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Journal of Hepatocellular Carcinoma logoLink to Journal of Hepatocellular Carcinoma
. 2021 Apr 29;8:313–320. doi: 10.2147/JHC.S300680

Impact of Sarcopenia on Two-Year Mortality in Patients with HCV-Associated Hepatocellular Carcinoma After Radiofrequency Ablation

Ahmed Salman 1,, Mohamed Salman 2, Ahmed Moustafa 3, Hossam El-Din Shaaban 4, Ahmed El-Mikkawy 5, Safa Labib 1, Ahmed Youssef 1, Mahmoud Gouda Omar 1, Mohamed Matter 6, Hesham Elkassar 1
PMCID: PMC8092617  PMID: 33954153

Abstract

Purpose

Radiofrequency ablation (RFA) appears effective for the treatment of hepatocellular carcinoma (HCC). Evaluation of prognostic factors is imperative for patient selection and improving treatment efficacy. This study aimed to assess sarcopenia as a predictor of the outcome of RFA in patients with HCC.

Methods

This prospective study included all patients with HCC on top of HCV-related cirrhosis who underwent RFA and followed up for a minimum of two years. CT scan was used to determine the skeletal muscle index at the psoas, erector spinae, quadratus lumborum, transversus abdominis, external and internal obliques, and rectus abdominis muscles. Cross-sectional areas were calculated to obtain a lumbar skeletal muscle index (L3-SMI).

Results

A total of 97 patients were enrolled in the study. The L3-SMI was 46.2±12.1 cm2/m2. Older age was the only risk factor associated with sarcopenia (p = 0.001). The overall survival at two years for the whole group was 65.2%. Sarcopenia and MELD score were independent predictors of OS at two years with HR of 7.6 (95% CI: 3.1–18.7) and 2.2 (95% CI: 1.0–4.8), respectively. Recurrence-free survival was 84.1% at two years. Recurrence was not affected by all factors, including sarcopenia.

Conclusion

Sarcopenia is a surrogate predictor of overall survival at two years in HCC patients after RFA. Sarcopenia assessment might be an additional prognostic indicator with conventional biomarkers to optimize the selection criteria for receiving RFA for early-stage HCC.

Keywords: sarcopenia, mortality, hepatocellular carcinoma, radiofrequency ablation

Introduction

Worldwide, hepatocellular carcinoma (HCC) is the 7th most common cancer and the 3rd leading cause of cancer-related deaths with an obvious heterogeneous geographical distribution. In Egypt, HCC is the most common cancer in Egyptian males.1 Many surgical and non-surgical approaches are available for the treatment of HCC. Non-surgical therapy includes local tumor ablation, transarterial embolization, and radiotherapy.2 Radiofrequency ablation (RFA) appears to be a local curative treatment of small HCC lesions (< 3 cm in diameter).3 Existing literature reported promising long-term effectiveness of RFA treatment.4–6 However, the evaluation of prognostic factors is imperative for patient selection and improving treatment efficacy.

Sarcopenia is a progressive and generalized skeletal muscle disease characterized by accelerated loss of muscle mass and function.7 It has been associated with higher mortality among the general population8,9 and patients with cancer.8–10 Prevalence of sarcopenia varies widely from 1 to 29% among older people.11 Risk factors other than age include sex12 and inflammatory disease.13 Cancer patients are at risk of losing muscle mass due to anorexia, reduced physical activity, and aggressive treatment modalities.14,15 So far, sarcopenia’s effect on the outcome of RFA as a curative treatment of HCC is poorly investigated.16

This study aimed to assess the possible role of sarcopenia in predicting the outcome of radiofrequency ablation in patients with HCC.

Subjects and Methods

This prospective study included a consecutive sample of all patients with HCC who underwent RFA from August 2015 to April 2018. All patients were followed up for a minimum of two years after RFA. All patients gave informed consent for using their clinical, laboratory, and radiological data at the time of the first examination. The study protocol conformed to the Declaration of Helsinki (1975) and was approved by the local institutional review board. All organs were donated voluntarily with written informed consent, and that this was conducted in accordance with the Declaration of Istanbul.

In the current study, we recruited only patient with HCV-induced liver cirrhosis, and excluded patients with cirrhosis due to other etiologies, such as HBV, alcoholic liver diseases. The aim of this was to unify the studied population, as HCV-induced liver cirrhosis is the most prevalent cause of liver cirrhosis and HCC is Egypt.

Cirrhosis, diagnosed either by histology or clinically, was graded according to the Child-Turcotte-Pugh (CTP) classification and Model for End-stage Liver Disease (MELD) scores as liver impairment measures. HCC was diagnosed according to criteria of the American Association for the Study of Liver Disease17 and staged by abdominal contrast-enhanced dynamic CT scan or gadolinium-enhanced magnetic resonance imaging (MRI). Moreover, each patient underwent a chest X-ray/CT scan and bone scanning, as requested by the treating physicians.

Radiofrequency ablation was performed if the patient is a candidate for liver-directed procedures and meets the resectability criteria. These are liver-only disease and a single tumor < 4 cm in diameter with a CTP class A or B.

Initial data collection included age, sex, pre-treatment anthropometric features, laboratory findings including serum albumin, creatinine, international normality ratio (INR), complete blood picture, and alpha-fetoprotein (AFP), and dry weight body mass index (BMI). All data were obtained within two weeks before the RFA session. Follow-up ended after two years or upon patients’ death.

Image Analysis and Treatment Modality

CT scans were obtained routinely at baseline for tumor staging purposes within two weeks before initiating treatment and used to determine the skeletal muscle index (SMI). A transverse image at the level of L3 was chosen from each scan. Muscles at this level include psoas, erector spinae, quadratus lumborum, transversus abdominis, external and internal obliques, and the rectus abdominis.18 Obtained images were analyzed with SliceOmatic V 5.0 software (Tomovision, Montreal, Quebec, Canada), enabling specific tissue selection using previously determined Hounsfield units (HU). Skeletal muscle is selected and quantified by thresholds between –29 to +150 HU.19 These specific thresholds permit skeletal muscle assessment regardless of ascites in patients with cirrhosis, excluding muscular fat infiltration in the selected section. Two trained physicians checked all CT images. Cross-sectional areas were calculated and normalized for height as reported elsewhere20 to obtain a lumbar skeletal muscle index (L3-SMI).

The MRI imaging data were excluded to avoid methodological heterogeneity. L3-SMI was expressed in cm2/m2. L3-SMI was considered to indicate sarcopenia if ≤ 53 cm2/m2 in males with a BMI ≥ 25 or ≤ 43 cm2/m2 with a BMI < 25, and ≤ 41 cm2/m2 in women.21

Statistical Analysis

Statistical analysis was done using IBM© SPSS© Statistics version 23 (IBM© Corp., Armonk, NY, USA). Numerical data were expressed as mean and standard deviation or median and range as appropriate. Qualitative data were expressed as frequency and percentage. Chi-square test was used to examine the relation between qualitative variables. For quantitative data, comparison between two groups was made using independent sample t-test or Mann–Whitney test. Survival analysis was done using Kaplan-Meier method and comparison between two survival curves was done using Log rank test. Multivariate analysis was done using Cox proportional-hazards model for factors affecting survival on univariate analysis. Hazard ratio (HR) with it 95% confidence interval (CI) were used for hazard estimation. A p-value < 0.05 was considered significant.

Results

A total of 97 patients were enrolled in the study. Baseline and disease characteristics of the studied group are shown in Table 1, and laboratory findings in Table 2.

Table 1.

Baseline and Clinical Characteristics of the Studied Group (n=97)

Value
Age (years) 53.4±6.0
Sex (male/female) 72/25
Body mass index (kg/m2) 26.2±3.3
Diabetes mellitus 22 (22.7%)
Hypertension 31 (32.0%)
Dyslipidemia 19 (19.6%)
Active hepatitis C viral infection 15 (15.4%)
Disease Characteristics
 Tumor diameter (cm) 2.7±0.7
 Child-Turcotte-Pugh class (A/B) 64/33
 Model for End-stage Liver Disease score 10 (8–15)

Note: Data are expressed as mean±SD, number (%), or median (range).

Table 2.

Laboratory Results of the Studied Group (n=97)

Value
Hemoglobin concentration (gm/dL) 11.2±1.3
White cell count (x103/mm3) 6.3±1.9
Platelet count (x103/mm3) 177±59
Serum Albumin (g/dL) 3.4±0.4
Serum Bilirubin (mg/dL) 1.7±0.3
Alanine aminotransferase (U/L) 49.9±14.3
Aspartate aminotransferase (U/L) 59.4±11.6
International normalized ratio 1.5±0.2
Serum creatinine (mg/dL) 1.1±0.3
Alpha-fetoprotein (ng/mL) 158 (20–432)

Note: Data are expressed as mean±SD, or median (range).

The L3-SMI of the whole studied group was 46.2±12.1 cm2/m2. Sarcopenia was diagnosed in 42 patients (43.3%). Table 3 shows a comparison between the Sarcopenia group (n=42) and those with normal muscle mass (Non-Sarcopenia group, n=55) regarding patients and disease factors. The only associated risk factor was older age in the sarcopenic group (p = 0.001).

Table 3.

Comparison Between Patients with and without Sarcopenia Regarding Possible Risk Factors

Sarcopenia Group n=42 Non-Sarcopenia Group n=55 p-value
Age (years) 55.6±5.0 51.7±6.2 0.001
Sex (male/female) 28/14 44/11 0.137
Body mass index (kg/m2) 26.5±3.5 25.9±3.1 0.346
Diabetes mellitus (yes/no) 9/33 13/42 0.797
Hypertension (yes/no) 13/29 18/37 0.853
Dyslipidemia (yes/no) 9/33 10/45 0.690
Disease Characteristics
 Tumor diameter (cm) 2.8±0.8 2.7±0.7 0.687
 Child Class (A/B) 27/15 37/18 0.758
 MELD score 10 (8–15) 10 (8–13) 0.365
Laboratory results
 Hemoglobin concentration (gm/dL) 11.2±1.2 11.2±1.5 0.993
 White cell count (x103/mm3) 6.3±2.2 6.2±1.6 0.855
 Platelet count (x103/mm3) 174±61 180±57 0.642
 Serum Albumin (g/dL) 3.4±0.3 3.4±0.4 0.841
 Serum Bilirubin (mg/dL) 1.6±0.3 1.7±0.4 0.005
 Alanine aminotransferase (U/L) 49.1±13.6 50.5±14.8 0.637
 Aspartate aminotransferase (U/L) 60.3±12.5 58.8±10.9 0.525
 International normalized ratio 1.5±0.2 1.4±0.2 0.258
 Serum creatinine (mg/dL) 1.1±0.3 1.1±0.3 0.669
 Alpha-fetoprotein (ng/mL) 154 (45–432) 165 (20–301) 0.626

Note: Data are expressed as mean±SD, or median (range).

Abbreviation: MELD, Model for End-stage Liver Disease.

During follow-up, 3 cases underwent transarterial chemoembolization, and 2 underwent transarterial radioembolization. Liver transplantation was done for 16 patients. At the end of follow-up, 33 patients died. Causes of death are shown in Table 4. The cumulative survival proportion at two years for the whole group (n=97) was 65.2%. Table 5 shows factors affecting overall survival. Sarcopenia was the only factor positively associated with worse survival at two-years (36.6% vs 85.5% for non-sarcopenic patients, p < 0.001). MELD score was near significance on univariate analysis (p = 0.053). On multivariate analysis, sarcopenia and MELD score were the only independent predictors of overall survival (Table 6). Sarcopenia carries a nearly 8-fold higher risk of death within 2 years. As a continuous variable, L3-SMI significantly affected overall survival in males, but not in females (Table 7). In males, higher SMI was associated with better survival with a HR of 0.95 (95% CI: 0.91–0.98).

Table 4.

Causes of Death in 33 Patients

Cause Number (%)
Liver cell Failure 9 (27.3%)
Sepsis 9 (27.3%)
Metastases 7 (21.2%)
Hematemesis 4 (12.1%)
Myocardial infarction 2 (6.1%)
Pulmonary embolism 1 (3.0%)
Accident 1 (3.0%)

Table 5.

Factors Associated with Overall Survival at 2 Years in the Studied Group

n Events Cumulative Survival Proportion (%) p-value
Sarcopenia Yes 42 25 36.6 < 0.001
No 55 8 85.5
Age (years) > 50 66 24 62.0 0.473
≤ 50 31 9 71.0
Recurrence Yes 12 7 41.7 0.122
No 85 26 68.6
Sex Male 72 23 67.0 0.599
Female 25 10 60.0
Diabetes mellitus Yes 22 6 72.7 0.432
No 75 27 62.7
Tumor size (cm) > 2 79 28 63.7 0.536
≤ 2 18 5 72.2
Child Class A 64 22 64.5 0.995
B 33 11 66.7
MELD score > 9 56 15 72.0 0.053
≤ 9 41 18 65.1
Transplantation Yes 16 4 60.9 0.419
No 81 29 64.2
ALBI Grade G1 66 21 68.2 0.474
G2 31 12 59.6
S. Creatinine (mg/dL) > 1.2 20 4 80.0 0.158
≤ 1.2 77 29 61.4
Hemoglobin (gm/dL) < 12 69 24 64.2 0.748
≥ 12 28 9 67.9
ALT (U/L) > 55 29 8 72.2 0.329
≤ 55 68 25 62.0
AST (U/L) > 40 92 31 65.4 0.756
≤ 40 5 2 60.0
INR > 1.1 93 31 65.8 0.369
≤ 1.1 4 2 50.0

Abbreviations: MELD, Model for End-stage Liver Disease; ALBI, albumin-bilirubin grade; ALT, alanine aminotransferase; AST, aspartate aminotransferase; INR, international normalized ratio.

Table 6.

Multivariate Cox Proportional Hazards Model for Factors Affecting Overall Survival

B p-value HR 95% CI for HR
Lower Upper
Sarcopenia 2.026 <0.001 7.59 3.07 18.77
MELD score > 9 0.800 0.040 2.23 1.04 4.78
Child Score B vs A 0.116 0.783 1.12 0.49 2.56
Age > 50 years 0.585 0.201 1.79 0.73 4.40
Size > 2 cm 0.210 0.673 1.23 0.47 3.26
ALBI G2 vs G1 0.533 0.183 1.70 0.78 3.74

Abbreviations: B, regression coefficient; HR, hazard ratio; CI, confidence interval; MELD, Model for End-stage Liver Disease; ALBI, albumin-bilirubin grade.

Table 7.

Cox Proportional Hazards Model for Overall Survival and L3-SMI in Males and Females

L3-SMI B p-value HR 95.0% CI for HR
Lower Upper
Males −0.053 0.005 0.95 0.91 0.98
Females −0.052 0.118 0.95 0.89 1.01

Abbreviations: B, regression coefficient; HR, hazard ratio; CI, confidence interval; SMI, skeletal muscle index.

During follow up, 12 patients developed local recurrence. Recurrence-free survival was 84.1% at two years. Table 8 shows the factors associated with recurrence-free survival (RFS). RFS was not affected by all factors, including sarcopenia.

Table 8.

Factors Associated with Recurrence-Free Survival at Two Years in the Studied Group

n Events Cumulative Survival Proportion (%) p-value
Sarcopenia Yes 42 6 76.5 0.176
No 55 6 88.0
Age (years) > 50 66 8 83.9 0.984
≤ 50 31 4 84.7
Sex Male 72 10 82.4 0.461
Female 25 2 89.2
Diabetes mellitus Yes 22 4 77.8 0.453
No 75 8 86.3
Child Class A 64 10 81.0 0.214
B 33 2 90.7
MELD score > 9 56 6 86.8 0.341
≤ 9 41 6 80.9
ALBI Grade G1 66 9 82.9 0.624
G2 31 3 87.0
S. Creatinine (mg/dL) > 1.2 20 3 83.0 0.853
≤ 1.2 77 9 84.6
Hemoglobin (gm/dL) < 12 69 7 86.9 0.382
≥ 12 28 5 77.9
ALT (U/L) > 55 29 5 78.8 0.481
≤ 55 68 7 87.0
AST (U/L) > 40 92 12 83.4 0.434
≤ 40 5 0 100.0
INR > 1.1 93 12 83.6 0.520
≤ 1.1 4 0 100.0

Abbreviations: MELD, Model for End-stage Liver Disease; ALBI, albumin-bilirubin grade; Hb, hemoglobin; ALT, alanine aminotransferase; AST, aspartate aminotransferase; INR, international normalized ratio.

Discussion

The study demonstrated that sarcopenia was a common occurrence in patients with HCC treated by RFA, affecting 43.3% of them. Older age was the only factor associated with a higher frequency of sarcopenia. The overall survival of these patients at two years was 65.2% and recurrence-free survival was 84.1%. Sarcopenia was a surrogate predictor of overall survival at two years with a hazard ratio of 7.6 (95% CI: 3.1–18.8). On the other hand, there was no association between sarcopenia and disease recurrence in this series.

In Egypt, HCC is considered the most challenging health problem. According to recent statistical data, HCC is the most common cancer in Egyptian males.1 Many studies described a rising incidence of HCC, which could be attributed to better diagnostic and screening programs, increasing incidence of HCV and cirrhosis, and longer life expectancy of cirrhotic patients.22 Therefore, identifying patients with a high-mortality risk is an essential step to select the most satisfactory treatment for each patient according to his/her prognosis. Great efforts have been made in this respect that developed many prognostic staging systems. However, prognostic factors for HCC remain controversial. Assessment of general performance and nutritional and functional status of HCC patients can improve the predictive yield of existing staging systems.

A recent review found that many factors have been suggested to affect the survival of patients with HCC who underwent RFA. These prognostic factors include liver function as CTP class, high serum levels of AFP, and the presence of portosystemic collaterals.23 In the current study, we investigated the prognostic significance of sarcopenia in patients with early-stage HCC treated with RFA. All patients in the present study developed HCC on top of HCV-associated cirrhosis. This particular group is impressive because chronic liver diseases are considered a risk factor for sarcopenia.24 A recent systematic review of 13 studies including 3111 patients indicated a significant association between sarcopenia and all-cause mortality with a pooled adjusted hazard ratio of 1.95 (95% CI: 1.60–2.37).25 Comparable to the present study, most studies did not find an association between sarcopenia and HCC recurrence.25

Sarcopenia has gained increasing interest as a preoperative prognostic indicator in many cancer types.21,26,27 Previous studies identified sarcopenia as a predictor of poor survival of HCC patients undergoing liver resection.28–31 However, few studies investigated the impact of sarcopenia on the outcome of RFA. One study included patients subjected to RFA (n=29) or surgical resection (n=61). The authors reported impaired overall survival in sarcopenic patients with no difference between resection and RFA. The presence of sarcopenia did not affect recurrence.32 Another study said that low pre-treatment muscle mass was an independent predictor for survival. They evaluated muscle mass using the psoas muscle index (PMI, cm2/m2) on CT images.33 Yeh et al studied the prognostic role of pre-sarcopenia in patients treated with RFA. They defined pre-sarcopenia as psoas muscle area index < 4.24 and 2.50 cm2/m2 for males and females, respectively. The authors concluded that pre-sarcopenia is the prognostic factor of overall survival, but not of recurrence in early-stage HCC patients undergoing RFA.34

In the current study, 43.3% of the patients had sarcopenia. Previous studies have reported a widely variable frequency of sarcopenia in patients with HCC ranging from 12.4% to 66.3%.25 The only factor positively associated with sarcopenia was older age. However, the study sample was relatively younger than that reported in studies investigating the link between sarcopenia and RFA outcome. For example, 78% of patients in Yuri’s study33 were > 60 years, compared to only 9% in the current study. The mean age in Yeh’s study34 was 63.4 ± 10.1 years, while in the present study, it was 53.4±6.0 years. The younger age in the current study supports the concept that sarcopenia is an independent predictor of poor survival, even in younger patients. The young age also indicates the importance of chronic liver disease in the development of sarcopenia. It was reported to affect 30% to 70% of patients with cirrhosis.24

The pathogenesis of sarcopenia in cirrhosis is poorly explained, but suggested mechanisms have been proposed indicating an imbalance between muscle breakdown and formation. It is proposed to be affected by protein catabolism and hormonal and metabolic alteration leading to muscle depletion.24,35 These factors may predispose to poor survival in patients with HCC.36 Another mechanism may involve decreased insulin-like growth factor-1 (IGF-1), strongly associated with low muscle mass and strength.37 It has been reported that low plasma IGF-1 in HCC patients is associated with poor overall survival.38 Sarcopenia was also linked to the tumor necrosis factor-α system, which may enhance tumor migration and invasion in HCC.39

Many methods are available for the evaluation of skeletal muscle mass. These include dual-energy X-ray absorptiometry and bioelectrical impedance analysis. Currently, CT is considered the gold standard for sarcopenia evaluation owing to its accuracy and wide availability.40 Different CT methods are used to measure muscle mass. Like the present study, many investigators quantified sarcopenia by measuring muscle mass at the level of L3 vertebra on 2D planar sections of CT scans. This method has been recognized as the most accurate predictor of whole-body muscle mass41 and is accepted as a marker of sarcopenia and cachexia.42 Previous studies also showed a good correlation between total muscle area and psoas muscle area at the middle of the third lumbar vertebra level.43

In this series, the overall survival at two years was about 65.2%. This figure is a bit lower than some previous studies.44–46 This may be attributed to inclusion of post-HVC induced cirrhotic cases only in the current study. The most common causes of death were liver failure and sepsis (n=9, 27.3% for both), followed by metastases (21.2%)

There are some limitations to our study. First, we did not measure muscle strength or physical function in our patients. However, muscle mass loss is potentially associated with muscle strength decline. Studies are needed to incorporate muscle power or functional status, which would be as important as muscle mass for defining sarcopenia. Secondly, the follow-up period was relatively short and the sample size was quite small. HCV cirrhosis in many Egyptian patients is well known to be associated with a previous history of nosocomial HCV infection from parenteral mass treatment for schistosomiasis, a disease that is commonly associated with muscle wasting. Further studies should put this point into consideration in addition to the effect of treatment.

In conclusion, sarcopenia assessment might be an additional prognostic indicator with conventional biomarkers to optimize the selection criteria for receiving RFA for early-stage HCC. Future studies with a larger sample size and longer follow-up are vital to confirm the prognostic significance of sarcopenia in HCC patients receiving different treatment modalities.

Disclosure

The authors report no conflicts of interest in this work.

References

  • 1.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. doi: 10.3322/caac.21492 [DOI] [PubMed] [Google Scholar]
  • 2.Marrero JA, Kulik LM, Sirlin CB, et al. Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases. Hepatology. 2018;68:723–750. doi: 10.1002/hep.29913 [DOI] [PubMed] [Google Scholar]
  • 3.Salati U, Barry A, Chou FY, Ma R, Liu DM. State of the ablation nation: a review of ablative therapies for cure in the treatment of hepatocellular carcinoma. Future Oncol. 2017;13:1437–1448. doi: 10.2217/fon-2017-0061 [DOI] [PubMed] [Google Scholar]
  • 4.Shiina S, Tateishi R, Arano T, et al. Radiofrequency ablation for hepatocellular carcinoma: 10-year outcome and prognostic factors. Am J Gastroenterol. 2012;107:569–77; quiz 578. doi: 10.1038/ajg.2011.425 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kim Y, Lim HK, Rhim H, et al. Ten-year outcomes of percutaneous radiofrequency ablation as first-line therapy of early hepatocellular carcinoma: analysis of prognostic factors. J Hepatol. 2013;58:89–97. doi: 10.1016/j.jhep.2012.09.020 [DOI] [PubMed] [Google Scholar]
  • 6.Yang W, Yan K, Goldberg SN, et al. Ten-year survival of hepatocellular carcinoma patients undergoing radiofrequency ablation as a first-line treatment. World J Gastroenterol. 2016;22:2993–3005. doi: 10.3748/wjg.v22.i10.2993 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet Elsevier. 2019;393:2636–2646. doi: 10.1016/S0140-6736(19)31138-9 [DOI] [PubMed] [Google Scholar]
  • 8.Otten L, Stobäus N, Franz K, et al. Impact of sarcopenia on 1-year mortality in older patients with cancer. Age Ageing Oxford Acad. 2019;48:413–418. doi: 10.1093/ageing/afy212 [DOI] [PubMed] [Google Scholar]
  • 9.Nakanishi R, Oki E, Sasaki S, et al. Sarcopenia is an independent predictor of complications after colorectal cancer surgery. Surg Today. 2018;48:151–157. doi: 10.1007/s00595-017-1564-0 [DOI] [PubMed] [Google Scholar]
  • 10.Zhang X-M, Dou Q-L, Zeng Y, Yang Y, Cheng ASK, Zhang -W-W. Sarcopenia as a predictor of mortality in women with breast cancer: a meta-analysis and systematic review. BMC Cancer. 2020;20:172. doi: 10.1186/s12885-020-6645-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Cruz-Jentoft AJ, Landi F, Schneider SM, et al. Prevalence of and interventions for sarcopenia in ageing adults: a systematic review. Report of the International Sarcopenia Initiative (EWGSOP and IWGS). Age Ageing. 2014;43:748–759. doi: 10.1093/ageing/afu115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Janssen I, Heymsfield SB, Ross R. Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability. J Am Geriatr Soc. 2002;50:889–896. doi: 10.1046/j.1532-5415.2002.50216.x [DOI] [PubMed] [Google Scholar]
  • 13.Argilés JM, Busquets S, Stemmler B, López-Soriano FJ. Cachexia and sarcopenia: mechanisms and potential targets for intervention. Curr Opin Pharmacol. 2015;22:100–106. doi: 10.1016/j.coph.2015.04.003 [DOI] [PubMed] [Google Scholar]
  • 14.Eriksson S, Nilsson JH, Strandberg Holka P, Eberhard J, Keussen I, Sturesson C. The impact of neoadjuvant chemotherapy on skeletal muscle depletion and preoperative sarcopenia in patients with resectable colorectal liver metastases. HPB (Oxford). 2017;19:331–337. doi: 10.1016/j.hpb.2016.11.009 [DOI] [PubMed] [Google Scholar]
  • 15.Farhangfar A, Makarewicz M, Ghosh S, et al. Nutrition impact symptoms in a population cohort of head and neck cancer patients: multivariate regression analysis of symptoms on oral intake, weight loss and survival. Oral Oncol. 2014;50:877–883. doi: 10.1016/j.oraloncology.2014.06.009 [DOI] [PubMed] [Google Scholar]
  • 16.Marasco G, Serenari M, Renzulli M, et al. Clinical impact of sarcopenia assessment in patients with hepatocellular carcinoma undergoing treatments. J Gastroenterol. 2020;55:927–943. doi: 10.1007/s00535-020-01711-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Bruix J, Sherman M. Management of hepatocellular carcinoma: an update. Hepatology. 2011;53:1020–1022. doi: 10.1002/hep.24199 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.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. doi: 10.1097/MCG.0b013e318293a825 [DOI] [PubMed] [Google Scholar]
  • 19.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. 1998;85:115–122. doi: 10.1152/jappl.1998.85.1.115 [DOI] [PubMed] [Google Scholar]
  • 20.Mourtzakis M, Prado CMM, 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. doi: 10.1139/H08-075 [DOI] [PubMed] [Google Scholar]
  • 21.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. doi: 10.1200/JCO.2012.45.2722 [DOI] [PubMed] [Google Scholar]
  • 22.Abd-Elsalam S, Elwan N, Soliman H, et al. Epidemiology of liver cancer in Nile delta over a decade: a single-center study. South Asian J Cancer. 2018;7:24–26. doi: 10.4103/sajc.sajc_82_17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Canale M, Ulivi P, Foschi FG, et al. Clinical and circulating biomarkers of survival and recurrence after radiofrequency ablation in patients with hepatocellular carcinoma. Crit Rev Oncol Hematol. 2018;129:44–53. doi: 10.1016/j.critrevonc.2018.06.017 [DOI] [PubMed] [Google Scholar]
  • 24.Dasarathy S. Consilience in sarcopenia of cirrhosis. J Cachexia Sarcopenia Muscle. 2012;3:225–237. doi: 10.1007/s13539-012-0069-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Chang K-V, Chen J-D, Wu W-T, Huang K-C, Hsu C-T, Han D-S. Association between loss of skeletal muscle mass and mortality and tumor recurrence in hepatocellular carcinoma: a systematic review and meta-analysis. Liver Cancer. 2018;7:90–103. doi: 10.1159/000484950 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Prado CMM, 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. doi: 10.1016/S1470-2045(08)70153-0 [DOI] [PubMed] [Google Scholar]
  • 27.Thoresen L, Frykholm G, Lydersen S, et al. Nutritional status, cachexia and survival in patients with advanced colorectal carcinoma. Different assessment criteria for nutritional status provide unequal results. Clin Nutr. 2013;32:65–72. doi: 10.1016/j.clnu.2012.05.009 [DOI] [PubMed] [Google Scholar]
  • 28.Voron T, Tselikas L, Pietrasz D, et al. Sarcopenia impacts on short- and long-term results of hepatectomy for hepatocellular carcinoma. Ann Surg. 2015;261:1173–1183. doi: 10.1097/SLA.0000000000000743 [DOI] [PubMed] [Google Scholar]
  • 29.Harimoto N, Shirabe K, Yamashita Y-I, et al. Sarcopenia as a predictor of prognosis in patients following hepatectomy for hepatocellular carcinoma. Br J Surg. 2013;100:1523–1530. doi: 10.1002/bjs.9258 [DOI] [PubMed] [Google Scholar]
  • 30.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. doi: 10.1007/s00535-014-0964-9 [DOI] [PubMed] [Google Scholar]
  • 31.Itoh S, Shirabe K, Matsumoto Y, et al. Effect of body composition on outcomes after hepatic resection for hepatocellular carcinoma. Ann Surg Oncol. 2014;21:3063–3068. doi: 10.1245/s10434-014-3686-6 [DOI] [PubMed] [Google Scholar]
  • 32.Levolger S, Vledder MG, Van, Muslem R, et al. Sarcopenia impairs survival in patients with potentially curable hepatocellular carcinoma. J Surg Oncol. 2015;112:208–213. doi: 10.1002/jso.23976 [DOI] [PubMed] [Google Scholar]
  • 33.Yuri Y, Nishikawa H, Enomoto H, et al. Implication of psoas muscle index on survival for hepatocellular carcinoma undergoing radiofrequency ablation therapy. J Cancer. 2017;8:1507–1516. doi: 10.7150/jca.19175 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Yeh W-S, Chiang P-L, Kee K-M, et al. Pre-sarcopenia is the prognostic factor of overall survival in early-stage hepatoma patients undergoing radiofrequency ablation. Medicine. 2020;99:e20455. doi: 10.1097/MD.0000000000020455. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Sinclair M, Gow PJ, Grossmann M, Angus PW. Review article: sarcopenia in cirrhosis–aetiology, implications and potential therapeutic interventions. Aliment Pharmacol Ther. 2016;43:765–777. doi: 10.1111/apt.13549 [DOI] [PubMed] [Google Scholar]
  • 36.Vitale G, Cesari M, Mari D. Aging of the endocrine system and its potential impact on sarcopenia. Eur J Intern Med. 2016;35:10–15. doi: 10.1016/j.ejim.2016.07.017 [DOI] [PubMed] [Google Scholar]
  • 37.Gielen E, O’Neill TW, Pye SR, et al. Endocrine determinants of incident sarcopenia in middle-aged and elderly European men. J Cachexia Sarcopenia Muscle. 2015;6:242–252. doi: 10.1002/jcsm.12030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Elmashad N, Ibrahim WS, Mayah WW, et al. Predictive value of serum insulin-like growth factor-1 in hepatocellular carcinoma. Asian Pac J Cancer Prev. 2015;16:613–619. doi: 10.7314/APJCP.2015.16.2.613 [DOI] [PubMed] [Google Scholar]
  • 39.Sachdeva M, Chawla YK, Arora SK. Immunology of hepatocellular carcinoma. World J Hepatol. 2015;7:2080–2090. doi: 10.4254/wjh.v7.i17.2080 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Landi F, Calvani R, Cesari M, et al. Sarcopenia: an overview on current definitions, diagnosis and treatment. Curr Protein Pept Sci. 2018;19:633–638. doi: 10.2174/1389203718666170607113459 [DOI] [PubMed] [Google Scholar]
  • 41.Shen W, Punyanitya M, Wang Z, et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol (1985). 2004;97:2333–2338. doi: 10.1152/japplphysiol.00744.2004 [DOI] [PubMed] [Google Scholar]
  • 42.Golse N, Bucur PO, Ciacio O, et al. A new definition of sarcopenia in patients with cirrhosis undergoing liver transplantation. Liver Transpl. 2017;23:143–154. doi: 10.1002/lt.24671 [DOI] [PubMed] [Google Scholar]
  • 43.Hiraoka A, Aibiki T, Okudaira T, et al. Muscle atrophy as pre-sarcopenia in Japanese patients with chronic liver disease: computed tomography is useful for evaluation. J Gastroenterol. 2015;50:1206–1213. doi: 10.1007/s00535-015-1068-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Cabibbo G, Maida M, Genco C, et al. Survival of patients with hepatocellular carcinoma (HCC) treated by percutaneous radio-frequency ablation (RFA) is affected by complete radiological response. PLoS One. 2013;8:e70016. doi: 10.1371/journal.pone.0070016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kikuchi L, Menezes M, Chagas AL, et al. Percutaneous radiofrequency ablation for early hepatocellular carcinoma: risk factors for survival. World J Gastroenterol. 2014;20:1585–1593. doi: 10.3748/wjg.v20.i6.1585 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Waki K, Aikata H, Katamura Y, et al. Percutaneous radiofrequency ablation as first-line treatment for small hepatocellular carcinoma: results and prognostic factors on long-term follow up. J Gastroenterol Hepatol. 2010;25:597–604. doi: 10.1111/j.1440-1746.2009.06125.x [DOI] [PubMed] [Google Scholar]

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