Skip to main content

Advertisement

Log in

Optimal Cutoff Values of Skeletal Muscle Index to Define Sarcopenia for Prediction of Survival in Patients with Advanced Gastric Cancer

  • Gastrointestinal Oncology
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Background

Sarcopenia, characterized by loss of skeletal muscle mass, is recognized as a prognostic factor in patients with gastric cancer. However, wide variability exists in the cutoff values of muscle mass for defining sarcopenia across previous studies, and the best cutoff values to predict survival remain unknown. This study aimed to determine the optimal cutoff values for sarcopenia to predict survival in patients with advanced gastric cancer.

Patients and Methods

Patients with clinical stage II/III gastric cancer who underwent gastrectomy at Kyoto University Hospital were included in the study. The cross-sectional area of skeletal muscle at the third lumbar vertebra level was measured using preoperative computed tomography scan. The skeletal muscle index (SMI) was calculated by dividing the area by height in meters squared. Five sex-specific cutoffs of SMI, which were significantly associated with prognosis in patients with gastric and nongastric cancers, were examined as a threshold to define sarcopenia.

Results

In the 177 eligible patients, the five cutoffs of SMI resulted in an incidence of sarcopenia between 6 (3%) and 114 (64%). The 5-year overall survival was 48% in patients with sarcopenia based on the cutoffs reported by Martin et al., compared with 68% in those without sarcopenia (p = 0.013). A multivariate regression model demonstrated that sarcopenia based on the cutoffs was significantly associated with overall survival (hazard ratio 2.00, 95% confidence interval 1.24–3.24, p = 0.005).

Conclusions

The cutoff values reported by Martin et al. were optimal to predict survival in patients with advanced gastric cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. World Health Organization. Cancer. Available: http://www.who.int/mediacentre/factsheets/fs297/en/. Accessed 24 Mar 2018.

  2. Shachar SS, Williams GR, Muss HB, Nishijima TF. Prognostic value of sarcopenia in adults with solid tumours: a meta-analysis and systematic review. Eur J Cancer. 2016;57:58–67.

    Article  PubMed  Google Scholar 

  3. Prado CM, Lieffers JR, McCargar LJ, et al. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol. 2008;9:629–635.

    Article  PubMed  Google Scholar 

  4. Martin L, Birdsell L, Macdonald N, et al. Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol. 2013;31:1539–1547.

    Article  PubMed  Google Scholar 

  5. Sakurai K, Kubo N, Tamura T, et al. Adverse effects of low preoperative skeletal muscle mass in patients undergoing gastrectomy for gastric cancer. Ann Surg Oncol. 2017;24:2712–2719.

    Article  PubMed  Google Scholar 

  6. Zhuang CL, Huang DD, Pang WY, et al. Sarcopenia is an independent predictor of severe postoperative complications and long-term survival after radical gastrectomy for gastric cancer: analysis from a large-scale cohort. Medicine (Baltimore). 2016;95:e3164.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Wang SL, Zhuang CL, Huang DD, et al. Sarcopenia adversely impacts postoperative clinical outcomes following gastrectomy in patients with gastric cancer: a prospective study. Ann Surg Oncol. 2016;23:556–564.

    Article  PubMed  Google Scholar 

  8. Kudou K, Saeki H, Nakashima Y, et al. Prognostic significance of sarcopenia in patients with esophagogastric junction cancer or upper gastric cancer. Ann Surg Oncol. 2017;24:1804–1810.

    Article  PubMed  Google Scholar 

  9. Japanese Gastric Cancer Association. Japanese classification of gastric carcinoma, third english edition. Gastric Cancer. 2011;14:101–112.

    Article  Google Scholar 

  10. Japanese Gastric Cancer Society. Guidelines for diagnosis and treatment of carcinoma of the stomach april 2004 edition. Available: http://www.jgca.jp/pdf/Guidelines2004_eng.pdf. Accessed 24 Mar 2018.

  11. Japanese Gastric Cancer Association. Japanese gastric cancer treatment guidelines 2010 (ver. 3). Gastric Cancer. 2011;14:113–123.

    Article  Google Scholar 

  12. Okabe H, Tsunoda S, Obama K, et al. Feasibility of laparoscopic radical gastrectomy for gastric cancer of clinical stage II or higher: early outcomes in a phase II study (KUGC04). Ann Surg Oncol. 2016;23:516–523.

    Article  PubMed  Google Scholar 

  13. Uyama I, Okabe H, Kojima K, et al. Gastroenterological surgery: stomach. Asian J Endosc Surg. 2015;8:227–238.

    Article  PubMed  Google Scholar 

  14. Tsunoda S, Okabe H, Obama K, et al. Short-term outcomes of totally laparoscopic total gastrectomy: experience with the first consecutive 112 cases. World J Surg. 2014;38:2662–2667.

    Article  PubMed  Google Scholar 

  15. Obama K, Okabe H, Hosogi H, Tanaka E, Itami A, Sakai Y. Feasibility of laparoscopic gastrectomy with radical lymph node dissection for gastric cancer: from a viewpoint of pancreas-related complications. Surgery. 2011;149:15–21.

    Article  PubMed  Google Scholar 

  16. Okabe H, Obama K, Kan T, Tanaka E, Itami A, Sakai Y. Medial approach for laparoscopic total gastrectomy with splenic lymph node dissection. J Am Coll Surg. 2010;211:e1–e6.

    Article  PubMed  Google Scholar 

  17. Okabe H, Hata H, Ueda S, et al. A phase II study of neoadjuvant chemotherapy with S-1 and cisplatin for stage III gastric cancer: KUGC03. J Surg Oncol. 2016;113:36–41.

    Article  CAS  PubMed  Google Scholar 

  18. Sakuramoto S, Sasako M, Yamaguchi T, et al. Adjuvant chemotherapy for gastric cancer with S-1, an oral fluoropyrimidine. N Engl J Med. 2007;357:1810–1820.

    Article  CAS  PubMed  Google Scholar 

  19. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–383.

    Article  CAS  PubMed  Google Scholar 

  20. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010;39:412–423.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Mourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab. 2008;33:997–1006.

    Article  PubMed  Google Scholar 

  22. Tokunaga K, Matsuzawa Y, Ishikawa K, Tarui S. A novel technique for the determination of body fat by computed tomography. Int J Obes. 1983;7:437–445.

    CAS  PubMed  Google Scholar 

  23. Kvist H, Chowdhury B, Sjostrom L, Tylen U, Cederblad A. Adipose tissue volume determination in males by computed tomography and 40 K. Int J Obes. 1988;12:249–266.

    CAS  PubMed  Google Scholar 

  24. Iritani S, Imai K, Takai K, et al. Skeletal muscle depletion is an independent prognostic factor for hepatocellular carcinoma. J Gastroenterol. 2015;50:323–332.

    Article  CAS  PubMed  Google Scholar 

  25. Chung J-Y, Kang H-T, Lee D-C, Lee H-R, Lee Y-J. Body composition and its association with cardiometabolic risk factors in the elderly: a focus on sarcopenic obesity. Arch Gerontol Geriatr. 2013;56:270–278.

    Article  PubMed  Google Scholar 

  26. Lim S, Kim JH, Yoon JW, et al. Sarcopenic obesity: prevalence and association with metabolic syndrome in the Korean Longitudinal Study on Health and Aging (KLoSHA). Diabetes Care. 2010;33:1652–1654.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Tan BH, Birdsell LA, Martin L, Baracos VE, Fearon KC. Sarcopenia in an overweight or obese patient is an adverse prognostic factor in pancreatic cancer. Clin Cancer Res. 2009;15:6973–6979.

    Article  CAS  PubMed  Google Scholar 

  28. Kobayashi A, Kaido T, Hamaguchi Y, et al. Impact of sarcopenic obesity on outcomes in patients undergoing hepatectomy for hepatocellular carcinoma. Ann Surg. 2017. https://doi.org/10.1097/sla.0000000000002555. [Epub ahead of print]

  29. Lu CW, Yang KC, Chang HH, Lee LT, Chen CY, Huang KC. Sarcopenic obesity is closely associated with metabolic syndrome. Obes Res Clin Pract. 2013;7:e301–e307.

    Article  PubMed  Google Scholar 

  30. Lim KI, Yang SJ, Kim TN, et al. The association between the ratio of visceral fat to thigh muscle area and metabolic syndrome: the Korean Sarcopenic Obesity Study (KSOS). Clin Endocrinol (Oxf). 2010;73:588–594.

    Article  CAS  Google Scholar 

  31. Baek SJ, Nam GE, Han KD, et al. Sarcopenia and sarcopenic obesity and their association with dyslipidemia in Korean elderly men: the 2008–2010 Korea National Health and Nutrition Examination Survey. J Endocrinol Invest. 2014;37:247–260.

    Article  CAS  PubMed  Google Scholar 

  32. Lu CW, Yang KC, Chang HH, Lee LT, Chen CY, Huang KC. Sarcopenic obesity is closely associated with metabolic syndrome. Obes Res Clin Pract. 2013;7:e301–e307.

    Article  PubMed  Google Scholar 

  33. WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363:157–163.

    Article  Google Scholar 

  34. Kanazawa M, Yoshiike N, Osaka T, Numba Y, Zimmet P, Inoue S. Criteria and classification of obesity in Japan and Asia–Oceania. World Rev Nutr Diet. 2005;94:1–12.

    PubMed  Google Scholar 

  35. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147:573–577.

    Article  Google Scholar 

  36. Altman DG, Lausen B, Sauerbrei W, Schumacher M. Dangers of using “optimal” cutpoints in the evaluation of prognostic factors. J Natl Cancer Inst. 1994;86:829–835.

    Article  CAS  PubMed  Google Scholar 

  37. Sharma P, Zargar-Shoshtari K, Caracciolo JT, et al. Sarcopenia as a predictor of overall survival after cytoreductive nephrectomy for metastatic renal cell carcinoma. Urol Oncol. 2015;33:339.e317–339.e323.

    Google Scholar 

  38. Meza-Junco J, Montano-Loza AJ, Baracos VE, et al. Sarcopenia as a prognostic index of nutritional status in concurrent cirrhosis and hepatocellular carcinoma. J Clin Gastroenterol. 2013;47:861–870.

    Article  PubMed  Google Scholar 

  39. Fukushima H, Yokoyama M, Nakanishi Y, Tobisu K, Koga F. Sarcopenia as a prognostic biomarker of advanced urothelial carcinoma. PLoS One. 2015;10:e0115895.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  40. Fukushima H, Nakanishi Y, Kataoka M, Tobisu K, Koga F. Prognostic significance of sarcopenia in patients with metastatic renal cell carcinoma. J Urol. 2016;195:26–32.

    Article  PubMed  Google Scholar 

  41. Begini P, Gigante E, Antonelli G, et al. Sarcopenia predicts reduced survival in patients with hepatocellular carcinoma at first diagnosis. Ann Hepatol. 2017;16:107–114.

    Article  PubMed  Google Scholar 

  42. Pedersen BK, Febbraio MA. Muscles, exercise and obesity: skeletal muscle as a secretory organ. Nat Rev Endocrinol. 2012;8:457–465.

    Article  CAS  PubMed  Google Scholar 

  43. Tan BH, Brammer K, Randhawa N, et al. Sarcopenia is associated with toxicity in patients undergoing neo-adjuvant chemotherapy for oesophago-gastric cancer. Eur J Surg Oncol. 2015;41:333–338.

    Article  CAS  PubMed  Google Scholar 

  44. Antoun S, Borget I, Lanoy E. Impact of sarcopenia on the prognosis and treatment toxicities in patients diagnosed with cancer. Curr Opin Support Palliat Care. 2013;7:383–389.

    Article  PubMed  Google Scholar 

  45. Margetts BM, Nelson M. Nutrition epidemiology. Oxford: Oxford University Press; 1997.

    Google Scholar 

  46. Wakabayashi H, Sakuma K. Rehabilitation nutrition for sarcopenia with disability: a combination of both rehabilitation and nutrition care management. J Cachexia Sarcopenia Muscle. 2014;5:269–277.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shigeru Tsunoda MD, PhD.

Ethics declarations

Disclosure

The authors declare no conflicts of interest.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 511 kb)

Supplementary material 2 (DOCX 16 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nishigori, T., Tsunoda, S., Obama, K. et al. Optimal Cutoff Values of Skeletal Muscle Index to Define Sarcopenia for Prediction of Survival in Patients with Advanced Gastric Cancer. Ann Surg Oncol 25, 3596–3603 (2018). https://doi.org/10.1245/s10434-018-6728-7

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-018-6728-7

Keywords

Navigation