Optical redox ratio and endogenous porphyrins in the detection of urinary bladder cancer: A patient biopsy analysis

Scott Palmer, Karina Litvinova, Andrey Dunaev, Ji Yubo, David McGloin, Ghulam Nabi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

Bladder cancer is among the most common cancers in the UK and conventional detection techniques suffer from low sensitivity, low specificity, or both. Recent attempts to address the disparity have led to progress in the field of autofluorescence as a means to diagnose the disease with high efficiency, however there is still a lot not known about autofluorescence profiles in the disease. The multi-functional diagnostic system “LAKK-M” was used to assess autofluorescence profiles of healthy and cancerous bladder tissue to identify novel biomarkers of the disease. Statistically significant differences were observed in the optical redox ratio (a measure of tissue metabolic activity), the amplitude of endogenous porphyrins and the NADH/porphyrin ratio between tissue types. These findings could advance understanding of bladder cancer and aid in the development of new techniques for detection and surveillance. (Figure presented.).

Original languageEnglish
Pages (from-to)1062-1073
Number of pages12
JournalJournal of Biophotonics
Volume10
Issue number8
DOIs
Publication statusPublished - Aug 2017

Bibliographical note

Funding Information:
This work was funded through the European Union 7th Framework Programme (EU FP7) project “ABLADE: Advanced bladder cancer diagnosis and therapy” (grant agreement number 324370), with studentship stipend contributions from the NHS and EPSRC (grant number EP/K503010/1). There was further financial contribution from the state task of the Ministry of Education and Science, Russian Federation, for the State University – Education-Science-Production complex (basic part, No 310). We acknowledge the contribution of the NHS urology theatre and surgical staff for their assistance with this study and the urology secretaries for assistance in identifying participants, and would also like to thank Professor Steve Hubbard, School of the environment, University of Dundee, for statistical analysis advice.

Publisher Copyright:
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

Data Availability Statement

Full datasets supporting this publication can be found at the following DOI: 10.15132/10000115.

Keywords

  • autofluorescence
  • cancer biomarkers
  • detection
  • multifunctional laser
  • Transitional cell carcinoma
  • urinary bladder cancer

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