Proteomic profiling of differential display analysis for human oral squamous cell carcinoma: 14-3-3 σ Protein is upregulated in human oral squamous cell carcinoma and dependent on the differentiation level

14-3-3ζ silencing retards tongue squamous cell carcinoma progression by inhibiting cell survival and migration

Our study aimed to investigate the isoform-specific distribution of 14-3-3 in tongue squamous cell carcinoma (TSCC) and their association with cancer progression, and to further discuss their roles in cancer cell survival. In this study, 42 TSCC specimens and their matched normal para-carcinoma sections were collected. The immunohistochemistry analysis identified that 14-3-3σ and ζ isoforms presented significantly higher expression in cancerous tissues compared with the matched normal tongue tissue sections. 14-3-3ζ expression was associated with tumor T stage, lymph node metastasis and poor prognosis of TSCC. In vitro study revealed that 14-3-3ζ silencing alleviated the proliferation and migration of TSCC cells while promoted cancer cell apoptosis. 14-3-3ζ could bind to and inactivate FOXO3a transcription factor, in turn leading to the movement of the 14-3-3ζ-FOXO3a complex from nucleus to cytoplasm, which was inhibited after 14-3-3ζ silencing. Both 14-3-3ζ and FOXO3a silencing increased caspase 3 and 9 activation, while reduced inner mitochondrial membrane potential. Collectively, 14-3-3ζ may serve as a hallmark and prognostic marker of TSCC. 14-3-3ζ can bind to the FOXO3a transcription factor to promote the export of the complex to the cytoplasm, leading to enhanced proliferation and migration of tongue cancer cells.

Proteomic profile of keratins in cancer of the gingivo buccal complex: consolidating insights for clinical applications

Keratins play a major role in several cellular functions. Each tissue type expresses a specific set of keratins. The immense potential of keratins as diagnostic and prognostic markers for different cancers is emerging. Oral cancer is the fifteenth most common cancer worldwide. However, comprehensive information on the profile of keratins in the oral cavity is not available. Several independent reports have identified keratins using antibody based techniques which have pitfalls due to the cross reactivity of the antibodies to this set of very homologous proteins. A few recent proteomic studies have reported the identification of keratins in head and neck cancer. Majority of the studies have used tissues from the head and neck region without specifying subsites. This study reports the analysis of enriched preparations of keratins from cancer of the gingivo buccal complex (GBC) using MS, 2DE, WB, silver staining of 2DE gels and IHC. Our study reveals the absence of K4 and K13 and presence of K14, K16, and K17, in cancers of the GBC and combination of these expression patterns in the cut margins. This report also shows that K13 is glycosylated. This well characterized profile of keratins may have potential to be used in clinics.

BIOLOGICAL SIGNIFICANCE

In recent years the immense potential of keratins as diagnostic and prognostic markers for different cancers is emerging. However, comprehensive information on the profile of keratins in the oral cavity is not available. Several independent reports have identified keratins using only antibody based techniques which have pitfalls due to the cross reactivity of the antibodies to this set of very homologous proteins. This study reports the analysis of enriched preparations of keratins from a subsite of the oral cavity, the gingivo buccal complex (GBC) using mass spectrometry, 2DE, western blotting, silver staining of 2DE gels and IHC. The proteomic analysis shows the absence of K4 and K13 and presence of K14, K16, and K17 in cancers of the GBC and combination of these expression patterns in the cut margins. This well characterized profile of keratins from the gingivo buccal complex provides defined markers which may have potential to be used in the clinics.

A comparative proteomic study identified calreticulin and prohibitin up-regulated in adrenocortical carcinomas

Background

Identifying novel tumor biomarkers to develop more effective diagnostic and therapeutic strategies for patients with ACC is urgently needed. The aim of the study was to compare the proteomic profiles between adrenocortical carcinomas (ACC) and normal adrenocortical tissues in order to identify novel potential biomarkers for ACC.

Methods

The protein samples from 12 ACC tissues and their paired adjacent normal adrenocortical tissues were profiled with two-dimensional electrophoresis; and differentially expressed proteins were identified by mass spectrometry. Expression patterns of three differently expressed proteins calreticulin, prohibitin and HSP60 in ACC, adrenocortical adenomas (ACA) and normal adrenocortical tissues were further validated by immunohistochemistry.

Results

In our proteomic study, we identified 20 up-regulated and 9 down-regulated proteins in ACC tissues compared with paired normal controls. Most of the up-regulated proteins were focused in protein binding and oxidoreductase activity in Gene Ontology (GO) molecular function classification. By immunohistochemistry, two biomarkers calreticulin and prohibitin were validated to be overexpressed in ACC compared with adrenocortical adenomas (ACA) and normal tissues, but also calreticulin overexpression was significantly associated with tumor stages of ACC.

Conclusion

For the first time, calreticulin and prohibitin were identified to be novel candidate biomarkers for ACC, and their roles during ACC carcinogenesis and clinical significance deserves further investigation.

Virtual slides

The virtual slides for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1897372598927465

Comparison of diverse affinity based high-abundance protein depletion strategies for improved bio-marker discovery in oral fluids

Oral fluids (OF) have been suggested as a source of biomarkers for oral and systemic health, but as with other bio-fluids, the presence of high-abundance proteins interferes with the detection of lower-abundance biomarkers. Here, we compared the performance of four depletion treatments: triple depletion (TD) of amylases, albumins and immunoglobulin G; multiple depletion (MD) of amylases and a panel of 20 proteins, a combination of the two (EMD) and combinatorial peptide ligand library based depletion termed CPLL. TD, MD, EMD and CPLL removed 76%, 83%, 85% and 94% of total proteins, respectively, coupled with increased low abundance protein detection and narrowed dynamic range. 2-DE revealed that all depletion pretreatments successfully clarified areas hampered by high-abundance proteins; however, EMD and CPLL exposed the highest number of proteins. Quantitative MS of EMD samples relative to none treated samples indicated that most of downregulated proteins (>90%) were EMD target proteins. In conclusion, a multiple step EMD and CPLL depletion approaches bring about the highest number of protein detection ability and the best hampered-area clearance. As CPLL requires at least 10 fold more protein starting material, we suggest EMD pretreatment as a new detection tool in instances of low protein starting material.

Mitochondrial proteomic approaches for new potential diagnostic and prognostic biomarkers in cancer

Mitochondrial dysfunction and mutations in mitochondrial DNA have been implicated in a wide variety of human diseases, including cancer. In recent years, considerable advances in genomic, proteomic and bioinformatic technologies have made it possible the analysis of mitochondrial proteome, leading to the identification of over 1,000 proteins which have been assigned unambiguously to mitochondria. Defining the mitochondrial proteome is a fundamental step for fully understanding the organelle functions as well as mechanisms underlying mitochondrial pathology. In fact, besides giving information on mitochondrial physiology, by characterizing all the components of this subcellular organelle, the application of proteomic technologies permitted now to study the proteins involved in many crucial properties in cell signaling, cell differentiation and cell death and, in particular, to identify mitochondrial proteins that are aberrantly expressed in cancer cells. An improved understanding of the mitochondrial proteome could be essential to shed light on the connection between mitochondrial dysfunction, deregulation of apoptosis and tumorigenesis and to discovery new therapeutic targets for mitochondria-related diseases.

Increased expression of 14-3-3β promotes tumor progression and predicts extrahepatic metastasis and worse survival in hepatocellular carcinoma

14-3-3β is implicated in cell survival, proliferation, migration, and tumor growth; however, its clinical relevance in tumor progression and metastasis have never been elucidated. To evaluate the clinical significance of 14-3-3β, we analyzed the association of 14-3-3β expression and clinicopathologic characteristics in primary and subsequent metastatic tumors of hepatocellular carcinoma patients. 14-3-3β was expressed abundantly in 40 of 55 (70.7%) primary tumors. Increased 14-3-3β expression in primary tumors predicted a higher 5-year cumulative incidence of subsequent extrahepatic metastasis, and multivariate analysis revealed 14-3-3β overexpression was an independent risk factor for extrahepatic metastasis. Patients with increased 14-3-3β expression in primary tumors had worse 5-year overall survival rates, and 14-3-3β overexpression was an independent prognostic factor on Cox regression analysis. Furthermore, stably overexpressed 14-3-3β enhanced hepatocellular carcinoma cell migration and proliferation and increased anchorage-independent cell growth. In addition, in vivo study in a nude-mice model showed tumor formation significantly increased with 14-3-3β overexpression. In conclusion, this is the first report to show that increased 14-3-3β expression is associated with subsequent extrahepatic metastasis and worse survival rates, as well as cancer progression of hepatocellular carcinoma. Thus, 14-3-3β may be a novel prognostic biomarker and therapeutic target in hepatocellular carcinoma.