Impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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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2296-861X 10.3389/fnut.2021.671547 85124540440 PMC8830532 35155507 000753829400001 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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