Literature DB >> 22020805

Characterisation of in vivo ovarian cancer models by quantitative 1H magnetic resonance spectroscopy and diffusion-weighted imaging.

Rossella Canese1, Maria Elena Pisanu, Delia Mezzanzanica, Alessandro Ricci, Luisa Paris, Marina Bagnoli, Barbara Valeri, Massimo Spada, Massimo Venditti, Albino Cesolini, Andrea Rodomonte, Massimo Giannini, Silvana Canevari, Franca Podo, Egidio Iorio.   

Abstract

Magnetic resonance imaging (MRI) and spectroscopy (MRS) offer powerful approaches for detecting physiological and metabolic alterations in malignancies and help investigate underlying molecular mechanisms. Research on epithelial ovarian carcinoma (EOC), the gynaecological malignancy with the highest death rate characterised by frequent relapse and onset of drug resistance, could benefit from application of these molecular imaging approaches. In this study, MRI/MRS were used to characterise solid tumour models obtained by subcutaneous (s.c.) or intraperitoneal (i.p.) implantation of human SKOV3.ip cells in severe combined immunodeficiency (SCID) mice. In vivo MRI/MRS, ex vivo magic-angle-spinning (MAS), and in vitro (1)H-NMR measurements were carried out at 4.7 T, 9.4 T, and 9.4/16.5 T, respectively. MRI evaluation was performed by T1-, T2-, and diffusion-weighted (DW) multislice spin-echo imaging. The in vivo (1)H spectra of all tumour models showed a prominent resonance of total choline-containing metabolites (tCho). Quantitative in vivo MRS of both i.p. and s.c. SKOV3.ip xenografts showed that the mean tCho content was in the 2.9-4.5 mM range, with a mean PCho/tCho ratio of 0.99 ± 0.01 [23 examinations, 14-34 days post injection (dpi)], in good agreement with ex vivo and in vitro analyses. Myo-inositol ranged between 11.7 and 17.0 mM, with a trend towards higher values in i.p. xenografts at 14-16 dpi. The average apparent diffusion coefficient (ADC) values of SKOV3.ip xenografts [1.64 ± 0.11 (n = 9, i.p.) and 1.58 ± 0.03 x10(-3) mm(2)/s (n = 7, s.c.)] were in agreement with values reported for tumours from patients with EOC, while the mean vascular signal fraction (VSF) was lower (≤ 4%), probably due to the more rapid growth of preclinical models. Both s.c. and i.p. xenografts are valuable preclinical models for monitoring biochemical and physiopathological changes associated with in vivo EOC tumour growth and response to therapy, which may serve as the basis for further clinical development of noninvasive MR approaches.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 22020805     DOI: 10.1002/nbm.1779

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  19 in total

1.  Persistent modification of forebrain networks and metabolism in rats following adolescent exposure to a 5-HT7 receptor agonist.

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Journal:  Psychopharmacology (Berl)       Date:  2014-06-13       Impact factor: 4.530

2.  Apparent diffusion coefficient histogram analysis for differentiating solid ovarian tumors.

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3.  Deficient Purposeful Use of Forepaws in Female Mice Modelling Rett Syndrome.

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4.  Monitoring response to cytostatic cisplatin in a HER2(+) ovary cancer model by MRI and in vitro and in vivo MR spectroscopy.

Authors:  M E Pisanu; A Ricci; L Paris; E Surrentino; L Liliac; M Bagnoli; S Canevari; D Mezzanzanica; F Podo; E Iorio; R Canese
Journal:  Br J Cancer       Date:  2013-12-12       Impact factor: 7.640

5.  Mapping pathological phenotypes in reelin mutant mice.

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Review 6.  Evaluation of Cancer Metabolomics Using ex vivo High Resolution Magic Angle Spinning (HRMAS) Magnetic Resonance Spectroscopy (MRS).

Authors:  Taylor L Fuss; Leo L Cheng
Journal:  Metabolites       Date:  2016-03-22

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Authors:  Simone Macrì; Chiara Ceci; Rossella Canese; Giovanni Laviola
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

8.  The Directive 2010/63/EU on animal experimentation may skew the conclusions of pharmacological and behavioural studies.

Authors:  Simone Macrì; Chiara Ceci; Luisa Altabella; Rossella Canese; Giovanni Laviola
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

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Journal:  Sci Rep       Date:  2015-08-25       Impact factor: 4.379

Review 10.  Recent technological advances in using mouse models to study ovarian cancer.

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Journal:  Front Oncol       Date:  2014-02-13       Impact factor: 6.244

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