Literature DB >> 28033451

Making Molecular Imaging a Clinical Tool for Precision Oncology: A Review.

David A Mankoff1, Michael D Farwell1, Amy S Clark2, Daniel A Pryma1.   

Abstract

IMPORTANCE: Individualized cancer treatment, tailored to a particular patient and the tumor's biological features (precision oncology), requires a detailed knowledge of tumor biology. Biological characterization is typically performed on biopsy material, but this approach can present challenges for widespread and/or heterogeneous disease and for performing serial assays to infer changes in response to therapy. Molecular imaging is a complementary approach that provides noninvasive and quantitative measures of the in vivo biology of the full disease burden and is well suited to serial assay. OBSERVATIONS: Molecular imaging can provide unique information to guide precision oncology that includes measuring the regional expression of therapeutic targets, measuring drug pharmacokinetics, measuring therapy pharmacodynamics, and providing a marker of therapeutic efficacy that is highly indicative of outcome. Thus far, most trials of novel molecular imaging in oncology have been small, single-center trials. Only a few methods have progressed to multicenter trials and even fewer have become part of clinical practice. CONCLUSIONS AND RELEVANCE: Molecular imaging holds great promise for precision oncology, complementing tissue-based markers to guide more effective, less toxic, and more cost-effective cancer treatments. Beyond logistical and technical challenges, moving new imaging tests from the laboratory to the clinic requires a compelling use case that will benefit patients and/or improve cost-effectiveness, and it requires the collaboration of imagers, oncologists, and industry to reach its true clinical potential.

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Year:  2017        PMID: 28033451     DOI: 10.1001/jamaoncol.2016.5084

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  21 in total

1.  Functional Genetic Screening Enables Theranostic Molecular Imaging in Cancer.

Authors:  Nicholas R Perkons; Omar Johnson; Gabrielle Pilla; Enri Profka; Michael Mercadante; Daniel Ackerman; Terence P F Gade
Journal:  Clin Cancer Res       Date:  2020-06-04       Impact factor: 12.531

Review 2.  Future cancer research priorities in the USA: a Lancet Oncology Commission.

Authors:  Elizabeth M Jaffee; Chi Van Dang; David B Agus; Brian M Alexander; Kenneth C Anderson; Alan Ashworth; Anna D Barker; Roshan Bastani; Sangeeta Bhatia; Jeffrey A Bluestone; Otis Brawley; Atul J Butte; Daniel G Coit; Nancy E Davidson; Mark Davis; Ronald A DePinho; Robert B Diasio; Giulio Draetta; A Lindsay Frazier; Andrew Futreal; Sam S Gambhir; Patricia A Ganz; Levi Garraway; Stanton Gerson; Sumit Gupta; James Heath; Ruth I Hoffman; Cliff Hudis; Chanita Hughes-Halbert; Ramy Ibrahim; Hossein Jadvar; Brian Kavanagh; Rick Kittles; Quynh-Thu Le; Scott M Lippman; David Mankoff; Elaine R Mardis; Deborah K Mayer; Kelly McMasters; Neal J Meropol; Beverly Mitchell; Peter Naredi; Dean Ornish; Timothy M Pawlik; Jeffrey Peppercorn; Martin G Pomper; Derek Raghavan; Christine Ritchie; Sally W Schwarz; Richard Sullivan; Richard Wahl; Jedd D Wolchok; Sandra L Wong; Alfred Yung
Journal:  Lancet Oncol       Date:  2017-10-31       Impact factor: 41.316

3.  High-Resolution Depth-Encoding PET Detector Module with Prismatoid Light-Guide Array.

Authors:  Andy LaBella; Xinjie Cao; Eric Petersen; Rick Lubinsky; Anat Biegon; Wei Zhao; Amir H Goldan
Journal:  J Nucl Med       Date:  2020-02-28       Impact factor: 10.057

4.  Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging.

Authors:  Stephen R Bowen; Daniel S Hippe; W Art Chaovalitwongse; Chunyan Duan; Phawis Thammasorn; Xiao Liu; Robert S Miyaoka; Hubert J Vesselle; Paul E Kinahan; Ramesh Rengan; Jing Zeng
Journal:  Clin Cancer Res       Date:  2019-05-29       Impact factor: 12.531

5.  Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy.

Authors:  Jia Wu; Guohong Cao; Xiaoli Sun; Juheon Lee; Daniel L Rubin; Sandy Napel; Allison W Kurian; Bruce L Daniel; Ruijiang Li
Journal:  Radiology       Date:  2018-05-01       Impact factor: 11.105

6.  Evaluation of COC183B2 antibody targeting ovarian cancer by near-infrared fluorescence imaging.

Authors:  Chen Zhang; Xinyu Ling; Yanxiu Guo; Cunzhong Yuan; Hongyan Cheng; Xue Ye; Ruiqiong Ma; Yinli Zhang; Yi Li; Xiaohong Chang; Beihua Kong; Tao Liu; Heng Cui
Journal:  Chin J Cancer Res       Date:  2019-08       Impact factor: 5.087

7.  Kinetic Modeling of 18F-(2S,4R)4-Fluoroglutamine in Mouse Models of Breast Cancer to Estimate Glutamine Pool Size as an Indicator of Tumor Glutamine Metabolism.

Authors:  Varsha Viswanath; Rong Zhou; Hsiaoju Lee; Shihong Li; Abigail Cragin; Robert K Doot; David A Mankoff; Austin R Pantel
Journal:  J Nucl Med       Date:  2020-12-04       Impact factor: 10.057

Review 8.  Nanobodies for Medical Imaging: About Ready for Prime Time?

Authors:  Léa Berland; Lauren Kim; Omar Abousaway; Andrea Mines; Shruti Mishra; Louise Clark; Paul Hofman; Mohammad Rashidian
Journal:  Biomolecules       Date:  2021-04-26

9.  Quantitative PET in the 2020s: a roadmap.

Authors:  Steven R Meikle; Vesna Sossi; Emilie Roncali; Simon R Cherry; Richard Banati; David Mankoff; Terry Jones; Michelle James; Julie Sutcliffe; Jinsong Ouyang; Yoann Petibon; Chao Ma; Georges El Fakhri; Suleman Surti; Joel S Karp; Ramsey D Badawi; Taiga Yamaya; Go Akamatsu; Georg Schramm; Ahmadreza Rezaei; Johan Nuyts; Roger Fulton; André Kyme; Cristina Lois; Hasan Sari; Julie Price; Ronald Boellaard; Robert Jeraj; Dale L Bailey; Enid Eslick; Kathy P Willowson; Joyita Dutta
Journal:  Phys Med Biol       Date:  2021-03-12       Impact factor: 4.174

Review 10.  Molecular Imaging, How Close to Clinical Precision Medicine in Lung, Brain, Prostate and Breast Cancers.

Authors:  Zhaoguo Han; Mingxing Ke; Xiang Liu; Jing Wang; Zhengqi Guan; Lina Qiao; Zhexi Wu; Yingying Sun; Xilin Sun
Journal:  Mol Imaging Biol       Date:  2021-07-16       Impact factor: 3.488

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