Identification and characterization of monoclonal antibodies against GP73 for use as a potential biomarker in liver cancer screening and diagnosis

Anti-Golgi Antibody as a Potential Indicator for Rheumatoid Arthritis

OBJECTIVE

To reveal the relationship between anti-Golgi antibody (AGA) and clinical diseases through retrospective analysis.

METHODS

The clinical data of 584 cases testing positive for AGA in the past 11 years were collected and retrospectively analyzed.

RESULTS

AGA pattern accounted for .2% of positive ANA results. In total, 35.0% of diagnosed patients had autoimmune diseases (AID), mainly rheumatoid arthritis (RA). High-titer AGA (≧1:1000) was common in AID. In nondiagnosed patients with clinical symptoms, joint pain/muscle pain was the most common.

CONCLUSIONS

Positive AGA with high titer was closely related to RA. Joint pain/muscle pain was the most common symptom in patients who tested AGA positive. Therefore, AGA may be a key indicator of RA in the Chinese population.

Golgi membrane protein GP73 modified-liposome mediates the antitumor effect of survivin promoter-driven HSVtk in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common types of cancer worldwide, and there is currently no effective therapeutic strategy in clinical practice. Gene therapy has great potential for decreasing tumor-induced mortality but has been clinically limited because of the lack of tumor-specific targets and insufficient gene transfer. The study of targeted transport of therapeutic genes in HCC treatment seems to be very important. In this study, we evaluated a gene therapy approach targeting HCC using the herpes simplex virus thymidine kinase/ganciclovir (HSVtk/GCV) suicide gene system in HCC cell lines and in an in vivo human HCC xenograft mouse model. GP73-modified liposomes targeted gene delivery to the tumor tissue, and the survivin promoter drove HSVtk expression in the HCC cells. Our results showed that the survivin promoter was specifically activated in tumor cells and HSVtk was expressed selectively in tumor cells. Combined with GCV treatment, HSVtk expression resulted in suppression of HCC cell proliferation via enhancing apoptosis. Moreover, tail vein injection of GP73-HSVtk significantly suppressed the growth of xenograft tumors through an apoptosis-dependent pathway and extended the survival of tumor-bearing mice without damaging the mice liver functions. Taken together, this study demonstrates an effective cancer-specific gene therapy strategy using the herpes simplex virus thymidine kinase/ganciclovir (HSVtk/GCV) suicide gene system for HCC that can be further developed for future clinical trials.

Golgi protein 73 and its diagnostic value in liver diseases

Golgi protein 73 (GP73, also referred to as Golph 2) with 400 amino acids is a 73 kDa transmembrane glycoprotein typically found in the cis-Golg complex. It is primarily expressed in epithelial cells, which has been found upregulated in hepatocytes in patients suffering from both viral and non-viral liver diseases. GP73 has drawn increasing attention for its potential application in the diagnosis of liver diseases such as hepatitis, liver cirrhosis and liver cancer. Herein, we reviewed the discovery history of GP73 and summarized studies by many groups around the world, aiming at understanding its structure, expression, function, detection methods and the relationship between GP73 and liver diseases in various settings.

Discovery of a Potential Plasma Protein Biomarker Panel for Acute-on-Chronic Liver Failure Induced by Hepatitis B Virus

Hepatitis B virus (HBV)-associated acute-on-chronic liver failure (HBV-ACLF), characterized by an acute deterioration of liver function in the patients with chronic hepatitis B (CHB), is lack of predicting biomarkers for prognosis. Plasma is an ideal sample for biomarker discovery due to inexpensive and minimally invasive sampling and good reproducibility. In this study, immuno-depletion of high-abundance plasma proteins followed by iTRAQ-based quantitative proteomic approach was employed to analyze plasma samples from 20 healthy control people, 20 CHB patients and 20 HBV-ACLF patients, respectively. As a result, a total of 427 proteins were identified from these samples, and 42 proteins were differentially expressed in HBV-ACLF patients as compared to both CHB patients and healthy controls. According to bioinformatics analysis results, 6 proteins related to immune response (MMR), inflammatory response (OPN, HPX), blood coagulation (ATIII) and lipid metabolism (APO-CII, GP73) were selected as biomarker candidates. Further ELISA analysis confirmed the significant up-regulation of GP73, MMR, OPN and down-regulation of ATIII, HPX, APO-CII in HBV-ACLF plasma samples (p < 0.01). Moreover, receiver operating characteristic (ROC) curve analysis revealed high diagnostic value of these candidates in assessing HBV-ACLF. In conclusion, present quantitative proteomic study identified 6 novel HBV-ACLF biomarker candidates and might provide fundamental information for development of HBV-ACLF biomarker.

Combination of serum tumor markers dickkopf-1, DCP and AFP for the diagnosis of primary hepatocellular carcinoma

OBJECTIVE

To evaluate the detection accuracy of the biomarkers dickkopf-1, DCP and AFP as a serum biomarker panel by comparing the sensitivity of the panel with those of the individual biomarkers.

METHODS

The study was composed of three groups, one with HCC patients, one with non-HCC liver diseases and one with healthy controls. Serum AFP was measured using a chemiluminescence assay and serum dickkopf-1 and DCP were measured with ELISA. The sensitivity and specificity of the biomarkers were analyzed as single parameters and as a serum panel.

RESULTS

The HCC group showed higher levels of dickkopf-1, DCP and AFP than the other two groups (P < 0.05). Dickkopf-1 showed better sensitivity (73.26% vs. 58.13%, P < 0.05) and better specificity (44.0% vs. 29.0%, P < 0.05) than AFP. DCP also had better sensitivity (74.42% vs. 58.13%, P < 0.05) than AFP, but their specificity was similar (30.00% vs. 29.00%, P > 0.05). The combination of the biomarkers as a serum panel produced much better sensitivity (93.02%) and specificity (78.00%) than each of the markers individually (P < 0.05).

CONCLUSION

The combination of AFP, DCP and dickkopf-1 as a biomarker panel can significantly improve the detection power with much higher sensitivity and specificity for HCC than any of the biomarkers alone. The tests are convenient and inexpensive, and may serve as a valuable addition to current options for the diagnosis of HCC.