Literature DB >> 26269773

Measurement of hypoxia-related parameters in three sublines of a rat prostate carcinoma using dynamic (18)F-FMISO-Pet-Ct and quantitative histology.

Pamela Mena-Romano1, Caixia Cheng2, Christin Glowa3, Peter Peschke4, Leyun Pan2, Uwe Haberkorn5, Antonia Dimitrakopoulou-Strauss2, Christian P Karger1.   

Abstract

Hypoxia is an important resistance factor in radiotherapy and measuring its spatial distribution in tumors non-invasively is therefore of major importance. This study characterizes the hypoxic conditions of three tumor sublines (AT1, HI and H) of the Dunning R3327 prostate tumor model, which differ in histology, differentiation degree, volume doubling time and androgenic sensitivity, using dynamic Fluoromisonidazole ((18)F-FMISO)-Positron Emission Tomography/Computed Tomography (PET-CT) and histology. Measurements were performed for two tumor volumes (average 0.8±0.5 cm(3) vs 4.4±2.8 cm(3)). Data were analyzed according to tumor subline as well as to the shape of the time activity curves (TACs), based on standardized uptake values (SUVs) and a two-tissue compartment model. Quantitative immunohistochemical studies of the hypoxic fraction, vessel density and vessel size were performed using pimonidazole, Hoechst 33342 and CD31 dyes. No significant FMISO uptake was found in small tumors, which had a mean SUV of 0.64±0.36, 0.55±0.10 and 0.45±0.08, for AT1, HI and H sublines respectively. In large tumors, the SUVs were 1.33±0.52, 1.12±0.83 and 0.63±0.16 for AT1, HI and H sublines and the corresponding hypoxic fractions obtained with pimonidazole staining were 0.62±0.23, 0.54±0.24 and 0.07±0.10, respectively. The AT1- was the most and H-tumor was the least hypoxic for both methods (P<0.05). All measurements were able to discriminate different hypoxic conditions, however despite SUV and kinetic parameters correlated with the three identified TAC shapes, most of the histological results did not. These results demonstrate impact and limitations of static and dynamic PET-CT measurements to assess hypoxia non-invasively.

Entities:  

Keywords:  CD31; Hypoxia; dynamic FMISO PET-imaging; hoechst 33342; pimonidazole; prostate adenocarcinoma Dunning R3327

Year:  2015        PMID: 26269773      PMCID: PMC4529589     

Source DB:  PubMed          Journal:  Am J Nucl Med Mol Imaging


  48 in total

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Authors:  Hiroshi Watabe; Yoko Ikoma; Yuichi Kimura; Mika Naganawa; Miho Shidahara
Journal:  Ann Nucl Med       Date:  2006-11       Impact factor: 2.668

2.  A JAVA environment for medical image data analysis: initial application for brain PET quantitation.

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Review 3.  Kinetic modeling in PET imaging of hypoxia.

Authors:  Fan Li; Jesper T Joergensen; Anders E Hansen; Andreas Kjaer
Journal:  Am J Nucl Med Mol Imaging       Date:  2014-09-06

4.  Pretreatment oxygenation predicts radiation response in advanced squamous cell carcinoma of the head and neck.

Authors:  M Nordsmark; M Overgaard; J Overgaard
Journal:  Radiother Oncol       Date:  1996-10       Impact factor: 6.280

Review 5.  PET radiopharmaceuticals for imaging of tumor hypoxia: a review of the evidence.

Authors:  Egesta Lopci; Ilaria Grassi; Arturo Chiti; Cristina Nanni; Gianfranco Cicoria; Luca Toschi; Cristina Fonti; Filippo Lodi; Sandro Mattioli; Stefano Fanti
Journal:  Am J Nucl Med Mol Imaging       Date:  2014-06-07

6.  Assessing hypoxia in animal tumor models based on pharmocokinetic analysis of dynamic FAZA PET.

Authors:  Morten Busk; Ole Lajord Munk; Steen Jakobsen; Tobias Wang; Marianne Skals; Torben Steiniche; Michael Robert Horsman; Jens Overgaard
Journal:  Acta Oncol       Date:  2010-10       Impact factor: 4.089

7.  Polarographic needle electrode measurements of oxygen in rat prostate carcinomas: accuracy and reproducibility.

Authors:  K A Yeh; S Biade; R M Lanciano; D Q Brown; M C Fenning; J S Babb; G E Hanks; D C Chapman
Journal:  Int J Radiat Oncol Biol Phys       Date:  1995-08-30       Impact factor: 7.038

8.  Noninvasive multimodality imaging of the tumor microenvironment: registered dynamic magnetic resonance imaging and positron emission tomography studies of a preclinical tumor model of tumor hypoxia.

Authors:  HyungJoon Cho; Ellen Ackerstaff; Sean Carlin; Mihaela E Lupu; Ya Wang; Asif Rizwan; Joseph O'Donoghue; C Clifton Ling; John L Humm; Pat B Zanzonico; Jason A Koutcher
Journal:  Neoplasia       Date:  2009-03       Impact factor: 5.715

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Journal:  Med Phys       Date:  1995-07       Impact factor: 4.071

10.  Kinetic analysis of dynamic 18F-fluoromisonidazole PET correlates with radiation treatment outcome in head-and-neck cancer.

Authors:  Daniela Thorwarth; Susanne-Martina Eschmann; Jutta Scheiderbauer; Frank Paulsen; Markus Alber
Journal:  BMC Cancer       Date:  2005-12-01       Impact factor: 4.430

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  3 in total

1.  Carbon ion radiotherapy: impact of tumor differentiation on local control in experimental prostate carcinomas.

Authors:  Christin Glowa; Peter Peschke; Stephan Brons; Oliver C Neels; Klaus Kopka; Jürgen Debus; Christian P Karger
Journal:  Radiat Oncol       Date:  2017-11-09       Impact factor: 3.481

Review 2.  How to Modulate Tumor Hypoxia for Preclinical In Vivo Imaging Research.

Authors:  Sven De Bruycker; Christel Vangestel; Steven Staelens; Tim Van den Wyngaert; Sigrid Stroobants
Journal:  Contrast Media Mol Imaging       Date:  2018-10-18       Impact factor: 3.161

Review 3.  Anatomy and Imaging of Rat Prostate: Practical Monitoring in Experimental Cancer-Induced Protocols.

Authors:  Mário Ginja; Maria J Pires; José M Gonzalo-Orden; Fernanda Seixas; Miguel Correia-Cardoso; Rita Ferreira; Margarida Fardilha; Paula A Oliveira; Ana I Faustino-Rocha
Journal:  Diagnostics (Basel)       Date:  2019-06-30
  3 in total

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