Disease-Specific target gene Expression Profiling of molecular imaging probes: Database development and clinical validation

Wing Chi Chan, Connie Hiu Ching Ngo, Fengfeng Wang, Moss Y. Zhao, Mengying Zhao, Ka Wai Helen Law, Sze Chuen Cesar Wong, Yat Ming Yung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


Molecular imaging probes can target abnormal gene expression patterns in patients and allow early diagnosis of disease. For selecting a suitable imaging probe, the current Molecular Imaging and Contrast Agent Database (MICAD) provides descriptive and qualitative information on imaging probe characteristics and properties. However, MICAD does not support linkage with the expression profiles of target genes. The proposed Disease-specific Imaging Probe Profiling (DIPP) database quantitatively archives and presents the gene expression profiles of targets across different diseases, anatomic regions, and subcellular locations, providing an objective reference for selecting imaging probes. The DIPP database was validated with a clinical positron emission tomography (PET) study on lung cancer and an in vitro study on neuroendocrine cancer. The retrieved records show that choline kinase beta and glucose transporters were positively and significantly associated with lung cancer among the targets of11C-choline and [18F]fluoro-2-deoxy-2-D-glucose (FDG), respectively. Their significant overexpressions corresponded to the findings that the uptake rate of FDG increased with tumor size but that of11C-choline remained constant. Validated with the in vitro study, the expression profiles of disease-associated targets can indicate the eligibility of patients for clinical trials of the treatment probe. A Web search tool of the DIPP database is available at http://www.polyu.edu.hk/bmi/dipp/.
Original languageEnglish
JournalMolecular Imaging
Issue number6
Publication statusPublished - 1 Jan 2014

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Medicine
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics


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