Investigating centrifugal filtration of serum-based FTIR spectroscopy for the stratification of brain tumours.

Theakstone, Ashton G, Brennan, Paul M, Jenkinson, Michael D ORCID: 0000-0003-4587-2139, Goodacre, Royston ORCID: 0000-0003-2230-645X and Baker, Matthew J (2023) Investigating centrifugal filtration of serum-based FTIR spectroscopy for the stratification of brain tumours. PloS one, 18 (2). e0279669-e0279669.

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Official URL: http://dx.doi.org/10.1371/journal.pone.0279669

Abstract

Discrimination of brain cancer versus non-cancer patients using serum-based attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy diagnostics was first developed by Hands et al with a reported sensitivity of 92.8% and specificity of 91.5%. Cameron et al. then went on to stratifying between specific brain tumour types: glioblastoma multiforme (GBM) vs. primary cerebral lymphoma with a sensitivity of 90.1% and specificity of 86.3%. Expanding on these studies, 30 GBM, 30 lymphoma and 30 non-cancer patients were selected to investigate the influence on test performance by focusing on specific molecular weight regions of the patient serum. Membrane filters with molecular weight cut offs of 100 kDa, 50 kDa, 30 kDa, 10 kDa and 3 kDa were purchased in order to remove the most abundant high molecular weight components. Three groups were classified using both partial least squares-discriminate analysis (PLS-DA) and random forest (RF) machine learning algorithms; GBM versus non-cancer, lymphoma versus non-cancer and GBM versus lymphoma. For all groups, once the serum was filtered the sensitivity, specificity and overall balanced accuracies decreased. This illustrates that the high molecular weight components are required for discrimination between cancer and non-cancer as well as between tumour types. From a clinical application point of view, this is preferable as less sample preparation is required.

Item Type:	Article
Uncontrolled Keywords:	Humans, Lymphoma, Glioblastoma, Brain Neoplasms, Spectroscopy, Fourier Transform Infrared, Least-Squares Analysis
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:	06 Mar 2023 10:22
Last Modified:	20 Sep 2023 21:09
DOI:	10.1371/journal.pone.0279669
Open Access URL:	https://journals.plos.org/plosone/article?id=10.13...
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3168748