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Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction.

Authors :
Chicco D
Haupt R
Garaventa A
Uva P
Luksch R
Cangelosi D
Source :
European journal of cancer (Oxford, England : 1990) [Eur J Cancer] 2023 Nov; Vol. 193, pp. 113291. Date of Electronic Publication: 2023 Aug 19.
Publication Year :
2023

Abstract

Objective: Seek new candidate prognostic markers for neuroblastoma outcome, relapse or progression.<br />Materials and Methods: In this multicentre and retrospective study, Random Forests coupled with recursive feature elimination techniques were applied to electronic records (55 clinical features) of 3034 neuroblastoma patients. To assess model performance and feature importance, dataset was split into a training set (80%) and a test set (20%).<br />Results: In the test set, the mean Matthews correlation coefficient for the Random Forests models was greater than 0.46. Feature importance analysis revealed that, together with maximum response to first-line treatment (D_MAX_RESP), time to maximum response to first-line treatment (TIME_MAX_RESP.days) is a relevant predictor of both patients' outcome and relapse\progression. We showed the prognostic value of the max response to first-line treatment in clinically relevant subsets of high-, intermediate-, and low-risk patients for both overall and relapse-free survival (Log-rank p-value<0.0001). In high-risk patients older than 18 months and stage 4 tumour achieving a complete response or very good partial response, patients who exhibited a D_MAX_RESP greater than 9 months showed a better prognosis with respect to patients achieving D_MAX_RESP earlier than 9 months (overall survival): hazard ratio 3.3 95% confidence interval 1.8-5.9, Log-rank p-value p < 0.0001; relapse-free survival: 3.2 95%CI 1.8-5.6, Log-rank p-value p < 0.0001).<br />Conclusion: Our findings evidence the emerging role of the TIME_MAX_RESP.days in addition to the D_MAX_RESP as relevant predictors of outcome and relapse\progression in neuroblastoma with potential clinical impact on the management and treatment of patients.<br />Competing Interests: Declaration of Competing Interest The authors declare no competing interests.<br /> (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Details

Language :
English
ISSN :
1879-0852
Volume :
193
Database :
MEDLINE
Journal :
European journal of cancer (Oxford, England : 1990)
Publication Type :
Academic Journal
Accession number :
37708628
Full Text :
https://doi.org/10.1016/j.ejca.2023.113291