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

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-potent...

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Autores principales:	Paula Cunnea, Tommy Gorgy, Konstantinos Petkos, Sally A.N. Gowers, Haonan Lu, Cristina Morera, Wen Wu, Phillip Lawton, Katherine Nixon, Chi Leng Leong, Flavia Sorbi, Lavinia Domenici, Andrew Paterson, Ed Curry, Hani Gabra, Martyn G. Boutelle, Emmanuel M. Drakakis, Christina Fotopoulou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Bioelectric Properties Advanced Epithelial Ovarian Cancer Patients Apoptosis-related Pathways High-grade Serous Ovarian Cancer (HGSOC) AgCl Reference Electrode Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cc3db571882b4b56b949edfb1aa0edd7
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spelling	oai:doaj.org-article:cc3db571882b4b56b949edfb1aa0edd72021-12-02T11:40:54ZClinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients10.1038/s41598-018-32720-82045-2322https://doaj.org/article/cc3db571882b4b56b949edfb1aa0edd72018-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-32720-8https://doaj.org/toc/2045-2322Abstract 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.Paula CunneaTommy GorgyKonstantinos PetkosSally A.N. GowersHaonan LuCristina MoreraWen WuPhillip LawtonKatherine NixonChi Leng LeongFlavia SorbiLavinia DomeniciAndrew PatersonEd CurryHani GabraMartyn G. BoutelleEmmanuel M. DrakakisChristina FotopoulouNature PortfolioarticleBioelectric PropertiesAdvanced Epithelial Ovarian Cancer PatientsApoptosis-related PathwaysHigh-grade Serous Ovarian Cancer (HGSOC)AgCl Reference ElectrodeMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bioelectric Properties Advanced Epithelial Ovarian Cancer Patients Apoptosis-related Pathways High-grade Serous Ovarian Cancer (HGSOC) AgCl Reference Electrode Medicine R Science Q
spellingShingle	Bioelectric Properties Advanced Epithelial Ovarian Cancer Patients Apoptosis-related Pathways High-grade Serous Ovarian Cancer (HGSOC) AgCl Reference Electrode Medicine R Science Q Paula Cunnea Tommy Gorgy Konstantinos Petkos Sally A.N. Gowers Haonan Lu Cristina Morera Wen Wu Phillip Lawton Katherine Nixon Chi Leng Leong Flavia Sorbi Lavinia Domenici Andrew Paterson Ed Curry Hani Gabra Martyn G. Boutelle Emmanuel M. Drakakis Christina Fotopoulou Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients
description	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.
format	article
author	Paula Cunnea Tommy Gorgy Konstantinos Petkos Sally A.N. Gowers Haonan Lu Cristina Morera Wen Wu Phillip Lawton Katherine Nixon Chi Leng Leong Flavia Sorbi Lavinia Domenici Andrew Paterson Ed Curry Hani Gabra Martyn G. Boutelle Emmanuel M. Drakakis Christina Fotopoulou
author_facet	Paula Cunnea Tommy Gorgy Konstantinos Petkos Sally A.N. Gowers Haonan Lu Cristina Morera Wen Wu Phillip Lawton Katherine Nixon Chi Leng Leong Flavia Sorbi Lavinia Domenici Andrew Paterson Ed Curry Hani Gabra Martyn G. Boutelle Emmanuel M. Drakakis Christina Fotopoulou
author_sort	Paula Cunnea
title	Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients
title_short	Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients
title_full	Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients
title_fullStr	Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients
title_full_unstemmed	Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients
title_sort	clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/cc3db571882b4b56b949edfb1aa0edd7
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Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients

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