Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort
Abstract Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. Th...
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Nature Portfolio
2024-12-01
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| Online Access: | https://doi.org/10.1038/s41598-024-83082-3 |
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| author | Ana Lúcia Miranda Jarson Pedro da Costa Pereira Iasmin Matias de Sousa Glaucia Mardrini Cassiano Ferreira Mara Rubia de Oliveira Bezerra Gabriela Villaça Chaves Fernanda F. Maciel Leonardo Borges Murad Sara Maria Moreira Lima Verde Sílvia Fernandes Maurício José Barreto Campello Carvalheira Maria Carolina Mendes Maria Cristina Gonzalez Carla M. Prado Ana Paula Trussardi Fayh |
| author_facet | Ana Lúcia Miranda Jarson Pedro da Costa Pereira Iasmin Matias de Sousa Glaucia Mardrini Cassiano Ferreira Mara Rubia de Oliveira Bezerra Gabriela Villaça Chaves Fernanda F. Maciel Leonardo Borges Murad Sara Maria Moreira Lima Verde Sílvia Fernandes Maurício José Barreto Campello Carvalheira Maria Carolina Mendes Maria Cristina Gonzalez Carla M. Prado Ana Paula Trussardi Fayh |
| author_sort | Ana Lúcia Miranda |
| collection | DOAJ |
| description | Abstract Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC. In this multicenter cohort study, patients (N = 635) aged 18 years and older with CRC were observed for 12 to 36 months to assess outcomes. Skeletal muscle area (SM) and index (SMI), skeletal muscle radiodensity (SMD), intermuscular adipose tissue (IMAT), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT) were evaluated, and classified based on tertile distributions. Low muscle mass (SMI) and poor muscle composition (SMD) were independent predictors of mortality regardless of follow-up period. This risk of mortality increased to more than 3-fold when combining both low SMI and low SMD (HRadjusted 3.1, 95% CI 1.8 to 5.4, respectively). Our study indicates that body composition characteristics may vary across countries, highlighting the need for developing sex- and population-specific cutoff values for computed tomography assessments in patients with different types of cancer. |
| format | Article |
| id | doaj-art-d3ba33d0656e4d7a96adf6a4d150aac1 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-d3ba33d0656e4d7a96adf6a4d150aac12025-01-05T12:29:58ZengNature PortfolioScientific Reports2045-23222024-12-0114111010.1038/s41598-024-83082-3Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohortAna Lúcia Miranda0Jarson Pedro da Costa Pereira1Iasmin Matias de Sousa2Glaucia Mardrini Cassiano Ferreira3Mara Rubia de Oliveira Bezerra4Gabriela Villaça Chaves5Fernanda F. Maciel6Leonardo Borges Murad7Sara Maria Moreira Lima Verde8Sílvia Fernandes Maurício9José Barreto Campello Carvalheira10Maria Carolina Mendes11Maria Cristina Gonzalez12Carla M. Prado13Ana Paula Trussardi Fayh14Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do NortePostgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of PernambucoPostgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do NortePostgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do NortePostgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do NorteDepartment of Nutrition, Cancer Hospital II, National Cancer Institute José Alencar Gomes da Silva (INCA)Department of Nutrition, Cancer Hospital II, National Cancer Institute José Alencar Gomes da Silva (INCA)Department of Nutrition, Cancer Hospital II, National Cancer Institute José Alencar Gomes da Silva (INCA)Postgraduate Program in Nutrition and Health, State University of CearaSchool of Nutrition, Federal University of Ouro PretoDivision of Oncology, Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, State University of Campinas (UNICAMP)Division of Oncology, Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, State University of Campinas (UNICAMP)Postgraduate Program in Nutrition and Food, Federal University of PelotasDepartment of Agricultural, Food and Nutritional Science, University of AlbertaPostgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do NorteAbstract Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC. In this multicenter cohort study, patients (N = 635) aged 18 years and older with CRC were observed for 12 to 36 months to assess outcomes. Skeletal muscle area (SM) and index (SMI), skeletal muscle radiodensity (SMD), intermuscular adipose tissue (IMAT), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT) were evaluated, and classified based on tertile distributions. Low muscle mass (SMI) and poor muscle composition (SMD) were independent predictors of mortality regardless of follow-up period. This risk of mortality increased to more than 3-fold when combining both low SMI and low SMD (HRadjusted 3.1, 95% CI 1.8 to 5.4, respectively). Our study indicates that body composition characteristics may vary across countries, highlighting the need for developing sex- and population-specific cutoff values for computed tomography assessments in patients with different types of cancer.https://doi.org/10.1038/s41598-024-83082-3Body compositionCancerComputed tomographyMuscle massSurvival |
| spellingShingle | Ana Lúcia Miranda Jarson Pedro da Costa Pereira Iasmin Matias de Sousa Glaucia Mardrini Cassiano Ferreira Mara Rubia de Oliveira Bezerra Gabriela Villaça Chaves Fernanda F. Maciel Leonardo Borges Murad Sara Maria Moreira Lima Verde Sílvia Fernandes Maurício José Barreto Campello Carvalheira Maria Carolina Mendes Maria Cristina Gonzalez Carla M. Prado Ana Paula Trussardi Fayh Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort Scientific Reports Body composition Cancer Computed tomography Muscle mass Survival |
| title | Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort |
| title_full | Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort |
| title_fullStr | Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort |
| title_full_unstemmed | Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort |
| title_short | Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort |
| title_sort | impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer a multicenter cohort |
| topic | Body composition Cancer Computed tomography Muscle mass Survival |
| url | https://doi.org/10.1038/s41598-024-83082-3 |
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