Des-gamma-carboxy prothrombin identified by P-11 and P-16 antibodies reflects prognosis for patients with hepatocellular carcinoma

Immunodiagnostic Biomarkers for Hepatocellular Carcinoma (HCC): The First Step in Detection and Treatment

Hepatocellular carcinoma (HCC) exerts huge effects on the health burden of the world because of its high mortality and poor prognosis. HCC is often clinically detected late in patients. If HCC could be detected and treated earlier, the survival rate of patients will be greatly improved. Therefore, identifying specific biomarkers is urgent and important for HCC. The liver is also recognized as an immune organ. The occurrence of HCC is related to exacerbation of immune tolerance and/or immunosurveillance escape. The host immune system plays an important role in the recognition and targeting of tumor cells in cancer immunotherapy, as can be seen from the clinical success of immune checkpoint inhibitors and chimeric antigen receptor (CAR) T cells. Thus, there is a pressing medical need to discover immunodiagnostic biomarkers specific to HCC for understanding the pathological mechanisms of HCC, especially for immunotherapy targets. We have reviewed the existing literature to summarize the immunodiagnostic markers of HCC, including autoantibodies against tumor-associated antigens (TAAs) and exosomes, to provide new insights into HCC and early detection of this deadly cancer.

Proteomic Profiling and Artificial Intelligence for Hepatocellular Carcinoma Translational Medicine

Hepatocellular carcinoma (HCC) is the most common primary cancer of the liver with high morbidity and mortality rates worldwide. Since 1963, when alpha-fetoprotein (AFP) was discovered as a first HCC serum biomarker, several other protein biomarkers have been identified and introduced into clinical practice. However, insufficient specificity and sensitivity of these biomarkers dictate the necessity of novel biomarker discovery. Remarkable advancements in integrated multiomics technologies for the identification of gene expression and protein or metabolite distribution patterns can facilitate rising to this challenge. Current multiomics technologies lead to the accumulation of a huge amount of data, which requires clustering and finding correlations between various datasets and developing predictive models for data filtering, pre-processing, and reducing dimensionality. Artificial intelligence (AI) technologies have an enormous potential to overcome accelerated data growth, complexity, and heterogeneity within and across data sources. Our review focuses on the recent progress in integrative proteomic profiling strategies and their usage in combination with machine learning and deep learning technologies for the discovery of novel biomarker candidates for HCC early diagnosis and prognosis. We discuss conventional and promising proteomic biomarkers of HCC such as AFP, lens culinaris agglutinin (LCA)-reactive L3 glycoform of AFP (AFP-L3), des-gamma-carboxyprothrombin (DCP), osteopontin (OPN), glypican-3 (GPC3), dickkopf-1 (DKK1), midkine (MDK), and squamous cell carcinoma antigen (SCCA) and highlight their functional significance including the involvement in cell signaling such as Wnt/β-catenin, PI3K/Akt, integrin αvβ3/NF-κB/HIF-1α, JAK/STAT3 and MAPK/ERK-mediated pathways dysregulated in HCC. We show that currently available computational platforms for big data analysis and AI technologies can both enhance proteomic profiling and improve imaging techniques to enhance the translational application of proteomics data into precision medicine.

Next-generation des-r-carboxy prothrombin for immunohistochemical assessment of vascular invasion by hepatocellular carcinoma

Background

We have previously shown the value of next-generation des-r-carboxy prothrombin (NX-DCP) for predicting vascular invasion in hepatocellular carcinoma (HCC). Since conventional DCP is inaccurate under some conditions, this study aimed to assess whether NX-DCP immunohistochemical staining was related to vascular invasion in HCC.

Methods

Fifty-six patients scheduled to undergo resection for single HCC were divided into two groups, with and without pathological portal vein invasion. Immunohistochemical features of HCC and sites of vascular invasion were assessed using alpha-fetoprotein (AFP), conventional DCP, and NX-DCP.

Results

Pathological portal vein invasion was absent in 43 patients and present in 13 patients. Patient characteristics, pathological background of the liver parenchyma, and tumor-related factors did not differ significantly between the groups. There was no significant difference in the serum AFP level between the groups, whereas levels of conventional DCP (p < 0.0001) and NX-DCP (p < 0.0001) were significantly higher in the vascular invasion group. Immunohistochemical staining showed no significant difference in the staining rate of tumor (67.9% vs. 80.7%, p = 0.08), but NX-DCP stained significantly more at the sites of vascular invasion (15.4% vs. 46.2%, p = 0.01) than conventional DCP. No vascular invasion was stained by AFP.

Conclusions

NX-DCP offers better sensitivity for detecting sites of vascular invasion than AFP and conventional DCP.

Prediction of vascular invasion in hepatocellular carcinoma by next-generation des-r-carboxy prothrombin

BACKGROUND

In hepatocellular carcinoma (HCC), des-r-carboxy prothrombin (DCP) more accurately reflects the malignant potential than alpha-fetoprotein (AFP). Next-generation DCP (NX-DCP) was created to overcome some of the limitations of conventional DCP. This study assessed the predictive value of NX-DCP for vascular invasion in HCC.

METHODS

We prospectively studied 82 consecutive patients who were scheduled to undergo resection for HCC. Patients were divided into two groups according to the presence or absence of pathological vascular invasion. The predictive powers of AFP, conventional DCP, and NX-DCP for vascular invasion were compared by receiver operating characteristic curve analysis, and correlations with tumour markers and the presence of vascular invasion were assessed.

RESULTS

Vascular invasion was pathologically confirmed in 21 patients (positive group) and absent in 61 patients (negative group). The NX-DCP level was significantly higher in the positive group than in the negative group (510.0 mAU ml(-1) (10-98 450) vs 34.0 mAU ml(-1) (12-541), P<0.0001), while the AFP level did not differ significantly between the groups (9.7 ng ml(-1) (1.6-43 960.0) vs 11.0 ng ml(-1) (1.6-1650.0), P=0.49). The area under the curve (AUC) of NX-DCP (AUC=0.813, sensitivity=71.4%, 1-specificity=13.1%) had good sensitivity for the prediction of vascular invasion, while the AUC of AFP was 0.550 (sensitivity=28.6%, 1-specificity=1.60%). The suitable cutoff value for identifying pathological vascular invasion in HCC was 33 mm (AUC: 0.783, sensitivity=71.43%, 1-specificity=11.48%).

CONCLUSIONS

The NX-DCP level can be used to predict the presence of vascular invasion in HCC.

Des-γ-carboxyprothrombin (DCP) and NX-DCP expressions and their relationship with clinicopathological features in hepatocellular carcinoma

Aim

Des-γ-carboxyprothrombin (DCP) has been used as a tumor marker for hepatocellular carcinoma (HCC). Recently the DCP/NX-DCP ratio, calculated by dividing DCP by NX-DCP, has been reported useful in detecting HCC. The purpose of this study is to clarify the significance of DCP and NX-DCP expression in HCC tissues.

Methods

HCC and non-HCC tissue samples were obtained from 157 patients and were immunohistochemically examined for DCP and NX-DCP expression using anti-DCP antibody and anti-NX-DCP antibody. DCP and NX-DCP expression scores were calculated by multiplying staining intensity grade by percentage of stained area. Serum DCP and NX-DCP levels were determined in 89 patients. We evaluated the relationship between tumor expression, serum level, and pathomorphological findings.

Results

Intrahepatic metastasis (im) was significantly more frequent in cases with high DCP expression than in cases with low DCP expression. High NX-DCP expression was associated with significantly lower histological grade, and less frequent im or portal vein invasion (vp) than low NX-DCP expression. Serum DCP was correlated with DCP expression, but serum NX-DCP was not correlated with NX-DCP expression. DCP-positive (≥40 mAU/L), NX-DCP-positive (≥90 mAU/L), and DCP/NX-DCP ratio-positive (≥1.5) cases were associated with significantly larger tumor size and more frequent vp than negative cases. DCP was rarely expressed, but NX-DCP was frequently expressed in non-cancerous liver tissues. Patients with NX-DCP expression-negative tumors showed a lower survival rate than those with NX-DCP expression-positive tumors (p = 0.04), whereas the survival in serum NX-DCP-positive cases was lower than that of serum negative cases (p = 0.02).

Conclusions

DCP and NX-DCP were produced in HCC tissues, but differed in expression level and biological properties. DCP expression, serum DCP or NX-DCP level, and DCP/NX-DCP ratio were closely related to malignant properties of HCC.

Diagnostic accuracy of des-gamma-carboxy prothrombin versus α-fetoprotein for hepatocellular carcinoma: A systematic review

AIMS

Des-gamma-carboxy prothrombin (DCP) and α-fetoprotein (AFP) are useful tumor markers for the detection of hepatocellular carcinoma (HCC). However, it remains controversial whether the diagnostic accuracy of DCP is superior to AFP. The aims of this review were to compare the diagnostic accuracy of DCP, AFP and combination of both markers for detecting HCC and further compare their accuracy in diagnosing early stage HCC.

METHODS

We conducted a comprehensive literature search of MEDLINE, EMBASE and Cochrane library until April 2013. Two authors independently assessed the methodological quality of each included study. Summary estimates of sensitivity, specificity and area under the receiver operating curve (AUROC) were calculated.

RESULTS

Forty-nine studies involving 14 118 participants (including 1544 with early stage HCC) were included. In case of detection of HCC, the summary estimates of DCP were: sensitivity 63% (95% confidence interval [CI], 58%-67%), specificity 91% (95% CI, 88%-93%), and the values of AFP were: sensitivity 59% (95% CI, 54%-63%), specificity 86% (95% CI, 82%-89%). The AUROC of DCP, AFP and combination of both markers were 0.83, 0.77 and 0.88, respectively. Among the early stage HCC, the summary estimates of DCP and AFP were: sensitivity 45% (95% CI, 35%-57%) versus 48% (95% CI, 39%-57%), and specificity 95% (95% CI, 91%-97%) versus 89% (95% CI, 79%-95%). The AUROC was 0.84 for DCP, 0.68 for AFP and 0.83 for the combination of both markers.

CONCLUSION

Des-gamma-carboxy prothrombin shows more diagnostic accuracy than AFP, especially in diagnosing early stage HCC, and the combination of both markers cannot improve the diagnostic accuracy of early stage HCC.

Prognostic role of pre-treatment serum AFP-L3% in hepatocellular carcinoma: systematic review and meta-analysis

Background

Serum lens culinaris agglutinin-reactive fraction of α-fetoprotein (AFP-L3%) has been widely used for HCC diagnosis and follow-up surveillance as tumor serologic marker. However, the prognostic value of high pre-treatment serum AFP-L3% in patients with hepatocellular carcinoma (HCC) remains controversial. We therefore conduct a meta-analysis to assess the relationship between high pre-treatment serum AFP-L3% and clinical outcome of HCC.

Methods

Eligible studies were identified through systematic literature searches. A meta-analysis of fifteen studies (4,465 patients) was carried out to evaluate the association between high pre-treatment serum AFP-L3% and overall survival (OS) and disease-free survival (DFS) in HCC patients. Sensitivity and subgroup analyses were also conducted in this meta-analysis.

Results

Our analysis results showed that high pre-treatment serum AFP-L3% implied poor OS (HR: 1.65, 95%CI: 1.45–1.89 p<0.00001) and DFS (HR: 1.80, 95% CI: 1.49–2.17 p<0.00001) of HCC. Subgroup analysis revealed that there was association between pre-treatment serum AFP-L3% and endpoint (OS and DFS) in low AFP concentration HCC patients (HR: 1.96, 95% CI: 1.24–3.10, p = 0.004; HR: 2.53, 95% CI: 1.09–5.89, p = 0.03, respectively).

Conclusion

The current evidence suggests that high pre-treatment serum AFP-L3% levels indicated a poor prognosis for patients with HCC and AFP-L3% may have significant prognostic value in HCC patients with low AFP concentration.

Diagnostic value of immunohistochemical staining of GP73, GPC3, DCP, CD34, CD31, and reticulin staining in hepatocellular carcinoma

It has been reported that Golgi protein-73 (GP73), glypican-3 (GPC3), and des-γ-carboxy prothrombin (DCP) could serve as serum markers for the early detection of hepatocellular carcinoma (HCC). This study aimed to evaluate a panel of immunostaining markers (including GP73, GPC3, DCP, CD34, and CD31) as well as reticulin staining to distinguish HCC from the mimickers. Our results revealed that CD34 immunostaining and reticulin staining were highly sensitive for the diagnosis of HCC. A special immunoreaction pattern of GP73--a diffuse coarse-block pattern in a perinuclear region or a concentrated cluster-like or cord-like pattern in a certain part of the cytoplasm--was observed in HCC cells, in contrast to the cytoplasmic fine-granular pattern in surrounding non-tumor cells and non-malignant nodules. This coarse-block pattern correlated significantly with less differentiated HCC. In comparison, GPC3 displayed a good advantage in diagnosing well-differentiated HCC. In our study, DCP and CD31 showed little diagnostic value for HCC as an immunostaining marker. When GP73, GPC3, and CD34 were combined, the specificity improved to 96.6%. Our findings demonstrate for the first time that the immunohistochemical panel of GP73, GPC3, and CD34 as well as reticulin staining is highly specific for the pathological diagnosis of HCC.