Purpose Hepatocellular carcinoma (HCC) is a primary cancer of the liver that is predominantly the result of infection with a hepatotropic virus such as hepatitis B virus (HBV) or hepatitis C virus (HCV). As liver cancer is often asymptomatic, the development of sensitive non-invasive biomarkers is needed for early detection and improved survival. Experimental Design We have previously identified alterations in the N-linked glycosylation of serum proteins with the development of HCC and identified many of the proteins that contained the altered glycosylation. In the current study, we compared the ability of the identified proteins to diagnose HCC with the total serum glycan analysis. Results Surprisingly, glycan analysis of total serum had the greatest ability to distinguish HCC from cirrhosis with an AUROC of 0.851, a sensitivity of 73% at a specificity of 88%. When total glycan sequencing was combined with alpha-fetoprotein (AFP), the sensitivity increased to 95% at a specificity of 90%. Conclusion and clinical relevance Changes in glycosylation as detected in whole serum could be used to diagnose HCC with greater sensitivity and specificity than that observed through the analysis of specific protein glycoforms or protein levels. Such an assay could have value in the management of those at risk for the development of HCC.
Approximately 370 million people worldwide are chronically infected with hepatitis B virus (HBV). Despite the success of the prophylactic HBV vaccine, no therapeutic vaccine or other immunotherapy modality is available for treatment of chronically infected individuals. Clearance of HBV depends on robust, sustained CD8+ T activity; however, the limited numbers of therapeutic vaccines tested have not induced such a response. Most of these vaccines have relied on peptide prediction algorithms to identify MHC-I epitopes or characterization of T cell responses during acute infection. Here, we took an immunoproteomic approach to characterize MHC-I restricted epitopes from cells chronically infected with HBV and therefore more likely to represent the true targets of CD8+ T cells during chronic infection. In this study, we identified eight novel MHC-I restricted epitopes derived from a broad range of HBV proteins that were capable of activating CD8+ T cells. Furthermore, five of the eight epitopes were able to bind HLA-A2 and A24 alleles and activated HBV specific T cell responses. These epitopes also have potential as new tools to characterize T cell immunity in chronic HBV infection and may serve as candidate antigens for a therapeutic vaccine against HBV infection.
Immunotherapeutic vaccine is potentially an effective strategy to combat cancer. Essential components of an effective vaccine must include antigens that are processed by the major histocompatibility complex class I pathway, presented by the tumor major histocompatibility complex molecules, and an effective antigen delivery platform that is capable of breaking self-tolerance. In this study, we characterized a set of ovarian cancer-specific T-cell epitopes delivered by live-attenuated recombinant Listeria monocytogenes (Lm DeltaactADeltainlB) as a vaccine vector. We present data that peptide-specific T cells recognize the human monocytic cell line THP-1 infected with recombinant Lm DeltaactADeltainlB encoding the epitopes. Furthermore, we demonstrate that recombinant L. monocytogenes (Lm)-infected antigen-presenting cells can prime and expand epitope-specific CD8 T cells in vitro and such CD8 T cells recognize not only peptide-loaded targets but also ovarian and breast tumor cells presenting endogenous epitopes. Finally, peptide-specific T cells generated using peripheral blood mononuclear cell from ovarian cancer patients recognize target cells infected with recombinant Lm DeltaactADeltainlB encoding the epitopes. Our results demonstrate that live-attenuated recombinant Lm can be used effectively as a vehicle to deliver cancer peptide antigens singly or as a multiepitope construct. Thus, the use of recombinant live-attenuated Lm strains encoding endogenously processed and presented tumor epitopes/antigens represents an attractive strategy for active cancer immunotherapy in a clinical setting.
Purpose CA-125 has been a valuable marker for detecting ovarian cancer, however, not sensitive enough to detect early stage disease and not specific for ovarian cancer. The purpose of our study was to identify autoantibody markers that are specific for ovarian cancer regardless of CA-125 levels. Methods Top-down and iTRAQ quantitative proteomics methods were used to identify high frequency autoantibodies in ovarian cancer. Protein microarrays comprising the recombinant autoantigens were screened using serum samples from various stages of ovarian cancer with diverse levels of CA-125 as well as benign and healthy controls. ROC curve and dot blot analyses were performed to validate the sensitivity and specificity of the autoantibody markers. Results The proteomics methodologies identified >60 potential high frequency autoantibodies in ovarian cancer. Individual serum samples from ovarian cancer stages I-IV compared to control samples that were screened on a microarray containing native recombinant autoantigens revealed a panel of stage I high frequency autoantibodies. Preliminary ROC curve and dot blot analyses performed with the ovarian cancer samples showed higher specificity and sensitivity as compared to CA-125. Three autoantibody markers exhibited higher specificity in various stages of ovarian cancer with low and normal CA-125 levels. Conclusions Proteomics technologies are suitable for the identification of protein biomarkers and also the identification of autoantibody biomarkers when combined with protein microarray screening. Using native recombinant autoantigen arrays to screen autoantibody markers, it is possible to identify markers with higher sensitivity and specificity than CA-125 that are relevant for early detection of ovarian cancer.
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