Literature DB >> 22851668

HCCR-1 for detecting small hepatocellular carcinoma latent in a cirrhotic liver: a prospective cohort study.

Peng Jirun, Guoxin Zhang, Seon-Ah Ha, Hyun Kee Kim, Jinah Yoo, Sanghee Kim, Jin Zhongtian, Cui Zhuqingqing, Youn Soo Lee, Gi Hwan Gong, Joo Hee Yoon, Hae Nam Lee, Sa Jin Kim, Tae Eung Kim, Eun Young Song, Yun Kyung Lee, Yong Gyu Park, Jin Woo Kim.   

Abstract

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Year:  2012        PMID: 22851668      PMCID: PMC3437781          DOI: 10.1136/gutjnl-2012-301994

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


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We read with great interest the leading article by Tremosini and coworkers in Gut (2012 doi:10.1136/gutjnl-2011-301951) on the prospective validation of an immunohistochemical panel (glypican 3, heat shock protein 70 and glutamine synthetase) in liver biopsies for diagnosis of very early hepatocellular carcinoma (HCC).1 In this prospective study which included nodules <2 cm, this panel had 60% sensitivity and 100% specificity when at least two of the markers (regardless of which) were positive. These data establish the clinical usefulness of this panel of genetic biomarkers for the histological diagnosis of early HCC.1 The distinction between early HCC changes and dysplastic nodules among cirrhotic patients is challenging even in expert hands. Therefore, further prospective studies with a predominant inclusion of HCC lesions of <2 cm in diameter are needed for the final validation and confirmation of the conclusions of this interesting study. Screening programmes have been developed for the surveillance of patients at risk of HCC (mainly liver cirrhosis) for detection at an early stage.2 Regrettably, a large proportion of small HCC does not meet the non-invasive diagnosis criteria (US, CT or MRI), and a biopsy should be requested for confirmation of HCC.2 Although a biopsy is usually considered the gold standard, it is also flawed by an excessive rate of false negative results.1 Despite the large number of studies devoted to the immunohistochemistry of HCC, the absolute positive and negative markers for HCC are still lacking, and even those characterised by very high sensitivity and specificity do not have a universal diagnostic usefulness. So far, serum biomarkers such as AFP, AFP-L3, DCP, AFU, GGT, GP-73, MUC-1, SCCA, GPC-3, and a new generation of IgM-immunocomplexes have significant diagnostic limitations, and in fact they are not particularly precise for the early diagnosis of HCC. Simultaneous determination of these markers in various combinations could improve the accuracy in differentiating HCC from non-malignant hepatopathy. It has been reported that HCCR-1 is elevated according to disease progression from liver cirrhosis to HCC, and it is more frequently positive in patients with early small HCC.3 4 The aim of this study is to assess, prospectively, the diagnostic accuracy of AFP, DCP and HCCR-1 for the diagnosis of early HCC in a cirrhotic background. A total of 2040 subjects, including 612 patients with HCC, 608 patients with liver cirrhosis, 402 patients with chronic hepatitis and 418 normal volunteers were investigated between 2004 and 2010 through the prospective cohort study in China and Korea. The sensitivity, specificity and positive predictive value for HCCR-1 were 41.6%, 87.4% and 58.6%; for AFP, 65.4%, 80.2% and 58.6%; and for DCP, 44.3%, 86.7% and 58.7%, respectively (table 1). A combination of three biomarkers yielded an improved sensitivity of 75.4% for detecting HCC. When only those with early HCC were evaluated, the AUC for AFP and HCCR-1 was almost identical, while that of DCP was rather low (figure 1). In addition, the sensitivities of AFP, DCP and HCCR-1 in small HCC (<2 cm) were 39.7%, 11.5% and 51.9%, respectively, using the currently recommended cut-offs for AFP (20 ng/ml), DCP (40 mAU/ml) and HCCR-1 (10 ng/ml) (data not shown). The one-year cumulative incidence rates of HCC for cirrhosis patients positive for AFP or HCCR-1 were 15.0% and 20.4%, respectively. HCCR-1 was also detected in 35.9% (52/145) of HCC-negative both for AFP and DCP. Therefore, our study suggests that the HCCR-1 could be a useful biomarker for the detection of small HCC (<2 cm), for the detection of HCC latent in a cirrhotic liver, and for the diagnosis of both AFP- and DCP-negative HCC.
Table 1

Sensitivity, specificity, PPV, NPV, accuracy, youden index (J=Se+Sp-1) of AFP, DCP and HCCR-1 when combined

Serum markerSensitivity (%)Specificity (%)PPV (%)NPV (%)Accuracy (%)Youden indexAUC
AFP65.4%80.2%58.6%84.4%75.8%0.4560.791
DCP44.3%86.7%58.7%78.4%74.0%0.310.678
HCCR-141.6%87.4%58.6%77.7%73.7%0.290.643
AFP+DCP67.7%82.9%62.8%85.7%78.3%0.5060.824
AFP+HCCR-175.2%75.8%57.1%87.7%75.6%0.510.830
DCP+HCCR-155.9%84.7%61.0%81.8%76.1%0.4060.746
AFP+DCP+HCCR-175.4%79.3%60.8%88.3%78.1%0.5470.891
Figure 1

ROC curves comparing AFP, DCP and HCCR-1 in patients with HCC (Panel A) or small HCC (Panel B) versus those with non-malignant liver disease. The curves show the optimal cut-off value for AFP of 10 ng/ml, for DCP of 22 mAU/ml, and for HCCR-1 of 1.96 ng/ml. The area under the ROC curve is shown with its 95% confidence. AFP is blue, DCP is brown, HCCR-1 is green, and AFP + HCCR-1 + and DCP is purple. The number of cases for each group used in this ROC curve analyses is 612 (HCC), 131 (early HCC) and 1010 (those with non-malignant disease). AUC, Area Under the Curve.

Sensitivity, specificity, PPV, NPV, accuracy, youden index (J=Se+Sp-1) of AFP, DCP and HCCR-1 when combined ROC curves comparing AFP, DCP and HCCR-1 in patients with HCC (Panel A) or small HCC (Panel B) versus those with non-malignant liver disease. The curves show the optimal cut-off value for AFP of 10 ng/ml, for DCP of 22 mAU/ml, and for HCCR-1 of 1.96 ng/ml. The area under the ROC curve is shown with its 95% confidence. AFP is blue, DCP is brown, HCCR-1 is green, and AFP + HCCR-1 + and DCP is purple. The number of cases for each group used in this ROC curve analyses is 612 (HCC), 131 (early HCC) and 1010 (those with non-malignant disease). AUC, Area Under the Curve.
  4 in total

1.  Non-invasive diagnosis of hepatocellular carcinoma ≤ 2 cm in cirrhosis. Diagnostic accuracy assessing fat, capsule and signal intensity at dynamic MRI.

Authors:  Jordi Rimola; Alejandro Forner; Silvia Tremosini; Maria Reig; Ramón Vilana; Luis Bianchi; Carlos Rodríguez-Lope; Manel Solé; Carmen Ayuso; Jordi Bruix
Journal:  J Hepatol       Date:  2012-02-04       Impact factor: 25.083

2.  Prospective validation of an immunohistochemical panel (glypican 3, heat shock protein 70 and glutamine synthetase) in liver biopsies for diagnosis of very early hepatocellular carcinoma.

Authors:  Silvia Tremosini; Alejandro Forner; Loreto Boix; Ramon Vilana; Luis Bianchi; Maria Reig; Jordi Rimola; Carlos Rodríguez-Lope; Carmen Ayuso; Manel Solé; Jordi Bruix
Journal:  Gut       Date:  2012-01-27       Impact factor: 23.059

3.  Identification and differential expression of novel human cervical cancer oncogene HCCR-2 in human cancers and its involvement in p53 stabilization.

Authors:  Jesang Ko; Young Han Lee; Seung Yong Hwang; Youn Soo Lee; Seung Min Shin; Jae Hoon Hwang; Jin Kim; Yong Wook Kim; Sung-Wuk Jang; Zae Young Ryoo; In-Kyung Kim; Sung Eun Namkoong; Jin Woo Kim
Journal:  Oncogene       Date:  2003-07-24       Impact factor: 9.867

4.  The human cervical cancer oncogene protein is a biomarker for human hepatocellular carcinoma.

Authors:  Seung Kew Yoon; Nam Kyu Lim; Seon-Ah Ha; Yong Gyu Park; Jong Young Choi; Kyu Won Chung; Hee Sik Sun; Myung Ja Choi; Junho Chung; Jack R Wands; Jin Woo Kim
Journal:  Cancer Res       Date:  2004-08-01       Impact factor: 12.701

  4 in total
  1 in total

1.  Up-regulation of human cervical cancer proto-oncogene contributes to hepatitis B virus-induced malignant transformation of hepatocyte by down-regulating E-cadherin.

Authors:  Junfeng Li; Xiaopeng Dai; Hongfei Zhang; Wei Zhang; Shihui Sun; Tongtong Gao; Zhihua Kou; Hong Yu; Yan Guo; Lanying Du; Shibo Jiang; Jianying Zhang; Yusen Zhou
Journal:  Oncotarget       Date:  2015-10-06
  1 in total

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