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      Detection of early pancreatic ductal adenocarcinoma with thrombospondin-2 and CA19-9 blood markers

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          Abstract

          <p class="first" id="P1">Markers are needed to facilitate early detection of pancreatic ductal adenocarcinoma (PDAC), which is often diagnosed too late for effective therapy. Starting with a PDAC cell reprogramming model that recapitulated the progression of human PDAC, we identified secreted proteins and tested and validated a subset of them as potential markers of PDAC. We optimized an ELISA assay using plasma samples from patients with various stages of PDAC, from individuals with benign pancreatic disease, and from healthy controls. Clinical studies including a phase 1 discovery study (N=20 patients), a phase 2a validation study (N=189), and a second phase 2b validation study (N=537) revealed that concentrations of plasma thrombospondin-2 (THBS2) discriminated among all stages of PDAC consistently over the three studies with a Receiver Operating Characteristic (ROC) c-statistic of 0.76 in Phase 1, 0.842 in Phase 2a, and 0.875 in Phase 2b. The concentration of THBS2 in plasma performed as well at discriminating resectable stage I cancer as stage III/IV PDAC. THBS2 concentrations combined with those for CA19-9, a previously identified PDAC marker, yielded a c-statistic of 0.956 in the Phase 2a study and 0.970 in the Phase 2b study. THBS2 data improved the ability of CA19-9 to distinguish PDAC from pancreatitis. With a specificity of 98%, the combination of THBS2 and CA19-9 yielded a sensitivity of 87% for PDAC in the Phase 2b study. Given this, a THBS2 and CA19-9 panel assessed in human blood using a conventional ELISA assay may improve the detection of patients at high risk for PDAC. </p>

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          Most cited references33

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          Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

          The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.
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            Elevated circulating branched chain amino acids are an early event in pancreatic adenocarcinoma development

            Most patients with pancreatic ductal adenocarcinoma (PDAC) are diagnosed with advanced disease and survive less than 12 months 1 . PDAC has been linked with obesity and glucose intolerance 2-4 , but whether changes in circulating metabolites are associated with early cancer progression is unknown. To better understand metabolic derangements associated with early disease, we profiled metabolites in prediagnostic plasma from pancreatic cancer cases and matched controls from four prospective cohort studies. We find that elevated plasma levels of branched chain amino acids (BCAAs) are associated with a greater than 2–fold increased risk of future pancreatic cancer diagnosis. This elevated risk was independent of known predisposing factors, with the strongest association observed among subjects with samples collected 2 to 5 years prior to diagnosis when occult disease is likely present. We show that plasma BCAAs are also elevated in mice with early stage pancreatic cancers driven by mutant Kras expression, and that breakdown of tissue protein accounts for the increase in plasma BCAAs that accompanies early stage disease. Together, these findings suggest that increased whole–body protein breakdown is an early event in development of PDAC.
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              Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design

              Research methods for biomarker evaluation lag behind those for evaluating therapeutic treatments. Although a phased approach to development of biomarkers exists and guidelines are available for reporting study results, a coherent and comprehensive set of guidelines for study design has not been delineated. We describe a nested case–control study design that involves prospective collection of specimens before outcome ascertainment from a study cohort that is relevant to the clinical application. The biomarker is assayed in a blinded fashion on specimens from randomly selected case patients and control subjects in the study cohort. We separately describe aspects of the design that relate to the clinical context, biomarker performance criteria, the biomarker test, and study size. The design can be applied to studies of biomarkers intended for use in disease diagnosis, screening, or prognosis. Common biases that pervade the biomarker research literature would be eliminated if these rigorous standards were followed.
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                Author and article information

                Journal
                Science Translational Medicine
                Sci. Transl. Med.
                American Association for the Advancement of Science (AAAS)
                1946-6234
                1946-6242
                July 12 2017
                July 12 2017
                : 9
                : 398
                : eaah5583
                Article
                10.1126/scitranslmed.aah5583
                5727893
                28701476
                69068be7-9b18-4cb8-a519-63eac4fc5239
                © 2017

                http://www.sciencemag.org/about/science-licenses-journal-article-reuse

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