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FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy

Our aim was to analyse whether biomarkers extracted from baseline (18)F-FDG PET before anti-PD1 treatment contribute to prognostic survival information for early risk stratification in metastatic melanoma. Fifty-six patients, without prior systemic treatment, BRAF wild type, explored using (18)F-FDG...

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Autores principales: Flaus, A., Habouzit, V., De Leiris, N., Vuillez, J. P., Leccia, M. T., Perrot, J. L., Prevot, N., Cachin, F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458464/
https://www.ncbi.nlm.nih.gov/pubmed/34552135
http://dx.doi.org/10.1038/s41598-021-98310-3
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author Flaus, A.
Habouzit, V.
De Leiris, N.
Vuillez, J. P.
Leccia, M. T.
Perrot, J. L.
Prevot, N.
Cachin, F.
author_facet Flaus, A.
Habouzit, V.
De Leiris, N.
Vuillez, J. P.
Leccia, M. T.
Perrot, J. L.
Prevot, N.
Cachin, F.
author_sort Flaus, A.
collection PubMed
description Our aim was to analyse whether biomarkers extracted from baseline (18)F-FDG PET before anti-PD1 treatment contribute to prognostic survival information for early risk stratification in metastatic melanoma. Fifty-six patients, without prior systemic treatment, BRAF wild type, explored using (18)F-FDG PET were included retrospectively. Our primary endpoint was overall survival (OS). Total metabolic tumoral volume (MTV) and forty-one IBSI compliant parameters were extracted from PET. Parameters associated with outcome were evaluated by a cox regression model and when significant helped build a prognostic score. Median follow-up was 22.1 months and 21 patients died. Total MTV and long zone emphasis (LZE) correlated with shorter OS and served to define three risk categories for the prognostic score. For low, intermediate and high risk groups, survival rates were respectively 91.1% (IC 95 80–1), 56.1% (IC 95 37.1–85) and 19% (IC 95 0.06–60.2) and hazard ratios were respectively 0.11 (IC 95 0.025–0.46), P = 0.0028, 1.2 (IC 95 0.48–2.8), P = 0.74 and 5.9 (IC 95 2.5–14), P < 0.0001. To conclude, a prognostic score based on total MTV and LZE separated metastatic melanoma patients in 3 categories with dramatically different outcomes. Innovative therapies should be tested in the group with the lowest prognosis score for future clinical trials.
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spelling pubmed-84584642021-09-24 FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy Flaus, A. Habouzit, V. De Leiris, N. Vuillez, J. P. Leccia, M. T. Perrot, J. L. Prevot, N. Cachin, F. Sci Rep Article Our aim was to analyse whether biomarkers extracted from baseline (18)F-FDG PET before anti-PD1 treatment contribute to prognostic survival information for early risk stratification in metastatic melanoma. Fifty-six patients, without prior systemic treatment, BRAF wild type, explored using (18)F-FDG PET were included retrospectively. Our primary endpoint was overall survival (OS). Total metabolic tumoral volume (MTV) and forty-one IBSI compliant parameters were extracted from PET. Parameters associated with outcome were evaluated by a cox regression model and when significant helped build a prognostic score. Median follow-up was 22.1 months and 21 patients died. Total MTV and long zone emphasis (LZE) correlated with shorter OS and served to define three risk categories for the prognostic score. For low, intermediate and high risk groups, survival rates were respectively 91.1% (IC 95 80–1), 56.1% (IC 95 37.1–85) and 19% (IC 95 0.06–60.2) and hazard ratios were respectively 0.11 (IC 95 0.025–0.46), P = 0.0028, 1.2 (IC 95 0.48–2.8), P = 0.74 and 5.9 (IC 95 2.5–14), P < 0.0001. To conclude, a prognostic score based on total MTV and LZE separated metastatic melanoma patients in 3 categories with dramatically different outcomes. Innovative therapies should be tested in the group with the lowest prognosis score for future clinical trials. Nature Publishing Group UK 2021-09-22 /pmc/articles/PMC8458464/ /pubmed/34552135 http://dx.doi.org/10.1038/s41598-021-98310-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Flaus, A.
Habouzit, V.
De Leiris, N.
Vuillez, J. P.
Leccia, M. T.
Perrot, J. L.
Prevot, N.
Cachin, F.
FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy
title FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy
title_full FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy
title_fullStr FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy
title_full_unstemmed FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy
title_short FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy
title_sort fdg pet biomarkers for prediction of survival in metastatic melanoma prior to anti-pd1 immunotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458464/
https://www.ncbi.nlm.nih.gov/pubmed/34552135
http://dx.doi.org/10.1038/s41598-021-98310-3
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