Serum S100A6 concentration predicts peritoneal tumor burden in mice with epithelial ovarian cancer and is associated with advanced stage in patients.

BACKGROUND: Ovarian cancer is the 5th leading cause of cancer related deaths in women. Five-year survival rates for early stage disease are greater than 94%, however most women are diagnosed in advanced stage with 5 year survival less than 28%. Improved means for early detection and reliable patient monitoring are needed to increase survival. METHODOLOGY AND PRINCIPAL FINDINGS: Applying mass spectrometry-based proteomics, we sought to elucidate an unanswered biomarker research question regarding ability to determine tumor burden detectable by an ovarian cancer biomarker protein emanating directly from the tumor cells. Since aggressive serous epithelial ovarian cancers account for most mortality, a xenograft model using human SKOV-3 serous ovarian cancer cells was established to model progression to disseminated carcinomatosis. Using a method for low molecular weight protein enrichment, followed by liquid chromatography and mass spectrometry analysis, a human-specific peptide sequence of S100A6 was identified in sera from mice with advanced-stage experimental ovarian carcinoma. S100A6 expression was documented in cancer xenografts as well as from ovarian cancer patient tissues. Longitudinal study revealed that serum S100A6 concentration is directly related to tumor burden predictions from an inverse regression calibration analysis of data obtained from a detergent-supplemented antigen capture immunoassay and whole-animal bioluminescent optical imaging. The result from the animal model was confirmed in human clinical material as S100A6 was found to be significantly elevated in the sera from women with advanced stage ovarian cancer compared to those with early stage disease. CONCLUSIONS: S100A6 is expressed in ovarian and other cancer tissues, but has not been documented previously in ovarian cancer disease sera. S100A6 is found in serum in concentrations that correlate with experimental tumor burden and with clinical disease stage. The data signify that S100A6 may prove useful in detecting and/or monitoring ovarian cancer, when used in concert with other biomarkers.

Altered {beta}-catenin accumulation in hepatocellular carcinomas of diethylnitrosamine-exposed rhesus macaques.

Chemical exposures are important risks for development of hepatocellular carcinoma (HCC). One such chemical, diethylnitrosamine (DENA), is present in food products as well as in industrial and research settings. Further examination of tumors induced by DENA may yield clues to human risk. HCC from seven rhesus macaques exposed to DENA was selected from a tissue archive to examine for evidence of Wnt/beta-catenin signaling events, which are frequently associated with HCC. DENA exposure durations ranged from 8 to 207 months, and total accumulated dose ranged from 0.7 to 4.08 mg. Unexposed colony breeder macaques served as controls. Previously unrecognized HCC metastases were discovered in lungs of three macaques. Overexpression of beta-catenin and glutamine synthetase was detected by immunohistochemistry in six confirmed primary HCC and all metastatic HCC, which implicated Wnt/beta-catenin activation. Concomitant beta-catenin gene mutation was detected in one primary HCC; similar findings have been reported in human and rodent HCC. Neither beta-catenin mutation nor beta-catenin overexpression appeared to influence metastatic potential. Accumulation of intracellular proteins involved in Wnt/beta-catenin signaling during HCC oncogenesis in rhesus macaques exposed to DENA appears to include other mechanisms, in addition to mutation of beta-catenin gene.

Coexpression of neuronatin splice forms promotes medulloblastoma growth.

Medulloblastoma (MB) is the most common pediatric brain cancer. Several important developmental pathways have been implicated in MB formation, but fewer therapeutic targets have been identified. To locate frequently overexpressed genes, we performed a comprehensive gene expression survey of MB. Our comparison of 20 primary tumors to normal cerebellum identified neuronatin (NNAT) as the most frequently overexpressed gene in our analysis. NNAT is a neural-specific developmental gene with alpha and beta splice forms. Functional evaluation revealed that RNA interference knockdown of NNAT causes a significant decrease in proliferation. Conversely, coexpression of both splice forms in NNAT-negative MB cell lines increased proliferation, caused a significant shift from G(1) to G(2)/M, and increased soft agar colony formation and size. When expressed individually, each NNAT splice form had much less effect on these in vitro oncogenic predictors. In an in vivo model, the coexpression of both splice forms conferred the ability of xenograft formation to human MB cells that do not normally form xenografts, whereas a control gene had no effect. Our findings suggest that the frequently observed overexpression of both NNAT splice forms in MB enhances growth in this cancer.

PLXDC1 (TEM7) is identified in a genome-wide expression screen of glioblastoma endothelium.

Glioblastomas are a highly aggressive brain tumor, with one of the highest rates of new blood vessel formation. In this study we used a combined experimental and bioinformatics strategy to determine which genes were highly expressed and specific for glioblastoma endothelial cells (GBM-ECs), compared to gene expression in normal tissue and endothelium. Starting from fresh glioblastomas, several rounds of negative and positive selection were used to isolate GBM-ECs and extract total RNA. Using Serial Analysis of Gene Expression (SAGE), 116,259 transcript tags (35,833 unique tags) were sequenced. From this expression analysis, we found 87 tags that were not expressed in normal brain. Further subtraction of normal endothelium, bone marrow, white blood cell and other normal tissue transcripts resulted in just three gene transcripts, ANAPC10, PLXDC1(TEM7), and CYP27B1, that are highly specific to GBM-ECs. Immunohistochemistry with an antibody for PLXDC1 showed protein expression in GBM microvasculature, but not in the normal brain endothelium tested. Our results suggest that this study succeeded in identifying GBM-EC specific genes. The entire gene expression profile for the GBM-ECs and other tissues used in this study are available at SAGE Genie (http://cgap.nci.nih.gov/SAGE). Functionally, the protein products of the three tags most specific to GBM-ECs have been implicated in processes critical to endothelial cell proliferation and differentiation, and are potential targets for anti-angiogenesis based therapy.

Sequence survey of receptor tyrosine kinases reveals mutations in glioblastomas.

It is now clear that tyrosine kinases represent attractive targets for therapeutic intervention in cancer. Recent advances in DNA sequencing technology now provide the opportunity to survey mutational changes in cancer in a high-throughput and comprehensive manner. Here we report on the sequence analysis of members of the receptor tyrosine kinase (RTK) gene family in the genomes of glioblastoma brain tumors. Previous studies have identified a number of molecular alterations in glioblastoma, including amplification of the RTK epidermal growth factor receptor. We have identified mutations in two other RTKs: (i) fibroblast growth receptor 1, including the first mutations in the kinase domain in this gene observed in any cancer, and (ii) a frameshift mutation in the platelet-derived growth factor receptor-alpha gene. Fibroblast growth receptor 1, platelet-derived growth factor receptor-alpha, and epidermal growth factor receptor are all potential entry points to the phosphatidylinositol 3-kinase and mitogen-activated protein kinase intracellular signaling pathways already known to be important for neoplasia. Our results demonstrate the utility of applying DNA sequencing technology to systematically assess the coding sequence of genes within cancer genomes.

Identification of astrocytoma associated genes including cell surface markers.

BACKGROUND: Despite intense effort the treatment options for the invasive astrocytic tumors are still limited to surgery and radiation therapy, with chemotherapy showing little or no increase in survival. The generation of Serial Analysis of Gene Expression (SAGE) profiles is expected to aid in the identification of astrocytoma-associated genes and highly expressed cell surface genes as molecular therapeutic targets. SAGE tag counts can be easily added to public expression databases and quickly disseminated to research efforts worldwide. METHODS: We generated and analyzed the SAGE transcription profiles of 25 primary grade II, III and IV astrocytomas 1. These profiles were produced as part of the Cancer Genome Anatomy Project's SAGE Genie 2, and were used in an in silico search for candidate therapeutic targets by comparing astrocytoma to normal brain transcription. Real-time PCR and immunohistochemistry were used for the validation of selected candidate target genes in 2 independent sets of primary tumors. RESULTS: A restricted set of tumor-associated genes was identified for each grade that included genes not previously associated with astrocytomas (e.g. VCAM1, SMOC1, and thymidylate synthetase), with a high percentage of cell surface genes. Two genes with available antibodies, Aquaporin 1 and Topoisomerase 2A, showed protein expression consistent with transcript level predictions. CONCLUSIONS: This survey of transcription in malignant and normal brain tissues reveals a small subset of human genes that are activated in malignant astrocytomas. In addition to providing insights into pathway biology, we have revealed and quantified expression for a significant portion of cell surface and extra-cellular astrocytoma genes.

Comparison of medulloblastoma and normal neural transcriptomes identifies a restricted set of activated genes.

Over 1.4 million transcript tags expressed in 20 different human medulloblastomas were counted using serial analysis of gene expression. Digital gene expression profiles in the medulloblastoma were compared to multiple regions of the normal human brain, revealing 30 transcripts with high expression in multiple tumors and little or no expression in the normal cerebellum and other adult and pediatric brain regions. Using independent medulloblastoma samples and normal tissue, real-time PCR verified eight of nine selected genes as candidate tumor-associated antigens. Differential protein expression for CD24, prolactin and Topo2A was further confirmed by immunohistochemical analysis using medulloblastoma and normal brain sections and a tissue microarray. The genes highly expressed in the medulloblastoma include PRAME, a cancer-testis antigen and potential targets for immunotherapy.