Literature DB >> 26049702

How Imaging Can Impact Clinical Trial Design: Molecular Imaging as a Biomarker for Targeted Cancer Therapy.

David A Mankoff1, Michael D Farwell, Amy S Clark, Daniel A Pryma.   

Abstract

The ability to measure biochemical and molecular processes to guide cancer treatment represents a potentially powerful tool for trials of targeted cancer therapy. These assays have traditionally been performed by analysis of tissue samples. However, more recently, functional and molecular imaging has been developed that is capable of in vivo assays of cancer biochemistry and molecular biology and is highly complementary to tissue-based assays. Cancer imaging biomarkers can play a key role in increasing the efficacy and efficiency of therapeutic clinical trials and also provide insight into the biologic mechanisms that bring about a therapeutic response. Future progress will depend on close collaboration between imaging scientists and cancer physicians and on public and commercial sponsors, to take full advantage of what imaging has to offer for clinical trials of targeted cancer therapy. This review will provide examples of how molecular imaging can inform targeted cancer clinical trials and clinical decision making by (1) measuring regional expression of the therapeutic target, (2) assessing early (pharmacodynamic) response to treatment, and (3) predicting therapeutic outcome. The review includes a discussion of basic principles of molecular imaging biomarkers in cancer, with an emphasis on those methods that have been tested in patients. We then review clinical trials designed to evaluate imaging tests as integrated markers embedded in a therapeutic clinical trial with the goal of validating the imaging tests as integral markers that can aid patient selection and direct response-adapted treatment strategies. Examples of recently completed multicenter trials using imaging biomarkers are highlighted.

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Year:  2015        PMID: 26049702     DOI: 10.1097/PPO.0000000000000116

Source DB:  PubMed          Journal:  Cancer J        ISSN: 1528-9117            Impact factor:   3.360


  6 in total

1.  Fc-Mediated Anomalous Biodistribution of Therapeutic Antibodies in Immunodeficient Mouse Models.

Authors:  Sai Kiran Sharma; Andrew Chow; Sebastien Monette; Delphine Vivier; Jacob Pourat; Kimberly J Edwards; Thomas R Dilling; Dalya Abdel-Atti; Brian M Zeglis; John T Poirier; Jason S Lewis
Journal:  Cancer Res       Date:  2018-01-23       Impact factor: 12.701

2.  Simulation study of quantitative precision of the PET/X dedicated breast PET scanner.

Authors:  Chengeng Zeng; Paul E Kinahan; Hua Qian; Robert L Harrison; Kyle M Champley; Lawrence R MacDonald
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-30

Review 3.  Development of Companion Diagnostics.

Authors:  David A Mankoff; Christine E Edmonds; Michael D Farwell; Daniel A Pryma
Journal:  Semin Nucl Med       Date:  2016-01       Impact factor: 4.446

4.  Pragmatic medicine in solid cancer: a translational alternative to precision medicine.

Authors:  Jan Brábek; Daniel Rosel; Michael Fernandes
Journal:  Onco Targets Ther       Date:  2016-04-05       Impact factor: 4.147

5.  Evaluation of Cross-Calibrated 68Ge/68Ga Phantoms for Assessing PET/CT Measurement Bias in Oncology Imaging for Single- and Multicenter Trials.

Authors:  Darrin W Byrd; Robert K Doot; Keith C Allberg; Lawrence R MacDonald; Wendy A McDougald; Brian F Elston; Hannah M Linden; Paul E Kinahan
Journal:  Tomography       Date:  2016-12

6.  Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits.

Authors:  Yuming Jiang; Qingyu Yuan; Wenbing Lv; Sujuan Xi; Weicai Huang; Zepang Sun; Hao Chen; Liying Zhao; Wei Liu; Yanfeng Hu; Lijun Lu; Jianhua Ma; Tuanjie Li; Jiang Yu; Quanshi Wang; Guoxin Li
Journal:  Theranostics       Date:  2018-11-12       Impact factor: 11.556

  6 in total

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