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Title: Molecular imaging to guide systemic cancer therapy: Illustrative examples of PET imaging cancer biomarkers

Journal Article · · Cancer Letters
ORCiD logo [1];  [1]
  1. Univ. of Pennsylvania, Philadelphia, PA (United States). Perelman School of Medicine, Dept. of Radiology and Division of Nuclear Medicine and Molecular Imaging

Molecular imaging agents have the ability to non-invasively visualize, characterize, and quantify the molecular biology of disease. Recent advances in nuclear probe development, particularly in PET radiotracers, have generated many new imaging agents with precise molecular targets. With such specificity, PET probes may be utilized as biomarkers to objectively interrogate and evaluate pathology. Whereas the current indications for PET imaging are predominately confined to staging and restaging of malignancy, the utility of PET greatly expands when utilized as a biomarker, the topic of this review. As an imaging biomarker, PET may be used to (1) measure target expression to select subsets of patients who would most benefit from targeted therapy; (2) measure early treatment response to predict therapeutic efficacy; and (3) relate tumor response to survival. This work will discuss the application of radiotracers to targeted cancer therapy. Particular attention is given to new radiotracers evaluated in recently completed clinical trials and those with current or potential clinical utility. The diverse roles of PET in clinical trails for drug development are also examined.

Research Organization:
Univ. of Pennsylvania, Philadelphia, PA (United States)
Sponsoring Organization:
USDOE; Susan G. Komen Foundation; National Institutes of Health (NIH)
Grant/Contract Number:
SC0012476; AC140060; U01-CA19025; U01-CA148131
OSTI ID:
1462353
Alternate ID(s):
OSTI ID: 1414471
Journal Information:
Cancer Letters, Vol. 387, Issue C; ISSN 0304-3835
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 15 works
Citation information provided by
Web of Science

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