Literature DB >> 22347903

White paper on imaging biomarkers.

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Abstract

Because of the importance of biomarkers within medicine as a whole and the increasing realisation that imaging can safely provide biomarkers, the ESR executive commissioned this report by experts in the field. It is hoped that further awareness amongst our community will contibute to further exploitation of the enormous wealth of biomaker information available in our day to day imaging. The all important issues surrounding validation and standardisation are discussed, together with proposals for a European Network on Imaging Biomarkers to oversee such aspects.

Entities:  

Year:  2010        PMID: 22347903      PMCID: PMC3259342          DOI: 10.1007/s13244-010-0025-8

Source DB:  PubMed          Journal:  Insights Imaging        ISSN: 1869-4101


Introduction

Biomarkers are characteristics that are objectively measured as indicators of normal biological processes, pathological changes, or pharmaceutical responses to a therapeutic intervention [1]. Depending on the mode of collecting the information, three types of biomarkers can be distinguished: biochemical or histological parameters detected on tissue samples obtained at biopsy or surgery, biochemical parameters or cells obtained on blood or urine samples, anatomical, functional or molecular parameters detected with imaging. Biomarkers have multiple applications, including: : use as a tool to predict patients at risk of disease. Calcium scoring as an indicator of the risk of coronary artery disease is an example of predictive biomarker. : use as a diagnostic tool for the identification of patients with disease. For example, measurement of the hepatic perfusion index at CT has been proposed as a biomarker for the detection of occult liver metastases from colorectal cancer. : use as a tool for classification of the extent of disease. PET-CT with measurements of specific uptake values (SUV) is increasingly used as staging biomarker of various malignant tumors. use as an indicator of disease aggressiveness and prognosis. Several studies with variable results have assessed the correlation between MRI perfusion and diffusion parameters and tumor aggressiveness or prognosis. use as a tool for evaluating the disease response to treatment. Imaging biomarkers are useful for all these applications. Compared with biochemical and histological biomarkers, imaging biomarkers have the advantage of remaining non-invasive and being spatially and temporally resolved. Imaging biomarkers play an increasing role in major medical areas such as cancer, cardiovascular diseases, neurological and psychiatric diseases, musculoskeletal diseases, metabolic diseases, and inflammatory and autoimmunity-based diseases [2].

Drug development and imaging biomarkers

One area where imaging biomarkers have a critical role is new drug development. Drug development has considerably changed these last 20 years because impressive progresses in molecular biology have been made, leading to an increasingly detailed understanding of the genetic abnormalities in diseases [3]. The discovery of gene mutations and the identification of the cellular pathways that their encoded proteins control provide a wide range of new targets for drug development. Contemporary drug development is an ordered process starting with identification and validation of a target with high throughput methodologies and going through lead identification and optimization to preclinical and clinical trials of drug candidates [4]. In preclinical trials, the efficacy and toxicity of the drug is assessed in animals. Afterwards, the drug is tested in patients during three clinical phases. In phase 1, the toxicity, pharmacokinetics, pharmacodynamics, and optimal dose levels are assessed; in phase 2, the biological efficacy is determined; and in phase 3, controlled trials are performed to assess the effects on clinical endpoints [5]. The term “pharmacokinetics” denotes what the body does to the drug in terms of its absorption, distribution, metabolism, and excretion, including the concentration-time relationship and its dependence on dose, the term “pharmacodynamics” denotes what the drug does to the body [6]. Despite the successes with targeted drugs, there is a general concern about the slow arrival and increasing cost for development of new therapies. This is explained by the fact that the most reliable way to assess the clinical impact of a therapeutic intervention is through its effect on a clinical endpoint such as survival or disease-free survival. These standards may be impractical because long periods are required for these clinical endpoints to be achieved and trials with large number of patients are needed for their evaluation. The developments in quantitative medical imaging offer the opportunity of using imaging biomarkers to speed up the drug development process. For example, the lack of validated non-invasive biomarkers has been recognized as a major hinder to the development and use of antifibrotic drugs in patients with liver fibrosis [7]. Two types of biomarkers should be distinguished here: are used to show that the drug has an anatomical, functional, or biological effect on the target. Pharmacodynamic biomarkers are used in preclinical studies and phase 1 trials to confirm that the drug hits the target and that hitting this target alters the pathophysiological mechanism. The use of pharmacodynamic biomarkers in these early studies has the potential to improve patient selection, accelerate the drug development process, maximize the ability to generate important information about human disease, and decrease the risk of late and costly drug attrition [8, 9]. are biomarkers that are intended to substitute for a clinical endpoint and support approval for marketing authorization. They should thus be used in phase 2 and 3 trials to show that altering the pathophysiological mechanism of the disease affects the clinical status [10]. To substitute to a clinical endpoint such as progression free or overall survival, a surrogate endpoint has to be shown to be highly correlated with the clinical endpoint in a series of coordinated prospectively designed multi-centre trials culminating in a formal meta-analysis [11].

Requirements for effective use of imaging biomarkers

In addition to technology stability (robustness), non-invasiveness, and broad availability, there are two main prerequisites for the effective use of imaging biomarkers, which are standardization and validation.

Standardization

Standardization concerns the acquisition parameters for imaging and the post-processing methods. It is an essential step to ensure reproducibility across different centres and machines. Several consensus conferences have been held on standardization of perfusion MRI [12, 13] and diffusion MRI [14]. As the imaging and quantification methods are evolving, further update conferences are needed.

Validation

The sensitivity, specificity, precision, and reproducibility of new biomarkers have to be rigorously tested [15]. The tests should be conducted in phantoms, animals and humans [16]. The changes in biomarker values should be correlated to the biological effect and clinical endpoints (qualification). The validation requirements are much higher for surrogate endpoints than for pharmacodynamic biomarkers. Qualification as surrogate endpoints requires significant resources and will, in many cases, only be possible in a concerted effort of academia, industry and regulatory authorities, as proposed for example by the Biomarkers Consortium (http://www.biomarkersconsortium.org), a public-private partnership managed by the Foundation for the National Institutes of Health in the USA.

Types of biomarkers

Anatomical, functional and molecular characteristics can be used as imaging biomarkers. In cancer treatment, CT (or MRI) measurements of changes of tumor volume are based on the “Response evaluation Criteria in Solid Tumours” (RECIST) criteria [17]. These anatomical biomarkers are the only imaging surrogate endpoints that are accepted in cancer treatment. However, these anatomical biomarkers are suboptimal to assess the effect of some targeted treatments that do not cause regression of tumor volume, but rather increase in the extent of tumor necrosis [18]. A lot of functional biomarkers obtained with several imaging methods, including PET, contrast-enhanced CT, perfusion CT and MRI, diffusion-weighted MRI, MR elastography and spectroscopy, have the potential to complement or even replace the RECIST criteria. However, important efforts of qualification and standardization remain to be done before the acceptance of some of these functional biomarkers as surrogate endpoints. 18F-FDG-PET may serve as an illustrative example. In clinical routine, 18F-FDG-PET is increasingly used to assess the response to treatment in tumor patients. However, 18F-FDG-PET as an imaging biomarker has not yet been sufficiently validated to be accepted as a surrogate endpoint for clinical studies by regulatory agencies. Currently, a multi-centre qualification study of 18F-FDG-PET/CT as a predictive marker of tumor response and patient outcome in patients with non-small cell lung cancer has been initiated by the American College of Radiology Imaging Network (ACRIN). Functional imaging biomarkers are increasingly used as pharmacodynamic biomarkers. Relative to molecular imaging biomarkers, which are target-specific, functional imaging biomarkers have the advantage of being downstream markers that probe general capabilities of disease, including cell death, proliferation, glycolysis, hypoxia, tumor invasiveness, angiogenesis, inflammation and fibrosis. Although a lot of functional imaging biomarkers have been proposed as pharmacodynamic biomarkers in early drug development, most of these biomarkers need further validation and standardization for their qualification in phase 1 and 2 human studies.

Proposed actions

The working group on imaging biomarkers recommends the creation of a European Network on Imaging Biomarkers (ENIB) under the umbrella of the European Institute for Biomedical Imaging research (EIBIR) and the European Society of Radiology (ESR) to coordinate, conduct and stimulate research and education about the development, standardization, validation, and qualification of imaging biomarkers at the European level. Extensive and comprehensive research in this field is often beyond the means of individual research groups and can best be accomplished through the multidisciplinary, multinational efforts of scientists. The cooperation of radiologists, nuclear medicine specialists, clinicians, and basic scientists in physics, biology, pathology, bioengineering, and mathematics is needed. The main tasks of ENIB will be: To coordinate the development of new biomarkers, especially biomarkers that probe hallmarks of diseases such as cell death, proliferation, glycolysis, hypoxia, tumor invasiveness, angiogenesis, inflammation and fibrosis. To provide standardization of the acquisition parameters for imaging and of the quantitative post-processing methods. To provide multi-centre validation and qualification of pharmacodynamic imaging biomarkers and surrogate endpoints. To stimulate comparative efficacy assessment between imaging biomarkers and other biomarkers, including histochemical and soluble biomarkers. To provide education about imaging biomarkers, including the creation of research fellowships programs in quantitative imaging and biomarkers. The European Network on Imaging Biomarkers will work in cooperation with industry (pharmaceutical and medical device companies), European regulatory agencies (EMEA) [19], and international medical societies, including ECCO, EORTC, RSNA, EANM, ISMRM, ESMRMB and the subspeciality societies of the ESR for biomarker standardization, validation and qualification. The main purpose of ENIB will be to boost at the European level the development and use of qualified imaging biomarkers that will help in diagnosis, treatment assessment and drug development.
  18 in total

Review 1.  The hallmarks of cancer.

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Review 3.  Phases of biomarker development for early detection of cancer.

Authors:  M S Pepe; R Etzioni; Z Feng; J D Potter; M L Thompson; M Thornquist; M Winget; Y Yasui
Journal:  J Natl Cancer Inst       Date:  2001-07-18       Impact factor: 13.506

Review 4.  The drug development process: from target discovery to the clinic.

Authors:  David R Newell
Journal:  Clin Med (Lond)       Date:  2003 Jul-Aug       Impact factor: 2.659

5.  Liver fibrosis: challenges of the new era.

Authors:  Rebecca G Wells
Journal:  Gastroenterology       Date:  2008-12-25       Impact factor: 22.682

Review 6.  New science-based endpoints to accelerate oncology drug development.

Authors:  Gary J Kelloff; Caroline C Sigman
Journal:  Eur J Cancer       Date:  2005-01-22       Impact factor: 9.162

Review 7.  Biomarkers in abdominal imaging.

Authors:  Bernard E Van Beers; Valérie Vilgrain
Journal:  Abdom Imaging       Date:  2008-12-02

8.  Validation of novel imaging methodologies for use as cancer clinical trial end-points.

Authors:  D J Sargent; L Rubinstein; L Schwartz; J E Dancey; C Gatsonis; L E Dodd; L K Shankar
Journal:  Eur J Cancer       Date:  2008-12-16       Impact factor: 9.162

Review 9.  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

10.  The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations.

Authors:  M O Leach; K M Brindle; J L Evelhoch; J R Griffiths; M R Horsman; A Jackson; G C Jayson; I R Judson; M V Knopp; R J Maxwell; D McIntyre; A R Padhani; P Price; R Rathbone; G J Rustin; P S Tofts; G M Tozer; W Vennart; J C Waterton; S R Williams; P Workman
Journal:  Br J Cancer       Date:  2005-05-09       Impact factor: 7.640

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Review 3.  Imaging for Response Assessment in Cancer Clinical Trials.

Authors:  Anna G Sorace; Asser A Elkassem; Samuel J Galgano; Suzanne E Lapi; Benjamin M Larimer; Savannah C Partridge; C Chad Quarles; Kirsten Reeves; Tiara S Napier; Patrick N Song; Thomas E Yankeelov; Stefanie Woodard; Andrew D Smith
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4.  Apparent diffusion coefficient mapping using diffusion-weighted MRI: impact of background parenchymal enhancement, amount of fibroglandular tissue and menopausal status on breast cancer diagnosis.

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Review 5.  Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.

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Review 6.  Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.

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Review 7.  Imaging biomarkers in acute ischemic stroke trials: a systematic review.

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Review 8.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

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