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Predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy
Advanced melanoma remains a disease with poor prognosis. Several serologic markers have been investigated to help monitoring and prognostication, but to date only lactate dehydrogenase (LDH) has been validated as a standard prognostic factor biomarker for this disease by the American Joint Committee...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198615/ https://www.ncbi.nlm.nih.gov/pubmed/32366871 http://dx.doi.org/10.1038/s41598-020-63441-6 |
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author | Irurzun-Arana, Itziar Asín-Prieto, Eduardo Martín-Algarra, Salvador Trocóniz, Iñaki F. |
author_facet | Irurzun-Arana, Itziar Asín-Prieto, Eduardo Martín-Algarra, Salvador Trocóniz, Iñaki F. |
author_sort | Irurzun-Arana, Itziar |
collection | PubMed |
description | Advanced melanoma remains a disease with poor prognosis. Several serologic markers have been investigated to help monitoring and prognostication, but to date only lactate dehydrogenase (LDH) has been validated as a standard prognostic factor biomarker for this disease by the American Joint Committee on Cancer. In this work, we built a semi-mechanistic model to explore the relationship between the time course of several circulating biomarkers and overall or progression free survival in advanced melanoma patients treated with adjuvant high-dose interferon-[Formula: see text] . Additionally, due to the adverse interferon tolerability, a semi-mechanistic model describing the side effects of the treatment in the absolute neutrophil counts is proposed in order to simultaneously analyze the benefits and toxic effects of this treatment. The results of our analysis suggest that the relative change from baseline of LDH was the most significant predictor of the overall survival of the patients. Unfortunately, there was no significant difference in the proportion of patients with elevated serum biomarkers between the patients who recurred and those who remained free of disease. Still, we believe that the modelling framework presented in this work of circulating biomarkers and adverse effects could constitute an additional strategy for disease monitoring in advance melanoma patients. |
format | Online Article Text |
id | pubmed-7198615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71986152020-05-08 Predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy Irurzun-Arana, Itziar Asín-Prieto, Eduardo Martín-Algarra, Salvador Trocóniz, Iñaki F. Sci Rep Article Advanced melanoma remains a disease with poor prognosis. Several serologic markers have been investigated to help monitoring and prognostication, but to date only lactate dehydrogenase (LDH) has been validated as a standard prognostic factor biomarker for this disease by the American Joint Committee on Cancer. In this work, we built a semi-mechanistic model to explore the relationship between the time course of several circulating biomarkers and overall or progression free survival in advanced melanoma patients treated with adjuvant high-dose interferon-[Formula: see text] . Additionally, due to the adverse interferon tolerability, a semi-mechanistic model describing the side effects of the treatment in the absolute neutrophil counts is proposed in order to simultaneously analyze the benefits and toxic effects of this treatment. The results of our analysis suggest that the relative change from baseline of LDH was the most significant predictor of the overall survival of the patients. Unfortunately, there was no significant difference in the proportion of patients with elevated serum biomarkers between the patients who recurred and those who remained free of disease. Still, we believe that the modelling framework presented in this work of circulating biomarkers and adverse effects could constitute an additional strategy for disease monitoring in advance melanoma patients. Nature Publishing Group UK 2020-05-04 /pmc/articles/PMC7198615/ /pubmed/32366871 http://dx.doi.org/10.1038/s41598-020-63441-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Irurzun-Arana, Itziar Asín-Prieto, Eduardo Martín-Algarra, Salvador Trocóniz, Iñaki F. Predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy |
title | Predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy |
title_full | Predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy |
title_fullStr | Predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy |
title_full_unstemmed | Predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy |
title_short | Predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy |
title_sort | predicting circulating biomarker response and its impact on the survival of advanced melanoma patients treated with adjuvant therapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198615/ https://www.ncbi.nlm.nih.gov/pubmed/32366871 http://dx.doi.org/10.1038/s41598-020-63441-6 |
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