Correlation of FIBROSpect II With Histologic and Morphometric Evaluation of Liver Fibrosis in Chronic Hepatitis C

Division of Gastroenterology, Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina 27705, USA.
Clinical gastroenterology and hepatology: the official clinical practice journal of the American Gastroenterological Association (Impact Factor: 7.9). 02/2008; 6(2):242-7. DOI: 10.1016/j.cgh.2007.11.009
Source: PubMed


Accurate disease staging in chronic hepatitis C (CHC) infection helps guide treatment and may provide prognostic information. Liver biopsies are invasive, costly, and associated with morbidity. We hypothesized that a noninvasive test of liver fibrosis can accurately stage liver fibrosis. We prospectively evaluated the FIBROSpect II (FSII) biomarker panel versus pathology assessment and a quantitative measure of fibrosis.
Liver biopsy specimens and serum were obtained from 252 CHC patients, including 50 posttransplant, from 3 tertiary centers. Biopsy specimens were scored centrally and independently at each site, along with central quantification of fibrosis by digitized morphometry. Serum tests were performed blinded to clinical or histologic evaluation.
The mean biopsy specimen length was 1.95 +/- 0.87 cm; prevalence of stage F2 through F4 fibrosis was 77%. Agreement between central and site readings for individual stages was modest (k = 0.674), with concordant readings in 106 of 248 (43%) biopsy specimens. The area under the receiver operating characteristic curve for FSII and morphometry for stages F2 through F4 for concordant biopsy specimens were 0.823 and 0.728, respectively. Sensitivity and specificity for FSII were 83.5% and 66.7%, respectively, with an accuracy of 80.2%. The aspartate aminotransferase to platelet ratio index sensitivity and specificity for predicting F2 through F4 were 30.4% and 100%, respectively, the indeterminate rate was 40.4%, and the accuracy rate was 48.4%. The accuracy of FSII in concordant biopsy specimens in the posttransplant cohort was 73%.
Serum biomarkers can differentiate mild from moderate-to-severe fibrosis. This prospective study validates the performance characteristics of FSII in CHC patients and a posttransplant cohort. Assessing the diagnostic utility of biomarkers is limited by variability in methods to quantify fibrosis and poor interobserver agreement for histologic staging.

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    • "Histological diagnosis via liver biopsy has long been the gold standard for assessing the degree of fibrosis and inflammation, but is an invasive procedure with inherent risks and sampling variability [2]. Non-invasive strategies based on blood tests, including clinical serological models [3-6], serological glycomics and proteomics [7-9], were recently successful in predicting advanced stages of fibrosis and inflammation in some settings. However, none of these tests can completely replace liver biopsy. "
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    ABSTRACT: BACKGROUND and Due to known limitations of liver biopsy, reliable non-invasive serum biomarkers for chronic liver diseases are needed. We performed serum peptidomics for such investigation in compensated chronic hepatitis B (CHB) patients. Liquid chromatography combined with tandem mass spectrometry (LC-MS/MS) was used to identify differentially expressed peptides in sera from 40 CHB patients (20 with S0G0-S1G1 and 20 with S3G3-S4G4). Ion pair quantification from differentially expressed peptides in a validation set of sera from 86 CHB patients was done with multiple reaction monitoring (MRM). 21 differentially represented peptide peaks were found through LC-MS/MS. Ion pairs generated from eleven of these peptides (m/z < 800) were quantified by MRM. Summed peak area ratios of 6 ion pairs from peptide m/z 520.3 (176.1, 353.7, 459.8, 503.3, 351.3, 593.1), which was identified as dihydroxyacetone kinase (DAK) fragment, decreased from mild to advanced stages of fibrosis or inflammation. Area Under Receiver Operating Characteristic Curves (AUROCs) of five ion models discriminating fibrosis degrees were 0.871 ~ 0.915 (S2-4 versus S0-1) and 0.804 ~ 0.924 (S3-4 versus S0-2). AUROCs discriminating inflammation grades were 0.840 ~ 0.902 (G2-4 versus G0-1) and 0.787 ~ 0.888 (G3-4 versus G0-2). The diagnostic power of these models provides improved sensitivity and specificity for predicting disease progression as compared to aspartate aminotransferase to platelet ratio index (APRI), FIB-4, Forn's index and serum DAK protein. The peptide fragment (m/z 520.3) of DAK is a promising biomarker to guide timing of antiviral treatment and to avoid liver biopsy in compensated CHB patients.
    Journal of Translational Medicine 09/2013; 11(1):234. DOI:10.1186/1479-5876-11-234 · 3.93 Impact Factor
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    • "The FIBROSpect II test uses a combination of components in the fibrogenic cascade, such as hyaluronic acid, TIMP-1 (tissue inhibitor of metalloproteinase), and α-2-macroglobulin to calculate a composite score. The test is intended to differentiate mild fibrosis (Metavir stages F0 to F1) from more severe disease (Metavir stages F2 to F4), and had been shown to do well in chronic hepatitis C cohorts [88,89]. "
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    ABSTRACT: With great advancements in the therapeutic modalities used for the treatment of chronic liver diseases, the accurate assessment of liver fibrosis is a vital need for successful individualized management of disease activity in patients. The lack of accurate, reproducible and easily applied methods for fibrosis assessment has been the major limitation in both the clinical management and for research in liver diseases. However, the problem of the development of biomarkers capable of non-invasive staging of fibrosis in the liver is difficult due to the fact that the process of fibrogenesis is a component of the normal healing response to injury, invasion by pathogens, and many other etiologic factors. Current non-invasive methods range from serum biomarker assays to advanced imaging techniques such as transient elastography and magnetic resonance imaging (MRI). Among non-invasive methods that gain strongest clinical foothold are FibroScan elastometry and serum-based APRI and FibroTest. There are many other tests that are not yet widely validated, but are none the less, promising. The rate of adoption of non-invasive diagnostic tests for liver fibrosis differs from country to country, but remains limited. At the present time, use of non-invasive procedures could be recommended as pre-screening that may allow physicians to narrow down the patients' population before definitive testing of liver fibrosis by biopsy of the liver. This review provides a systematic overview of these techniques, as well as both direct and indirect biomarkers based approaches used to stage fibrosis and covers recent developments in this rapidly advancing area.
    BMC Gastroenterology 08/2011; 11(1):91. DOI:10.1186/1471-230X-11-91 · 2.37 Impact Factor
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    • "For these reasons, non-invasive methods of assessing the severity of fibrosis which may someday completely replace LB, are constantly being searched for. Among the non-invasive tests, the best results were obtained with liver stiffness measurement (LSM) by means of transient elastography (TE) (FibroScan®), and with FibroTest-ActiTest® (Biopredictive, Labcorp) [12] and Fibrospect II® (Prometheus) [13]. All these non-invasive methods are expensive and/or require equipment that is not widely available; therefore simpler, cheaper methods for the prediction of hepatic fibrosis were sought for. "
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    ABSTRACT: To compare several non-invasive methods of fibrosis assessment in chronic hepatitis C virus (HCV) infection (platelet count, the APRI score, the Forns score, the Lok score, FIB-4, Transient Elastography [TE]), versus percutaneous liver biopsy (LB). Our study included 150 patients with chronic HCV infection in which LB, liver stiffness measurement (LSM) by means of TE and biological tests needed for calculating the scores (according to the classic formulas) were performed in the same session. The best test for predicting significant fibrosis (F = 2 Metavir) was LSM with AUROC-0.773, followed by APRI (AUROC-0.763), Forns (AUROC-0.744), platelet count (AUROC-0.732), Lok (AUROC-0.701) and FIB-4 (AUROC-0.669), but the differences were not statistically significant (P > 0.05). For excluding cirrhosis, all the tests had excellent NPV (>97%). The best test for predicting cirrhosis was LSM (AUROC-0.979), significantly better than platelet count (AUROC- 0.899, P = 0.022) and than FIB-4 (AUROC-0.839, P = 0.042), otherwise the differences were not statistically significant (P > 0.05). All of the non-invasive tests were statistically significantly correlated (P < 0.0001) to the severity of fibrosis: APRI r=0.570; Forns r=0.540; Lok r=0.4843; FIB-4 r=0.4171; platelet count r=-0.4842. LSM by means of TE seems to be more sensitive than APRI, Forns, Lok and FIB-4 scores and than platelet count for the prediction of significant fibrosis, but the differences are not statistically significant. The APRI score and Forns scores correctly identified most (71%) of the patients having, or not having, significant fibrosis. LSM was the best method for predicting cirrhosis, but all the evaluated tests had excellent predictive value (AUROCs 0.839-0.979).
    Hepatitis Monthly 06/2010; 10(2):88-94. · 1.93 Impact Factor
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