Ontology highlight
ABSTRACT: Background
A rapid, low-cost blood test that can be applied to reliably detect multiple different cancer types would be transformational.Methods
In this large-scale discovery study (n = 2092 patients) we applied the Dxcover® Cancer Liquid Biopsy to examine eight different cancers. The test uses Fourier transform infrared (FTIR) spectroscopy and machine-learning algorithms to detect cancer.Results
Area under the receiver operating characteristic curve (ROC) values were calculated for eight cancer types versus symptomatic non-cancer controls: brain (0.90), breast (0.76), colorectal (0.91), kidney (0.91), lung (0.91), ovarian (0.86), pancreatic (0.84) and prostate (0.86). We assessed the test performance when all eight cancer types were pooled to classify 'any cancer'
SUBMITTER: Cameron JM
PROVIDER: S-EPMC10645969 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature