Abstract
Background
The relationship between sarcopenia and prognosis of gastric cancer (GC) is unclear. This study aimed to develop a prognostic scoring system combining sarcopenia with preoperative clinical parameters for patients with GC to predict 3-year overall survival (OS) and 3-year recurrence-free survival (RFS).
Methods
In this study, 924 patients with GC who underwent radical gastrectomy were retrospectively analyzed. The data were divided into a training set and a validation set. Sarcopenia was diagnosed by the cutoff value of the skeletal muscle index (SMI) obtained by X-tile software. The study used COX regression to identify preoperative risk factors associated with 3-year OS and RFS.
Results
In the training set, 103 patients (14.8%) were sarcopenic based on the cutoff value of the SMI (32.5 cm2/m2 for men and 28.6 cm2/m2 for women). Multivariate analysis showed the following preoperative risk factors for the training set: sarcopenia and preoperative T (cT) and N (cN) stages. A prognostic scoring system was developed based on these findings. The 3-year OS rates were 89% for the low-risk patients, 77.9% for the intermediate-risk patients, and 54.8% for the high-risk patients (P < 0.001), and the 3-year RFS rates were respectively 86.9, 75.3 and 49.3% (P < 0.001). The area under the receiver operating characteristic curves were 0.708 for the 3-year OS rates and 0.713 for the 3-year RFS rates. The observed and predicted incidence rates for 3-year OS and RFS in the validation set did not differ significantly.
Conclusions
The prognostic scoring system combining sarcopenia with the cT and cN system can accurately predict 3-year OS and RFS rates after radical gastrectomy for GC.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1245%2Fs10434-017-5813-7/MediaObjects/10434_2017_5813_Fig1_HTML.gif)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1245%2Fs10434-017-5813-7/MediaObjects/10434_2017_5813_Fig2_HTML.gif)
Similar content being viewed by others
References
Jemal A, Siegel R, Xu J, Ward E. Cancer statistics, 2010. CA Cancer J Clin. 2010;5:277–300.
Sasako M, Sano T, Yamamoto S, et al. D2 lymphadenectomy alone or with para-aortic nodal dissection for gastric cancer. N Engl J Med. 2008;5:453–62.
Iritani S, Imai K, Takai K, et al. Skeletal muscle depletion is an independent prognostic factor for hepatocellular carcinoma. J Gastroenterol. 2015;3:323–32.
Miyamoto Y, Baba Y, Sakamoto Y, et al. Sarcopenia is a negative prognostic factor after curative resection of colorectal cancer. Ann Surg Oncol. 2015;8:2663–8.
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;22:6973–9.
Sabel MS, Lee J, Cai S, Englesbe MJ, Holcombe S, Wang S. Sarcopenia as a prognostic factor among patients with stage III melanoma. Ann Surg Oncol. 2011;13:3579–85.
Tamandl D, Paireder M, Asari R, Baltzer PA, Schoppmann SF, Ba-Ssalamah A. Markers of sarcopenia quantified by computed tomography predict adverse long-term outcome in patients with resected oesophageal or gastro-oesophageal junction cancer. Eur Radiol. 2016;5:1359–67.
Japanese Gastric Cancer Association. Japanese gastric cancer treatment guidelines 2010 (ver. 3). Gastric Cancer. 2011;2:113–23.
Dello SA, Lodewick TM, van Dam RM, et al. Sarcopenia negatively affects preoperative total functional liver volume in patients undergoing liver resection. HPB Oxford. 2013;3:165–9.
Mitsiopoulos N, Baumgartner RN, Heymsfield SB, Lyons W, Gallagher D, Ross R. Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. J Appl Physiol 1985. 1998;1:115–22.
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;7:629–35.
Edge SB, Byrd DR, Compton CC, et al. AJCC Cancer Staging Manual. 7th ed. Springer, New York, 2009.
Kim HJ, Kim AY, Oh ST, et al. Gastric cancer staging at multi-detector row CT gastrography: comparison of transverse and volumetric CT scanning. Radiology. 2005;3:879–85.
Dorfman RE, Alpern MB, Gross BH, Sandler MA. Upper abdominal lymph nodes: criteria for normal size determined with CT. Radiology. 1991;2:319–22.
Yang DM, Kim HC, ** W, et al. 64-Multidetector-row computed tomography for preoperative evaluation of gastric cancer: histological correlation. J Comput Assist Tomogr. 2007;1:98–103.
Camp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bioinformatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004;21:7252–9.
Guan X, Chen W, Jiang Z, et al. Exploration of the optimal minimum lymph node count after colon cancer resection for patients aged 80 years and older. Sci Rep. 2016. doi:10.1038/srep38901.
Cheng C, Wang R, Li Y, et al. EGFR Exon 18 mutations in East Asian patients with lung adenocarcinomas: a comprehensive investigation of prevalence, clinicopathologic characteristics, and prognosis. Sci Rep. 2015. doi:10.1038/srep13959
Gervaz P, Bandiera-Clerc C, Buchs NC, et al. Scoring system to predict the risk of surgical-site infection after colorectal resection. Br J Surg. 2012;4:589–95.
Fielding RA, Vellas B, Evans WJ, et al. Sarcopenia: an undiagnosed condition in older adults: current consensus definition: prevalence, etiology, and consequences. international working group on Sarcopenia. J Am Med Dir Assoc. 2011;4:249–56.
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;4:412–23.
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;12:1539–47.
Chen LK, Liu LK, Woo J, et al. Sarcopenia in Asia: consensus report of the asian working group for Sarcopenia. J Am Med Dir Assoc. 2014;2:95–101.
Chen LK, Lee WJ, Peng LN, Liu LK, Arai H, Akishita M. Recent advances in sarcopenia research in Asia: 2016 update from the asian working group for Sarcopenia. J Am Med Dir Assoc. 2016;8:761–7.
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. Med Baltimore. 2016;13:e3164.
Becker K, Reim D, Novotny A, et al. Proposal for a multifactorial prognostic score that accurately classifies 3 groups of gastric carcinoma patients with different outcomes after neoadjuvant chemotherapy and surgery. Ann Surg. 2012;6:1002–7.
Kattan MW, Karpeh MS, Mazumdar M, Brennan MF. Postoperative nomogram for disease-specific survival after an R0 resection for gastric carcinoma. J Clin Oncol. 2003;19:3647–50.
Han DS, Suh YS, Kong SH, et al. Nomogram predicting long-term survival after D2 gastrectomy for gastric cancer. J Clin Oncol. 2012;31:3834–40.
Maddocks M, Murton AJ, Wilcock A. Improving muscle mass and function in cachexia: non-drug approaches. Curr Opin Support Palliat Care. 2011;4:361–4.
Argiles JM, Busquets S, Lopez-Soriano FJ, Costelli P, Penna F. Are there any benefits of exercise training in cancer cachexia? J Cachexia Sarcopenia Muscle. 2012;2:73–6.
Di Girolamo FG, Situlin R, Mazzucco S, Valentini R, Toigo G, Biolo G. Omega-3 fatty acids and protein metabolism: enhancement of anabolic interventions for sarcopenia. Curr Opin Clin Nutr Metab Care. 2014;2:145–50.
Dallmann R, Weyermann P, Anklin C, et al. The orally active melanocortin-4 receptor antagonist BL-6020/979: a promising candidate for the treatment of cancer cachexia. J Cachexia Sarcopenia Muscle. 2011;3:163–74.
Berardi E, Annibali D, Cassano M, Crippa S, Sampaolesi M. Molecular and cell-based therapies for muscle degenerations: a road under construction. Front Physiol. 2014;5:119.
Acknowledgement
This work was supported by the National Key Clinical Specialty Discipline Construction Program of China (No. [2012] 649) and the Key Projects of Science and Technology Plan of Fujian Province (no. 2014Y0025).
Disclosure
There are no conflicts of interest.
Author information
Authors and Affiliations
Corresponding author
Electronic Supplementary Material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Zheng, ZF., Lu, J., Zheng, CH. et al. A Novel Prognostic Scoring System Based on Preoperative Sarcopenia Predicts the Long-Term Outcome for Patients After R0 Resection for Gastric Cancer: Experiences of a High-Volume Center. Ann Surg Oncol 24, 1795–1803 (2017). https://doi.org/10.1245/s10434-017-5813-7
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1245/s10434-017-5813-7