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Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients.

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Title: Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients.
Authors: Cunnea, P
Gorgy, T
Petkos, K
Gowers, S
Lu, H
Morera, C
Wu, W
Lawton, P
Nixon, K
Leong, C
Sorbi, F
Domenici, L
Paterson, A
Curry, E
Gabra, H
Boutelle, M
Drakakis, E
Fotopoulou, C
Item Type: Journal Article
Abstract: Currently, there are no valid pre-operatively established biomarkers or algorithms that can accurately predict surgical and clinical outcome for patients with advanced epithelial ovarian cancer (EOC). In this study, we suggest that profiling of tumour parameters such as bioelectrical-potential and metabolites, detectable by electronic sensors, could facilitate the future development of devices to better monitor disease and predict surgical and treatment outcomes. Biopotential was recorded, using a potentiometric measurement system, in ex vivo paired non-cancerous and cancerous omental tissues from advanced stage EOC (n = 36), and lysates collected for metabolite measurement by microdialysis. Consistently different biopotential values were detected in cancerous tissue versus non-cancerous tissue across all cases (p < 0.001). High tumour biopotential levels correlated with advanced tumour stage (p = 0.048) and tumour load, and negatively correlated with stroma. Within our EOC cohort and specifically the high-grade serous subtype, low biopotential levels associated with poorer progression-free survival (p = 0.0179, p = 0.0143 respectively). Changes in biopotential levels significantly correlated with common apoptosis related pathways. Lactate and glucose levels measured in paired tissues showed significantly higher lactate/glucose ratio in tissues with low biopotential (p < 0.01, n = 12). Our study proposes the feasibility of biopotential and metabolite monitoring as a biomarker modality profiling EOC to predict surgical and clinical outcomes.
Issue Date: 2-Oct-2018
Date of Acceptance: 11-Sep-2018
URI: http://hdl.handle.net/10044/1/64682
DOI: https://dx.doi.org/10.1038/s41598-018-32720-8
ISSN: 2045-2322
Publisher: Nature Publishing Group
Journal / Book Title: Scientific Reports
Volume: 8
Copyright Statement: © The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
BREAST-CANCER
PROGNOSTIC-FACTOR
POTENTIALS
MICRODIALYSIS
EXPRESSION
CHALLENGES
SURGERY
Publication Status: Published
Article Number: 14695
Appears in Collections:Bioengineering
Division of Surgery
Division of Cancer
Faculty of Medicine



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