Comparative analysis of the liver and plasma proteomes as a novel and powerful strategy for hepatocellular carcinoma biomarker discovery

Matrin-3 acts as a potential biomarker and promotes hepatocellular carcinoma progression by interacting with cell cycle-regulating genes

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality worldwide. The oncogenic role of Matrin-3 (MATR3), an a nuclear matrix protein, in HCC remains largely unknown. Here, we document the biological function of MATR3 in HCC based on integrated bioinformatics analysis and functional studies. According to the TCGA database, MATR3 expression was found to be positively correlated with clinicopathological characteristics in HCC. The receiver operating characteristic (ROC) curve and Kaplan-Meier (KM) curve displayed the diagnostic and prognostic potentials of MATR3 in HCC patients, respectively. Pathway enrichment analysis represented the enrichment of MATR3 in various molecular pathways, including the regulation of the cell cycle. Functional assays in HCC cell lines showed reduced proliferation of cells with stable silencing of MATR3. At the same time, the suppressive effects of MATR3 depletion on HCC development were verified by xenograft tumor experiments. Moreover, MATR3 repression also resulted in cell cycle arrest by modulating the expression of cell cycle-associated genes. In addition, the interaction of MATR3 with cell cycle-regulating factors in HCC cells was further corroborated with co-immunoprecipitation and mass spectrometry (Co-IP/MS). Furthermore, CIBERSORT and TIMER analyses showed an association between MATR3 and immune infiltration in HCC. In general, this study highlights the novel oncogenic function of MATR3 in HCC, which could comprehensively address how aberrant changes in the cell cycle promote HCC development. MATR3 might serve as a prognostic predictor and therapeutic target for HCC patients.

Charge-reversal nanocomolexes-based CRISPR/Cas9 delivery system for loss-of-function oncogene editing in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most lethal cancers worldwide. There are still challenges for HCC treatments, especially high resistance of the cancer cells to chemotherapy and/or target therapy. In this study, a responsive charge-reversal vehicle consists of negatively charged heparin core and positively charged ethanolamine (EA)-modified poly(glycidyl methacrylate) (PGEA) shell (named Hep@PGEA) with self-accelerating release for condensed nucleic acids was proposed to deliver the pCas9 plasmid encoding clustered regularly interspaced short palindromic repeats (CRISPR)-associated protein 9 (Cas9) and the sgRNA targeting oncogene survivin to treat HCC. The Hep@PGEA/pCas9 system showed high anti-tumor efficiency via inducing apoptosis and inhibiting proliferation, migration and invasion capability of HCC cells. The Hep@PGEA/pCas9 system was further utilized to treat orthotopic HCC in mice via tail vein injection. The system exhibited an evident accumulation in the liver of mice and achieved obvious anti-tumor effects. The Hep@PGEA/pCas9 system also showed marked improvement of HCC therapy with sorafenib and provided promising combination HCC treatment potentials. Moreover, enrichment of the Hep@PGEA-based delivery system in liver highlights its possibilities for treatments of other liver diseases.

The introduction of immunosuppressor (TDO inhibitor) significantly improved the efficacy of irinotecan in treating hepatocellular carcinoma

As TDO inhibitors can improve the efficacy of tumor chemotherapeutics, two TDO-targeted conjugates consisting of irinotecan (Ir) and a TDO inhibitor unit were designed and prepared to reverse tumor immune suppression, which could remarkably enhance antitumor activity of Ir by boosting cellular uptakes against TDO overexpressed HepG2 cancer cells. In vitro mechanistic studies demonstrated that compound PVIS-Ir and PVIG-Ir could arrest cell cycle at G2 phase and induce cell apoptosis by mitochondrial apoptotic pathway. Furthermore, compound PVIS-Ir could effectively inhibit TDO protein expression via releasing a TDO inhibitor derivative, which could also completely embed in TDO protein pocket. Further mechanism study indicated that PVIS-Ir could block kynurenine production and deactivate aryl hydrocarbon receptor (AHR), resulting in T-cell activation and proliferation. In vivo studies confirmed that PVIS-Ir could improve tumor immune microenvironment in a murine model. This combinational strategy of chemotherapy and immunotherapy can be a promising way in the treatment of hepatocellular carcinoma. Conjugates obtained by combining an immune checkpoint TDO inhibitor with irinotecan via different linkers could improve tumor immune microenvironment by inhibiting the TDO enzyme expression to block kynurenine production and induce HepG2 cancer cell apoptosis via DNA damage through releasing a TDO inhibitor and irinotecan in cancer cells.

Novel conjugates with dual suppression of glutathione S-transferases and tryptophan-2,3-dioxygenase activities for improving hepatocellular carcinoma therapy

Tryptophan-2,3-dioxygenase (TDO) is an immune checkpoint enzyme expressed in human tumors and involved in immune evasion and tumor tolerance. While glutathione S-transferases (GSTs) are pharmacological targets for several cancer. Here we demonstrated the utility of NBDHEX (GSTs inhibitor) and TDO inhibitor by the combinatorial linker design. Two novel conjugates with different linkers were prepared to reverse tumor immune suppression. The conjugates displayed significant antitumor activity against TDO and GSTs expression of HepG2 cancer cells. Further study indicated that compound 4 could induce higher apoptotic effect than its mother compounds via a mitochondrial-dependent pathway, simultaneously more effective to inhibit TDO and GSTs protein expression. Further study indicated that 4 could decrease the production of kynurenine and deactivate aryl hydrocarbon receptor (AHR), leading to CD3⁺T-cell activation and proliferation to involve in antitumor immune response.

Proteome-based identification of apolipoprotein A-IV as an early diagnostic biomarker in liver fibrosis

Hepatic fibrosis may ultimately result in organ failure and death, a reality compounded by the fact that most drugs for liver fibrosis appear to be effective only if given as a prophylactic or early treatment. In a dimethylnitrosamine-induced liver fibrotic model, aspartate aminotransferase/alanine aminotransferase levels could not precisely distinguish the differences between the initial stage of liver fibrosis and normal control, whereas histological examination indicated that dimethylnitrosamine treatment for two weeks has resulted in hepatic fibrogenesis. Comprehensive proteomics identified 12 proteins mainly associated with the interleukin 6-stimulated inflammatory pathway. Coordinately, cytokine profiles showed that dimethylnitrosamine administration would stimulate various signaling pathways leading to liver fibrosis. Of note, apolipoprotein A4 in serum samples obtained from patients in the early stage of liver fibrosis were significantly increased compared to the healthy controls (p<0.001) while the area under curve was 0.966. Moreover, increased apolipoprotein A4 significantly enhanced transforming growth factor beta 1-induced alpha smooth muscle actin expression. In this regard, overexpression of apolipoprotein A4 in early stage of liver fibrosis might magnify and imply the progression of hepatic fibrosis. These findings suggest that apolipoprotein A4 upregulation may correlate with hepatic fibrosis staging and that apolipoprotein A4 together with current biomarker can increase the sensitivity and specificity for the early detection of liver fibrosis in a high-throughput manner.

Multifocal hepatocellular carcinoma: intrahepatic metastasis or multicentric carcinogenesis?

Multifocal Hepatocellular carcinoma (HCC) may be multiple HCCs of multicentric origin (MO) or intrahepatic metastases (IM) arising from a primary HCC. Numerous attempts to differentiate the two types of multifocal HCC have been made including the valuation of the clinicopathologic characteristics of MO and IM patients and the recurrence time, loss-of-heterozygosity analysis of specific DNA microsatellite loci to distinguish multiclonal MO from IM of monoclonal origin, and the research of diagnostic and progression markers through genomic and proteomic analyses. These approaches, however, have been unsatisfactory hitherto. Recently, a multi-omic analysis of HBV-related multifocal HCCs, including intergraded genomics and transcriptomics, was performed and the results, validated by a cohort of 174 HCC patients, were correlated with HCC clinicopathological data. The two multifocal HCC types were effectively discerned by multi-omics profiling that could predict HCC clonality and aggressiveness. Further, the dual-specificity protein kinase TTK was recognized as a prognostic marker for HCC. Multi-omics strategy potentially opens new perspectives for the diagnosis, prognosis and personalized treatment of multi-focal HCC. Further work aimed at extending this strategy to HCC with other etiology, simplifying the analysis, and reducing its costs is necessary for its routine clinical application.

The application of aptamers in cancer research: an up-to-date review

Aptamers are nucleic acid ligands that are generated by molecular evolution to bind with high affinities and specificities to a large variety of targets, which make them attractive tools to be applied in cancer research. In this review, we highlight the recent progress in aptamer-based applications in cancer molecular research such as cancer targeting, biomarker discovery and therapeutics. Aptamers generated from cell-systematic evolution of ligands by exponential enrichment especially contribute to the discovery of novel membrane proteins as cancer biomarkers. Aptamer-nanoparticle conjugation could achieve higher affinity for cancer detection. Aptamer-conjugated nanocarriers deliver drugs to cancer cells with increased specificity and efficacy, as well as reduced toxicity.

Subcellular tissue proteomics of hepatocellular carcinoma for molecular signature discovery

Hepatocellular carcinoma (HCC) is one of the leading causes of mortality from solid organ malignancy worldwide. Because of the complexity of proteins within liver cells and tissues, the discovery of therapeutic targets of HCC has been difficult. To investigate strategies for decreasing the complexity of tissue samples for detecting meaningful protein mediators of HCC, we employed subcellular fractionation combined with 1D-gel electrophoresis and liquid chromatography-tandem mass spectrometry analysis. Moreover, we utilized a statistical method, namely, the Power Law Global Error Model (PLGEM), to distinguish differentially expressed proteins in a duplicate proteomic data set. Mass spectrometric analysis identified 3045 proteins in nontumor and HCC from cytosolic, membrane, nuclear, and cytoskeletal fractions. The final lists of highly differentiated proteins from the targeted fractions were searched for potentially translocated proteins in HCC from soluble compartments to the nuclear or cytoskeletal compartments. This analysis refined our targets of interest to include 21 potential targets of HCC from these fractions. Furthermore, we validated the potential molecular targets of HCC, MATR3, LETM1, ILF2, and IQGAP2 by Western blotting, immunohistochemisty, and immunofluorescent microscopy. Here we demonstrate an efficient strategy of subcellular tissue proteomics toward molecular target discovery of one of the most complicated human disease, HCC.

Mass spectrometry of peptides and proteins from human blood

It is difficult to convey the accelerating rate and growing importance of mass spectrometry applications to human blood proteins and peptides. Mass spectrometry can rapidly detect and identify the ionizable peptides from the proteins in a simple mixture and reveal many of their post-translational modifications. However, blood is a complex mixture that may contain many proteins first expressed in cells and tissues. The complete analysis of blood proteins is a daunting task that will rely on a wide range of disciplines from physics, chemistry, biochemistry, genetics, electromagnetic instrumentation, mathematics and computation. Therefore the comprehensive discovery and analysis of blood proteins will rank among the great technical challenges and require the cumulative sum of many of mankind's scientific achievements together. A variety of methods have been used to fractionate, analyze and identify proteins from blood, each yielding a small piece of the whole and throwing the great size of the task into sharp relief. The approaches attempted to date clearly indicate that enumerating the proteins and peptides of blood can be accomplished. There is no doubt that the mass spectrometry of blood will be crucial to the discovery and analysis of proteins, enzyme activities, and post-translational processes that underlay the mechanisms of disease. At present both discovery and quantification of proteins from blood are commonly reaching sensitivities of ∼1 ng/mL.

Progress in mining the human proteome for disease applications

Currently available technologies allow in-depth analysis of multiple facets of the proteome that have clinical relevance and that complement current genomics-based approaches. Although some progress has been made in our knowledge of the human proteome in health and in disease, there is an urgent need to chart a coherent road map with clearly defined milestones to guide proteomics efforts. Areas of emphasis include: (1) building resources, (2) filling gaps in our understanding of biological variation, and (3) systematically characterizing proteome alterations that occur in well-defined disease states, all of which require an organized and collaborative effort.

Plasma biomarker screening for liver fibrosis with the N-terminal isotope tagging strategy

A non-invasive diagnostic approach is crucial for the evaluation of severity of liver disease, treatment decisions, and assessing drug efficacy. This study evaluated plasma proteomic profiling via an N-terminal isotope tagging strategy coupled with liquid chromatography/Fourier transform ion cyclotron resonance mass spectrometry measurement to detect liver fibrosis staging. Pooled plasma from different liver fibrosis stages, which were assessed in advance by the current gold-standard of liver biopsy, was quantitatively analyzed. A total of 72 plasma proteins were found to be dysregulated during the fibrogenesis process, and this finding constituted a valuable candidate plasma biomarker bank for follow-up analysis. Validation results of fibronectin by Western blotting reconfirmed the mass-based data. Ingenuity Pathways Analysis showed four types of metabolic networks for the functional effect of liver fibrosis disease in chronic hepatitis B patients. Consequently, quantitative proteomics via the N-terminal acetyl isotope labeling technique provides an effective and useful tool for screening plasma candidate biomarkers for liver fibrosis. We quantitatively monitored the fibrogenesis process in CHB patients. We discovered many new valuable candidate biomarkers for the diagnosis of liver fibrosis and also partly identified the mechanism involved in liver fibrosis disease. These results provide a clearer understanding of liver fibrosis pathophysiology and will also hopefully lead to improvement of clinical diagnosis and treatment.

Discovery of mouse spleen signaling responses to anthrax using label-free quantitative phosphoproteomics via mass spectrometry

Inhalational anthrax is caused by spores of the bacterium Bacillus anthracis (B. anthracis), and is an extremely dangerous disease that can kill unvaccinated victims within 2 weeks. Modern antibiotic-based therapy can increase the survival rate to ∼50%, but only if administered presymptomatically (within 24-48 h of exposure). To discover host signaling responses to presymptomatic anthrax, label-free quantitative phosphoproteomics via liquid chromatography coupled to mass spectrometry was used to compare spleens from uninfected and spore-challenged mice over a 72 h time-course. Spleen proteins were denatured using urea, reduced using dithiothreitol, alkylated using iodoacetamide, and digested into peptides using trypsin, and the resulting phosphopeptides were enriched using titanium dioxide solid-phase extraction and analyzed by nano-liquid chromatography-Linear Trap Quadrupole-Orbitrap-MS(/MS). The fragment ion spectra were processed using DeconMSn and searched using both Mascot and SEQUEST resulting in 252,626 confident identifications of 6248 phosphopeptides (corresponding to 5782 phosphorylation sites). The precursor ion spectra were deisotoped using Decon2LS and aligned using MultiAlign resulting in the confident quantitation of 3265 of the identified phosphopeptides. ANOVAs were used to produce a q-value ranked list of host signaling responses. Late-stage (48-72 h postchallenge) Sterne strain (lethal) infections resulted in global alterations to the spleen phosphoproteome. In contrast, ΔSterne strain (asymptomatic; missing the anthrax toxin) infections resulted in 188 (5.8%) significantly altered (q<0.05) phosphopeptides. Twenty-six highly tentative phosphorylation responses to early-stage (24 h postchallenge) anthrax were discovered (q<0.5), and ten of these originated from eight proteins that have known roles in the host immune response. These tentative early-anthrax host response signaling events within mouse spleens may translate into presymptomatic diagnostic biomarkers of human anthrax detectable within circulating immune cells, and could aid in the identification of pathogenic mechanisms and therapeutic targets.

Can proteomics lead to the discovery of real biomarkers for HCC?

The development of proteomics technologies has lead to a great deal of effort being focused on the identification of biomarkers for cancers. Although many papers have reported candidate biomarkers for hepatocellular carcinomas (HCCs) in particular, so far none of these candidate biomarkers have been used either for diagnosis or therapy intreating patients. The question remains: Can proteomics identify real biomarkers for HCCs?