Literature DB >> 22226478

Qualification of imaging biomarkers for oncology drug development.

John C Waterton1, Liisa Pylkkanen.   

Abstract

Although many imaging biomarkers have been described for cancer research, few are sufficiently robust, reliable and well-characterised to be used as routine tools in clinical cancer research. In particular, biomarkers which show that investigational therapies have reduced tumour cell proliferation, or induced necrotic or apoptotic cell death are not commonly used to support decision-making in drug development, even though such pharmacodynamic effects are common goals of many classes of investigational drugs. Moreover we lack well-qualified biomarkers of propensity to metastasise. The qualification and technical validation of imaging biomarkers poses unique challenges not always encountered when validating biospecimen biomarkers. These include standardisation of acquisition and analysis, imaging-pathology correlation, cross-sectional clinical-biomarker correlations and correlation with outcome. Such work is ideally suited to precompetitive research and public-private partnerships, and this has been recognised within the Innovative Medicines Initiative (IMI), a Joint Undertaking between the European Union and the European Federation of Pharmaceutical Industries and Associations, which has initiated projects in the areas of drug safety, drug efficacy, knowledge management and training. Copyright Â
© 2011 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22226478     DOI: 10.1016/j.ejca.2011.11.037

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  38 in total

1.  Metrology Standards for Quantitative Imaging Biomarkers.

Authors:  Daniel C Sullivan; Nancy A Obuchowski; Larry G Kessler; David L Raunig; Constantine Gatsonis; Erich P Huang; Marina Kondratovich; Lisa M McShane; Anthony P Reeves; Daniel P Barboriak; Alexander R Guimaraes; Richard L Wahl
Journal:  Radiology       Date:  2015-08-12       Impact factor: 11.105

Review 2.  Personalized radiotherapy: concepts, biomarkers and trial design.

Authors:  A H Ree; K R Redalen
Journal:  Br J Radiol       Date:  2015-05-20       Impact factor: 3.039

Review 3.  Functional MRI and CT biomarkers in oncology.

Authors:  J M Winfield; G S Payne; N M deSouza
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-13       Impact factor: 9.236

4.  Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement.

Authors:  Ji Eun Park; Donghyun Kim; Ho Sung Kim; Seo Young Park; Jung Youn Kim; Se Jin Cho; Jae Ho Shin; Jeong Hoon Kim
Journal:  Eur Radiol       Date:  2019-07-26       Impact factor: 5.315

Review 5.  An Assessment of Imaging Informatics for Precision Medicine in Cancer.

Authors:  C Chennubhotla; L P Clarke; A Fedorov; D Foran; G Harris; E Helton; R Nordstrom; F Prior; D Rubin; J H Saltz; E Shalley; A Sharma
Journal:  Yearb Med Inform       Date:  2017-09-11

Review 6.  Evolution of Chemosensitivity and Resistance Assays as Predictors of Clinical Outcomes in Epithelial Ovarian Cancer Patients.

Authors:  Bradley J Monk; Thomas J Herzog; Krishnansu S Tewari
Journal:  Curr Pharm Des       Date:  2016       Impact factor: 3.116

7.  Examining changes in [18 F]FDG and [18 F]FLT uptake in U87-MG glioma xenografts as early response biomarkers to treatment with the dual mTOR1/2 inhibitor AZD8055.

Authors:  Heather G Keen; Sally-Ann Ricketts; Juliana Maynard; Armelle Logie; Rajesh Odedra; Aoife M Shannon; Stephen R Wedge; Sylvie M Guichard
Journal:  Mol Imaging Biol       Date:  2014-06       Impact factor: 3.488

8.  Apparent diffusion coefficient is highly reproducible on preclinical imaging systems: Evidence from a seven-center multivendor study.

Authors:  Sabrina Doblas; Gilberto S Almeida; François-Xavier Blé; Philippe Garteiser; Benjamin A Hoff; Dominick J O McIntyre; Lydia Wachsmuth; Thomas L Chenevert; Cornelius Faber; John R Griffiths; Andreas H Jacobs; David M Morris; James P B O'Connor; Simon P Robinson; Bernard E Van Beers; John C Waterton
Journal:  J Magn Reson Imaging       Date:  2015-05-26       Impact factor: 4.813

Review 9.  Imaging tumor metabolism using positron emission tomography.

Authors:  David Y Lewis; Dmitry Soloviev; Kevin M Brindle
Journal:  Cancer J       Date:  2015 Mar-Apr       Impact factor: 3.360

10.  Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models.

Authors:  James P B O'Connor; Jessica K R Boult; Yann Jamin; Muhammad Babur; Katherine G Finegan; Kaye J Williams; Ross A Little; Alan Jackson; Geoff J M Parker; Andrew R Reynolds; John C Waterton; Simon P Robinson
Journal:  Cancer Res       Date:  2015-12-09       Impact factor: 12.701

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