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Published in: Breast Cancer Research and Treatment 2/2018

01-11-2018 | Clinical trial

Prognostic impact of skeletal muscle volume derived from cross-sectional computed tomography images in breast cancer

Authors: Eun Jin Song, Chan Wha Lee, So-Youn Jung, Byeong Nam Kim, Keun Seok Lee, Seeyoun Lee, Han-Sung Kang, In Hae Park, Moo Hyun Lee, Yun Ju Kim, Kyungran Ko, Sohee Kim, Byung-Ho Nam, Eun Sook Lee

Published in: Breast Cancer Research and Treatment | Issue 2/2018

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Abstract

Purpose

This study aimed to determine whether the prognosis of breast cancer is affected by muscle or fat volume as measured from computed tomography (CT) images.

Methods

We identified 1460 patients with chest CT who were diagnosed as having breast cancer at the National Cancer Center, Korea, between January 2001 and December 2009. Using CT images of 10-mm slices, we measured the cross-sectional areas of skeletal muscle and adipose tissue at the 3rd lumbar vertebrae, and derived their volumes. The skeletal muscle volume, fat volume, and muscle-to-fat ratio were evaluated for association with overall survival (OS) and recurrence-free survival (RFS).

Results

The median skeletal muscle and fat volumes among the patients were 93.3 cc (range 39.6–236.9) and 420.1 cc (range 19.5–1392.3), respectively. Patients with higher muscle volume had better prognosis than those with lower muscle volume [hazard ratio (HR) 0.56, 95% confidence interval (CI) 0.34–0.92, P = 0.022 for OS; HR 0.72, 95% CI 0.52–0.99, P = 0.046 for RFS]. However, body mass index (BMI) and fat volume were not associated with prognosis. In addition, muscle volume was a significant prognosticator for OS, regardless of BMI (HR 0.55, 95% CI 0.32–0.93, P = 0.034 in BMI < 25.0; HR 0.44, 95% CI 0.21–0.91, P = 0.026 in BMI ≥ 25.0). Among older patients (≥ 50), those with higher muscle volume showed better OS and RFS (HR 0.44, 95% CI 0.23–0.85, P = 0.015; HR 0.55, 95% CI 0.34–0.90, P = 0.017, respectively).

Conclusion

This study demonstrated that breast cancer patients with higher skeletal muscle volume showed more favorable prognosis.
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Literature
1.
go back to reference Chan DS, Vieira AR, Aune D et al (2014) Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol 25:1901–1914CrossRef Chan DS, Vieira AR, Aune D et al (2014) Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol 25:1901–1914CrossRef
2.
go back to reference La Vecchia C, Giordano SH, Hortobagyi GN, Chabner B (2011) Overweight, obesity, diabetes, and risk of breast cancer: interlocking pieces of the puzzle. Oncologist 16:726–729CrossRef La Vecchia C, Giordano SH, Hortobagyi GN, Chabner B (2011) Overweight, obesity, diabetes, and risk of breast cancer: interlocking pieces of the puzzle. Oncologist 16:726–729CrossRef
3.
go back to reference Sanchez AM, Csibi A, Raibon A, Docquier A et al (2013) eIF3f: a central regulator of the antagonism atrophy/hypertrophy in skeletal muscle. Int J Biochem Cell Biol 45:2158–2162CrossRef Sanchez AM, Csibi A, Raibon A, Docquier A et al (2013) eIF3f: a central regulator of the antagonism atrophy/hypertrophy in skeletal muscle. Int J Biochem Cell Biol 45:2158–2162CrossRef
4.
go back to reference Lecker SH, Jagoe RT, Gilbert A et al (2004) Multiple types of skeletal muscle atrophy involve a common program of changes in gene expression. FASEB J 18:39–51CrossRef Lecker SH, Jagoe RT, Gilbert A et al (2004) Multiple types of skeletal muscle atrophy involve a common program of changes in gene expression. FASEB J 18:39–51CrossRef
5.
go back to reference Bosaeus I, Wilcox G, Rothenberg E, Strauss BJ (2014) Skeletal muscle mass in hospitalized elderly patients: comparison of measurements by single-frequency BIA and DXA. Clin Nutr 33:426–431CrossRef Bosaeus I, Wilcox G, Rothenberg E, Strauss BJ (2014) Skeletal muscle mass in hospitalized elderly patients: comparison of measurements by single-frequency BIA and DXA. Clin Nutr 33:426–431CrossRef
6.
go back to reference Cauza E, Strehblow C, Metz-Schimmerl S et al (2009) Effects of progressive strength training on muscle mass in type 2 diabetes mellitus patients determined by computed tomography. Wien Med Wochenschr 159:141–147CrossRef Cauza E, Strehblow C, Metz-Schimmerl S et al (2009) Effects of progressive strength training on muscle mass in type 2 diabetes mellitus patients determined by computed tomography. Wien Med Wochenschr 159:141–147CrossRef
7.
go back to reference Fearon K, Strasser F, Anker SD et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12:489–495CrossRef Fearon K, Strasser F, Anker SD et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12:489–495CrossRef
8.
go back to reference Fearon KC, Glass DJ, Guttridge DC (2012) Cancer cachexia: mediators, signaling, and metabolic pathways. Cell Metab 16:153–166CrossRef Fearon KC, Glass DJ, Guttridge DC (2012) Cancer cachexia: mediators, signaling, and metabolic pathways. Cell Metab 16:153–166CrossRef
9.
go back to reference Johns N, Stephens NA, Fearon KC (2013) Muscle wasting in cancer. Int J Biochem Cell Biol 45:2215–2229CrossRef Johns N, Stephens NA, Fearon KC (2013) Muscle wasting in cancer. Int J Biochem Cell Biol 45:2215–2229CrossRef
10.
go back to reference van de Bool C, Gosker HR, van den Borst B, Op den Kamp CM, Slot IG, Schols AM (2016) Muscle quality is more impaired in sarcopenic patients with chronic obstructive pulmonary disease. J Am Med Dir Assoc 17:415–420CrossRef van de Bool C, Gosker HR, van den Borst B, Op den Kamp CM, Slot IG, Schols AM (2016) Muscle quality is more impaired in sarcopenic patients with chronic obstructive pulmonary disease. J Am Med Dir Assoc 17:415–420CrossRef
11.
go back to reference Ryan AS, Ivey FM, Prior S, Li G, Hafer-Macko C (2011) Skeletal muscle hypertrophy and muscle myostatin reduction after resistive training in stroke survivors. Stroke 42:416–420CrossRef Ryan AS, Ivey FM, Prior S, Li G, Hafer-Macko C (2011) Skeletal muscle hypertrophy and muscle myostatin reduction after resistive training in stroke survivors. Stroke 42:416–420CrossRef
12.
go back to reference Baracos V, Kazemi-Bajestani SM (2013) Clinical outcomes related to muscle mass in humans with cancer and catabolic illnesses. Int J Biochem Cell Biol 45:2302–2308CrossRef Baracos V, Kazemi-Bajestani SM (2013) Clinical outcomes related to muscle mass in humans with cancer and catabolic illnesses. Int J Biochem Cell Biol 45:2302–2308CrossRef
13.
go back to reference Shen W, Punyanitya M, Wang Z et al (2004) Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol 97:2333–2338CrossRef Shen W, Punyanitya M, Wang Z et al (2004) Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol 97:2333–2338CrossRef
14.
go back to reference Shen W, Punyanitya M, Wang Z et al (2004) Visceral adipose tissue: relations between single-slice areas and total volume. Am J Clin Nutr 80:271–278CrossRef Shen W, Punyanitya M, Wang Z et al (2004) Visceral adipose tissue: relations between single-slice areas and total volume. Am J Clin Nutr 80:271–278CrossRef
15.
go back to reference Shen W, Punyanitya M, Chen J et al (2007) Visceral adipose tissue: relationships between single slice areas at different locations and obesity-related health risks. Int J Obes 31:763–769CrossRef Shen W, Punyanitya M, Chen J et al (2007) Visceral adipose tissue: relationships between single slice areas at different locations and obesity-related health risks. Int J Obes 31:763–769CrossRef
16.
go back to reference Prado CM, Lieffers JR, McCargar LJ, Reiman T, Sawyer MB, Martin L, Baracos VE (2008) Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol 9:629–635CrossRef Prado CM, Lieffers JR, McCargar LJ, Reiman T, Sawyer MB, Martin L, Baracos VE (2008) Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol 9:629–635CrossRef
17.
go back to reference Kelly TL, Wilson KE, Heymsfield SB (2009) Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS ONE 4:e7038CrossRef Kelly TL, Wilson KE, Heymsfield SB (2009) Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS ONE 4:e7038CrossRef
18.
go back to reference Bouche KG, Vanovermeire O, Stevens VK et al (2011) Computed tomographic analysis of the quality of trunk muscles in asymptomatic and symptomatic lumbar discectomy patients. BMC Musculoskelet Disord 12:65CrossRef Bouche KG, Vanovermeire O, Stevens VK et al (2011) Computed tomographic analysis of the quality of trunk muscles in asymptomatic and symptomatic lumbar discectomy patients. BMC Musculoskelet Disord 12:65CrossRef
19.
go back to reference Villasenor A, Ballard-Barbash R, Baumgartner K, Baumgartner R, Bernstein L, McTiernan A, Neuhouser ML (2012) Prevalence and prognostic effect of sarcopenia in breast cancer survivors: the HEAL Study. J Cancer Surviv 6:398–406CrossRef Villasenor A, Ballard-Barbash R, Baumgartner K, Baumgartner R, Bernstein L, McTiernan A, Neuhouser ML (2012) Prevalence and prognostic effect of sarcopenia in breast cancer survivors: the HEAL Study. J Cancer Surviv 6:398–406CrossRef
20.
go back to reference Abdel Razek AA, Gaballa G, Denewer A, Tawakol I (2010) Diffusion weighted MR imaging of the breast. Acad Radiol 17:382–386CrossRef Abdel Razek AA, Gaballa G, Denewer A, Tawakol I (2010) Diffusion weighted MR imaging of the breast. Acad Radiol 17:382–386CrossRef
21.
go back to reference Razek AA, Gaballa G, Denewer A, Nada N (2010) Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors. NMR Biomed 23:619–623CrossRef Razek AA, Gaballa G, Denewer A, Nada N (2010) Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors. NMR Biomed 23:619–623CrossRef
22.
go back to reference Razek AA, Tawfik AM, Elsorogy LG, Soliman NY (2014) Perfusion CT of head and neck cancer. Eur J Radiol 83:537–544CrossRef Razek AA, Tawfik AM, Elsorogy LG, Soliman NY (2014) Perfusion CT of head and neck cancer. Eur J Radiol 83:537–544CrossRef
23.
go back to reference Razek AA, Lattif MA, Denewer A et al (2016) Assessment of axillary lymph nodes in patients with breast cancer with diffusion-weighted MR imaging in combination with routine and dynamic contrast MR imaging. Breast Cancer 23:525–532CrossRef Razek AA, Lattif MA, Denewer A et al (2016) Assessment of axillary lymph nodes in patients with breast cancer with diffusion-weighted MR imaging in combination with routine and dynamic contrast MR imaging. Breast Cancer 23:525–532CrossRef
Metadata
Title
Prognostic impact of skeletal muscle volume derived from cross-sectional computed tomography images in breast cancer
Authors
Eun Jin Song
Chan Wha Lee
So-Youn Jung
Byeong Nam Kim
Keun Seok Lee
Seeyoun Lee
Han-Sung Kang
In Hae Park
Moo Hyun Lee
Yun Ju Kim
Kyungran Ko
Sohee Kim
Byung-Ho Nam
Eun Sook Lee
Publication date
01-11-2018
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 2/2018
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-018-4915-7

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