Literature DB >> 19366661

Quantitative magnetic resonance and optical imaging biomarkers of melanoma metastatic potential.

Lin Z Li1, Rong Zhou, He N Xu, Lily Moon, Tuoxiu Zhong, Eun Ju Kim, Hui Qiao, Ravinder Reddy, Dennis Leeper, Britton Chance, Jerry D Glickson.   

Abstract

Noninvasive or minimally invasive prediction of tumor metastatic potential would facilitate individualized cancer management. Studies were performed on a panel of human melanoma xenografts that spanned the full range of metastatic potential measured by an in vivo lung colony assay and an in vitro membrane invasion culture system. Three imaging methods potentially transferable to the clinic [dynamic contrast-enhanced (DCE) MRI, T(1(rho))-MRI, and low-temperature fluorescence imaging (measurable on biopsy specimens)] distinguished between relatively less metastatic and more metastatic human melanoma xenografts in nude mice. DCE-MRI, analyzed with the shutter-speed relaxometric algorithm and using an arterial input function simultaneously measured in the left ventricle of the mouse heart, yielded a blood transfer rate constant, K(trans), that measures vascular perfusion/permeability. K(trans) was significantly higher in the core of the least metastatic melanoma (A375P) than in the core of the most metastatic melanoma (C8161). C8161 melanoma had more blood vascular structures but fewer functional blood vessels than A375P melanoma. The A375P melanoma exhibited mean T(1(rho)) values that were significantly higher than those of C8161 melanoma. Measurements of T(1) and T(2) relaxation times did not differ significantly between these 2 melanomas. The mitochondrial redox ratio, Fp/(Fp + NADH), where Fp and NADH are the fluorescences of oxidized flavoproteins and reduced pyridine nucleotides, respectively, varied linearly with the in vitro invasive potential of the 5 melanoma cell lines (A375P, A375M, A375P10, A375P5, and C8161). This study shows that a harsh microenvironment may promote melanoma metastasis and provides potential biomarkers of metastatic potential.

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Year:  2009        PMID: 19366661      PMCID: PMC2672511          DOI: 10.1073/pnas.0901807106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  44 in total

1.  Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology.

Authors:  Thomas E Yankeelov; William D Rooney; Wei Huang; Jonathan P Dyke; Xin Li; Alina Tudorica; Jing-Huei Lee; Jason A Koutcher; Charles S Springer
Journal:  NMR Biomed       Date:  2005-05       Impact factor: 4.044

Review 2.  Hypoxia in cancer: significance and impact on clinical outcome.

Authors:  Peter Vaupel; Arnulf Mayer
Journal:  Cancer Metastasis Rev       Date:  2007-06       Impact factor: 9.264

Review 3.  Role of intermediate filaments in migration, invasion and metastasis.

Authors:  M J Hendrix; E A Seftor; Y W Chu; K T Trevor; R E Seftor
Journal:  Cancer Metastasis Rev       Date:  1996-12       Impact factor: 9.264

4.  Relation between pO2, 31P magnetic resonance spectroscopy parameters and treatment outcome in patients with high-grade soft tissue sarcomas treated with thermoradiotherapy.

Authors:  Mark W Dewhirst; Jean M Poulson; Daohai Yu; Linda Sanders; Michaël Lora-Michiels; Zeljko Vujaskovic; Ellen L Jones; Thaddeus V Samulski; Barbara E Powers; David M Brizel; Leonard R Prosnitz; H Cecil Charles
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-02-01       Impact factor: 7.038

5.  Redox sensor CtBP mediates hypoxia-induced tumor cell migration.

Authors:  Qinghong Zhang; Su-Yan Wang; Amanda C Nottke; Jonathan V Rocheleau; David W Piston; Richard H Goodman
Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-01       Impact factor: 11.205

6.  Predicting melanoma metastatic potential by optical and magnetic resonance imaging.

Authors:  Lin Z J Li; Rong Zhou; Tuoxiu Zhong; Lily Moon; Eun Ju Kim; Hui Qiao; Stephen Pickup; Mary J Hendrix; Dennis Leeper; Britton Chance; Jerry D Glickson
Journal:  Adv Exp Med Biol       Date:  2007       Impact factor: 2.622

7.  MRI estimation of the arterial input function in mice.

Authors:  Stephen Pickup; Rong Zhou; Jerry Glickson
Journal:  Acad Radiol       Date:  2003-09       Impact factor: 3.173

8.  Simultaneous measurement of arterial input function and tumor pharmacokinetics in mice by dynamic contrast enhanced imaging: effects of transcytolemmal water exchange.

Authors:  Rong Zhou; Stephen Pickup; Thomas E Yankeelov; Charles S Springer; Jerry D Glickson
Journal:  Magn Reson Med       Date:  2004-08       Impact factor: 4.668

9.  Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model.

Authors:  P S Tofts; B Berkowitz; M D Schnall
Journal:  Magn Reson Med       Date:  1995-04       Impact factor: 4.668

Review 10.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

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  54 in total

1.  Use of endogenous NADH fluorescence for real-time in situ visualization of epicardial radiofrequency ablation lesions and gaps.

Authors:  Marco Mercader; Luther Swift; Sumit Sood; Huda Asfour; Matthew Kay; Narine Sarvazyan
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-03-09       Impact factor: 4.733

2.  Permeability assessment of the focused ultrasound-induced blood-brain barrier opening using dynamic contrast-enhanced MRI.

Authors:  F Vlachos; Y-S Tung; E E Konofagou
Journal:  Phys Med Biol       Date:  2010-08-25       Impact factor: 3.609

3.  Physiological variation of liver iron concentration may not be dominantly responsible for the liver T1rho variations associated with age and gender.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2021-04

4.  Optical Redox Imaging of Lonidamine Treatment Response of Melanoma Cells and Xenografts.

Authors:  He N Xu; Min Feng; Kavindra Nath; David Nelson; Jeff Roman; Huaqing Zhao; Zhenwu Lin; Jerry Glickson; Lin Z Li
Journal:  Mol Imaging Biol       Date:  2019-06       Impact factor: 3.488

5.  Is higher lactate an indicator of tumor metastatic risk? A pilot MRS study using hyperpolarized (13)C-pyruvate.

Authors:  He N Xu; Stephen Kadlececk; Harrilla Profka; Jerry D Glickson; Rahim Rizi; Lin Z Li
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

6.  Breast cancer redox heterogeneity detectable with chemical exchange saturation transfer (CEST) MRI.

Authors:  Kejia Cai; He N Xu; Anup Singh; Lily Moon; Mohammad Haris; Ravinder Reddy; Lin Z Li
Journal:  Mol Imaging Biol       Date:  2014-10       Impact factor: 3.488

7.  IMAGING REDOX STATE HETEROGENEITY WITHIN INDIVIDUAL EMBRYONIC STEM CELL COLONIES.

Authors:  He N Xu; Russell C Addis; Davida F Goings; Shoko Nioka; Britton Chance; John D Gearhart; Lin Z Li
Journal:  J Innov Opt Health Sci       Date:  2011-07

8.  Magnetization Transfer MRI Contrast May Correlate with Tissue Redox State in Prostate Cancer.

Authors:  Rongwen Tain; He N Xu; Xiaohong J Zhou; Lin Z Li; Kejia Cai
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

9.  Potential Indexing of the Invasiveness of Breast Cancer Cells by Mitochondrial Redox Ratios.

Authors:  Nannan Sun; He N Xu; Qingming Luo; Lin Z Li
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

10.  Two-photon microscopy for non-invasive, quantitative monitoring of stem cell differentiation.

Authors:  William L Rice; David L Kaplan; Irene Georgakoudi
Journal:  PLoS One       Date:  2010-04-16       Impact factor: 3.240

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