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