Prediction of disease progression indicators in prostate cancer patients receiving HDR-brachytherapy using Raman spectroscopy and semi-supervised learning: A pilot study
Date
2022
Authors
Milligan, Kirsty
Deng, Xinchen
Ali-Adeeb, Ramie
Shreeves, Phillip
Punch, Samantha
Costie, Nathalie
Crook, Juanita M.
Brolo, Alexandre G.
Lum, Julian J.
Andrews, Jeffrey L.
Journal Title
Journal ISSN
Volume Title
Publisher
Scientific Reports
Abstract
This work combines Raman spectroscopy (RS) with supervised learning methods—group and basis
restricted non-negative matrix factorisation (GBR-NMF) and linear discriminant analysis (LDA)—to
aid in the prediction of clinical indicators of disease progression in a cohort of 9 patients receiving
high dose rate brachytherapy (HDR-BT) as the primary treatment for intermediate risk (D’Amico)
prostate adenocarcinoma. The combination of Raman spectroscopy and GBR-NMF-sparseLDA
modelling allowed for the prediction of the following clinical information; Gleason score, cancer of the
prostate risk assessment (CAPRA) score of pre-treatment biopsies and a Ki67 score of < 3.5% or > 3.5%
in post treatment biopsies. The three clinical indicators of disease progression investigated in this
study were predicted using a single set of Raman spectral data acquired from each individual biopsy,
obtained pre HDR-BT treatment. This work highlights the potential of RS, combined with supervised
learning, as a tool for the prediction of multiple types of clinically relevant information to be acquired
simultaneously using pre-treatment biopsies, therefore opening up the potential for avoiding the
need for multiple immunohistochemistry (IHC) staining procedures (H&E, Ki67) and blood sample
analysis (PSA) to aid in CAPRA scoring.
Description
Keywords
Bioanalytical chemistry, Biological physics, Cancer metabolism, Cheminformatics, Medical and clinical diagnostics, Metabolomics, Tumour biomarkers, Tumour virus infections, Urological cancer
Citation
Milligan, K., Deng, X., Ali-Adeeb, R., Shreeves, P., Punch, S., Costie, N., . . . Jirasek, A. (2022). “Prediction of disease progression indicators in prostate cancer patients receiving HDR-brachytherapy using Raman spectroscopy and semisupervised learning: A pilot study.” Scientific Reports, 12(15104). https://doi.org/10.1038/s41598-022-19446-4