Noninvasive prediction of tumor responses to gemcitabine using positron emission tomography.

Gemcitabine (2',2'-difluorodeoxycytidine, dFdC) and cytosine arabinoside (cytarabine, ara-C) represent a class of nucleoside analogs used in cancer chemotherapy. Administered as prodrugs, dFdC and ara-C are transported across cell membranes and are converted to cytotoxic derivatives through consecutive phosphorylation steps catalyzed by endogenous nucleoside kinases. Deoxycytidine kinase (DCK) controls the rate-limiting step in the activation cascade of dFdC and ara-C. DCK activity varies significantly among individuals and across different tumor types and is a critical determinant of tumor responses to these prodrugs. Current assays to measure DCK expression and activity require biopsy samples and are prone to sampling errors. Noninvasive methods that can detect DCK activity in tumor lesions throughout the body could circumvent these limitations. Here, we demonstrate an approach to detecting DCK activity in vivo by using positron emission tomography (PET) and (18)F-labeled 1-(2'-deoxy-2'-fluoroarabinofuranosyl) cytosine] ([(18)F]FAC), a PET probe recently developed by our group. We show that [(18)F]FAC is a DCK substrate with an affinity similar to that of dFdC. In vitro, accumulation of [(18)F]FAC in murine and human leukemia cell lines is critically dependent on DCK activity and correlates with dFdC sensitivity. In mice, [(18)F]FAC accumulates selectively in DCK-positive vs. DCK-negative tumors, and [(18)F]FAC microPET scans can predict responses to dFdC. We suggest that [(18)F]FAC PET might be useful for guiding treatment decisions in certain cancers by enabling individualized chemotherapy.

The role and impact of SNPs in pharmacogenomics and personalized medicine.

Over 10 million SNPs have been discovered to date as the result of both a private and public effort in the past two decades. Extensive investigations on SNPs have been performed to assess clinical applications for pharmacogenomics and Personalized Medicine. Recently, around the 10(th) anniversary of the first publication by the Human Genome Project, Hamburg and Collins addressed questions regarding the progress of the genomics field and its impact on pharmacogenomics / Personalized Medicine. Similar questions remain around the potential link of SNPs to Personalized Medicine applications, and the extent to which they have impacted "real world" clinical practices. Built upon these previous efforts, and to achieve our objectives of describing and assessing the role of SNPs and their impact on Personalized Medicine, this article analyzes and summarizes the clinical relevance, molecular mechanisms, clinical evidence, and preliminary regulatory and clinical guideline information of relevant SNPs. In addition, it focuses on two applications directly related to Personalized Medicine drug therapeutics: predictive biomarkers for patient stratification and dose selection. In summary, this article attempts to provide a general and comprehensive view of the role of SNPs in pharmacogenomics and Personalized Medicine, as well as a practical view of their impact on clinical practice today.

Metabolic imaging allows early prediction of response to vandetanib.

UNLABELLED: The RET (rearranged-during-transfection protein) protooncogene triggers multiple intracellular signaling cascades regulating cell cycle progression and cellular metabolism. We therefore hypothesized that metabolic imaging could allow noninvasive detection of response to the RET inhibitor vandetanib in vivo. METHODS: The effects of vandetanib treatment on the full-genome expression and the metabolic profile were analyzed in the human medullary thyroid cancer cell line TT. In vitro, transcriptional changes of pathways regulating cell cycle progression and glucose, dopa, and thymidine metabolism were correlated to the results of cell cycle analysis and the uptake of (3)H-deoxyglucose, (3)H-3,4-dihydroxy-L-phenylalanine, and (3)H-thymidine under vandetanib treatment. In vivo, the tumor metabolism under vandetanib was monitored by small-animal PET of tumor-bearing mice. RESULTS: Vandetanib treatment resulted in the transcriptional downregulation of various effector pathways with consecutive downregulation of cyclin expression and a G(0)/G(1) arrest. In vitro, vandetanib treatment resulted in the decreased expression of genes regulating glucose, 3,4-dihydroxy-L-phenylalanine, and thymidine metabolism, with a subsequent reduction in the functional activity of the corresponding pathways. In vivo, metabolic imaging with PET was able to assess changes in the tumoral glucose metabolism profile as early as 3 d after initiation of vandetanib treatment. CONCLUSION: We describe a metabolic imaging approach for the noninvasive detection of successful vandetanib treatment. Our results suggest that PET may be useful for identifying patients who respond to vandetanib early in the course of treatment.

Visualizing cancer and immune cell function with metabolic positron emission tomography.

Cancer cells and immune cells modulate their metabolism according to specific needs during cancer progression and immune responses. The ability to measure cellular metabolic function in vivo would enable the evaluation of tumors and their response to therapy and also the effectiveness of cellular immune responses to cancer. Positron emission tomography (PET) is a highly sensitive clinical imaging modality that enables whole-body, quantitative measurements of tissue biochemical function. Here, we review work using PET probes for specific metabolic pathways to measure cell function in cancer and immunity. We focus on the use of probes for glycolysis and nucleoside salvage and then discuss the development of new metabolic probes that visualize distinct parameters of cell function during disease.