Influence of Body Composition Assessed by Computed Tomography on Mortality Risk in Young Women with Breast Cancer
/ Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However, alterations in body composition, particularly among young women (<40 years), remain largely unknown and underexplored. This study aimed to investigate the relationship...
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Published in | Nutrients Vol. 16; no. 18; p. 3175 |
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Language | English |
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Abstract | /
Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However, alterations in body composition, particularly among young women (<40 years), remain largely unknown and underexplored. This study aimed to investigate the relationship of computed tomography (CT)-derived body composition with mortality rates among young women recently diagnosed with breast cancer, identifying the best-correlated cutoff value.
This is a bi-set cohort study with retrospective data collection. Women newly diagnosed with ductal invasive breast cancer, aged 20 to 40 years, treated in reference oncology units were included. Body composition was assessed using CT scans at the third lumbar vertebra (L3) level, including muscle and adipose compartments. The outcome of interest was the incidence of overall mortality. A maximally selected log-rank Cox-derived analysis was employed to assess the cutoffs associated with mortality.
A total of 192 women were included before any form of treatment (median age of 35 years, IQ range: 31-37). Overall mortality occurred in 12% of the females. Stages III-IV were the most frequent (69.5%). Patients who died had a significantly lower muscle area index. CT-derived muscle area was inversely associated with mortality. Each 1 cm
/m
decrease in skeletal muscle index increased the mortality hazard by 9%. Higher values of adiposity compartments were independently associated with higher mortality.
Our study highlights the predictive significance of skeletal muscle area and adipose tissue in predicting survival among young women recently diagnosed with breast cancer. |
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AbstractList | Background/Objectives: Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However, alterations in body composition, particularly among young women (<40 years), remain largely unknown and underexplored. This study aimed to investigate the relationship of computed tomography (CT)-derived body composition with mortality rates among young women recently diagnosed with breast cancer, identifying the best-correlated cutoff value. Methods: This is a bi-set cohort study with retrospective data collection. Women newly diagnosed with ductal invasive breast cancer, aged 20 to 40 years, treated in reference oncology units were included. Body composition was assessed using CT scans at the third lumbar vertebra (L3) level, including muscle and adipose compartments. The outcome of interest was the incidence of overall mortality. A maximally selected log-rank Cox-derived analysis was employed to assess the cutoffs associated with mortality. Results: A total of 192 women were included before any form of treatment (median age of 35 years, IQ range: 31–37). Overall mortality occurred in 12% of the females. Stages III–IV were the most frequent (69.5%). Patients who died had a significantly lower muscle area index. CT-derived muscle area was inversely associated with mortality. Each 1 cm2/m2 decrease in skeletal muscle index increased the mortality hazard by 9%. Higher values of adiposity compartments were independently associated with higher mortality. Conclusions: Our study highlights the predictive significance of skeletal muscle area and adipose tissue in predicting survival among young women recently diagnosed with breast cancer. Background/Objectives: Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However, alterations in body composition, particularly among young women (<40 years), remain largely unknown and underexplored. This study aimed to investigate the relationship of computed tomography (CT)-derived body composition with mortality rates among young women recently diagnosed with breast cancer, identifying the best-correlated cutoff value. Methods: This is a bi-set cohort study with retrospective data collection. Women newly diagnosed with ductal invasive breast cancer, aged 20 to 40 years, treated in reference oncology units were included. Body composition was assessed using CT scans at the third lumbar vertebra (L3) level, including muscle and adipose compartments. The outcome of interest was the incidence of overall mortality. A maximally selected log-rank Cox-derived analysis was employed to assess the cutoffs associated with mortality. Results: A total of 192 women were included before any form of treatment (median age of 35 years, IQ range: 31-37). Overall mortality occurred in 12% of the females. Stages III-IV were the most frequent (69.5%). Patients who died had a significantly lower muscle area index. CT-derived muscle area was inversely associated with mortality. Each 1 cm2/m2 decrease in skeletal muscle index increased the mortality hazard by 9%. Higher values of adiposity compartments were independently associated with higher mortality. Conclusions: Our study highlights the predictive significance of skeletal muscle area and adipose tissue in predicting survival among young women recently diagnosed with breast cancer.Background/Objectives: Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However, alterations in body composition, particularly among young women (<40 years), remain largely unknown and underexplored. This study aimed to investigate the relationship of computed tomography (CT)-derived body composition with mortality rates among young women recently diagnosed with breast cancer, identifying the best-correlated cutoff value. Methods: This is a bi-set cohort study with retrospective data collection. Women newly diagnosed with ductal invasive breast cancer, aged 20 to 40 years, treated in reference oncology units were included. Body composition was assessed using CT scans at the third lumbar vertebra (L3) level, including muscle and adipose compartments. The outcome of interest was the incidence of overall mortality. A maximally selected log-rank Cox-derived analysis was employed to assess the cutoffs associated with mortality. Results: A total of 192 women were included before any form of treatment (median age of 35 years, IQ range: 31-37). Overall mortality occurred in 12% of the females. Stages III-IV were the most frequent (69.5%). Patients who died had a significantly lower muscle area index. CT-derived muscle area was inversely associated with mortality. Each 1 cm2/m2 decrease in skeletal muscle index increased the mortality hazard by 9%. Higher values of adiposity compartments were independently associated with higher mortality. Conclusions: Our study highlights the predictive significance of skeletal muscle area and adipose tissue in predicting survival among young women recently diagnosed with breast cancer. Background / Objectives: Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However, alterations in body composition, particularly among young women (<40 years), remain largely unknown and underexplored. This study aimed to investigate the relationship of computed tomography (CT)-derived body composition with mortality rates among young women recently diagnosed with breast cancer, identifying the best-correlated cutoff value. Methods: This is a bi-set cohort study with retrospective data collection. Women newly diagnosed with ductal invasive breast cancer, aged 20 to 40 years, treated in reference oncology units were included. Body composition was assessed using CT scans at the third lumbar vertebra (L3) level, including muscle and adipose compartments. The outcome of interest was the incidence of overall mortality. A maximally selected log-rank Cox-derived analysis was employed to assess the cutoffs associated with mortality. Results: A total of 192 women were included before any form of treatment (median age of 35 years, IQ range: 31–37). Overall mortality occurred in 12% of the females. Stages III–IV were the most frequent (69.5%). Patients who died had a significantly lower muscle area index. CT-derived muscle area was inversely associated with mortality. Each 1 cm 2 /m 2 decrease in skeletal muscle index increased the mortality hazard by 9%. Higher values of adiposity compartments were independently associated with higher mortality. Conclusions: Our study highlights the predictive significance of skeletal muscle area and adipose tissue in predicting survival among young women recently diagnosed with breast cancer. / Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However, alterations in body composition, particularly among young women (<40 years), remain largely unknown and underexplored. This study aimed to investigate the relationship of computed tomography (CT)-derived body composition with mortality rates among young women recently diagnosed with breast cancer, identifying the best-correlated cutoff value. This is a bi-set cohort study with retrospective data collection. Women newly diagnosed with ductal invasive breast cancer, aged 20 to 40 years, treated in reference oncology units were included. Body composition was assessed using CT scans at the third lumbar vertebra (L3) level, including muscle and adipose compartments. The outcome of interest was the incidence of overall mortality. A maximally selected log-rank Cox-derived analysis was employed to assess the cutoffs associated with mortality. A total of 192 women were included before any form of treatment (median age of 35 years, IQ range: 31-37). Overall mortality occurred in 12% of the females. Stages III-IV were the most frequent (69.5%). Patients who died had a significantly lower muscle area index. CT-derived muscle area was inversely associated with mortality. Each 1 cm /m decrease in skeletal muscle index increased the mortality hazard by 9%. Higher values of adiposity compartments were independently associated with higher mortality. Our study highlights the predictive significance of skeletal muscle area and adipose tissue in predicting survival among young women recently diagnosed with breast cancer. |
Audience | Academic |
Author | de Lima Bezerra, Agnes Denise Ferreira, Glaucia Mardrini Cassiano de Medeiros, Galtieri Otávio Cunha Fayh, Ana Paula Trussardi Verde, Sara Maria Moreira Lima de Macedo Soares, Ingryd Fernandes da Costa Pereira, Jarson Pedro Miranda, Ana Lúcia |
AuthorAffiliation | 3 Postgraduate Program in Nutrition and Health, State University of Ceara, Fortaleza 60714-903, Brazil; ingrydfernandes@hotmail.com (I.F.d.M.S.); sara.maria@uece.br (S.M.M.L.V.) 4 PesqClin Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH), Federal University of Rio Grande do Norte, Natal 59078-970, Brazil 2 Postgraduate Program in Nutrition, Department of Nutrition, Federal University of Pernambuco, Recife 50670-901, Brazil; jarson.costa@ufpe.br 1 Postgraduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil; agnes_denise@hotmail.com (A.D.d.L.B.); glauciamardrine@yahoo.com.br (G.M.C.F.); analucia_nutri@yahoo.com.br (A.L.M.); galtieri_otavio@yahoo.com.br (G.O.C.d.M.) |
AuthorAffiliation_xml | – name: 2 Postgraduate Program in Nutrition, Department of Nutrition, Federal University of Pernambuco, Recife 50670-901, Brazil; jarson.costa@ufpe.br – name: 4 PesqClin Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH), Federal University of Rio Grande do Norte, Natal 59078-970, Brazil – name: 3 Postgraduate Program in Nutrition and Health, State University of Ceara, Fortaleza 60714-903, Brazil; ingrydfernandes@hotmail.com (I.F.d.M.S.); sara.maria@uece.br (S.M.M.L.V.) – name: 1 Postgraduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil; agnes_denise@hotmail.com (A.D.d.L.B.); glauciamardrine@yahoo.com.br (G.M.C.F.); analucia_nutri@yahoo.com.br (A.L.M.); galtieri_otavio@yahoo.com.br (G.O.C.d.M.) |
Author_xml | – sequence: 1 givenname: Agnes Denise surname: de Lima Bezerra fullname: de Lima Bezerra, Agnes Denise organization: Postgraduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil – sequence: 2 givenname: Jarson Pedro surname: da Costa Pereira fullname: da Costa Pereira, Jarson Pedro organization: Postgraduate Program in Nutrition, Department of Nutrition, Federal University of Pernambuco, Recife 50670-901, Brazil – sequence: 3 givenname: Ingryd Fernandes surname: de Macedo Soares fullname: de Macedo Soares, Ingryd Fernandes organization: Postgraduate Program in Nutrition and Health, State University of Ceara, Fortaleza 60714-903, Brazil – sequence: 4 givenname: Glaucia Mardrini Cassiano surname: Ferreira fullname: Ferreira, Glaucia Mardrini Cassiano organization: Postgraduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil – sequence: 5 givenname: Ana Lúcia surname: Miranda fullname: Miranda, Ana Lúcia organization: Postgraduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil – sequence: 6 givenname: Galtieri Otávio Cunha orcidid: 0000-0002-8672-0126 surname: de Medeiros fullname: de Medeiros, Galtieri Otávio Cunha organization: Postgraduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil – sequence: 7 givenname: Sara Maria Moreira Lima orcidid: 0000-0002-7733-0214 surname: Verde fullname: Verde, Sara Maria Moreira Lima organization: Postgraduate Program in Nutrition and Health, State University of Ceara, Fortaleza 60714-903, Brazil – sequence: 8 givenname: Ana Paula Trussardi surname: Fayh fullname: Fayh, Ana Paula Trussardi organization: PesqClin Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH), Federal University of Rio Grande do Norte, Natal 59078-970, Brazil |
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Keywords | muscle mass mortality breast cancer body composition prognosis fat mass |
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Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However, alterations in body... Background/Objectives: Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However,... Background / Objectives: Increasing evidence indicates that body composition can significantly influence prognosis in women with breast cancer. However,... |
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SubjectTerms | Adiposity Adult Aging Body Composition Body fat Body mass index Brazil Breast cancer Breast Neoplasms - diagnostic imaging Breast Neoplasms - mortality Clinical outcomes Cohort Studies CT imaging Data collection Electronic health records fat mass Female Females Humans Investigations Medical imaging Medical prognosis Medical records Mortality muscle mass Muscle, Skeletal - diagnostic imaging Muscles Musculoskeletal system Obesity Oncology Physiological aspects Prognosis Retrospective Studies Risk Factors Sociodemographics Tomography Tomography, X-Ray Computed - methods Type 2 diabetes Womens health Young Adult Young women |
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Title | Influence of Body Composition Assessed by Computed Tomography on Mortality Risk in Young Women with Breast Cancer |
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