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Predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: A “hypothesis‐generator” preliminary report

Sarcopenia represents one of the hallmarks of all chronic disease, including non‐small cell lung cancer (NSCLC). A computed tomography scan is an easy modality to estimate the skeletal muscle mass through cross‐sectional image analysis at the level of the third lumbar vertebra (L3). Baseline skeleta...

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Autores principales: Cortellini, Alessio, Verna, Lucilla, Porzio, Giampiero, Bozzetti, Federico, Palumbo, Pierpaolo, Masciocchi, Carlo, Cannita, Katia, Parisi, Alessandro, Brocco, Davide, Tinari, Nicola, Ficorella, Corrado
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360197/
https://www.ncbi.nlm.nih.gov/pubmed/30600905
http://dx.doi.org/10.1111/1759-7714.12965
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author Cortellini, Alessio
Verna, Lucilla
Porzio, Giampiero
Bozzetti, Federico
Palumbo, Pierpaolo
Masciocchi, Carlo
Cannita, Katia
Parisi, Alessandro
Brocco, Davide
Tinari, Nicola
Ficorella, Corrado
author_facet Cortellini, Alessio
Verna, Lucilla
Porzio, Giampiero
Bozzetti, Federico
Palumbo, Pierpaolo
Masciocchi, Carlo
Cannita, Katia
Parisi, Alessandro
Brocco, Davide
Tinari, Nicola
Ficorella, Corrado
author_sort Cortellini, Alessio
collection PubMed
description Sarcopenia represents one of the hallmarks of all chronic disease, including non‐small cell lung cancer (NSCLC). A computed tomography scan is an easy modality to estimate the skeletal muscle mass through cross‐sectional image analysis at the level of the third lumbar vertebra (L3). Baseline skeletal muscle mass (SMM) was evaluated using gender‐specific cutoffs for skeletal muscle index in NSCLC patients administered immunotherapy with nivolumab to evaluate its possible correlations with clinical outcomes. From April 2015 to August 2018, 23 stage IV NSCLC patients were eligible for image analysis. Nine patients (39.1%) had low SMM. Among patients with baseline low and non‐low SMM, median progression free survival was 3.1 and 3.8 months, respectively (P = 0.0560), while median overall survival was 4.1 and 13 months, respectively (P = 0.2866). This hypothesis‐generating preliminary report offers the opportunity to speculate about the negative influence of sarcopenia on immune response. In our opinion, nutritional status could affect the clinical outcomes of immunotherapy, even if we cannot make definitive conclusions here. Further studies on the topic are required.
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spelling pubmed-63601972019-02-14 Predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: A “hypothesis‐generator” preliminary report Cortellini, Alessio Verna, Lucilla Porzio, Giampiero Bozzetti, Federico Palumbo, Pierpaolo Masciocchi, Carlo Cannita, Katia Parisi, Alessandro Brocco, Davide Tinari, Nicola Ficorella, Corrado Thorac Cancer Brief Reports Sarcopenia represents one of the hallmarks of all chronic disease, including non‐small cell lung cancer (NSCLC). A computed tomography scan is an easy modality to estimate the skeletal muscle mass through cross‐sectional image analysis at the level of the third lumbar vertebra (L3). Baseline skeletal muscle mass (SMM) was evaluated using gender‐specific cutoffs for skeletal muscle index in NSCLC patients administered immunotherapy with nivolumab to evaluate its possible correlations with clinical outcomes. From April 2015 to August 2018, 23 stage IV NSCLC patients were eligible for image analysis. Nine patients (39.1%) had low SMM. Among patients with baseline low and non‐low SMM, median progression free survival was 3.1 and 3.8 months, respectively (P = 0.0560), while median overall survival was 4.1 and 13 months, respectively (P = 0.2866). This hypothesis‐generating preliminary report offers the opportunity to speculate about the negative influence of sarcopenia on immune response. In our opinion, nutritional status could affect the clinical outcomes of immunotherapy, even if we cannot make definitive conclusions here. Further studies on the topic are required. John Wiley & Sons Australia, Ltd 2019-01-02 2019-02 /pmc/articles/PMC6360197/ /pubmed/30600905 http://dx.doi.org/10.1111/1759-7714.12965 Text en © 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Brief Reports
Cortellini, Alessio
Verna, Lucilla
Porzio, Giampiero
Bozzetti, Federico
Palumbo, Pierpaolo
Masciocchi, Carlo
Cannita, Katia
Parisi, Alessandro
Brocco, Davide
Tinari, Nicola
Ficorella, Corrado
Predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: A “hypothesis‐generator” preliminary report
title Predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: A “hypothesis‐generator” preliminary report
title_full Predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: A “hypothesis‐generator” preliminary report
title_fullStr Predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: A “hypothesis‐generator” preliminary report
title_full_unstemmed Predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: A “hypothesis‐generator” preliminary report
title_short Predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: A “hypothesis‐generator” preliminary report
title_sort predictive value of skeletal muscle mass for immunotherapy with nivolumab in non‐small cell lung cancer patients: a “hypothesis‐generator” preliminary report
topic Brief Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360197/
https://www.ncbi.nlm.nih.gov/pubmed/30600905
http://dx.doi.org/10.1111/1759-7714.12965
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