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Molecular imaging agents: impact on diagnosis and therapeutics in oncology

Published online by Cambridge University Press:  15 July 2010

Marc E. Seaman
Affiliation:
Department of Biomedical Engineering, University of Virginia, Box 800759 Health System, Charlottesville, VA 22908, USA.
Gianmarco Contino
Affiliation:
Department of Medicine, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA 02114, USA.Division of General Surgery, European Institute of Oncology and University of Milan, Milan, Italy.
Nabeel Bardeesy
Affiliation:
Department of Medicine, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA 02114, USA.
Kimberly A. Kelly*
Affiliation:
Department of Biomedical Engineering, University of Virginia, Box 800759 Health System, Charlottesville, VA 22908, USA.
*
*Corresponding author: Kimberly A. Kelly, Department of Biomedical Engineering, University of Virginia, Box 800759 Health System, Charlottesville, VA 22908, USA. E-mail: kak3x@eservices.virginia.edu
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Abstract

Imaging has become a crucial tool in oncology throughout the course of disease detection and management, and is an integral part of clinical trials. Anatomical and functional imaging led the way, providing valuable information used in the diagnosis of disease, including data regarding the size and location of the tumour and on physiological processes such as blood flow and perfusion. As understanding of cancer pathogenesis has advanced through the identification of genetic, biochemical and cellular alterations in evolving tumours, emphasis has been put on developing methods to detect and serially monitor such alterations. This class of approaches is referred to as molecular imaging. Molecular imaging offers the potential for increasingly sensitive and specific visualisation and quantification of biological processes at the cellular and molecular level. These approaches have become established as essential tools for cancer research, early cancer detection and staging, and monitoring and predicting response to targeted therapies. Here, we discuss recent advances in the development of molecular imaging agents and their implementation in basic cancer research as well as in more rationalised approaches to cancer care.

Information

Type
Review Article
Copyright
Copyright © Cambridge University Press 2010
Figure 0

Figure 1.Schematic representation of the three classes of imaging. Broad categories of applications are shown with a few examples from each category. Many applications, such as structures and flow, span more than one class of imaging. Adapted, with permission, from Ref. 88 (© 2008 by Informa Healthcare USA, Inc.).

Figure 1

Table 1.Functional and molecular imaging probes discussed in this review, organised by imaging modality

Figure 2

Figure 2.Colonic tumour visualisation via fluorescence endoscopy. (a) Endoscopy of mice with orthotopically implanted colon tumours. A targeting peptide was previously identified through a phage- display screen against HT29 colon carcinoma cells (Ref. 49). After 1 h, the targeted peptide (RPMC-FITC) fluorescence signal (a, top right) is much higher than control near-infrared signal (a, bottom right). (a, top and bottom left) Light endoscopy images; notice that polyps are not as easily detected via light endoscopy compared with fluorescence endoscopy. The dotted line demarcates colonic lesions from normal colon tissue. Reproduced and adapted with permission from the American Association for Cancer Research: Ref. 50 (© 2004). (b) In vivo confocal fluorescence endoscopy in human patients showing targeted peptide binding (bright signal) to dysplastic colonocytes, but weak binding to adjacent normal mucosa (weak to no signal). Reprinted by permission from Macmillan Publishers Ltd: Nature Medicine (http://www.nature.com/nm/index.html) (Ref. 51), © 2008. FITC, fluorescein isothiocyanate; RPMC, peptide sequence.

Figure 3

Figure 3.In vivo detection of breast tumours. (left) 111In-labelled scrambled peptide against ErbB2-expressing MDA-MB-435 breast tumour; (right) 111In-labelled ErbB2-targeted peptide. SPECT images were fused with conventional microCT images for spatial validation. Note the effective labelling of the tumour with targeted peptide, but absence of accumulation when scrambled peptide is injected. Imaging was performed 2 h after injection of labelled probes. Reproduced and adapted with permission from the American Association for Cancer Research: Ref. 59. (© 2007). Abbreviations: CT, computed tomography; ErbB2, v-erb-b2 erythroblastic leukaemia viral oncogene homologue 2 (also known as human epidermal growth factor 2; HER2/neu); SPECT, single-photon emission computed tomography.

Figure 4

Figure 4.Visualisation of pancreatic lesions via targeted nanoparticles. (a) Intravital confocal microscopy of targeted nanoparticles (Cy5.5) to pancreatic lesions. (b) Merge of targeted nanoparticles (Cy5.5, red) and blood-pool agent (AF-750, blue). (c) Intravital low-magnification view of targeted nanoparticle (FITC, green) on a larger section of the pancreas. The development and in vivo visualisation of targeted nanoparticles to pancreatic tumours allows noninvasive diagnoses. Adapted from Ref. 63. Abbreviations: FITC, fluorescein isothiocyanate; NP, nanoparticle(s).

Figure 5

Figure 5.Monitoring therapeutic efficacy with [18F]FDG-PET–CT. (a) CT (top) and PET (bottom) scans of PIK3CA H1047R–CCSP-rtTA double transgenic mice treated with doxycycline until tumours developed (before) then treated with NVP-BEZ235 for 4 days (after). In this animal model, tumours develop from expression of mutant PIK3CA (H1047R) in type II endothelial cells. Expression of mutant PI3KCA is turned on by ingestion of doxcycline. Red arrows indicate the tumour, and the heart is indicated by ‘H’. A marked reduction in tumour size is seen after just 4 days of NVP-BEZ235 treatment. (b) Tet-op-Kras mice developed tumours (before). The tet-op-Kras model is similar to the model described in part (a). Tumours develop due to mutant KRAS (G12D) expression induced by ingestion of doxycycline. Treatment with NVP-BEZ235 for 2 weeks produced no substantial shrinkage (after). Therapeutic response to NVP-BEZ235, measured by [18F]FDG-PET–CT, differs in the two induced tumors (PI3KCA- and KRAS-induced), providing an example of how PET–CT imaging might be used in a personalised treatment regimen. Reprinted by permission from Macmillan Publishers Ltd: Nature Medicine (http://www.nature.com/nm/index.html) (Ref. 77), © 2008. Abbreviations: CT, computed tomography; [18F]FDG, [18F]fluorodeoxyglucose; KRAS, v-Ki-ras2 Kirsten rat sarcoma viral oncogene homologue; PET, positron emission tomography; PIK3CA, phosphoinositide 3-kinase, catalytic, α polypeptide.

Figure 6

Figure 6.Use of [18F]FLT-PET to predict response to therapy. In lung cancer patients, FLT uptake is substantially decreased 7 days after initiation of gefitinib treatment in responders compared with nonresponders. (a) By day 7, marked decreases in FLT uptake are seen in responding patients. Subsequent CT image taken 6 weeks after initiation of gefitinib treatment shows tumour size is markedly decreased. (b) Nonresponder shows no visible change in FLT uptake, and CT images taken 6 weeks after treatment initiation confirm nonresponder status. Reproduced and adapted with permission from the American Association for Cancer Research: Ref. 80 (© 2008). Abbreviations: CT, computed tomography; FLT, 3′-deoxy-3′-[18F]fluorothymidine; PET, positron emission tomography.