell and uncontrolled hepatic cell growth and also molecular signals strongly argue for a patho-physiological role in liver metastasis to control the cell aggression. This indicates that, anti cancer property of 1,3BPMU can be used as potent anti cancer agent. The present study also shows the proteomic approach helps to elucidate the tumor maker as well as regulatory marker proteins in HCC.

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Section: Discussionsupporting

confidence: 63%

Identification of Differential Protein Expression in Hepatocellular Carcinoma Induced Wistar Albino Rats by 2D Electrophoresis and MALDI-TOF–MS Analysis

et al. 2015

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“…At a threshold value of RU 10 units, GP73 sensitivity, specificity and AUC are 69%, 75% and 0.914 respectively [39] . The combination of GP73 and AFP (with a 35 ng/mL threshold for AFP and an 8.5 RU threshold for GP73) increased the HCC diagnostic sensitivity to 89.2%, specificity to 85.2%, with an AUC of 0.914 [40] .…”

Section: Golgi Protein 73mentioning

confidence: 99%

Role of biomarkers in the prediction and diagnosis of hepatocellular carcinoma

Khattab

Fouad

Ahmed

2015

WJH

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The prevalence of hepatocellular carcinoma (HCC) has progressively increased in recent years and is now the fifth and the second most common cancer in the World and in Egypt, respectively. Much work has focused in the development of assays for detecting hepatic carcinogensis before the observance of hepatic focal lesions. Particular attention has been directed towards HCC-specific biomarkers for use in the early diagnosis of HCC and in the confirmation of radiological studies. Although a number of biomarkers have been identified, none have been considered reliable indicators of early HCC lesions. This review presents a few of the most relevant HCC biomarkers and suggests improvements to the accuracy of diagnostic assays through their combined use. Furthermore, we present an algorithm for the biomarker-based diagnosis of HCC and highlight its important role in the early prediction of HCC. Core tip: Alpha-fetoprotein (AFP) has been widely used as a reference biomarker to validate the diagnosis of hepatocellular carcinoma (HCC). However, normal physiological-levels of AFP are observed in approximately one third of HCC cases. Furthermore, a number of HCC positive patients have AFP levels less than the threshold value of 400 ng/mL. These factors make an AFP-based diagnosis of HCC far from reliable. However, high diagnostic accuracy indices have been reported when AFP is combined with other biomarkers such as midkine, golgi protein 73, des-γ-carboxyprothrombin, glypican-3, and gamma-glutamyl transferase.Khattab M, Fouad M, Ahmed E. Role of biomarkers in the prediction and diagnosis of hepatocellular carcinoma. World J Hepatol 2015; 7(23): 24742481 Available from:

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“…Also, there are some limits in sensitivity and specificity of the alpha-fetoprotein for HCC. 26 However, there was a very good correlation between the total HCC diameter in pathology and the total lesion diameter with an AEF greater than 50%. A further study comparing the sum of AEF values per tumor volume with the serum tumor markers in a larger series of patients would be very promising.…”

Section: Discussionmentioning

confidence: 99%

Hepatocellular Carcinoma Screening With Computed Tomography Using the Arterial Enhancement Fraction With Radiologic-Pathologic Correlation

Huber

Schuster

Ebner

et al. 2016

Investigative Radiology

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Objective: The aim of this study was to investigate the performance of the arterial enhancement fraction (AEF) in multiphasic computed tomography (CT) acquisitions to detect hepatocellular carcinoma (HCC) in liver transplant recipients in correlation with the pathologic analysis of the corresponding liver explants. Materials and Methods: Fifty-five transplant recipients were analyzed: 35 patients with 108 histologically proven HCC lesions and 20 patients with end-stage liver disease without HCC. Six radiologists looked at the triphasic CT acquisitions with the AEF maps in a first readout. For the second readout without the AEF maps, 3 radiologists analyzed triphasic CT acquisitions (group 1), whereas the other 3 readers had 4 contrast acquisitions available (group 2). A jackknife free-response reader receiver operating characteristic analysis was used to compare the readout performance of the readers. Receiver operating characteristic analysis was used to determine the optimal cutoff value of the AEF. Results: The figure of merit (θ = 0.6935) for the conventional triphasic readout was significantly inferior compared with the triphasic readout with additional use of the AEF (θ = 0.7478, P < 0.0001) in group 1. There was no significant difference between the fourphasic conventional readout (θ = 0.7569) and the triphasic readout (θ = 0.7615, P = 0.7541) with the AEF in group 2. Without the AEF, HCC lesions were detected with a sensitivity of 30.7% (95% confidence interval [CI], 25.5%-36.4%) and a specificity of 97.1% (96.0%-98.0%) by group 1 looking at 3 CT acquisition phases and with a sensitivity of 42.1% (36.2%-48.1%) and a specificity of 97.5% (96.4%-98.3%) in group 2 looking at 4 CT acquisition phases. Using the AEF maps, both groups looking at the same 3 acquisition phases, the sensitivity was 47.7% (95% CI, 41.9%-53.5%) with a specificity of 97.4% (96.4%-98.3%) in group 1 and 49.8% (95% CI, 43.9%-55.8%)/97.6% (96.6%-98.4%) in group 2. The optimal cutoff for the AEF was 50%. Conclusion: The AEF is a helpful tool to screen for HCC with CT. The use of the AEF maps may significantly improve HCC detection, which allows omitting the fourth CT acquisition phase and thus making a 25% reduction of radiation dose possible. 3 The most cost-effective strategy to screen patients with chronic liver disease for HCC is sonography with testing of the serum alpha-fetoprotein level every 6 months.4 But a low sensitivity of ultrasound for HCC detection favors screening with computed tomography (CT), especially for patients on the orthotopic liver transplantation (OLT) list. 5,6 During the last few years, there were several published papers showing an increased detectability of HCC lesions with CT perfusion. 7-10Beneath the motion artefacts, 1 major limitation for CT perfusion is the high radiation dose, especially in a setting of long-duration HCC surveillance in patients on the OLT list.11 The calculation of the arterial enhancement fraction (AEF), as introduced by Kim et al,12 allows the calculation of a quantitative colored ...

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Golgi protein 73 versus alpha-fetoprotein as a biomarker for hepatocellular carcinoma: a diagnostic meta- analysis

Cited by 72 publications

References 34 publications

Identification of Differential Protein Expression in Hepatocellular Carcinoma Induced Wistar Albino Rats by 2D Electrophoresis and MALDI-TOF–MS Analysis

Identification of Differential Protein Expression in Hepatocellular Carcinoma Induced Wistar Albino Rats by 2D Electrophoresis and MALDI-TOF–MS Analysis

Role of biomarkers in the prediction and diagnosis of hepatocellular carcinoma

Hepatocellular Carcinoma Screening With Computed Tomography Using the Arterial Enhancement Fraction With Radiologic-Pathologic Correlation

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