Palmer, S., Litvinova, K., Rafailov, E.U. and Nabi, G. (2015). Discrimination of healthy and cancer cells of the bladder by metabolic state, based on autofluorescence. IN: Photonic therapeutics and diagnostics XI. Choi, Bernard; Kollias, Nikiforos; Zeng, Haishan and et al (eds) Progress in biomedical optics and imaging . USA: SPIE.
Abstract
Bladder cancer is among the most common cancers worldwide (4th in men). It is responsible for high patient morbidity and displays rapid recurrence and progression. Lack of sensitivity of gold standard techniques (white light cystoscopy, voided urine cytology) means many early treatable cases are missed. The result is a large number of advanced cases of bladder cancer which require extensive treatment and monitoring. For this reason, bladder cancer is the single most expensive cancer to treat on a per patient basis. In recent years, autofluorescence spectroscopy has begun to shed light into disease research. Of particular interest in cancer research are the fluorescent metabolic cofactors NADH and FAD. Early in tumour development, cancer cells often undergo a metabolic shift (the Warburg effect) resulting in increased NADH. The ratio of NADH to FAD ("redox ratio") can therefore be used as an indicator of the metabolic status of cells. Redox ratio measurements have been used to differentiate between healthy and cancer breast cells and to monitor cellular responses to therapies. Here, we have demonstrated, using healthy and bladder cancer cell lines, a statistically significant difference in the redox ratio of bladder cancer cells, indicative of a metabolic shift. To do this we customised a standard flow cytometer to excite and record fluorescence specifically from NADH and FAD, along with a method for automatically calculating the redox ratio of individual cells within large populations. These results could inform the design of novel probes and screening systems for the early detection of bladder cancer.
Publication DOI: | https://doi.org/10.1117/12.2077218 |
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Divisions: | College of Engineering & Physical Sciences College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT) |
Additional Information: | S. Palmer ; K. Litvinova ; E. U. Rafailov and G. Nabi, "Discrimination of healthy and cancer cells of the bladder by metabolic state, based on autofluorescence", Proc. SPIE 9303, Photonic Therapeutics and Diagnostics XI, 93030T (February 26, 2015) Copyright 2015 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. DOI: http://dx.doi.org/10.1117/12.2077218 Funding: EU FP7 project ABLADE (Advanced Bladder cancer Diagnosis and Therapy) with further contribution from NHS and EPSRC. |
Event Title: | Photonic Therapeutics and Diagnostics XI |
Event Type: | Other |
Event Dates: | 2015-02-07 - 2015-02-08 |
Uncontrolled Keywords: | autofluorescence,bladder cancer,cytometry,metabolism,Redox ratio,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials,Biomaterials,Radiology Nuclear Medicine and imaging |
ISBN: | 978-1-2841393-9 |
Last Modified: | 02 Oct 2024 07:08 |
Date Deposited: | 28 Apr 2015 15:35 |
Full Text Link: |
http://proceedi ... ticleid=2174992 |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Conference contribution |
Published Date: | 2015-02-26 |
Authors: |
Palmer, S.
Litvinova, K. ( 0000-0003-1110-8589) Rafailov, E.U. ( 0000-0002-4152-0120) Nabi, G. |