Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients.
Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients.
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DOI:
10.1038/s41598-018-32720-8
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发表时间:
2018-10-02
影响因子:
4.6
通讯作者:
Fotopoulou C
中科院分区:
文献类型:
--
作者:
Cunnea P;Gorgy T;Petkos K;Gowers SAN;Lu H;Morera C;Wu W;Lawton P;Nixon K;Leong CL;Sorbi F;Domenici L;Paterson A;Curry E;Gabra H;Boutelle MG;Drakakis EM;Fotopoulou C
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.
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影响因子:
4.6
作者:
Dong T;Liu Z;Xuan Q;Wang Z;Ma W;Zhang Q
通讯作者:
Zhang Q
影响因子:
4.6
作者:
Bankhead P;Loughrey MB;Fernández JA;Dombrowski Y;McArt DG;Dunne PD;McQuaid S;Gray RT;Murray LJ;Coleman HG;James JA;Salto-Tellez M;Hamilton PW
通讯作者:
Hamilton PW
DOI:
10.1038/nrc.2017.83
发表时间:
2017-11
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
Mitchell MJ;Jain RK;Langer R
通讯作者:
Langer R
影响因子:
3.3
作者:
Levin M
通讯作者:
Levin M
DOI:
10.1038/nrc4019
发表时间:
2015-11
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
Bowtell DD;Böhm S;Ahmed AA;Aspuria PJ;Bast RC Jr;Beral V;Berek JS;Birrer MJ;Blagden S;Bookman MA;Brenton JD;Chiappinelli KB;Martins FC;Coukos G;Drapkin R;Edmondson R;Fotopoulou C;Gabra H;Galon J;Gourley C;Heong V;Huntsman DG;Iwanicki M;Karlan BY;Kaye A;Lengyel E;Levine DA;Lu KH;McNeish IA;Menon U;Narod SA;Nelson BH;Nephew KP;Pharoah P;Powell DJ Jr;Ramos P;Romero IL;Scott CL;Sood AK;Stronach EA;Balkwill FR
通讯作者:
Balkwill FR