Literature DB >> 25225358

Spatiotemporal proteomic analyses during pancreas cancer progression identifies serine/threonine stress kinase 4 (STK4) as a novel candidate biomarker for early stage disease.

Justin E Mirus1, Yuzheng Zhang2, Michael A Hollingsworth3, Joell L Solan1, Paul D Lampe4, Sunil R Hingorani5.   

Abstract

Pancreas cancer, or pancreatic ductal adenocarcinoma, is the deadliest of solid tumors, with a five-year survival rate of <5%. Detection of resectable disease improves survival rates, but access to tissue and other biospecimens that could be used to develop early detection markers is confounded by the insidious nature of pancreas cancer. Mouse models that accurately recapitulate the human condition allow disease tracking from inception to invasion and can therefore be useful for studying early disease stages in which surgical resection is possible. Using a highly faithful mouse model of pancreas cancer in conjunction with a high-density antibody microarray containing ∼2500 antibodies, we interrogated the pancreatic tissue proteome at preinvasive and invasive stages of disease. The goal was to discover early stage tissue markers of pancreas cancer and follow them through histologically defined stages of disease using cohorts of mice lacking overt clinical signs and symptoms and those with end-stage metastatic disease, respectively. A panel of seven up-regulated proteins distinguishing pancreas cancer from normal pancreas was validated, and their levels were assessed in tissues collected at preinvasive, early invasive, and moribund stages of disease. Six of the seven markers also differentiated pancreas cancer from an experimental model of chronic pancreatitis. The levels of serine/threonine stress kinase 4 (STK4) increased between preinvasive and invasive stages, suggesting its potential as a tissue biomarker, and perhaps its involvement in progression from precursor pancreatic intraepithelial neoplasia to pancreatic ductal adenocarcinoma. Immunohistochemistry of STK4 at different stages of disease revealed a dynamic expression pattern further implicating it in early tumorigenic events. Immunohistochemistry of a panel of human pancreas cancers confirmed that STK4 levels were increased in tumor epithelia relative to normal tissue. Overall, this integrated approach yielded several tissue markers that could serve as signatures of disease stage, including early (resectable), and therefore clinically meaningful, stages.
© 2014 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2014        PMID: 25225358      PMCID: PMC4256499          DOI: 10.1074/mcp.M113.036517

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  43 in total

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4.  Proteomics in the forefront of cancer biomarker discovery.

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  10 in total

Review 1.  Precision diagnostics: moving towards protein biomarker signatures of clinical utility in cancer.

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2.  Cross-species antibody microarray interrogation identifies a 3-protein panel of plasma biomarkers for early diagnosis of pancreas cancer.

Authors:  Justin E Mirus; Yuzheng Zhang; Christopher I Li; Anna E Lokshin; Ross L Prentice; Sunil R Hingorani; Paul D Lampe
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3.  Protein and glycomic plasma markers for early detection of adenoma and colon cancer.

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5.  Proteomic Analysis, Immune Dysregulation, and Pathway Interconnections with Obesity.

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Review 6.  Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models.

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Review 7.  Clinical proteomics: promises, challenges and limitations of affinity arrays.

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8.  Exploratory plasma proteomic analysis in a randomized crossover trial of aspirin among healthy men and women.

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Journal:  PLoS One       Date:  2017-05-25       Impact factor: 3.240

9.  Quantitative Proteomic Analysis of Differentially Expressed Protein Profiles Involved in Pancreatic Ductal Adenocarcinoma.

Authors:  Kung-Kai Kuo; Chao-Jen Kuo; Chiang-Yen Chiu; Shih-Shin Liang; Chun-Hao Huang; Shu-Wen Chi; Kun-Bow Tsai; Chiao-Yun Chen; Edward Hsi; Kuang-Hung Cheng; Shyh-Horng Chiou
Journal:  Pancreas       Date:  2016-01       Impact factor: 3.327

10.  Analysis of dynamic molecular networks for pancreatic ductal adenocarcinoma progression.

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  10 in total

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