Elsevier

Surgery

Volume 166, Issue 3, September 2019, Pages 297-304
Surgery

Stomach
Myosteatosis predicts prognosis after radical gastrectomy for gastric cancer: A propensity score–matched analysis from a large-scale cohort

https://doi.org/10.1016/j.surg.2019.03.020Get rights and content

Abstract

Background

Increasing evidence has suggested that sarcopenia is linked with cancer prognosis, but only limited data have focused on the impact of myosteatosis on cancer outcomes. This study evaluates the influence of myosteatosis on postoperative complications and survival in those patients who underwent radical resection of gastric carcinoma.

Methods

Patients who underwent elective radical gastrectomy for gastric cancer and had computed tomographic images available were identified from a prospectively collected database between 2008 and 2013. Myosteatosis was diagnosed by the cutoff values obtained from the method of optimum stratification. To obtain 2 well-balanced cohorts for available variables influencing clinical outcomes, the myosteatosis group was matched 1:1 with nonmyosteatosis group by using a propensity score match.

Results

Of 973 patients, 584 were matched for analyses. Compared with the nonmyosteatosis group, the myosteatosis group manifested significantly higher severe postoperative complications rates, shorter overall survival, and disease-free survival. Before matching, multivariate analyses identified that myosteatosis was an independent risk factor for severe postoperative complications, and Cox proportions hazards model showed that myosteatosis was an independent predictor for shorter overall survival and disease-free survival. In addition, subgroup analyses of each muscle phenotype showed that patients with both sarcopenia and myosteatosis had a poorer overall survival and disease-free survival than other patients.

Conclusion

Myosteatosis in gastric cancer is associated with poor prognosis. Classifying the skeletal muscle into subranges of radio density is a promising strategy to understand the impact of skeletal muscle on unfavorable surgical outcomes in gastric cancer patients.

Section snippets

Patients

From a prospectively collected database, consecutive patients with primary gastric cancer undergoing radical gastrectomy at Wenzhou Medical University between December 2008 and August 2013 were identified. Exclusion criteria included cancer metastasis confirmed preoperatively or during surgery, a diagnosis of double cancer or emergency surgery. Subsequently, patients with no preoperative abdominal computed tomography (CT) or incomplete data were excluded. The study was approved by the WENZHOU

Population

From December 2008 to August 2013, a total of 1,314 patients were analyzed and 341 were excluded. Thus, the total sample size included 973 patients who received radical surgery for gastric cancer. An overview of patient selection process is shown in Fig 1. There were 460 deaths; the median follow-up time was 80 months. Patients’ demographic and clinicopathologic characteristics are listed in Table I.

The sex-specific cutoff values for L3 mean muscle attenuation associated with OS were 38.5 HU

Discussion

Muscle depletion is characterized by reduced muscle size (termed sarcopenia18) and declined muscle quality (termed myosteatosis8), which is distinct from ordinary weight loss or cachexia and can occur in patients in any weight category, from underweight to obese.16, 19 These pathologic phenomena usually are associated with physical disability and impaired survival in cancer patients.20, 21 The predictive role of muscle mass is well established; however, less is known about the relationship

Conflicts of interest

The authors have indicated that they have no conflict of interest regarding the content of this article.

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    Supported by the National Natural Science Foundation of China (No. 81800795,81770884), Shanghai Science and Technology Committee (No. 16411954200), Shanghai Municipal Commission of Health and Family Planning (No. 20184Y0301), Fundamental Research Funds for the Central Universities (No. 22120180051).

    Cheng-Le Zhuang and Xian Shen contributed equally to this work.

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