Ontology highlight
ABSTRACT:
SUBMITTER: Cunnea P
PROVIDER: S-EPMC6168525 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Cunnea Paula P Gorgy Tommy T Petkos Konstantinos K Gowers Sally A N SAN Lu Haonan H Morera Cristina C Wu Wen W Lawton Phillip P Nixon Katherine K Leong Chi Leng CL Sorbi Flavia F Domenici Lavinia L Paterson Andrew A Curry Ed E Gabra Hani H Boutelle Martyn G MG Drakakis Emmanuel M EM Fotopoulou Christina C
Scientific reports 20181002 1
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 ...[more]