Hepatocellular tumors: immunohistochemical analyses for classification and prognostication

Role of Cell Block Technology as an Adjunct to Fine Needle Aspiration in Evaluating as well as Differentiating Liver Lesions

BACKGROUND & OBJECTIVE

Liver lesions are difficult to diagnose and to differentiate primary from metastatic carcinoma, while Biopsy has its limitations. Cell block technology is easily accessible with high diagnostic accuracy. Our aim is 1) To find the role of cell block technology as an alternative to biopsy in identifying liver lesions; 2) To find the efficacy of cell block along with immunohistochemistry (IHC) and ancillary studies in differentiating primary from metastatic lesions; 3) To identify the site of origin of metastatic lesions. This is a descriptive study undertaken in two tertiary care hospitals over a period of three years.

METHODS

Retrospective review of adequate samples from fine needle aspirations from liver lesions under radiological coverage, converted into cell block was done. IHC was applied as needed. Usefulness of cell block preparation was evaluated, and the final diagnosis correlated with the biopsy results.

RESULTS

Analysis of 323 cases found sensitivity of 98.75% and positive predictive value of 99% for all lesions. Sensitivity for metastatic carcinomas was slightly more than hepatocellular carcinoma. However, accuracy of cell block results for individual metastatic lesions and site of origin was less. IHC and morphological pattern worked as an important adjunct in the final diagnosis. On the other hand, contribution of viral markers as a supplement in the final work up was ambiguous.

CONCLUSION

High precision of validity results of cell block technology in comparison with biopsy highlights its pivotal role in conjunction with supportive tests for diagnosing and differentiating liver lesions as well as identifying primary sites in liver metastasis.

RESULTS OF IMMUNOHISTOCHEMISTRY IN THE DIFFERENTIAL DIAGNOSIS OF EARLY HEPATOCELLULAR CARCINOMA AND NODULES WITH HIGH-GRADE DYSPLASIA IN PATIENTS WITH CIRRHOSIS

BACKGROUND

Hepatocellular carcinoma (HCC) is the most frequent primary cancer of the liver and cirrhosis is considered a pre-malignant disease. In this context, the evolutionary sequence from low grade dysplastic nodule and high grade dysplastic nodule (HGDN) to early HCC and advanced HCC has been studied. The differential diagnosis between HGDN and early HCC is still a challenge, especially in needle biopsies.

OBJECTIVE

To evaluate an immunohistochemistry panel to differentiate dysplastic nodules and HCC.

METHODS

Patients with cirrhosis who underwent surgical resection or liver transplantation were included. The sensitivity, specificity and accuracy for the diagnosis of neoplasia were analyzed by evaluating five markers: heat shock protein 70, glypican 3, glutamine synthetase, clathrin heavy chain and beta-catenin. P≤0.05 was considered statistically significant.

RESULTS

One hundred and fifty-six nodules were included; of these, 57 were HCC, 14 HGDN, 18 low grade dysplastic nodules and 67 regenerative macronodules. Sensitivity of HCC diagnosis was 64.9% for glypican 3 and 77.2% for glutamine syntetase, while specificity was 96.0% and 96.0% respectively. When the panel of four markers was considered (excluding beta catenin), the specificity ranged from 87.9% for one positive marker to 100% for at least three markers. The best accuracy for HCC diagnosis was obtained with at least two positive markers, which was associated with a sensitivity of 82.5% and specificity of 99%.

CONCLUSION

Differential diagnosis of dysplastic nodules and HCC by morphological criteria can be challenging. Immunomarkers are useful and should be used for the differential diagnosis between HCC and HGDN.

Hepatic tumors: pitfall in diagnostic imaging

On computed tomography (CT) and magnetic resonance imaging (MRI), hepatocellular tumors are characterized based on typical imaging findings. However, hepatocellular adenoma, focal nodular hyperplasia, and hepatocellular carcinoma can show uncommon appearances at CT and MRI, which may lead to diagnostic challenges. When assessing focal hepatic lesions, radiologists need to be aware of these atypical imaging findings to avoid misdiagnoses that can alter the management plan. The purpose of this review is to illustrate a variety of pitfalls and atypical features of hepatocellular tumors that can lead to misinterpretations providing specific clues to the correct diagnoses. (www.actabiomedica.it)

Study on Diagnostic Values of Astrocyte Elevated Gene 1 (AEG-1) and Glypican 3 (GPC-3) in Hepatocellular Carcinoma

OBJECTIVES

To investigate the diagnostic potential of AEG-1 and GPC-3 in hepatocellular carcinoma (HCC).

METHODS

AEG-1 and GPC-3 immunohistochemistry were performed on HCC, adjacent nontumor tissue (ANT), and dysplastic nodules (DN).

RESULTS

H score of AEG-1 or GPC-3 in HCC was significantly higher than in ANT or DN. In HCC, 92% and 54% showed AEG-1 and GPC-3 positivity, respectively. In ANT, 16.2% were AEG-1 and 7.6% GPC-3 positive. AEG-1 staining was mostly diffuse, whereas GPC-3 frequently showed focal staining. AEG-1 alone showed high sensitivity but low specificity and accuracy. GPC-3, on the other hand, showed high specificity but low sensitivity and accuracy. Combination of both stains boosted the sensitivity, specificity, and accuracy to 94.6%, 89.5%, and 90.5%, respectively, when only diffuse staining was considered as positive.

CONCLUSIONS

AEG-1 or GPC-3 alone seemed not an ideal marker for HCC. The combination of AEG-1 and GPC-3 might improve early diagnosis of HCC.

Selecting patients with hepatocellular carcinoma for liver transplantation: incorporating tumor biology criteria

Liver transplantation (LT) is the optimal therapeutic option for patients with liver cirrhosis and hepatocellular carcinoma (HCC). Due to universal donor shortage, only the patients with limited tumor burden (under the so-called Milan criteria) are considered as potential candidates for LT in most institutions. It is expected that in the near future, more liver grafts will be available for patients with HCC due to the implementation of new direct antivirals against hepatitis C, leaving a prone scenario to consider expanding Milan criteria. A moderate expansion of Milan criteria could be implemented without increasing the risk of tumor recurrence if patients with favorable biological behavior are carefully selected. Incorporating information regarding tumor biology in the decision-making algorithm would result in a more rational use of LT in patients with HCC. In the present review, surrogate markers of tumor biology are critically evaluated as potential tools to be combined with existing radiological criteria. In addition, the current state of liquid biopsy is discussed, as this cutting-edge technology may reshape the management of HCC in the upcoming years.

Changing role of histopathology in the diagnosis and management of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common and fatal cancer in the world. HCC frequently presents with advanced disease, has a high recurrence rate and limited treatment options, which leads to very poor prognosis. This warrants urgent improvement in the diagnosis and treatment. Liver biopsy plays very important role in the diagnosis and prognosis of HCC, but with technical advancements and progression in the field of imaging, clinical guidelines have restricted the role of biopsy to very limited situations. Biopsy also has its own problems of needle tract seeding of tumor, small risk of complications, technical and sampling errors along with interpretative errors. Despite this, tissue analysis is often required because imaging is not always specific, limited expertise and lack of advanced imaging in many centers and limitations of imaging in the diagnosis of small, mixed and other variant forms of HCC. In addition, biopsy confirmation is often required for clinical trials of new drugs and targeted therapies. Tissue biomarkers along with certain morphological features, phenotypes and immune-phenotypes that serve as important prognostic and outcome predictors and as decisive factors for therapy decisions, add to the continuing role of histopathology. Advancements in cancer biology and development of molecular classification of HCC with clinic pathological correlation, lead to discovery of HCC phenotypic surrogates of prognostic and therapeutically significant molecular signatures. Thus tissue characteristics and morphology based correlates of molecular subtypes provide invaluable information for management and prognosis. This review thus focuses on the importance of histopathology and resurgence of role of biopsy in the diagnosis, management and prognostication of HCC.

miR-383 promotes cholangiocarcinoma cell proliferation, migration, and invasion through targeting IRF1

Interferon regulatory factor 1 (IRF1) has been found to serve as a tumor suppressor in cholangiocarcinoma, and enabled prediction of clinical progression and prognosis in our previous study. The objective of the current study is to screen and identify valuable microRNAs (miR), which target IRF1 to regulate cholangiocarcinoma cell proliferation, migration, and invasion. High expression of miR-383 was observed in cholangiocarcinoma tissues and cells. Meanwhile, we found the predicted binding site of miR-383 on the IRF1 3'-untranslated region (3'-UTR) according to the miR target database. The miR-383 expression was negatively related to IRF1 messeneger RNA (mRNA) and protein expression in cholangiocarcinoma tissue samples, and miR-383 negatively regulated IRF1 mRNA and protein expression in cholangiocarcinoma cells. Subsequently, we conducted a luciferase reporter assay to prove the predicted binding site miR-383 on IRF1 3'-UTR. Moreover, the results of the rescue study suggested that IRF1 was a functional target of miR-383 involved in regulating cholangiocarcinoma cell proliferation, migration, and invasion. Finally, we evaluated the clinical and prognostic significance of miR-383 in cholangiocarcinoma cases, and found that high expression of miR-383 was correlated with advanced tumor stage, large tumor size, present vascular invasion, and metastasis, and acted as an unfavorable independent prognostic factor. In conclusion, miR-383 serves as a tumor-suppressive miR to regulate cholangiocarcinoma cell proliferation, migration, and invasion via directly targeting IRF1.

Metabolic Inflammation-Associated IL-17A Causes Non-alcoholic Steatohepatitis and Hepatocellular Carcinoma

Obesity increases hepatocellular carcinoma (HCC) risks via unknown mediators. We report that hepatic unconventional prefoldin RPB5 interactor (URI) couples nutrient surpluses to inflammation and non-alcoholic steatohepatitis (NASH), a common cause of HCC. URI-induced DNA damage in hepatocytes triggers inflammation via T helper 17 (Th17) lymphocytes and interleukin 17A (IL-17A). This induces white adipose tissue neutrophil infiltration mediating insulin resistance (IR) and fatty acid release, stored in liver as triglycerides, causing NASH. NASH and subsequently HCC are prevented by pharmacological suppression of Th17 cell differentiation, IL-17A blocking antibodies, and genetic ablation of the IL-17A receptor in myeloid cells. Human hepatitis, fatty liver, and viral hepatitis-associated HCC exhibit increased IL-17A correlating positively with steatosis. IL-17A blockers may prevent IR, NASH, and HCC in high-risk patients.

Low expression of ARID1A correlates with poor prognosis in intrahepatic cholangiocarcinoma

AIM: To investigate the relationship between ARID1A expression and clinicopathologic parameters, as well as its prognostic value, for patients with intrahepatic cholangiocarcinoma (IHCC).

METHODS: We assessed ARID1A protein and mRNA expression in IHCC tissues and paracarcinomatous (PC) tissues from 57 patients with IHCC using western blot and quantitative real-time reverse transcription polymerase chain reaction, respectively. We used Fisher’s exact and χ² tests to analyze relationships between clinicopathological parameters and ARID1A expression. The Kaplan-Meier method and Cox regression were used to analyze survival.

RESULTS: The mean ARID1A protein level in IHCC tissues was 1.16 ± 0.36 relative units (RU), which was significantly lower than that in PC tissues (1.26 ± 0.21 RU, P < 0.01) and NL tissues (1.11 ± 0.31, P < 0.001). The mean ARID1A mRNA level in IHCC tissues (1.20 ± 0.18) was also lower than that in PC tissues (1.27 ± 0.15, P < 0.001) and normal liver tissues (1.15 ± 0.34, P < 0.001). Low ARID1A expression was significantly associated with tumor nodules, vein invasion, and recurrence. Median overall survival (OS) and disease-free survival (DFS) for the low ARID1A expression group was 15.0 and 7.0 mo, respectively, which were significantly shorter than those for the high ARID1A expression group at 25.0 and 22.0 mo (OS: P < 0.01; DFS: P < 0.001), respectively. Low ARID1A expression was significantly associated with worse OS (HR = 3.967, 95%CI: 1.299-12.118, P = 0.016) in multivariate analyses.

CONCLUSION: Low expression of ARID1A is associated with poor prognosis in patients with IHCC, and thus may be a potential prognostic biomarker candidate in IHCC.

Downregulation of KIF1B mRNA in hepatocellular carcinoma tissues correlates with poor prognosis

AIM: To compare kinesin family member 1B (KIF1B) expression with clinicopathologic parameters and prognosis in hepatocellular carcinoma (HCC) patients.

METHODS: KIF1B protein and mRNA expression was assessed in HCC and paracarcinomatous (PC) tissues from 68 patients with HCC using Western blot and quantitative real-time reverse transcription-PCR, respectively. Student’s t-tests were used to analyze relationships between clinicopathologic parameters and KIF1B expression, the Kaplan-Meier method was used to analyze survival outcomes, and the log-rank test was used to compare survival differences between groups.

RESULTS: Mean protein and mRNA levels of KIF1B were similar between HCC and PC tissues. However, HCC tissues with vein invasions had significantly lower KIF1B protein levels compared to those without vein invasions (2.30 ± 0.82 relative units vs 2.77 ± 0.84 relative units, P < 0.05). KIF1B protein levels in HCC tissues from patients with recurrence during the follow-up period were significantly lower than those without recurrence (2.31 ± 0.92 relative units vs 2.80 ± 0.80 relative units, P < 0.05). However, KIF1B protein and mRNA expression in HCC patients was not associated with other clinicopathologic parameters. Ratios of KIF1B mRNA expression in HCC tissues to those in PC tissues were correlated with overall survival (13.5 mo vs 20.0 mo, P < 0.05) and disease-free survival (11.5 mo vs 19.5 mo, P < 0.05).

CONCLUSION: Downregulation of KIF1B in HCC tissues is associated with poor prognosis; additional clinical studies are needed to confirm whether KIF1B can serve as a prognostic marker.

Comparison of hepatocellular carcinoma (HCC), cholangiocarcinoma (CC), and combined HCC-CC (CHC) with each other based on microarray dataset

Liver carcinomas have been classified into three types: hepatocellular carcinoma (HCC), cholangiocarcinoma (CC), and combined HCC-CC (CHC). We aim to find the common and different characteristic of these three types of liver cancer. The gene expression profiling of HCC, CC, and CHC were compared with each other, and enrichment pathways and processes in these three liver cancers were also identified. Using GSE15765 datasets downloaded from NCBI GEO database, the gene expression profiling of HCC, CC, and CHC were compared with each other (HCC compared with CC, HCC compared with CHC, and CC compared with HCC). Then, the differentially expressed genes (DEGs) were identified in these three groups respectively, and three PPI networks were constructed for DEGs in each group. Subsequently, the clusters in these networks were identified and further analyzed by ClusterONE and MCODE. Finally, gene set enrichment analysis enrichment analysis was performed to illustrate altered pathways and processes for each type of liver cancer. A total of 112, 530, and 64 DEGs were identified in three groups, respectively, and three PPI networks were constructed respectively for the corresponding group. Through the cluster analysis, we found some new differential marker genes for distinguishing the difference between these three types of liver cancer. We also indicated that we can distinguish HCC with CC through altered pathways and processes. Our findings develop new biomarkers for categorizing the primary liver cancer and may improve patient prognosis of these cancers. However, further validation is required since our results were based on microarray data derived from a small sample size.