Literature DB >> 25209149

Toward operative in vivo fluorescence imaging of the c-Met proto-oncogene for personalization of therapy in ovarian cancer.

Shujuan Liu1, Yong Zheng, Davide Volpi, Muna El-Kasti, Daniel Klotz, Iain Tullis, Andrea Henricks, Leticia Campo, Kevin Myers, Alex Laios, Peter Thomas, Tony Ng, Sunanda Dhar, Christian Becker, Borivoj Vojnovic, Ahmed Ashour Ahmed.   

Abstract

BACKGROUND: Standard biomarker testing of a single macroscopic disease site is unlikely to be sufficient because of tumor heterogeneity. A focus on examining global biomarker expression or activity, particularly in microscopic residual chemotherapy-resistant disease, is needed for the appropriate selection of targeted therapies. This study was aimed at establishing a technique for the assessment of biomarkers of ovarian cancer peritoneal spread.
METHODS: An in-house developed fluorescent imaging device was used to detect the expression of the c-Met oncogene in ovarian cancer. A modified cyanine 5-tagged peptide, GE137, with a high in vitro affinity for the human c-Met protein, was tested in a panel of ovarian cancer cell lines. Finally, the feasibility of detecting submillimeter ovarian cancer cell peritoneal metastases in vivo was tested through the intravenous injection of GE137 into mice with tumor xenografts.
RESULTS: Using optical imaging it was possible to detect c-Met expression in submillimeter peritoneal metastases that were freshly excised from a human high-grade serous ovarian cancer. GE137 selectively bound to the c-Met tyrosine kinase without activating survival signaling pathways (AKT or extracellular signal-regulated kinase phosphorylation) downstream of c-Met. GE137 specifically accumulated in SKOv3 ovarian cancer cells expressing c-Met via clathrin-mediated endocytosis and emitted a fluorescent signal that lasted for at least 8 hours in tumor xenografts in vivo with a sustained high signal-to-noise ratio.
CONCLUSIONS: Our results suggest that intraoperative optical imaging could provide a new paradigm for selecting cancer patients for appropriate targeted therapies, particularly after initial chemotherapy.
© 2014 American Cancer Society.

Entities:  

Keywords:  c-Met; fluorescence imaging; minimal residual disease; operative imaging; optical imaging; ovarian cancer; personalized medicine; targeted therapy

Mesh:

Substances:

Year:  2014        PMID: 25209149     DOI: 10.1002/cncr.29029

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  6 in total

1.  Electrically tunable fluidic lens imaging system for laparoscopic fluorescence-guided surgery.

Authors:  Davide Volpi; Iain D C Tullis; Paul R Barber; Edyta M Augustyniak; Sean C Smart; Katherine A Vallis; Borivoj Vojnovic
Journal:  Biomed Opt Express       Date:  2017-06-13       Impact factor: 3.562

Review 2.  Analysis of progress and challenges for various patterns of c-MET-targeted molecular imaging: a systematic review.

Authors:  Zhaoguo Han; Yongyi Wu; Kai Wang; Yadi Xiao; Zhen Cheng; Xilin Sun; Baozhong Shen
Journal:  EJNMMI Res       Date:  2017-05-08       Impact factor: 3.138

3.  Indocyanine green fluorescence-guided intraoperative detection of peritoneal carcinomatosis: systematic review.

Authors:  Gian Luca Baiocchi; Federico Gheza; Sarah Molfino; Luca Arru; Marco Vaira; Simone Giacopuzzi
Journal:  BMC Surg       Date:  2020-07-17       Impact factor: 2.102

4.  Optical Imaging of Mesenchymal Epithelial Transition Factor (MET) for Enhanced Detection and Characterization of Primary and Metastatic Hepatic Tumors.

Authors:  Shadi A Esfahani; Pedram Heidari; Sun A Kim; Shuji Ogino; Umar Mahmood
Journal:  Theranostics       Date:  2016-09-09       Impact factor: 11.556

Review 5.  Overcoming PARP inhibitor resistance in ovarian cancer: what are the most promising strategies?

Authors:  Daniel Martin Klotz; Pauline Wimberger
Journal:  Arch Gynecol Obstet       Date:  2020-08-24       Impact factor: 2.344

6.  The levels of soluble cMET ectodomain in the blood of patients with ovarian cancer are an independent prognostic biomarker.

Authors:  Daniel Martin Klotz; Theresa Link; Maren Goeckenjan; Pauline Wimberger; Jan Dominik Kuhlmann
Journal:  Mol Oncol       Date:  2021-04-07       Impact factor: 6.603

  6 in total

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