Rapid Spectroscopic Liquid Biopsy for the Universal Detection of Brain Tumours

Theakstone, Ashton G, Brennan, Paul M, Jenkinson, Michael D ORCID: 0000-0003-4587-2139, Mills, Samantha J, Syed, Khaja, Rinaldi, Christopher, Xu, Yun ORCID: 0000-0003-3228-5111, Goodacre, Royston ORCID: 0000-0003-2230-645X, Butler, Holly J, Palmer, David S
et al (show 2 more authors) (2021) Rapid Spectroscopic Liquid Biopsy for the Universal Detection of Brain Tumours. Cancers, 13 (15). p. 3851.

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<jats:p>Background: To support the early detection and diagnosis of brain tumours we have developed a rapid, cost-effective and easy to use spectroscopic liquid biopsy based on the absorbance of infrared radiation. We have previously reported highly sensitive results of our approach which can discriminate patients with a recent brain tumour diagnosis and asymptomatic controls. Other liquid biopsy approaches (e.g., based on tumour genetic material) report a lower classification accuracy for early-stage tumours. In this manuscript we present an investigation into the link between brain tumour volume and liquid biopsy test performance. Methods: In a cohort of 177 patients (90 patients with high-grade glioma (glioblastoma (GBM) or anaplastic astrocytoma), or low-grade glioma (astrocytoma, oligoastrocytoma and oligodendroglioma)) tumour volumes were calculated from magnetic resonance imaging (MRI) investigations and patients were split into two groups depending on MRI parameters (T1 with contrast enhancement or T2/FLAIR (fluid-attenuated inversion recovery)). Using attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy coupled with supervised learning methods and machine learning algorithms, 90 tumour patients were stratified against 87 control patients who displayed no symptomatic indications of cancer, and were classified as either glioma or non-glioma. Results: Sensitivities, specificities and balanced accuracies were all greater than 88%, the area under the curve (AUC) was 0.98, and cancer patients with tumour volumes as small as 0.2 cm3 were correctly identified. Conclusions: Our spectroscopic liquid biopsy approach can identify gliomas that are both small and low-grade showing great promise for deployment of this technique for early detection and diagnosis.</jats:p>

Item Type: Article
Uncontrolled Keywords: vibrational spectroscopy, glioma, chemometrics, clinical translation, early detection
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 04 Aug 2021 08:18
Last Modified: 18 Jan 2023 21:34
DOI: 10.3390/cancers13153851
Open Access URL: https://www.mdpi.com/2072-6694/13/15/3851
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3132344