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ORIGINAL RESEARCH article

Front. Nutr., 24 October 2022
Sec. Clinical Nutrition

Preoperative computed tomography-determined sarcopenia is a reliable prognostic factor in patients with gastric cancer after radical gastrectomy: A sex-specific analysis

\r\nTing Liu,&#x;Ting Liu1,2†Xiaoping Yi&#x;Xiaoping Yi3†Jie Ge&#x;Jie Ge4†Jinwei ZhangJinwei Zhang3Fengbo TanFengbo Tan4Kun SongKun Song4Heli Liu*Heli Liu4*Mimi Tang,*Mimi Tang1,2*
  • 1Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
  • 2Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
  • 3Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
  • 4Department of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, China

Background: The predictive role of sarcopenia in cancer prognosis is an area of increasing concern. However, the influence of sex difference on the predictive role of sarcopenia in cancer prognosis has not been clearly defined. This retrospective cohort study investigated the effect of preoperative sarcopenia on the long-term outcomes of patients with gastric cancer (GC) based on sexual dimorphism.

Methods: Preoperative abdominal computed tomography (CT) scans from 379 GC patients who underwent radical gastrectomy were carefully analyzed. The patients were categorized into sarcopenia and non-sarcopenia groups according to the L3 skeletal muscle index (L3 SMI) measured on CT scans. Moreover, other indexes which can be used to evaluate the muscle area or the muscle quality, including skeletal muscle area (SMA), visceral fat area (VFA), subcutaneous fat area (SFA), skeletal muscle radiation attenuation (SM-RA), visceral fat index (VFI), subcutaneous fat index (SFI), and subcutaneous and visceral ratio (SV), were obtained from CT scans.

Results: There were 254 men and 125 women included in our study. After calculation, we defined sex-specific SMI-related mortality cutoff as 39.73 and 32.97 cm2/m2 for men and women. Univariable analysis showed that pathological tumor-node-metastasis (pTNM), depth of invasion, lymph node metastasis, differentiation degree, preoperative sarcopenia (for men), SMA (for men), L3 SMI, SFA (for women), SFI (for women), SV (for women), and SM-RA (especially for men) were significant independent predictors of overall survival (OS). Multivariable analysis showed that pTNM, depth of invasion, poor differentiation, and SM-RA were significantly associated with 5-year OS in GC patients. However, CT-determined sarcopenia was associated with significantly worse OS only in men, and SFA was significantly associated with 5-year OS only in women.

Conclusion: SM-RA is a reliable prognostic factor in patients with GC after radical gastrectomy. The impact of indexes mentioned above on survival outcomes is dependent on sex. CT-determined preoperative sarcopenia, a muscle-related indicator, was associated with outcomes in men. Adipose-related indicator (SFA), instead, was associated with outcomes in women.

Introduction

Sarcopenia is defined as decreased muscle mass, quality, and strength in elderly people (1) and is closely associated with frailty syndrome in the elderly (2). As early as 2010, the European Working Group on Sarcopenia in Older People (EWGSOP) first advocated the diagnostic criteria of age-related sarcopenia (3), after which sarcopenia has aroused great concern, especially in cancer patients. Current research on the link between cancer and sarcopenia has focused on (1) the prevalence of sarcopenia in different cancers (4); (2) the predictive role of preoperative sarcopenia or postoperative sarcopenia in cancer prognosis (5); (3) radiotherapy-induced sarcopenia (6, 7); (4) the effect of sarcopenia treatment, such as exercise, nutrition, or medication intervention, on the prognosis or complications of cancers (8, 9); (5) the effect of sarcopenia on chemotherapy-related toxicity (10, 11); and (6) the potential mechanism of cancer-associated sarcopenia (12).

Gastric cancer (GC) is the third most commonly diagnosed cancer and the third leading cause of cancer death in China according to the latest epidemiological data (13). Surgical resection has been, without doubt, the most effective therapy for potentially curable GC we have had so far (14). As a previous report, the prevalence of sarcopenia in GC was 32.05%, which is the lowest one in digestive cancers (1520), but higher than age-related sarcopenia (8.2% for men and 6.8% for women) based on EWGSOP algorithm (21). However, to date, there are no internationally accepted diagnostic criteria for sarcopenia in cancer patients. All the diagnoses concerning cancer-related sarcopenia are based on age-related sarcopenia established by EWGSOP or the Asian Working Group for Sarcopenia (22) or calculated by clinical data using statistical analysis (23, 24). Thus, current studies about the predictive value of sarcopenia in GC are still controversial.

Nowadays, several methods have been proposed for the assessment of muscle mass, including computed tomography (CT) scans, dual-energy X-ray absorptiometry (DXA), and bioelectrical impedance analysis (BIA). Among these, measurement of the cross-sectional muscle area at the level of the third lumbar vertebra (L3) on CT scans is the method that is used most commonly, since CT is a part of the routine staging process in cancer patients (25). In addition, muscle mass index (MMI) (16) which divides the patient’s muscle mass (kg/m2) or muscle area (cm2/m2) by the height squared is also widely used in the prognostic analysis of cancer.

Interestingly, a recent study from Korea suggested that the impact of postoperative muscle mass loss and surgery-induced sarcopenia on survival outcomes is dependent on sex. To be specified, the association between muscle mass and long-term survival was meaningful in men but not in women (26). Moreover, the amount and rate of muscle mass loss during aging also differ between men and women (27, 28), which suggests that we should consider the influence of sex factor when we investigate the relationship between sarcopenia-related factors and prognosis of GC. The reasons why gender influences prognosis may be complex, including gene expression (29), skeletal muscle kinetics, and fiber-type composition (30).

In this study, we present a retrospective investigation of the influence of sarcopenia on the prognoses of GC patients who underwent radical gastrectomy. In addition to the classic indicator L3 skeletal muscle index (L3 SMI), other indexes like visceral fat area (VFA), subcutaneous fat area (SFA), visceral fat index (VFI), subcutaneous fat index (SFI), subcutaneous and visceral ratio (SV), and skeletal muscle radiation attenuation (SM-RA) were also included in our study according to previous studies (3135). Moreover, we further evaluated potential sex differences in the relationship between sarcopenia and long-term survival.

Materials and methods

Patients and procedure

The present study was approved by the ethics committee of Xiangya Hospital of Central South University. All included patients provided informed consent. Using a computerized database, we analyzed data on patients diagnosed with GC at the department of Gastrointestinal Surgery, Xiangya Hospital, Central South University, from January 2011 to December 2016. All patients with GC were confirmed by pathological examination.

The inclusion criteria were patients with (1) pathological stages I-III who accepted laparoscopic or open radical surgery; (2) no other chemotherapy or radiotherapy was implemented before the operation; (3) data integrity; and (4) no distant metastasis (M1). Patients with palliative care, gastric remnant cancer, and liver and kidney dysfunction were excluded.

Data collection

Clinical data including age, gender, type of gastrectomy, pathological stage, degree of differentiation, and laboratory data [red blood cell (RBC), white blood cell (WBC), platelet (PLT), aspartate aminotransferase (AST), alanine aminotransferase (ALT), and creatinine (Cr)] were exacted from computerized database in the hospital. Survival status was obtained through follow-up by telephone. To assess for sarcopenia, we used adequate quality abdominal CT scan within 4 weeks before radical GC surgery.

Skeletal muscle assessment

We carefully analyzed CT images at the third lumbar vertebra (L3) using X-SECTION functions in 3D reformat software (GE AW4.6 workstations, GE Healthcare). Then, we further determined the muscle area, including L3 skeletal muscle area, VFA (cm2), SFA (cm2), and SM-RA. Examples of the areas of SFA, skeletal muscle area (SMA), and VFA are described in Figure 1. The L3 SMI, VFI, and SFI were further calculated by normalizing the related index to height 1–5 and reported as cm2/m2 (36, 37). To make the data presentation convenient and neat, the true values of SMI, SFI, and VFI are expressed by numerical value * 102. Moreover, we defined SV as the subcutaneous and visceral ratio (38).

FIGURE 1
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Figure 1. Body composition measurement of the third lumbar vertebra region. Yellow region: subcutaneous fat area (SFA) (cm2); blue region: L3 lumbar skeletal muscle area (L3 SMA) (cm2), red region: visceral fat area (VFA) (cm2). SFI, subcutaneous fat index; SM-RA, skeletal muscle radiation attenuation; SV, subcutaneous and visceral ratio; L3 SMI, L3 skeletal muscle index; VFI, visceral fat index.

Endpoints

The primary endpoint of our study was overall survival (OS), which is defined as the time from the date of the radical gastrectomy until death. The last follow-up visit was in December 2021. Moreover, we defined the cutoff points for L3 SMI, which would best predict the mortality in our present study. This optimum stratification method has been previously used to determine the threshold value which separated two categories (sarcopenia and non-sarcopenia) (24). We used this method to find the most significant p-value by using the log-rank test to define the sex-specific cutoff points associated with OS in patients. In addition, VFA, VFI, SFA, SFI, SV, and SM-RA were also classified into two groups and examined using the optimum stratification method same as L3 SMI.

Statistical analyses

The results from the clinical trial were conducted by the statistical computer software of IBM SPSS Statistics 24.0 and R 4.1.3. For analysis of baseline clinical characteristics between sarcopenia and non-sarcopenia, the independent sample t-test was used for continuous variables and Pearson’s chi-square test for categorical data. The measurement data were expressed as mean ± SD (standard deviation), while the count data were expressed as numbers with percentages. The receiver operating characteristic curve (ROC) analysis was performed to define the cutoff point of L3 SMI, SFA, SFI, VFA, VFI, SV, and SM-RA. Kaplan–Meier method was used to estimate the OS, and the log-rank test was used to evaluate the differences between curves. Variables with p < 0.2 were included in the multivariate analysis as a previous study (39). Multivariate analysis was performed using Cox’s proportional hazard model to assess the importance of potential prognostic factors. P-value < 0.05 was considered significant.

Results

Flowchart

Of the 1,099 GC patients after radical gastrectomy at the Department of gastrointestinal surgery, Xiangya Hospital of Central South University between January 2011 and December 2016 was collected. After excluding 13 patients with gastric stump cancer, 148 patients with baseline data deletion, 16 patients with distant metastasis, 36 patients with preoperative chemotherapy, and 26 patients with abnormal liver and kidney function, 860 patients enrolled in follow-up. We further ruled out patients who lost track (n = 292) and without abdominal CT data (n = 189), after which a total of 379 patients with GC were included in our study to determine their preoperative sarcopenic status (as shown in Figure 2).

FIGURE 2
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Figure 2. Flow diagram of patients.

Define of sarcopenia

After ROC analysis, we defined sex-specific and SMI-related mortality cutoff as 39.73 and 32.97 cm2/m2 for men and women, respectively (shown in Figure 3). Sarcopenia patients were classified according to these cutoff values for men and women. The average L3 SMI in all cases was 41.91 cm2/m2 (Table 1). After classification, our results showed that the sex-specific average was 45.04 cm2/m2 for men and 35.54 cm2/m2 for women.

FIGURE 3
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Figure 3. CT-determined sarcopenic status (A) according to sex-specific L3 skeletal muscle index (L3 SMI) cutoffs for sarcopenia (B). L3 SMI, L3 skeletal muscle index. The cutoff of SMI was reduced by 100 times for convenience.

TABLE 1
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Table 1. Baseline clinical characteristics and comparisons between patients with CT-determined sarcopenia and non-sarcopenia.

Baseline characteristics

As shown in Table 1, the average age in all patients was 56.65 ± 10.68 years, with predominantly male patients (254, 67.02%). As for lymph node metastasis, there is a significant difference in its proportion between the two groups (p < 0.05). No significant difference was found in age, gender, type of gastrectomy, degree of differentiation, pathological stages, depth of invasion, and laboratory data between sarcopenia and non-sarcopenia. The prevalence of sarcopenia was 25.20% in men and 30.40% in women. However, increased height 1–5 (p < 0.001) was found in patients with sarcopenia. Notably, the assessment indexes, such as SMA (p < 0.001), L3 SMI (p < 0.001), VFA (p < 0.001), VFI (p < 0.001), SFA (p < 0.001), and SFI (p < 0.001), were significantly decreased in patients with sarcopenia.

Receiver operating characteristic curve analysis

Using the same method of SMI, we defined the cutoff values for VFA (87.10 cm2), VFI (15.52 cm2/m2), SFA (141.55 cm2), SFI (26.46 cm2/m2), SMA (106.72 cm2), SV (1.478), and SM-RA (46.15 HU), respectively (Table 2). The features of patients with sarcopenia and non-sarcopenia are also shown in Table 1.

TABLE 2
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Table 2. ROC analysis.

Prognostic factors

The results of univariate analysis are shown in Table 3. On the basis of univariate analysis, we found that the pathological TNM (II and III) [hazard ratio (HR), 4.424; 95% CI, 1.723–11.355; p = 0.002; HR, 12.231; 95% CI, 4.981–30.035; p = 0.000], depth of invasion [T3-4] (HR, 4.810; 95% CI, 2.894–7.994; p = 0.000), lymph node metastasis (N2–3) (HR, 3.091; 95% CI, 2.165–4.313; p = 0.000), poor differentiation (HR, 1.635; 95% CI, 1.079–2.479; p = 0.045), sarcopenia (men) (HR, 1.803; 95% CI, 1.092–2.977; p = 0.007), SMA (men) (HR, 1.601; 95% CI, 1.018–2.516; p = 0.041), L3 SMI (HR, 1.538; 95% CI, 1.094–2.162; p = 0.010), SFA (especially for women) (HR, 2.931; 95% CI, 1.641–5.235; p = 0.000), SFI (especially for women) (HR, 2.756; 95% CI, 1.344–5.655; p = 0.000), SV (especially for women) (HR, 1.983; 95% CI, 1.136–3.461; p = 0.016), SM-RA (HR, 2.100; 95% CI, 1.497–2.947; p = 0.000), and SM-RA (especially for men) (HR, 2.232; 95% CI, 1.465–3.401; p = 0.001) were statistically significant. After multivariate analysis, pathological TNM (III), depth of invasion (T3–4), poor differentiation, sarcopenia (especially for men), SFA (especially for women), and SM-RA (both for men and women) were shown to be significant independent predictors of OS.

TABLE 3
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Table 3. Results of Cox regression analysis for overall survival.

Long-term results

As shown in Table 3 and Figure 4, Advanced GC patients had worse survival, which is reflected in advanced pathological TNM stage, depth of invasion, and lymph node metastasis. Moreover, GC patients with poor differentiation have a lower 5-year survival rate (64.75% vs. 73.91%). L3 SMI and SM-RA were also significantly associated with OS in GC patients, and the 5-year OS rates were better in the high level of L3 SMI (60.38% vs. 71.82%) and SM-RA (79.56% vs. 59.92%) group.

FIGURE 4
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Figure 4. Kaplan–Meier estimates of overall survival in patients with gastric cancer according to SM-RA (A), SFA status for female (B), SM-RA for male (C), and CT-determined sarcopenia for male (D). SFA, subcutaneous fat area; SM-RA, skeletal muscle radiation attenuation.

In addition, the 5-year OS rate was significantly lower in the sarcopenia group (56.25%) than in the non-sarcopenic (72.11%) men. High level of SM-RA had better 5-year OS rate for male patients (77.37% vs. 57.27%). Meanwhile, for female GC patients, high levels of SFA, SFI, and SV showed better 5-year OS rates (72.73% vs. 34.62%; 72.92% vs. 37.93%; and 75.81% vs. 53.97%).

Discussion

In the present study, the prevalence of preoperative sarcopenia in patients with GC was 25.20% in men, which is dramatically lower than in women (30.40%). In terms of long-term outcomes, 5-year OS was significantly shorter in patients with sarcopenia. Moreover, in addition to indicators that evaluate the disease progression of cancer (pathological TNM, depth of invasion, lymph node metastasis, poor differentiation), preoperative sarcopenia (for men), decreased SMA (for men), SFA, SFI, SV (for women), and SM-RA (especially for men) were also significantly associated with lower 5-year OS in GC patients. Multivariate analysis revealed that pathological TNM, depth of invasion, poor differentiation, and SM-RA were independent prognostic factors for patients with GC who underwent radical gastrectomy. Notably, the present study demonstrated the predictive effect of sarcopenia on survival outcomes is depended on sex.

Although previous studies came to heterogeneous conclusions, sarcopenia was generally identified as an independent prognostic factor for a poor OS of GC. In a retrospective study, CT-determined sarcopenia was reported to be an independent prognostic factor for patients with advanced GC who underwent palliative chemotherapy in Korea (16). In Japan, scholars also came to a similar conclusion that preoperative sarcopenia was related to poor survival in GC patients and appeared to be a significant negative prognostic factor in patients with GC who underwent curative resection (40). A cohort study from China also drew the similar conclusion that sarcopenia was an independent predictor of severe postoperative complications and long-term survival after radical gastrectomy (41). This conclusion is applicable to Western patients (42). Moreover, preoperative sarcopenia is also independently associated with severe postoperative complications in GC patients undergoing gastrectomy (4346), and an independent prognostic factor for progression-free survival (PFS) in patients with microsatellite-stable (MSS) GC treated with programmed death-1 (PD-1) inhibitors (47). However, for patients with GC who received neoadjuvant chemotherapy, sarcopenia did not appear to impact the length of stay or survival (48). Similarly, in a study from the Netherlands, sarcopenia was not associated with postoperative morbidity or mortality in GC surgical patients (49).

The diagnostic criteria for sarcopenia remain controversial and the cutoff values used for defining sarcopenia were different between studies. In the studies described above, the Korean study defined sarcopenia as L3 SMI ≤ 49 cm2/m2 for men and ≤ 31 cm2/m2 for women using Korean-specific cutoff values (16). However, the diagnostic criteria for sarcopenia in the Japan study were defined as a decreased arm muscle area < 38.05 cm2 in men and < 27.87 cm2 in women combined with a decline in grip strength < 26 kgf in men and < 18 kgf in women (40). The cohort from China calculated the cutoff values of sarcopenia and classified L3 SMI as < 34.9 cm2/m2 for women and < 40.8 cm2/m2 for men (41). In our present study, we defined sex-specific L3 SMI-related mortality cutoff as 39.73 and 32.97 cm2/m2 for men and women, respectively, which is consistent with previous studies, that cutoff values for L3 SMI to define sarcopenia in GC ranged from 32.5 to 54.5 cm2/m2 in men and from 28.6 to 41.0 cm2/m2 in women (14). More research is needed to obtain good reference values for various ethnic groups and cancer patients.

As we described before, both classic indicator L3 SMI and other indicators like fat area, including both fat area in visceral or subcutaneous, VFI, SFI, SV, and SM-RA, were taken into account in the present study. A recent study attempted to investigate more accurately predictive factors of postoperative complications or prognosis in patients with gastric cancer rather than sarcopenia defined by L3 SMI. The authors found that both psoas muscle mass index (PMI) and VFA were useful predictive factors for postoperative pneumonia and intra-abdominal abscess in patients with gastric cancer, but only PMI was a useful prognostic factor (34). Rinninella et al. assessed body composition changes of GC patients receiving the docetaxel (FLOT) regimen and reported that preoperative FLOT was associated with a further reduction in both SMI and VFI. However, these changes were not associated with short-term outcomes (32). Our study came to a similar conclusion that neither VFA nor VFI was associated with long-term results in patients with GC. Although visceral fat does not seem to affect the prognosis of GC patients, subcutaneous fat plays a role in GC prognosis according to our results. Furthermore, SFA, SFI, and SV in women are prognostic factors for the 5-year OS of GC patients who underwent radical gastrectomy. Similarly, a retrospective from Japan demonstrated that visceral-to-subcutaneous adipose tissue area ratio (VSR) was a prognostic factor for the overall survival of elderly patients with gastric cancer after gastrectomy (33). Moreover, reduced SM-RA is independently associated with postoperative outcomes in cancer patients (35, 50), which is consistent with our findings.

The influence of sex factor on the relationship between sarcopenia and the prognosis of cancer is an emerging field. Women exhibit higher global fat mass and reduced skeletal muscle mass (51). One reason for the sex difference might be the discrepancy in muscle and fat mass between men and women, since testosterone level which has an anabolic effect on the muscle is higher in men (29). Skeletal muscle fiber composition, myosin heavy chain expression, contractile function, and the regulation of these physiological differences by thyroid hormone, estrogen, and testosterone might also play important role in sex differences (30). Moreover, the absolute rate of decline in skeletal muscle mass was reported to be greater in men than women (27). Similarly, accumulating studies demonstrated that male cancer patients lost more body weight, muscle mass, and had higher rates of mortality compared with female patients (52, 53). A recent study demonstrated that surgery-induced sarcopenia was a risk factor for OS and relapse-free survival (RFS) in men only (26). Consistent with previous studies, our result also showed that sarcopenia was a risk factor for 5-year OS only in men. However, SFA, SFI, and SV in women were prognostic factors for the 5-year OS, and SFA was significantly associated with 5-year OS in GC patients after multivariable analysis in women rather than men. As previously mentioned, women are characterized by an increased propensity to store subcutaneous fat (51), which might partly explain why subcutaneous fat is more sensitive in women than men. Moreover, low SMI in men and high visceral-to-SFA ratio in women were good prognosticators for patients with colorectal cancer (54). We speculated that muscle reserves in men are more important than fat reserves for the pathological of cancer, which is different from women. However, the potential mechanism of this sex difference needs to be further studied.

One limitation of this study was that we were unable to collect information about muscle strength and physical performance since our study is a retrospective study. Similarly, no record of the height information of patients was found in the computerized database; thus, we have to use the height 1–5 obtained from CT scans instead. Lastly, the sample size is not large enough due to the high rate of lost follow-up. A prospective large cohort study is needed to verify the results.

Conclusion

Decreased L3 SMI and SM-RA were associated with increased mortality in patients with GC after radical gastrectomy. The impact of indexes investigated in our study on survival outcomes is dependent on sex. The association between sarcopenia, SMA, SM-RA, and long-term survival was meaningful in men but not in women. On the contrary, SFA, SFI, and SV were significantly associated with 5-year OS in GC patients in women rather than men. Further studies are needed to clarify the specific mechanisms of sex difference.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics Committee of Xiangya Hospital of Central South University. The patients/participants provided their written informed consent to participate in this study.

Author contributions

TL, JG, and XY performed the material preparation, data collection, and analysis. MT, HL, and TL wrote the first draft of the manuscript. MT, TL, XY, and JG reviewed and edited the previous versions of the manuscript. JZ, FT, and KS verified the data and amended the manuscript. All authors contributed to the study conception and design, read, and approved the final manuscript.

Funding

This study was supported by the National Natural Science Foundation of China (grant no. 81823233) and the Key Research Project of Ningxia Hui Autonomous Region in 2021 (Major Project) (grant no. 2021BEG01001).

Acknowledgments

We thank all the participants and the investigators, who helped to obtain the written informed consent or interpret the CT results.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Jung HW, Kim JW, Kim JY, Kim SW, Yang HK, Lee JW, et al. Effect of muscle mass on toxicity and survival in patients with colon cancer undergoing adjuvant chemotherapy. Support Care Cancer. (2015) 23:687–94. doi: 10.1007/s00520-014-2418-6

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Cesari M, Leeuwenburgh C, Lauretani F, Onder G, Bandinelli S, Maraldi C, et al. Frailty syndrome and skeletal muscle: results from the Invecchiare in Chianti study. Am J Clin Nutr. (2006) 83:1142–8. doi: 10.1093/ajcn/83.5.1142

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: european consensus on definition and diagnosis: Report of the european working group on sarcopenia in older people. Age Ageing. (2010) 39:412–23. doi: 10.1093/ageing/afq034

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Haiducu C, Buzea A, Mirea LE, Dan GA. The prevalence and the impact of sarcopenia in digestive cancers. A systematic review. Rom J Intern Med. (2021) 59:328–44. doi: 10.2478/rjim-2021-0026

PubMed Abstract | CrossRef Full Text | Google Scholar

5. 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. doi: 10.1016/j.ejca.2015.12.030

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Findlay M, White K, Stapleton N, Bauer J. Is sarcopenia a predictor of prognosis for patients undergoing radiotherapy for head and neck cancer? A meta-analysis. Clin Nutr. (2021) 40:1711–8. doi: 10.1016/j.clnu.2020.09.017

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Powrózek T, Dziwota J, Małecka-Massalska T. Nutritional deficiencies in radiotherapy-treated head and neck cancer patients. J Clin Med. (2021) 10:574. doi: 10.3390/jcm10040574

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Dieli-Conwright CM, Courneya KS, Demark-Wahnefried W, Sami N, Lee K, Buchanan TA, et al. Effects of aerobic and resistance exercise on metabolic syndrome, sarcopenic obesity, and circulating biomarkers in overweight or obese survivors of breast cancer: A randomized controlled trial. J Clin Oncol. (2018) 36:875–83. doi: 10.1200/JCO.2017.75.7526

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Prado CM, Purcell SA, Laviano A. Nutrition interventions to treat low muscle mass in cancer. J Cachexia Sarcopenia Muscle. (2020) 11:366–80. doi: 10.1002/jcsm.12525

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Vega MC, Laviano A, Pimentel GD. Sarcopenia and chemotherapy-mediated toxicity. Einstein (Sao Paulo). (2016) 14:580–4. doi: 10.1590/S1679-45082016MD3740

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Bozzetti F. Forcing the vicious circle: sarcopenia increases toxicity, decreases response to chemotherapy and worsens with chemotherapy. Ann Oncol. (2017) 28:2107–18. doi: 10.1093/annonc/mdx271

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Argilés JM, Busquets S, Felipe A, López-Soriano FJ. Molecular mechanisms involved in muscle wasting in cancer and ageing: cachexia versus sarcopenia. Int J Biochem Cell Biol. (2005) 37:1084–104. doi: 10.1016/j.biocel.2004.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, et al. Cancer statistics in China, 2015. CA Cancer J Clin. (2016) 66:115–32.

Google Scholar

14. Yang Z, Zhou X, Ma B, Xing Y, Jiang X, Wang Z. Predictive value of preoperative sarcopenia in patients with gastric cancer: a meta-analysis and systematic review. J Gastrointest Surg. (2018) 22:1890–902. doi: 10.1007/s11605-018-3856-0

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Ha Y, Kim D, Han S, Chon YE, Lee YB, Kim MN, et al. Sarcopenia predicts prognosis in patients with newly diagnosed hepatocellular carcinoma, independent of tumor stage and liver function. Cancer Res Treat. (2018) 50:843–51. doi: 10.4143/crt.2017.232

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Lee JS, Kim YS, Kim EY, Jin W. Prognostic significance of CT-determined sarcopenia in patients with advanced gastric cancer. PLoS One. (2018) 13:e0202700. doi: 10.1371/journal.pone.0202700

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Onishi S, Shiraki M, Nishimura K, Hanai T, Moriwaki H, Shimizu M. Prevalence of sarcopenia and its relationship with nutritional state and quality of life in patients with digestive diseases. J Nutr Sci Vitaminol. (2018) 64:445–53. doi: 10.3177/jnsv.64.445

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Dijksterhuis WPM, Pruijt MJ, Van Der Woude SO, Klaassen R, Kurk SA, Van Oijen MGH, et al. Association between body composition, survival, and toxicity in advanced esophagogastric cancer patients receiving palliative chemotherapy. J Cachexia Sarcopenia Muscle. (2019) 10:199–206. doi: 10.1002/jcsm.12371

PubMed Abstract | CrossRef Full Text | Google Scholar

19. van Vugt JLA, Gaspersz MP, Vugts J, Buettner S, Levolger S, De Bruin RWF, et al. Low skeletal muscle density is associated with early death in patients with perihilar cholangiocarcinoma regardless of subsequent treatment. Dig Surg. (2019) 36:144–52. doi: 10.1159/000486867

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Xiao J, Caan BJ, Cespedes Feliciano EM, Meyerhardt JA, Kroenke CH, Baracos VE, et al. The association of medical and demographic characteristics with sarcopenia and low muscle radiodensity in patients with nonmetastatic colorectal cancer. Am J Clin Nutr. (2019) 109:615–25. doi: 10.1093/ajcn/nqy328

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Yoshida D, Suzuki T, Shimada H, Park H, Makizako H, Doi T, et al. Using two different algorithms to determine the prevalence of sarcopenia. Geriatr Gerontol Int. (2014) 14(Suppl 1):46–51.

Google Scholar

22. Chen LK, Liu LK, Woo J, Assantachai P, Auyeung TW, Bahyah KS, et al. Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc. (2014) 15:95–101. doi: 10.1016/j.jamda.2013.11.025

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Iritani S, Imai K, Takai K, Hanai T, Ideta T, Miyazaki T, et al. Skeletal muscle depletion is an independent prognostic factor for hepatocellular carcinoma. J Gastroenterol. (2015) 50:323–32.

Google Scholar

24. Kurita Y, Kobayashi N, Tokuhisa M, Goto A, Kubota K, Endo I, et al. Sarcopenia is a reliable prognostic factor in patients with advanced pancreatic cancer receiving FOLFIRINOX chemotherapy. Pancreatology. (2019) 19:127–35. doi: 10.1016/j.pan.2018.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Borggreve AS, Den Boer RB, Van Boxel GI, De Jong PA, Veldhuis WB, Steenhagen E, et al. The predictive value of low muscle mass as measured on CT scans for postoperative complications and mortality in gastric cancer patients: A systematic review and meta-analysis. J Clin Med. (2020) 9:199. doi: 10.3390/jcm9010199

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Lee JK, Park YS, Lee K, Youn SI, Won Y, Min SH, et al. Prognostic significance of surgery-induced sarcopenia in the survival of gastric cancer patients: a sex-specific analysis. J Cachexia Sarcopenia Muscle. (2021) 12:1897–907. doi: 10.1002/jcsm.12793

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Gallagher D, Ruts E, Visser M, Heshka S, Baumgartner RN, Wang J, et al. Weight stability masks sarcopenia in elderly men and women. Am J Physiol Endocrinol Metab. (2000) 279:E366–75.

Google Scholar

28. Zamboni M, Zoico E, Scartezzini T, Mazzali G, Tosoni P, Zivelonghi A, et al. Body composition changes in stable-weight elderly subjects: the effect of sex. Aging Clin Exp Res. (2003) 15:321–7. doi: 10.1007/BF03324517

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Welle S, Tawil R, Thornton CA. Sex-related differences in gene expression in human skeletal muscle. PLoS One. (2008) 3:e1385. doi: 10.1371/journal.pone.0001385

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Haizlip KM, Harrison BC, Leinwand LA. Sex-based differences in skeletal muscle kinetics and fiber-type composition. Physiology (Bethesda). (2015) 30:30–9. doi: 10.1152/physiol.00024.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Kouzu K, Tsujimoto H, Sugasawa H, Ishibashi Y, Itazaki Y, Tsuchiya S, et al. Impact of postoperative reduced skeletal muscle on prognosis after recurrence in gastric cancer. Mol Clin Oncol. (2021) 14:3. doi: 10.3892/mco.2020.2165

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Rinninella E, Strippoli A, Cintoni M, Raoul P, Vivolo R, Di Salvatore M, et al. Body composition changes in gastric cancer patients during preoperative FLOT therapy: Preliminary results of an italian cohort study. Nutrients. (2021) 13:960. doi: 10.3390/nu13030960

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Taki Y, Sato S, Nakatani E, Higashizono K, Nagai E, Nishida M, et al. Preoperative skeletal muscle index and visceral-to-subcutaneous fat area ratio are associated with long-term outcomes of elderly gastric cancer patients after gastrectomy. Langenbecks Arch Surg. (2021) 406:463–71. doi: 10.1007/s00423-021-02092-1

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Taniguchi Y, Kurokawa Y, Takahashi T, Saito T, Yamashita K, Tanaka K, et al. Impacts of preoperative psoas muscle mass and visceral fat area on postoperative short- and long-term outcomes in patients with gastric cancer. World J Surg. (2021) 45:815–21. doi: 10.1007/s00268-020-05857-9

PubMed Abstract | CrossRef Full Text | Google Scholar

35. West MA, Baker WC, Rahman S, Munro A, Jack S, Grocott MP, et al. Cardiopulmonary exercise testing has greater prognostic value than sarcopenia in oesophago-gastric cancer patients undergoing neoadjuvant therapy and surgical resection. J Surg Oncol. (2021) 124:1306–16. doi: 10.1002/jso.26652

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Yi X, Chen Q, Yang J, Jiang D, Zhu L, Liu H, et al. CT-Based sarcopenic nomogram for predicting progressive disease in advanced non-small-cell lung cancer. Front Oncol. (2021) 11:643941. doi: 10.3389/fonc.2021.643941

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Yi X, Liu H, Zhu L, Wang D, Xie F, Shi L, et al. Myosteatosis predicting risk of transition to severe COVID-19 infection. Clin Nutr. (2021). [Epub ahead of print].

Google Scholar

38. Kim JH, Kim J, Lee WJ, Seong H, Choi H, Ahn JY, et al. A high visceral-to-subcutaneous fat ratio is an independent predictor of surgical site infection after gastrectomy. J Clin Med. (2019) 8:494. doi: 10.3390/jcm8040494

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Wang X, Li Q, Kang J, Yin D, Li X, Wang S, et al. Mortality risk factors and prognostic analysis of patients with multi-drug resistant enterobacterales infection. Infect Drug Resist. (2022) 15:3225–37. doi: 10.2147/IDR.S366808

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Kawamura T, Makuuchi R, Tokunaga M, Tanizawa Y, Bando E, Yasui H, et al. Long-Term outcomes of gastric cancer patients with preoperative sarcopenia. Ann Surg Oncol. (2018) 25:1625–32. doi: 10.1245/s10434-018-6452-3

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Zhuang CL, Huang DD, Pang WY, Zhou CJ, Wang SL, Lou N, 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. doi: 10.1097/MD.0000000000003164

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Sierzega M, Chrzan R, Wiktorowicz M, Kolodziejczyk P, Richter P. Prognostic and predictive implications of sarcopenia in Western patients undergoing gastric resections for carcinoma of the stomach. J Surg Oncol. (2019) 120:473–82.

Google Scholar

43. Fukuda Y, Yamamoto K, Hirao M, Nishikawa K, Nagatsuma Y, Nakayama T, et al. Sarcopenia is associated with severe postoperative complications in elderly gastric cancer patients undergoing gastrectomy. Gastric Cancer. (2016) 19:986–93.

Google Scholar

44. O’Brien S, Twomey M, Moloney F, Kavanagh RG, Carey BW, Power D, et al. Sarcopenia and post-operative morbidity and mortality in patients with gastric cancer. J Gastric Cancer. (2018) 18:242–52. doi: 10.5230/jgc.2018.18.e25

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Yamamoto K, Hirao M, Nishikawa K, Omori T, Yanagimoto Y, Shinno N, et al. Sarcopenia is associated with impaired overall survival after gastrectomy for elderly gastric cancer. Anticancer Res. (2019) 39:4297–303. doi: 10.21873/anticanres.13595

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Sun X, Xu J, Chen X, Zhang W, Chen W, Zhu C, et al. Sarcopenia in patients with normal body mass index is an independent predictor for postoperative complication and long-term survival in gastric cancer. Clin Transl Sci. (2021) 14:837–46.

Google Scholar

47. Kim YY, Lee J, Jeong WK, Kim ST, Kim JH, Hong JY, et al. Prognostic significance of sarcopenia in microsatellite-stable gastric cancer patients treated with programmed death-1 inhibitors. Gastric Cancer. (2021) 24:457–66. doi: 10.1007/s10120-020-01124-x

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Mirkin KA, Luke FE, Gangi A, Pimiento JM, Jeong D, Hollenbeak CS, et al. Sarcopenia related to neoadjuvant chemotherapy and perioperative outcomes in resected gastric cancer: a multi-institutional analysis. J Gastrointest Oncol. (2017) 8:589–95. doi: 10.21037/jgo.2017.03.02

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Tegels JJ, Van Vugt JL, Reisinger KW, Hulsewé KW, Hoofwijk AG, Derikx JP, et al. Sarcopenia is highly prevalent in patients undergoing surgery for gastric cancer but not associated with worse outcomes. J Surg Oncol. (2015) 112:403–7. doi: 10.1002/jso.24015

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Gadducci A, Cosio S. The prognostic relevance of computed tomography-assessed skeletal muscle index and skeletal muscle radiation attenuation in patients with gynecological cancer. Anticancer Res. (2021) 41:9–20.

Google Scholar

51. Tramunt B, Smati S, Grandgeorge N, Lenfant F, Arnal JF, Montagner A, et al. Sex differences in metabolic regulation and diabetes susceptibility. Diabetologia. (2020) 63:453–61.

Google Scholar

52. Hendifar A, Yang D, Lenz F, Lurje G, Pohl A, Lenz C, et al. Gender disparities in metastatic colorectal cancer survival. Clin Cancer Res. (2009) 15: 6391–7.

Google Scholar

53. Baracos VE, Reiman T, Mourtzakis M, Gioulbasanis I, Antoun S. Body composition in patients with non-small cell lung cancer: a contemporary view of cancer cachexia with the use of computed tomography image analysis. Am J Clin Nutr. (2010) 91:1133s–7s. doi: 10.3945/ajcn.2010.28608C

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Tokunaga R, Nakagawa S, Miyamoto Y, Ohuchi M, Izumi D, Kosumi K, et al. The clinical impact of preoperative body composition differs between male and female colorectal cancer patients. Colorectal Dis. (2020) 22:62–70. doi: 10.1111/codi.14793

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: gastric cancer, sarcopenia, survival, sex difference, body composition

Citation: Liu T, Yi X, Ge J, Zhang J, Tan F, Song K, Liu H and Tang M (2022) Preoperative computed tomography-determined sarcopenia is a reliable prognostic factor in patients with gastric cancer after radical gastrectomy: A sex-specific analysis. Front. Nutr. 9:884586. doi: 10.3389/fnut.2022.884586

Received: 26 February 2022; Accepted: 28 September 2022;
Published: 24 October 2022.

Edited by:

Marilia Seelaender, University of São Paulo, Brazil

Reviewed by:

Linda Maximiano, Faculdade de Medicina da Universidade de São Paulo, Brazil
Xinying Wang, Nanjing General Hospital of Nanjing Military Command, China

Copyright © 2022 Liu, Yi, Ge, Zhang, Tan, Song, Liu and Tang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Heli Liu, aGVsaWxpdUBjc3UuZWR1LmNu; Mimi Tang, dGFuZ21pbWkxOTg5QDE2My5jb20=

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.