Literature DB >> 23924158

Candidate serum biomarkers for early intestinal cancer using 15N metabolic labeling and quantitative proteomics in the ApcMin/+ mouse.

Melanie M Ivancic1, Edward L Huttlin, Xiaodi Chen, Jennifer K Pleiman, Amy A Irving, Adrian D Hegeman, William F Dove, Michael R Sussman.   

Abstract

Current screening procedures for colorectal cancer are imperfect and highly invasive and result in increased mortality rates due to low compliance. The goal of the experiments reported herein is to identify potential blood-based biomarkers indicative of early stage intestinal cancers using the ApcMin/+ mouse model of intestinal cancer as an experimental system. Serum proteins from tumor-bearing ApcMin/+ mice were quantitatively compared to tumor-free Apc+/+ wild-type mice via in anima metabolic labeling with 14N/15N-labeled Spirulina algae and an LTQ Orbitrap mass spectrometer. Out of 1116 total serum proteins quantified, this study identified 40 that were differentially expressed and correlated with the increase in intestinal neoplasms. A subset of these differentially expressed proteins underwent a secondary quantitative screen using selected reaction monitoring-mass spectrometry with stable isotope-labeled peptides. Using both quantitative techniques, we identified MGAM and COL1A1 as downregulated and ITIH3 and F5 as upregulated in serum. All but COL1A1 were similarly differentially expressed in the mRNA of neoplastic colonic tissues of ApcMin/+ mice compared to normal wild-type tissue. These differentially expressed proteins identified in the ApcMin/+ mouse model have provided a set of candidate biomarkers for future validation screens in humans.

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Year:  2013        PMID: 23924158      PMCID: PMC3792563          DOI: 10.1021/pr400467c

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  73 in total

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3.  Modeling the cost-effectiveness of colorectal cancer screening: policy guidance based on patient preferences and compliance.

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4.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry.

Authors:  Susan E Abbatiello; D R Mani; Hasmik Keshishian; Steven A Carr
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Review 5.  Epidermal growth factor receptor signaling in colorectal cancer: preclinical data and therapeutic perspectives.

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Journal:  J Proteome Res       Date:  2010-07-02       Impact factor: 4.466

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8.  Disruption of structural and functional integrity of alpha 2-macroglobulin by cathepsin E.

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9.  Discovery and validation of colonic tumor-associated proteins via metabolic labeling and stable isotopic dilution.

Authors:  Edward L Huttlin; Xiaodi Chen; Gregory A Barrett-Wilt; Adrian D Hegeman; Richard B Halberg; Amy C Harms; Michael A Newton; William F Dove; Michael R Sussman
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-23       Impact factor: 11.205

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Authors:  Kenneth E Hung; Vitor Faca; Kenneth Song; David A Sarracino; Larissa Georgeon Richard; Bryan Krastins; Sara Forrester; Andrew Porter; Alexandra Kunin; Umar Mahmood; Brian B Haab; Samir M Hanash; Raju Kucherlapati
Journal:  Cancer Prev Res (Phila)       Date:  2009-02-24
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  14 in total

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Review 3.  Proteomics for discovery of candidate colorectal cancer biomarkers.

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4.  The concentrations of EGFR, LRG1, ITIH4, and F5 in serum correlate with the number of colonic adenomas in ApcPirc/+ rats.

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5.  Noninvasive Detection of Colorectal Carcinomas Using Serum Protein Biomarkers.

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Review 6.  Understanding the rules of the road: proteomic approaches to interrogate the blood brain barrier.

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Review 9.  A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research.

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Review 10.  The utility of Apc-mutant rats in modeling human colon cancer.

Authors:  Amy A Irving; Kazuto Yoshimi; Marcia L Hart; Taybor Parker; Linda Clipson; Madeline R Ford; Takashi Kuramoto; William F Dove; James M Amos-Landgraf
Journal:  Dis Model Mech       Date:  2014-10-02       Impact factor: 5.758

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