Literature DB >> 21541433

The challenges of integrating molecular imaging into the optimization of cancer therapy.

G S Patel1, T Kiuchi, K Lawler, E Ofo, G O Fruhwirth, M Kelleher, E Shamil, R Zhang, P R Selvin, G Santis, J Spicer, N Woodman, C E Gillett, P R Barber, B Vojnovic, G Kéri, T Schaeffter, V Goh, M J O'Doherty, P A Ellis, T Ng.   

Abstract

We review novel, in vivo and tissue-based imaging technologies that monitor and optimize cancer therapeutics. Recent advances in cancer treatment centre around the development of targeted therapies and personalisation of treatment regimes to individual tumour characteristics. However, clinical outcomes have not improved as expected. Further development of the use of molecular imaging to predict or assess treatment response must address spatial heterogeneity of cancer within the body. A combination of different imaging modalities should be used to relate the effect of the drug to dosing regimen or effective drug concentration at the local site of action. Molecular imaging provides a functional and dynamic read-out of cancer therapeutics, from nanometre to whole body scale. At the whole body scale, an increase in the sensitivity and specificity of the imaging probe is required to localise (micro)metastatic foci and/or residual disease that are currently below the limit of detection. The use of image-guided endoscopic biopsy can produce tumour cells or tissues for nanoscopic analysis in a relatively patient-compliant manner, thereby linking clinical imaging to a more precise assessment of molecular mechanisms. This multimodality imaging approach (in combination with genetics/genomic information) could be used to bridge the gap between our knowledge of mechanisms underlying the processes of metastasis, tumour dormancy and routine clinical practice. Treatment regimes could therefore be individually tailored both at diagnosis and throughout treatment, through monitoring of drug pharmacodynamics providing an early read-out of response or resistance. This journal is © The Royal Society of Chemistry 2011

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Year:  2011        PMID: 21541433     DOI: 10.1039/c0ib00131g

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  6 in total

Review 1.  The use of molecular imaging combined with genomic techniques to understand the heterogeneity in cancer metastasis.

Authors:  R Chowdhury; B Ganeshan; S Irshad; K Lawler; M Eisenblätter; H Milewicz; M Rodriguez-Justo; K Miles; P Ellis; A Groves; S Punwani; T Ng
Journal:  Br J Radiol       Date:  2014-03-06       Impact factor: 3.039

Review 2.  Single molecule fluorescence detection and tracking in mammalian cells: the state-of-the-art and future perspectives.

Authors:  Marisa L Martin-Fernandez; David T Clarke
Journal:  Int J Mol Sci       Date:  2012-11-13       Impact factor: 5.923

3.  The Gray Institute 'open' high-content, fluorescence lifetime microscopes.

Authors:  P R Barber; I D C Tullis; G P Pierce; R G Newman; J Prentice; M I Rowley; D R Matthews; S M Ameer-Beg; B Vojnovic
Journal:  J Microsc       Date:  2013-06-12       Impact factor: 1.758

Review 4.  Personalized treatment for advanced colorectal cancer: KRAS and beyond.

Authors:  Gargi Surendra Patel; Christos S Karapetis
Journal:  Cancer Manag Res       Date:  2013-11-21       Impact factor: 3.989

5.  C2c: turning cancer into chronic disease.

Authors:  Stephan Beck; Tony Ng
Journal:  Genome Med       Date:  2014-05-28       Impact factor: 11.117

6.  HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status.

Authors:  Gregory Weitsman; Paul R Barber; Lan K Nguyen; Katherine Lawler; Gargi Patel; Natalie Woodman; Muireann T Kelleher; Sarah E Pinder; Mark Rowley; Paul A Ellis; Anand D Purushotham; Anthonius C Coolen; Boris N Kholodenko; Borivoj Vojnovic; Cheryl Gillett; Tony Ng
Journal:  Oncotarget       Date:  2016-08-09
  6 in total

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