Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer

Detalhes bibliográficos
Autor(a) principal: Dias, David da Silva
Data de Publicação: 2022
Outros Autores: Machado, Mafalda, Trabulo, Carolina, Gosálbez, Beatriz, Ravasco, Paula
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/36774
Resumo: Sarcopenia is a progressive skeletal muscle disease, often present in oncological patients, that is associated with multiple adverse events such as worse prognosis, physical performance, and quality of life. Body composition evaluation by CT cross-section at the L3 vertebrae region appears to be a precise method to quantify skeletal muscle. The optimal cut-off for the definition of sarcopenia is not yet established, therefore the incidence of sarcopenia varies according to different studies. The main goal was to evaluate the presence of sarcopenia in patients with metastatic colorectal cancer (mCRC) and its impact on overall survival (OS) and dose-limiting toxicities (DLT). A retrospective cohort study of 178 patients with mCRC under first-line chemotherapy (ChT) in association with target therapy, in two hospital units, between January 2015 and December 2018. Skeletal mass area (SMA) was quantified with the NIH ImageJ software in CT cross-sectional images at the L3 vertebrae region. Statistical analysis was performed with IBM SPSS v25 software https://www.ibm.com/analytics/spss-statistics-software. The median age was 62 (SD ± 11) years old, 65% were men and 62.9% had an Eastern Cooperative Oncology Group (ECOG) performance status of 0. The cut-off value was established based on ROC analysis, with sarcopenia defined as SMI < 49.12 cm2/m2 for men and < 35.85 cm2/m2 for women. Despite the mean body mass index (BMI) of 25.71 (± 4.71) kg/m2, half of the patients presented sarcopenia. In a multivariate analysis using a Cox regression model, an association was observed between OS and higher ECOG PS (p = 0.014; HR 5.46, CI 95% [1.42–21.10]), neutrophil-to-lymphocyte ratio (NLR) >2.80 (p = 0.038; HR 2.20, CI 95% [1,05–4.62]), and sarcopenia (p = 0.01; HR 4.73, CI 95% [1.85–12.09]). Additionally, in a logistic regression model, age (p = 0.014; OR 1.09, IC 95% [1.02–1.16]) and sarcopenia (p= 0.030, OR 4.13, IC 95% [1.15-14.8]) were associated with higher incidence of DLT. The CT evaluation of the body composition at the L3 region allows for the quantification of sarcopenia, providing prognostic information and predictive value of DLT in patients with mCRC, although the establishment of optimal cut-off values are required for implementation in clinical practice. A multimodal strategy to delay muscle waste should be considered in these patients.
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spelling Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancerBody compositionBody mass indexDose limiting toxicitiesMetastatic colorectal cancerNeutrophil-to-lymphocyte ratioSarcopeniaSkeletal muscle indexSystemic inflammationSarcopenia is a progressive skeletal muscle disease, often present in oncological patients, that is associated with multiple adverse events such as worse prognosis, physical performance, and quality of life. Body composition evaluation by CT cross-section at the L3 vertebrae region appears to be a precise method to quantify skeletal muscle. The optimal cut-off for the definition of sarcopenia is not yet established, therefore the incidence of sarcopenia varies according to different studies. The main goal was to evaluate the presence of sarcopenia in patients with metastatic colorectal cancer (mCRC) and its impact on overall survival (OS) and dose-limiting toxicities (DLT). A retrospective cohort study of 178 patients with mCRC under first-line chemotherapy (ChT) in association with target therapy, in two hospital units, between January 2015 and December 2018. Skeletal mass area (SMA) was quantified with the NIH ImageJ software in CT cross-sectional images at the L3 vertebrae region. Statistical analysis was performed with IBM SPSS v25 software https://www.ibm.com/analytics/spss-statistics-software. The median age was 62 (SD ± 11) years old, 65% were men and 62.9% had an Eastern Cooperative Oncology Group (ECOG) performance status of 0. The cut-off value was established based on ROC analysis, with sarcopenia defined as SMI < 49.12 cm2/m2 for men and < 35.85 cm2/m2 for women. Despite the mean body mass index (BMI) of 25.71 (± 4.71) kg/m2, half of the patients presented sarcopenia. In a multivariate analysis using a Cox regression model, an association was observed between OS and higher ECOG PS (p = 0.014; HR 5.46, CI 95% [1.42–21.10]), neutrophil-to-lymphocyte ratio (NLR) >2.80 (p = 0.038; HR 2.20, CI 95% [1,05–4.62]), and sarcopenia (p = 0.01; HR 4.73, CI 95% [1.85–12.09]). Additionally, in a logistic regression model, age (p = 0.014; OR 1.09, IC 95% [1.02–1.16]) and sarcopenia (p= 0.030, OR 4.13, IC 95% [1.15-14.8]) were associated with higher incidence of DLT. The CT evaluation of the body composition at the L3 region allows for the quantification of sarcopenia, providing prognostic information and predictive value of DLT in patients with mCRC, although the establishment of optimal cut-off values are required for implementation in clinical practice. A multimodal strategy to delay muscle waste should be considered in these patients.Veritati - Repositório Institucional da Universidade Católica PortuguesaDias, David da SilvaMachado, MafaldaTrabulo, CarolinaGosálbez, BeatrizRavasco, Paula2022-02-22T09:17:44Z2022-01-272022-01-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/36774eng2296-861X10.3389/fnut.2021.67154785124540440PMC883053235155507000753829400001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-23T01:41:44Zoai:repositorio.ucp.pt:10400.14/36774Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:29:53.746926Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
title Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
spellingShingle Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
Dias, David da Silva
Body composition
Body mass index
Dose limiting toxicities
Metastatic colorectal cancer
Neutrophil-to-lymphocyte ratio
Sarcopenia
Skeletal muscle index
Systemic inflammation
title_short Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
title_full Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
title_fullStr Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
title_full_unstemmed Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
title_sort Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
author Dias, David da Silva
author_facet Dias, David da Silva
Machado, Mafalda
Trabulo, Carolina
Gosálbez, Beatriz
Ravasco, Paula
author_role author
author2 Machado, Mafalda
Trabulo, Carolina
Gosálbez, Beatriz
Ravasco, Paula
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Dias, David da Silva
Machado, Mafalda
Trabulo, Carolina
Gosálbez, Beatriz
Ravasco, Paula
dc.subject.por.fl_str_mv Body composition
Body mass index
Dose limiting toxicities
Metastatic colorectal cancer
Neutrophil-to-lymphocyte ratio
Sarcopenia
Skeletal muscle index
Systemic inflammation
topic Body composition
Body mass index
Dose limiting toxicities
Metastatic colorectal cancer
Neutrophil-to-lymphocyte ratio
Sarcopenia
Skeletal muscle index
Systemic inflammation
description Sarcopenia is a progressive skeletal muscle disease, often present in oncological patients, that is associated with multiple adverse events such as worse prognosis, physical performance, and quality of life. Body composition evaluation by CT cross-section at the L3 vertebrae region appears to be a precise method to quantify skeletal muscle. The optimal cut-off for the definition of sarcopenia is not yet established, therefore the incidence of sarcopenia varies according to different studies. The main goal was to evaluate the presence of sarcopenia in patients with metastatic colorectal cancer (mCRC) and its impact on overall survival (OS) and dose-limiting toxicities (DLT). A retrospective cohort study of 178 patients with mCRC under first-line chemotherapy (ChT) in association with target therapy, in two hospital units, between January 2015 and December 2018. Skeletal mass area (SMA) was quantified with the NIH ImageJ software in CT cross-sectional images at the L3 vertebrae region. Statistical analysis was performed with IBM SPSS v25 software https://www.ibm.com/analytics/spss-statistics-software. The median age was 62 (SD ± 11) years old, 65% were men and 62.9% had an Eastern Cooperative Oncology Group (ECOG) performance status of 0. The cut-off value was established based on ROC analysis, with sarcopenia defined as SMI < 49.12 cm2/m2 for men and < 35.85 cm2/m2 for women. Despite the mean body mass index (BMI) of 25.71 (± 4.71) kg/m2, half of the patients presented sarcopenia. In a multivariate analysis using a Cox regression model, an association was observed between OS and higher ECOG PS (p = 0.014; HR 5.46, CI 95% [1.42–21.10]), neutrophil-to-lymphocyte ratio (NLR) >2.80 (p = 0.038; HR 2.20, CI 95% [1,05–4.62]), and sarcopenia (p = 0.01; HR 4.73, CI 95% [1.85–12.09]). Additionally, in a logistic regression model, age (p = 0.014; OR 1.09, IC 95% [1.02–1.16]) and sarcopenia (p= 0.030, OR 4.13, IC 95% [1.15-14.8]) were associated with higher incidence of DLT. The CT evaluation of the body composition at the L3 region allows for the quantification of sarcopenia, providing prognostic information and predictive value of DLT in patients with mCRC, although the establishment of optimal cut-off values are required for implementation in clinical practice. A multimodal strategy to delay muscle waste should be considered in these patients.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-22T09:17:44Z
2022-01-27
2022-01-27T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/36774
url http://hdl.handle.net/10400.14/36774
dc.language.iso.fl_str_mv eng
language eng
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10.3389/fnut.2021.671547
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PMC8830532
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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