Literature DB >> 12920855

Microarray gene expression analysis of murine tumor heterogeneity defined by dynamic contrast-enhanced MRI.

Nick G Costouros1, Dominique Lorang, Yantian Zhang, Marshall S Miller, Felix E Diehn, Stephen M Hewitt, Michael V Knopp, King C P Li, Peter L Choyke, H Richard Alexander, Steven K Libutti.   

Abstract

Current methods of studying angiogenesis are limited in their ability to serially evaluate in vivo function throughout a target tissue. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and pharmacokinetic modeling provide a useful method for evaluating tissue vasculature based on contrast accumulation and washout. While it is often assumed that areas of high contrast enhancement and washout comprise areas of increased angiogenesis and tumor activity, the actual molecular pathways that are active in such areas are poorly understood. Using DCE-MRI in a murine subcutaneous tumor model, we were able to perform pharmacokinetic functional analysis of a tumor, coregistration of MRI images with histological cross-sections, immunohistochemistry, laser capture microdissection, and genetic profiling of tumor heterogeneity based on pharmacokinetic parameters. Using imaging as a template for biologic investigation, we have not found evidence of increased expression of proangiogenic modulators at the transcriptional level in either distinct pharmacokinetic region. Furthermore, these regions show no difference on histology and CD31 immunohistochemistry. However, the expression of ribosomal proteins was greatly increased in high enhancement and washout regions, implying increased protein translation and consequent increased cellular activity. Together, these findings point to the potential importance of posttranscriptional regulation in angiogenesis and the need for the development of angiogenesis-specific contrast agents to evaluate in vivo angiogenesis at a molecular level.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12920855     DOI: 10.1162/153535002760235481

Source DB:  PubMed          Journal:  Mol Imaging        ISSN: 1535-3508            Impact factor:   4.488


  11 in total

1.  An interventional magnetic resonance imaging technique for the molecular characterization of intraprostatic dynamic contrast enhancement.

Authors:  Cynthia Ménard; Robert C Susil; Peter Choyke; Jonathan Coleman; Robert Grubb; Ahmed Gharib; Axel Krieger; Peter Guion; David Thomasson; Karen Ullman; Sandeep Gupta; Virginia Espina; Lance Liotta; Emanuel Petricoin; Gabor Fitchtinger; Louis L Whitcomb; Ergin Atalar; C Norman Coleman; Kevin Camphausen
Journal:  Mol Imaging       Date:  2005 Jan-Mar       Impact factor: 4.488

2.  CAM-CM: a signal deconvolution tool for in vivo dynamic contrast-enhanced imaging of complex tissues.

Authors:  Li Chen; Tsung-Han Chan; Peter L Choyke; Elizabeth M C Hillman; Chong-Yung Chi; Zaver M Bhujwalla; Ge Wang; Sean S Wang; Zsolt Szabo; Yue Wang
Journal:  Bioinformatics       Date:  2011-07-23       Impact factor: 6.937

3.  Tissue-specific compartmental analysis for dynamic contrast-enhanced MR imaging of complex tumors.

Authors:  Li Chen; Peter L Choyke; Tsung-Han Chan; Chong-Yung Chi; Ge Wang; Yue Wang
Journal:  IEEE Trans Med Imaging       Date:  2011-06-23       Impact factor: 10.048

Review 4.  Evolutionary dynamics of carcinogenesis and why targeted therapy does not work.

Authors:  Robert J Gillies; Daniel Verduzco; Robert A Gatenby
Journal:  Nat Rev Cancer       Date:  2012-06-14       Impact factor: 60.716

5.  A reference agent model for DCE MRI can be used to quantify the relative vascular permeability of two MRI contrast agents.

Authors:  Julio Cárdenas-Rodríguez; Christine M Howison; Terry O Matsunaga; Mark D Pagel
Journal:  Magn Reson Imaging       Date:  2013-04-11       Impact factor: 2.546

Review 6.  Clinical biomarkers of angiogenesis inhibition.

Authors:  Aaron P Brown; Deborah E Citrin; Kevin A Camphausen
Journal:  Cancer Metastasis Rev       Date:  2008-09       Impact factor: 9.264

Review 7.  Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: a review.

Authors:  Xiangyu Yang; Michael V Knopp
Journal:  J Biomed Biotechnol       Date:  2011-04-26

8.  Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity and repopulation dynamics.

Authors:  Li Chen; Peter L Choyke; Niya Wang; Robert Clarke; Zaver M Bhujwalla; Elizabeth M C Hillman; Ge Wang; Yue Wang
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

Review 9.  Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome.

Authors:  James P B O'Connor; Chris J Rose; John C Waterton; Richard A D Carano; Geoff J M Parker; Alan Jackson
Journal:  Clin Cancer Res       Date:  2014-11-24       Impact factor: 12.531

Review 10.  Pushing CT and MR imaging to the molecular level for studying the "omics": current challenges and advancements.

Authors:  Hsuan-Ming Huang; Yi-Yu Shih
Journal:  Biomed Res Int       Date:  2014-03-13       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.