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SYSTEMATIC REVIEW article

Front. Oncol., 19 March 2024
Sec. Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers

Prevalence and predictive value of sarcopenia in surgically treated cholangiocarcinoma: a comprehensive review and meta-analysis

  • 1Clinical Medical College of Chengdu Medical College, Chengdu, Sichuan, China
  • 2Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China

Background: Sarcopenia, marked by a reduction in skeletal muscle mass and function, is a condition that can manifest in elderly patients with cancer and has been recognized as a possible adverse factor affecting the survival of individuals diagnosed with malignant tumors. This systematic review and meta-analysis aimed to examine the prevalence of sarcopenia in individuals with cholangiocarcinoma while concurrently investigating the potential correlations between the presence of sarcopenia and various critical factors, including survival outcomes and postoperative complications.

Methods: A comprehensive search was conducted across multiple databases, including EMBASE, PubMed, Web of Science, Cochrane Library, and CNKI, employing keywords such as sarcopenia, cholangiocarcinoma, and prognosis. This research explored the prognostic value of sarcopenia on the survival of cholangiocarcinoma. The findings of this meta-analysis were presented using forest plots and a summarized effects model. The Newcastle-Ottawa Scale (NOS) was employed to evaluate the quality of the studies included in the analysis.

Results: A total of 33 articles from five databases were in in the quantitative analysis. A comprehensive meta-analysis revealed that the overall prevalence of sarcopenia among individuals diagnosed with cholangiocarcinoma was43%. Moreover, the analysis revealed a significant and noteworthy correlation between sarcopenia and key clinical parameters such as overall survival (OS), Recurrence-Free Survival (RFS), and Disease-Free Survival (DFS) in patients with cholangiocarcinoma. Subgroup analysis revealed that, when categorized by various ethnicities, diagnostic techniques, and tumor locations, sarcopenia consistently retained its status as a negative predictive factor. Furthermore, sarcopenia has emerged as a risk factor for postoperative complications. All included studies had an NOS score greater than 5, indicating a high quality of evidence.

Conclusion: The results suggest that sarcopenia is significantly related to survival outcomes and postoperative complications in cholangiocarcinoma. Appropriate diagnosis and treatment of sarcopenia should be implemented to improve the prognosis of individuals with cholangiocarcinoma.

Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023479866, identifier CRD42023479866.

Introduction

Cholangiocarcinoma, a highly malignant tumor of biliary epithelial cells with poor prognosis, can be categorized into three distinct anatomical regions: intrahepatic, perihilar, and distal bile duct (1). It is imperative to recognize that each of these anatomical subtypes presents distinctive clinical manifestations, demanding tailored therapeutic strategies for optimal patient care (2). The most frequently occurring cancer at the bifurcation of the bile duct is perihilar cholangiocarcinoma (3).In contrast, intrahepatic cholangiocarcinoma is the second most prevalent hepatic malignancy, often marked by delayed diagnosis and fatal outcomes, surpassed only by hepatocellular carcinoma (4). Cholangiocarcinoma accounts for 3% of total gastrointestinal tumors and comprises 10%-15% of all hepatic and biliary tumors (5). In recent decades, the global incidence of cholangiocarcinoma has increased, particularly in Asian nations (6). Presently, the predominant approach for the treatment of most patients with cholangiocarcinoma is surgical resection in conjunction with chemotherapy or chemoradiation (7). Nevertheless, post-surgery, chemotherapy, and chemoradiation frequently give rise to a range of complications and adverse reactions, thereby contributing to an unfavorable prognosis for patients. In addition to factors associated with tumors, several modifiable elements can be adjusted or improved, and these factors significantly influence the prognosis of these individuals (8, 9). Consequently, the identification of these factors will aid healthcare professionals in making informed treatment decisions aimed at enhancing the prognosis of individuals with cholangiocarcinoma.

Recently, there has been growing focus on the impact of alterations in body composition on the prognosis of individuals diagnosed with cholangiocarcinoma. As individuals age, these alterations in body composition primarily entail a reduction in muscle mass, coupled with a simultaneous increase in adipose tissue (10). Sarcopenia is a pivotal clinical aspect of malnutrition linked to cancer (11). Cancer-related malnutrition is a multifaceted syndrome characterized by a gradual decline in skeletal muscle mass, strength, and functionality (12). Computed tomography (CT) has become a valuable tool for tumor imaging and assessing the effectiveness of treatments in cancer patients, and it can also be used to evaluate skeletal muscle mass (13, 14). The evaluation of Skeletal Muscle Index (SMI) through CT demonstrates a significant association with overall muscle mass and represents the prevailing method for characterizing sarcopenia (15). A systematic review of 18 articles encompassing 2929 individuals with cholangiocarcinoma revealed that the prevalence of postoperative sarcopenia among these individuals was 48.4%. Moreover, sarcopenia exhibited a substantial and independent association with overall survival (16). Additionally, in the past two years, multiple studies have assessed the predictive significance of sarcopenia in individuals with cholangiocarcinoma. However, the outcomes of these investigations have exhibited variations and controversies.

Hence, a systematic review and meta-analysis were performed to ascertain the overall prevalence and evaluate the predictive significance of sarcopenia in individuals with cholangiocarcinoma. The aim was to equip clinicians with ample data to facilitate informed decisions aimed at enhancing the prognosis of such individuals.

Methodology

This systematic review followed the principles outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (17). This meta-analysis was registered in PROSPERO (registration number: CRD42023479866).

Search strategy

Two researchers independently searched for observational studies in specified electronic databases, spanning from the inception of the databases up to November 2023. The PubMed, EMBASE, Cochrane Library, Web of Science, and CNKI databases were used. The search used a combination of MeSH (Medical Subject Headings) terms and specific free words, including sarcopenia, body composition, low skeletal muscle mass, cholangiocarcinoma, skeletal muscle index, cholangiocellular carcinoma, biliary tract cancer, cholangiocellular cancer, and biliary tract carcinoma. Additionally, to identify further relevant articles, the references of the selected articles and pertinent systematic reviews were scrutinized. Before the final analysis, a comprehensive literature re-search was conducted to ensure that the most recent relevant research was not overlooked. Supplementary Table 1 illustrates the comprehensive search strategy used for each database.

Inclusion criteria

The inclusion criteria for the study were defined as follows:

● Participants: Individuals over the age of 18 years with cholangiocarcinoma who had undergone surgical resection with or without neoadjuvant therapy, unrestricted by sex, race, or nationality.

● Exposure: Individuals with sarcopenia or low skeletal muscle mass. The diagnostic criteria and cutoff values for sarcopenia were not restricted. All patients were diagnosed with sarcopenia prior to surgery.

● Outcomes: Prevalence of sarcopenia, overall survival (OS), disease-free survival (DFS), recurrence-free survival (RFS), postoperative complications, duration of hospital stay, and in-hospital mortality. Recurrence-free survival was defined as the time from initial surgical resection to recurrence (18). Disease-free survival was defined as survival without death or disease relapse (19).

● Study Design: Observational studies, such as cross-sectional, case-control, and cohort studies, were included.

Exclusion criteria

The exclusion criteria were defined as follows:

● Studies without clear diagnostic criteria to assess sarcopenia or low skeletal muscle mass.

● Studies that did not include primary data, such as those exclusively available in the form of conference abstracts, editorials, or commentaries, were excluded.

● In cases where the same patient cohort was featured in multiple publications, preference was given to studies that presented more relevant and appropriate data for our investigation.

Literature selection

Two researchers conducted an initial independent literature screening. In instances of disagreement between researchers, these disparities were addressed through discussion or by reaching a consensus with a third-party reviewer. The removal of duplicate articles was the first step and was executed using EndNote X9 software, followed by the screening of titles and abstracts. Subsequently, the full text of each article was scrutinized to determine their inclusion in the study.

Data extraction

Two researchers individually extracted and record data within a predefined, standardized electronic spreadsheet utilizing Microsoft Excel 2019. Any disagreements that arose during this process were resolved through discussion or by reaching a consensus with a third-party reviewer. The following data were systematically retrieved:

● Study attributes, including the first author’s name and year of publication.

● Specifics regarding the study design, setting, and geographical region where the research was conducted.

● Pertinent details concerning the study participants included mean age, total sample size, tumor localization, postoperative complications, and sex.

● The diagnostic criteria employed for assessing sarcopenia or low skeletal muscle mass encompassed the methods, parameters, and designated cut-off values.

Quality assessment of the literature

Two researchers individually assessed the risk of bias (RoB) in the studies incorporated into the review by employing the Newcastle-Ottawa Scale (NOS) (20). The NOS encompasses three dimensions comprising eight items, with a maximum attainable score of nine points. Studies that received an NOS score greater than seven were categorized as having a low RoB, those scoring between 5 and 7 were classified as demonstrating a moderate risk, and those scoring less than five were deemed to have a high risk. Any discrepancies between the researchers were addressed through discussion or by consultation with a third reviewer.

Statistical analysis

In this study, the primary outcomes of interest included the prevalence of sarcopenia, OS, DFS, and RFS. The secondary outcomes included postoperative complications, sepsis, and hospital stay. For each specific outcome, the hazard ratios (HRs), prevalence, weighted mean difference (WMD), odds ratios (ORs), and 95% confidence intervals (CIs) were obtained through univariate and/or multivariate analyses conducted in each eligible study. The pooled prevalence, HRs, WMD, ORs, and 95%CIs were quantified. Meta-analyses were executed for each outcome when data from more than two studies were available. Otherwise, a descriptive analysis was performed.

Additionally, a subgroup analysis was executed based on tumor localization, SMI/Psoas Muscle Index (PMI), and ethnicity. The Cochrane’s Q statistic and the degree of heterogeneity were quantified using the I2 statistic, with I2>=50% and P<0.10 indicated significant and substantial heterogeneity. A fixed-effects model was applied in the absence of substantial heterogeneity, whereas a random-effects model was used in the presence of substantial heterogeneity. Sensitivity analysis was carried out by sequential exclusion of every study and subsequent recalculation of the statistics. To assess publication bias, funnel plots were scrutinized or Egger’s test was employed when the number of studies exceeded 10. A two-sided P<0.05 was deemed statistically significant. All statistical analyses were performed using Stata v 10.0 (StataCorp, College Station, TX, USA) and R 4.1.3 software (https://www.r-project.org/about.html).

Results

Search results

The selection process for the literature included in this meta-analysis is shown in the flow diagram in Figure 1. After an initial search of the electronic databases, 313 studies were obtained. After eliminating duplicate entries, 125 studies were excluded. A review of titles and abstracts led to the exclusion of 67 studies, as they were deemed irrelevant, resulting in 58 studies that were subjected to full-text screening. After full-text screening, 25 studies were eliminated either due to non-compliance with inclusion criteria or due to unavailability of data. Ultimately, 33 article (2153) were included in the meta-analysis (Figure 1).

Figure 1
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Figure 1 Flow diagram of literature screening.

Study attributes

In this meta-analysis, two studies were prospective cohort studies; 31 were retrospective cohort studies, and case control studies were among them. Most of this research has been published in the past five years. The cumulative study population included a total of 5173 subjects, with ages ranging from 35 to 89 years. All the studies were included inpatients. Most of the studies have been conducted in Europe and Asia. Most of the literature focuses on intrahepatic cholangiocarcinoma. Supplementary Table 2 shows the details of the attributes of the included studies.

Diagnostic criteria for sarcopenia

In this review, the most commonly used method to assess the muscle mass index was SMI calculation using axial CT at the third lumbar vertebra (L3) (n=17). Fifteen studies diagnosed sarcopenia using the PMI. Additionally, one study diagnosed sarcopenia by measuring the total psoas muscle area (TPA).

Quality evaluation of the incorporated studies

NOS was employed to examine the quality of the studies. 27 studies were considered to be of high quality, and the remainder were of moderate quality. The comprehensive results of quality evaluation is shown in Supplementary Table 2.

Primary outcomes

Overall prevalence of sarcopenia in individuals with cholangiocarcinoma

Thirty-two studies reported the prevalence of sarcopenia in individuals with cholangiocarcinoma. The reported prevalence rates in these studies range from 13% to 86%. Heterogeneity tests indicated considerable heterogeneity; hence, a random-effects model was utilized (I2 = 95.1%, P<0.001). The meta-analysis demonstrated that the overall prevalence of sarcopenia in individuals with cholangiocarcinoma was 46% (95% CI, 40%-52%) (Figure 2). Visual analysis using a funnel plot (Supplementary Figure 1) and Egger’s test (P=0.917) did not reveal any indications of publication bias. Sensitivity analysis demonstrated that no single study considerably affected the overall prevalence of sarcopenia in individuals, underscoring the robustness of the meta-analysis results (Supplementary Figure 2).

Figure 2
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Figure 2 Forest plot of prevalence of sarcopenia in patients with cholangiocarcinoma.

Subgroup analysis, categorized by the location of cholangiocarcinoma, highlighted that the prevalence of sarcopenia was 42% in individuals with perihilar cholangiocarcinoma, 50% in patients with distal cholangiocarcinoma and 48% in those with intrahepatic cholangiocarcinoma (Figure 2).

Further, subgroup analyses were performed based on different skeletal muscle measurement methods. In studies using PMI, the prevalence of sarcopenia was 47%, whereas in studies using SMI, the prevalence of sarcopenia was 46% (Table 1).

Table 1
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Table 1 Subgroup analyses on the prevalence of sarcopenia and sarcopenic obesity.

Subgroup analyses based on ethnicity demonstrated that the prevalence of sarcopenia was 38% in Caucasian patients, while it was 46% in Asian patients (Table 1).

Five studies reported on the prevalence of sarcopenic obesity in individuals with cholangiocarcinoma. A meta-analysis employing a random-effects model highlighted that the prevalence of sarcopenic obesity in patients was 9% (95% CI, 5%-12%) (Supplementary Figure 3).

Overall survival

HR analysis for OS included 24 studies. Significant heterogeneity was observed, necessitating the use of a random-effects model. The meta-analysis demonstrated a notable link between sarcopenia and reduced OS in both multivariate (HR=2.10; 95% CI, 1.72-2.56, I2 = 58.7%, P<0.001, 20 studies; Figure 3) and univariate analyses (HR=2.04; 95% CI, 1.74-2.40, I2 = 0%, P<0.001, 10 studies; Supplementary Figure 4). Subgroup analyses were carried out based on tumor location, diagnostic method, whether adjuvant chemotherapy was combined, and ethnicity: detailed results are presented in Table 2 and Supplementary Table 3. The funnel plot displayed symmetry, indicating no evidence of publication bias, a conclusion supported by the Egger’s test (P=0.183).

Figure 3
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Figure 3 Forest plot of studies evaluating hazard ratios of sarcopenia and the overall survival of cholangiocarcinoma (adjusted hazard ratio values).

Table 2
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Table 2 Subgroup analyses in terms of overall survival, disease-free survival and Recurrence-free survival (adjusted HR).

Furthermore, 17 studies reported the median survival times. Among them, 11 studies indicated that individuals with sarcopenia exhibited shorter median survival times than those without sarcopenia in cholangiocarcinoma. See Figure 4.

Figure 4
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Figure 4 The median overall survival between sarcopenic and nonsarcopenic patients with cholangiocarcinoma.

Recurrence-free survival

Ten studies were included in the HR analysis for RFS. The meta-analysis, employing a fixed-effects model, demonstrated a significant association between sarcopenia and adverse RFS in both multivariate (HR= 2.33, 95% CI 1.93-2.82, I2 = 0%, P<0.001, 6 studies; Supplementary Figure 5) and univariate analyses (HR= 1.88, 95% CI 1.55-2.28, I2 = 0%, P<0.001, 9 studies; Supplementary Figure 6). The outcomes of subgroup analyses are presented in the Table 2 and Supplementary Table 3.

In addition, four studies reported median RFS. Of these, two studies suggested that individuals with sarcopenia exhibited a shorter median RFS than those without sarcopenia in cholangiocarcinoma. See Figure 5.

Figure 5
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Figure 5 The median Disease-Free Survival/Recurrence-Free survival between sarcopenic and nonsarcopenic patients with cholangiocarcinoma.

Disease-free survival

Four studies were included in the HR analysis of DFS. The meta-analysis carried out using a random-effects model, revealed a notable association between sarcopenia and poorer DFS in multivariate analysis (HR= 2.14, 95% CI 1.62-2.83, I2 = 74.1%, P<0.001, three studies; Supplementary Figure 7). Additionally, the same relationship was noticed in univariate analysis utilizing a fixed-effects model (HR= 2.20, 95% CI 1.68-2.88, I2 = 37.8%, P<0.001, four studies; Supplementary Figure 8). The findings of subgroup analyses are shown in Table 2 and Supplementary Table 3.

Additionally, five studies reported the median DFS. One study suggested that individuals with sarcopenia had a shorter median DFS than those without sarcopenia in cholangiocarcinoma. See Figure 5.

Secondary outcomes

Postoperative complications

Six studies reported on the number of patients who developed postoperative complications. Given the lack of significant heterogeneity in the test results, a fixed-effects model was employed. The meta-analysis highlighted that individual with cholangiocarcinoma who had sarcopenia exhibited a heightened risk of postoperative death relative to those without sarcopenia (OR=2.01; 95% CI, 1.38-2.92, I2 = 0%, P<0.001, Figure 6A).

Figure 6
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Figure 6 Forest plot of odds ratios for postoperative complications in sarcopenic patients compared with non-sarcopenic patients with cholangiocarcinoma. (A) Unspecified complication; (B) severe complication; (C) sepsis.

Thirteen studies reported the number of patients who developed serious postoperative complications. Again, because of the non-significant heterogeneity, a fixed-effects model was employed. The meta-analysis highlighted that cholangiocarcinoma patients with sarcopenia exhibited a heightened risk of serious postoperative complications relative to those without sarcopenia (OR=1.41; 95% CI, 1.17-1.69, I2 = 46%, P<0.001, Figure 6B).

Notably, four studies specifically reported the number of patients who developed postoperative sepsis. Because no significant heterogeneity was observed, a fixed-effects model was used. The meta-analysis demonstrated that cholangiocarcinoma patients with sarcopenia exhibited a heightened risk of developing sepsis after surgery relative to those without sarcopenia (OR=2.63; 95% CI, 1.39-4.96, I2 = 36.9%, P=0.003, Figure 6C).

Postoperative mortality

Ten studies reported the number of postoperative deaths among the included patients, and as heterogeneity was not significant, a fixed-effects model was utilized. The meta-analysis found that the risk of postoperative mortality was higher in individuals with cholangiocarcinoma who had sarcopenia than in those without sarcopenia (OR=2.84; 95% CI, 1.90-4.26, I2 = 0%, P<0.001, Supplementary Figure 9).

Length of hospital stay

Eight studies provided data on the length of hospital stay of the included patients. Owing to the significant heterogeneity, a random-effects model was used. The meta-analysis found that cholangiocarcinoma patients with sarcopenia exhibited a longer hospital stay (WMD=2.37; 95% CI, 1.62-2.83, I2 = 50.1%, P=0.003, Supplementary Figure 10).

Discussion

Some patients diagnosed with cholangiocarcinoma may experience challenges such as reduced food intake resulting from pain or prolonged bed rest after surgery, putting them at a relatively high risk of malnutrition (54). Therefore, it is crucial to find a reliable indicator to determine the nutritional status of individuals with cholangiocarcinoma and provide appropriate nutritional support. Traditional Body Mass Index (BMI) cannot accurately reflect nutritional status and body composition and has certain limitations (55). Other indices, including Patient-Generated Subjective Global Assessment (PG-SGA), Malnutrition Screening Tool (MST), and Nutritional Risk Screening (NRS), have been used clinically to determine the nutritional level of individuals with cancer (56). Nevertheless, the predictive value of these indicators is limited, and they have not been widely applied in clinical practice. Consequently, there is a need to identify an indicator that to accurately predicts the malnutrition status of individuals with cholangiocarcinoma. Sarcopenia has recently emerged as a promising new nutritional marker owing to its strong predictive capabilities. Sarcopenia is characterized by the infiltration of connective tissue and fat into muscle tissue, reduction in the number of type 1 and type 2 fibers, and decrease in motor units (57). As a result, sarcopenia has garnered attention as a pivotal indicator for assessing nutritional status, particularly in cancer patients.

This research examined the overall prevalence and prognostic significance of sarcopenia in individuals with cholangiocarcinoma. The findings indicate that the overall prevalence of sarcopenia in individuals with cholangiocarcinoma is 46%, with a higher proportion of patients with distal cholangiocarcinoma developing sarcopenia than those with intrahepatic cholangiocarcinoma (50% vs. 48%). Sarcopenia is significantly associated with poor OS, RFS, and DFS, increased risk of postoperative death, postoperative complications, and longer hospital stays.

This study found that over 40 percent of adult patients with cholangiocarcinoma were affected by sarcopenia, and nearly one in ten patients present with sarcopenic obesity. The prevalence of sarcopenia in individuals with distal cholangiocarcinoma is slightly elevated relative to the other two types of cholangiocarcinoma. Embryologically, intrahepatic cholangiocytes arise from bipotent hepatoblasts, and extrahepatic cholangiocytes share an embryologic origin with the ventral pancreas (58). Patients with distal cholangiocarcinoma are more prone to malignant obstruction of the biliary tract, resulting in a worse quality of life. Surgery for distal cholangiocarcinoma, like all peripancreatic malignancies, requires a pancreaticoduodenectomy, a procedure that is more traumatic and associated with significant physical consumption (59). It is worth to mention that the neoadjuvant chemotherapy may have impact on the prevalence of sarcopenia. Taniai et al. (40) reported that there tended to be a lack of adjuvant chemotherapy in sarcopenia group (46% vs. 77%). This phenomenon illustrates that patients with sarcopenia are generally less willing to undergo neoadjuvant chemotherapy than those without sarcopenia. During chemotherapy, patients with cancer may also experience muscle wasting, which can be attributed to factors such as reduced food intake, decreased physical activity due to fatigue, direct effects of chemotherapy on muscles, and poor absorption due to mucositis or anorexia (60). However, the role of adjuvant chemotherapy in patients with resected bile duct cancer is controversial. There are few reports on the impact of neoadjuvant therapy in patients with cholangiocarcinoma, although the efficacy of neoadjuvant therapy followed by surgery for “unresectable” locally advanced cholangiocarcinoma has been reported (61). Moreover, although some studies have reported the incidence of sarcopenia in patients with cholangiocarcinoma, the included patient population was limited to only a subset that received neoadjuvant chemotherapy. Based on available data, we could not determine whether neoadjuvant chemotherapy had a negative impact on the development of sarcopenia. At present, the precise mechanism underlying sarcopenia in individuals diagnosed with cholangiocarcinoma remains unclear. This condition may be attributed to elevated levels of systemic inflammatory markers and insulin resistance in patients with cancer. These factors can potentially disrupt the normal metabolism of fat and result in a reduction in muscle mass, consequently contributing to the development of sarcopenia (62). Conversely, an intricate dynamic involving increased nutritional requirements and decreased intake, which can result from tumor invasion and lead to malnutrition in cancer patients, is also a contributing factor to the development of sarcopenia (63). The effect of sarcopenia on the prognosis of individuals with gastrointestinal tumors has been the focus of most recent studies, mainly on individuals with pancreatic or colorectal cancer who have higher rates of sarcopenia. According to Pamoukdjian et al., the overall prevalence of sarcopenia among cancer patients is 40% (64). The overall prevalence of sarcopenia in cholangiocarcinoma patients included in this research was higher than the average, and sarcopenia may lead to adverse outcomes in the cholangiocarcinoma patient population. Hence, healthcare providers should prioritize screening for sarcopenia in patients with cholangiocarcinoma as a routine aspect of future clinical practice.

The term “sarcopenia” essentially denotes a deficiency in muscle mass. Nevertheless, certain international bodies assert that aside from muscle mass loss, the diagnostic criteria for sarcopenia should encompass a decrease in muscle strength and/or diminished physical performance (65). Although this diagnostic criterion has garnered widespread recognition within the field of geriatric medicine, cancer research still necessitates the evaluation of muscle mass as a fundamental parameter. In our view, it is not rigorous for most studies to define sarcopenia solely by using SMI or PMI. While CT scans are advocated as the gold standard for estimating muscle mass, it is important to note that CT scans are unable to assess muscle strength directly. This study observed that the diagnosis of sarcopenia in most of the studies incorporated in this review relied on SMI, which was assessed by measuring the muscle area on axial CT scans at the L3 level. Nevertheless, a minority of studies have posited that, especially in patients with gastrointestinal tumors, skeletal muscle strength and/or physical function could better predict the predictive significance of cancer-related sarcopenia (66, 67). Consequently, the inclusion of muscle strength and physical function in the future diagnosis of sarcopenia in individuals with cholangiocarcinoma should be validated in further prospective cohort studies.

According to the findings of the meta-analysis, the forest plots demonstrated that sarcopenia can predict worse OS, RFS, and DFS. Moreover, according to the outcomes of subgroup analysis, sarcopenia is still notably linked to unfavorable OS across various populations, tumor localization, and even diverse sarcopenia measurement methods. In the subgroup analysis of patients who received only surgical treatment, sarcopenia was not significantly associated with prognosis. The high heterogeneity may be partly due to the clinical baseline imbalance of various subgroups and the limited number of studies. The high heterogeneity observed in the I2 value of this subgroup suggests that the pooled results may deviate from the actual results, and more research is required to validate this conclusion. Most studies show that individuals with sarcopenia have a shorter median OS than to those without sarcopenia. A few studies have indicated that individuals with sarcopenia have shorter median RFS and DFS than those without sarcopenia. Therefore, caution is warranted when interpreting the link between sarcopenia and RFS/DFS, and further investigation is essential. Sarcopenia has also been proven to be a risk factor for postoperative complications, particularly serious complications. Sarcopenia is intricately linked to the occurrence of postoperative sepsis, and patients with sarcopenia seem to have longer hospital stays after surgery than non-sarcopenic patients. When examining the underlying causes, it is evident that patients with sarcopenia are often in a state of heightened inflammation. This inflammatory state leads to the production and secretion of various pro-inflammatory cytokines, including tumor necrosis factor-alpha, interleukin-6, and C-reactive protein, etc. (43, 68, 69). These pro-inflammatory cytokines play a role in immunomodulation and can have detrimental effects on the immune response to surgical stress. They increase the risk of surgical site infections, hinder wound healing, and consequently elevate the risk of postoperative complications. An investigation of extrahepatic cholangiocarcinoma revealed that sarcopenic patients displayed a significantly lower count of CD8+ tumor-infiltrating lymphocytes (TILs) within the tumor than non-sarcopenic patients, indicating that sarcopenia affects not only systemic inflammation but also the local immune system (31). Moreover, research has highlighted the association between sarcopenia and insulin resistance, which can also impede the appropriate response to surgical stress and contribute to various complications (70). Thus, healthcare providers should focus on preoperative screening for sarcopenia, implement timely interventions, and reduce the incidence of postoperative complications.

Some of the studies included in this study reported that patients received neoadjuvant chemotherapy in addition to surgical treatment. Thus, the possibility that sarcopenia could lead to an increase in postoperative chemotherapy toxicity should be considered. Currently, postoperative adjuvant chemotherapy is regarded as a conventional treatment approach, given its potential to enhance patient survival (71). Currently, chemotherapy doses are typically calculated using the body surface area, which is derived from the height and weight of the patient, without considering variations in body composition. It is widely acknowledged that as individuals age, their body composition undergoes alterations, characterized by a decline in muscle mass and elevation in fat mass (72). In certain cases, individuals may even develop sarcopenic obesity, which could lead to an actual chemotherapy dosage that is too high owing to a high body surface area. An overdose of chemotherapeutic drugs can elevate chemotherapy toxicity, decrease the effectiveness of chemotherapy, increase the risk of sepsis, and severely affect the prognosis of patients with cholangiocarcinoma. Hence, clinicians should underscore the significance of considering sarcopenia when evaluating chemotherapy toxicity in cancer patients during clinical practice, given that sarcopenia reflects the nutritional and immune status of the patient (43). Among elderly patients with pancreatic cancer, sarcopenia can predict the poor success rate of adjuvant chemotherapy (73).Sarcopenia is a significant predictor of dose-limiting toxicity in patients with esophago-gastric cancer undergoing neo-adjuvant chemotherapy (74). We hypothesized that SMI/PMI would be good prognostic predictors for cholangiocarcinoma patients receiving neoadjuvant chemotherapy. Unfortunately, in this meta-analysis, no study explicitly addressed the influence of sarcopenia on chemotherapy toxicity. Hence, additional prospective studies are necessary to delve deeper into the influence of sarcopenia on chemotherapy toxicity across various cholangiocarcinoma subtypes.

Strengths and limitations

Previous studies have published related studies. Suorv et al. (16) performed a meta-analysis to examine the influence of sarcopenia on the long-term survival of individuals with cholangiocarcinoma. However, their analysis incorporated only 18 studies, with a research cut-off date of up to 2021. Over the subsequent two years, several new studies have been compiled and included in our meta-analysis. Surov et al. (75) also conducted a meta-analysis to analyze the prevalence of sarcopenia on staging computed tomography in patients with different malignant solid tumors. Subgroup analysis for the types of cholangiocarcinoma was not performed in their study. The present study has several strengths (1): it encompasses the largest number of studies and sample size, with a total of 33 included articles; (2) the analysis also incorporated the latest literature published up to 2023; and (3) this study provided a more comprehensive analysis than before. Subgroup analyses were conducted based on various cholangiocarcinoma types, and a deeper investigation into the relationship between OS and sarcopenia was performed. Additionally, previous studies did not report on postoperative complications and the length of hospital stay for sarcopenic patients, which were thoroughly assessed in this study. As a result, this research provides the most recent and comprehensive body of evidence to elucidate the effect of sarcopenia on the prognosis of patients with cholangiocarcinoma.

Nevertheless, it is essential to acknowledge the limitations of the present study. First, most of the included studies belonged to the retrospective cohort category, and certain subgroups had relatively small sample sizes, which might have led to an underestimation of the effect of sarcopenia on individuals with cholangiocarcinoma. Second, most studies concerned intrahepatic cholangiocarcinoma, with relatively little data on other locations. The prognosis of cholangiocarcinoma can differ according to its location. Third, there was variability in the diagnostic criteria and cutoff values for sarcopenia among the studies, which could potentially influence the outcomes. Fourth, the restricted number of included studies led to the inability to subject certain results to a meta-analysis, and they were presented graphically. Fifth, the treatment for perihilar cholangiocarcinoma is a highly invasive surgery. Biliary drainage, which can prolong preoperative waiting time (PWT), is often required before surgery. Percutaneous transhepatic biliary external drainage may be the preferred preoperative drainage method for hilar cholangiocarcinoma because of the low incidence of cholangitis and pancreatitis (76). Skeletal muscle mass may change during PWT, which could influence on surgical outcomes of perihilar cholangiocarcinoma. Zhang et al. (49) suggested that sarcopenia was an important predictor of poor OS after percutaneous transhepatic biliary drainage for patients with perihilar cholangiocarcinoma-related obstructive jaundice. Nevertheless, in the present meta-analysis, some included patients were treated with biliary drainage. We could not determine whether sarcopenia is associated with biliary drainage.

Clinical implications

Overall, the findings of this research affirm the perspective of previous studies indicating that radiologists should provide information regarding tumor staging as well as body composition. This is neither complex nor requires additional analysis, as muscle mass can be assessed during the staging process using CT scans. As mentioned previously, body composition and muscle mass can be affected. Existing research has demonstrated that preoperative exercise and nutritional support programs can mitigate sarcopenia and enhance the likelihood of reduced postoperative complications in surgical patients (77). Similarly, consuming carbohydrate and branched-chain amino acid snacks in the evening can enhance the nutritional status of individuals undergoing liver resection (78). This study suggests that special nutrition and exercise programs for patients with cholangiocarcinoma could also improve body composition, thereby preventing the occurrence of adverse events related to sarcopenia.

Conclusion

In summary, sarcopenia is very common in cholangiocarcinoma, is a strong prognostic predictor post-surgery, and is closely related to postoperative complications and length of hospital stay. Sarcopenia should be included in the routine postoperative assessment of individuals with cholangiocarcinoma, which may help clinicians adjust their treatment strategies and promptly provide appropriate nutritional support. Future studies, characterized by larger sample sizes and a prospective design, are required to delve deeper into the association between sarcopenia, chemotherapy toxicity, RFS, and DFS in cholangiocarcinoma.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author contributions

JH: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. YH: Software, Writing – review & editing. NH: Methodology, Software, Writing – review & editing. JJ: Formal analysis, Software, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Priming Scientific Research Foundation for the Introduced Talents of The First Affiliated Hospital of Chengdu Medical College (CYFY-GQ59).

Acknowledgments

We thank Bullet Edits Limited for the linguistic editing and proofreading of the manuscript.

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2024.1363843/full#supplementary-material

Supplementary Figure 1 | Funnel plot for prevalence of sarcopenia in patients with cholangiocarcinoma.

Supplementary Figure 2 | Sensitivity analysis for prevalence of sarcopenia in patients with cholangiocarcinoma.

Supplementary Figure 3 | Forest plot of prevalence of sarcopenic obesity in patients with cholangiocarcinoma.

Supplementary Figure 4 | Forest plot of studies evaluating hazard ratios of sarcopenia and the overall survival of cholangiocarcinoma (unadjusted hazard ratio values).

Supplementary Figure 5 | Forest plot of studies evaluating hazard ratios of sarcopenia and the Recurrence-Free survival of cholangiocarcinoma (adjusted hazard ratio values).

Supplementary Figure 6 | Forest plot of studies evaluating hazard ratios of sarcopenia and the Recurrence-Free survival of cholangiocarcinoma (unadjusted hazard ratio values).

Supplementary Figure 7 | Forest plot of studies evaluating hazard ratios of sarcopenia and the Disease-Free survival of cholangiocarcinoma (adjusted hazard ratio values).

Supplementary Figure 8 | Forest plot of studies evaluating hazard ratios of sarcopenia and the Disease-Free survival of cholangiocarcinoma (unadjusted hazard ratio values).

Supplementary Figure 9 | Forest plot of odds ratios for mortality associated with surgery in sarcopenic patients compared with non-sarcopenic patients with cholangiocarcinoma.

Supplementary Figure 10 | The length of hospital stay between sarcopenic and nonsarcopenic patients with cholangiocarcinoma.

References

1. Xu Y, Gao P, Wang Z, Su Z, Liao G, Han Y, et al. Circ-LAMP1 contributes to the growth and metastasis of cholangiocarcinoma via miR-556-5p and miR-567 mediated YY1 activation. J Cell Mol Med. (2021) 25:3226–38. doi: 10.1111/jcmm.16392

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Izumiya M, Kato S, Hippo Y. Recent advances in implantation-based genetic modeling of biliary carcinogenesis in mice. Cancers (Basel). (2021) 13:2292. doi: 10.3390/cancers13102292

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Blechacz B, Komuta M, Roskams T, Gores GJ. Clinical diagnosis and staging of cholangiocarcinoma. Nat Rev Gastroenterol Hepatol. (2011) 8:512–22. doi: 10.1038/nrgastro.2011.131

PubMed Abstract | CrossRef Full Text | Google Scholar

4. He C, Zhao C, Zhang Y, Chen C, Lin X. An inflammation-index signature predicts prognosis of patients with intrahepatic cholangiocarcinoma after curative resection. J Inflamm Res. (2021) 14:1859–72. doi: 10.2147/jir.S311084

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Sarcognato S, Sacchi D, Fassan M, Fabris L, Cadamuro M, Zanus G, et al. Cholangiocarcinoma. Pathologica. (2021) 113:158–69. doi: 10.32074/1591-951x-252

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Ishihara S, Horiguchi A, Miyakawa S, Endo I, Miyazaki M, Takada T. Biliary tract cancer registry in Japan from 2008 to 2013. J Hepatobiliary Pancreat Sci. (2016) 23:149–57. doi: 10.1002/jhbp.314

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Liu J, Liu Y, Zhang Y, Zheng J, Wang S, Cao G. Circular RNA hsa_circ_0004543 Aggravates Cervical Cancer Development by Sponging MicroRNA hsa-miR-217 to Upregulate Hypoxia-Inducible Factor. J Oncol. (2022) 2022:4031403. doi: 10.1155/2022/4031403

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Kwon HJ, Kim SG, Chun JM, Lee WK, Hwang YJ. Prognostic factors in patients with middle and distal bile duct cancers. World J Gastroenterol. (2014) 20:6658–65. doi: 10.3748/wjg.v20.i21.6658

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Hu HJ, Mao H, Shrestha A, Tan YQ, Ma WJ, Yang Q, et al. Prognostic factors and long-term outcomes of hilar cholangiocarcinoma: A single-institution experience in China. World J Gastroenterol. (2016) 22:2601–10. doi: 10.3748/wjg.v22.i8.2601

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Alharbi T, Ryan J, Freak-Poli R, Gasevic D, Scali J, Ritchie K, et al. Objectively assessed weight change and all-cause mortality among community-dwelling older people. Nutrients. (2022) 14:2983. doi: 10.3390/nu14142983

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Luo L, Shen X, Fang S, Wan T, Liu P, Li P, et al. Sarcopenia as a risk factor of progression-free survival in patients with metastases: a systematic review and meta-analysis. BMC Cancer. (2023) 23:127. doi: 10.1186/s12885-023-10582-2

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Johal J, Han CY, Joseph R, Munn Z, Agbejule OA, Crawford-Williams F, et al. Dietary supplements in people with metastatic cancer who are experiencing malnutrition, cachexia, sarcopenia, and frailty: a scoping review. Nutrients. (2022) 14:2642. doi: 10.3390/nu14132642

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Sprinz C, Zanon M, Altmayer S, Watte G, Irion K, Marchiori E, et al. Effects of blood glucose level on 18F fluorodeoxyglucose (18F-FDG) uptake for PET/CT in normal organs: an analysis on 5623 patients. Sci Rep. (2018) 8:2126. doi: 10.1038/s41598-018-20529-4

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Forouzannezhad P, Maes D, Hippe DS, Thammasorn P, Iranzad R, Han J, et al. Multitask learning radiomics on longitudinal imaging to predict survival outcomes following risk-adaptive chemoradiation for non-small cell lung cancer. Cancers (Basel). (2022) 14:1228. doi: 10.3390/cancers14051228

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Shaver AL, Platek ME, Singh AK, Ma SJ, Farrugia M, Wilding G, et al. Effect of musculature on mortality, a retrospective cohort study. BMC Cancer. (2022) 22:688. doi: 10.1186/s12885-022-09751-6

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Surov A, Pech M, Omari J, Melekh B, March C, Perrakis A, et al. Low skeletal muscle mass in cholangiocarcinoma treated by surgical resection. A meta-analysis. HPB (Oxford). (2022) 24:997–1006. doi: 10.1016/j.hpb.2021.11.012

CrossRef Full Text | Google Scholar

17. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Bmj. (2021) 372:n71. doi: 10.1136/bmj.n71

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Chen L, Lin J, Chen LZ, Chen Y, Wang XJ, Guo ZQ, et al. Perineural invasion and postoperative complications are independent predictors of early recurrence and survival following curative resection of gastric cancer. Cancer Manag Res. (2020) 12:7601–10. doi: 10.2147/cmar.S264582

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Wingard JR, Majhail NS, Brazauskas R, Wang Z, Sobocinski KA, Jacobsohn D, et al. Long-term survival and late deaths after allogeneic hematopoietic cell transplantation. J Clin Oncol. (2011) 29:2230–9. doi: 10.1200/jco.2010.33.7212

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. (2010) 25:603–5. doi: 10.1007/s10654-010-9491-z

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Ardito F, Coppola A, Rinninella E, Razionale F, Pulcini G, Carano D, et al. Preoperative assessment of skeletal muscle mass and muscle quality using computed tomography: incidence of sarcopenia in patients with intrahepatic cholangiocarcinoma selected for liver resection. J Clin Med. (2022) 11:1530. doi: 10.3390/jcm11061530

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Asai Y, Yamaguchi J, Mizuno T, Onoe S, Watanabe N, Igami T, et al. Impact of preoperative muscle mass and quality on surgical outcomes in patients undergoing major hepatectomy for perihilar cholangiocarcinoma. J Hepato-Biliary-Pancreatic Sci. (2022) 30:202–11. doi: 10.1002/jhbp.1220

CrossRef Full Text | Google Scholar

23. Chakedis J, Spolverato G, Beal EW, Woelfel I, Bagante F, Merath K, et al. Pre-operative sarcopenia identifies patients at risk for poor survival after resection of biliary tract cancers. J Gastrointestinal Surg. (2018) 22:1697–708. doi: 10.1007/s11605-018-3802-1

CrossRef Full Text | Google Scholar

24. Coelen RJS, Wiggers JK, Nio CY, Besselink MG, Busch ORC, Gouma DJ, et al. Preoperative computed tomography assessment of skeletal muscle mass is valuable in predicting outcomes following hepatectomy for perihilar cholangiocarcinoma. Hpb. (2015) 17:520–8. doi: 10.1111/hpb.12394

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Deng L, Wang Y, Zhao J, Tong Y, Zhang S, Jin C, et al. The prognostic value of sarcopenia combined with hepatolithiasis in intrahepatic cholangiocarcinoma patients after surgery: A prospective cohort study. Eur J Surg Oncol. (2021) 47:603–12. doi: 10.1016/j.ejso.2020.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hahn F, Müller L, Stöhr F, Mähringer-Kunz A, Schotten S, Düber C, et al. The role of sarcopenia in patients with intrahepatic cholangiocarcinoma: Prognostic marker or hyped parameter? Liver Int. (2019) 39:1307–14. doi: 10.1111/liv.14132

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Hayashi K, Abe Y, Kitago M, Yagi H, Hasegawa Y, Hori S, et al. Prognostic impact of preoperative skeletal muscle change from diagnosis to surgery in patients with perihilar cholangiocarcinoma. Ann Gastroenterological Surg. (2022) 7:523–32. doi: 10.1002/ags3.12644

CrossRef Full Text | Google Scholar

28. Gm H, Jiang C, Jp Du, Kf Y. Sarcopenia predicts an adverse prognosis in patients with combined hepatocellular carcinoma and cholangiocarcinoma after surgery. Cancer Med. (2021) 11:317–31. doi: 10.1002/cam4.4448

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Jördens MS, Heinrichs L, Loosen SH, Wittig L, Keitel V, Schöler D, et al. Sarcopenia predicts cancer mortality in male but not in female patients undergoing surgery for cholangiocellular carcinoma. Cancers. (2021) 13:5359. doi: 10.3390/cancers13215359

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Jung HE, Han DH, Koo B-N, Kim J. Effect of sarcopenia on postoperative ICU admission and length of stay after hepatic resection for Klatskin tumor. Front Oncol. (2023) 13:1136376. doi: 10.3389/fonc.2023.1136376

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Kitano Y, Y-i Y, Saito Y, Nakagawa S, Okabe H, Imai K, et al. Sarcopenia affects systemic and local immune system and impacts postoperative outcome in patients with extrahepatic cholangiocarcinoma. World J Surg. (2019) 43:2271–80. doi: 10.1007/s00268-019-05013-y

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Li H, Dai J, Lan T, Liu H, Wang J, Cai B, et al. Combination of albumin-globulin score and skeletal muscle index predicts long-term outcomes of intrahepatic cholangiocarcinoma patients after curative resection. Clin Nutr. (2021) 40:3891–900. doi: 10.1016/j.clnu.2021.04.038

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Lurje I, Czigany Z, Eischet S, Bednarsch J, Ulmer TF, Isfort P, et al. The prognostic impact of preoperative body composition in perihilar and intrahepatic cholangiocarcinoma. Hepatol Commun. (2022) 6:2400–17. doi: 10.1002/hep4.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Lurje I, Uluk D, Pavicevic S, Phan MD, Eurich D, Fehrenbach U, et al. Body composition is associated with disease aetiology and prognosis in patients undergoing resection of intrahepatic cholangiocarcinoma. Cancer Med. (2023) 12:17569–80. doi: 10.1002/cam4.6374

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Matsumoto M, Onda S, Igarashi Y, Hamura R, Uwagawa T, Furukawa K, et al. Osteosarcopenia is a significant predictor of recurrence and the prognosis after resection for extrahepatic bile duct cancer. Surg Today. (2023). doi: 10.1007/s00595-023-02747-0

CrossRef Full Text | Google Scholar

36. Miki A, Sakuma Y, Watanabe J, Endo K, Sasanuma H, Teratani T, et al. Osteopenia is associated with shorter survival in patients with intrahepatic cholangiocarcinoma. Curr Oncol. (2023) 30:1860–8. doi: 10.3390/curroncol30020144

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Mir O, Coriat R, Dhooge M, Perkins G, Boudou-Rouquette P, Brezault C, et al. Feasibility of gemcitabine and oxaliplatin in patients with advanced biliary tract carcinoma and a performance status of 2. Anti-Cancer Drugs. (2012) 23:739–44. doi: 10.1097/CAD.0b013e3283556b9b

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Okumura S, Kaido T, Hamaguchi Y, Fujimoto Y, Kobayashi A, Iida T, et al. Impact of the preoperative quantity and quality of skeletal muscle on outcomes after resection of extrahepatic biliary Malignancies. Surgery. (2016) 159:821–33. doi: 10.1016/j.surg.2015.08.047

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Okumura S, Kaido T, Hamaguchi Y, Kobayashi A, Shirai H, Fujimoto Y, et al. Impact of skeletal muscle mass, muscle quality, and visceral adiposity on outcomes following resection of intrahepatic cholangiocarcinoma. Ann Surg Oncol. (2016) 24:1037–45. doi: 10.1245/s10434-016-5668-3

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Otsuji H, Yokoyama Y, Ebata T, Igami T, Sugawara G, Mizuno T, et al. Preoperative sarcopenia negatively impacts postoperative outcomes following major hepatectomy with extrahepatic bile duct resection. World J Surg. (2015) 39:1494–500. doi: 10.1007/s00268-015-2988-6

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Tamura S, Ashida R, Sugiura T, Okamura Y, Ito T, Yamamoto Y, et al. The prognostic impact of skeletal muscle status and bone mineral density for resected distal cholangiocarcinoma. Clin Nutr. (2021) 40:3552–8. doi: 10.1016/j.clnu.2020.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Taniai T, Haruki K, Yanagaki M, Igarashi Y, Furukawa K, Onda S, et al. Osteosarcopenia predicts poor prognosis for patients with intrahepatic cholangiocarcinoma after hepatic resection. Surg Today. (2022) 53:82–9. doi: 10.1007/s00595-022-02550-3

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Toshida K, Itoh S, Nakayama Y, Tsutsui Y, Kosai-Fujimoto Y, Tomino T, et al. Preoperative HALP score is a prognostic factor for intrahepatic cholangiocarcinoma patients undergoing curative hepatic resection: association with sarcopenia and immune microenvironment. Int J Clin Oncol. (2023) 28:1082–91. doi: 10.1007/s10147-023-02358-2

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Umetsu S, Wakiya T, Ishido K, Kudo D, Kimura N, Miura T, et al. Effect of sarcopenia on the outcomes after pancreaticoduodenectomy for distal cholangiocarcinoma:E654-E658. ANZ J Surg. (2018) 88:E654–8. doi: 10.1111/ans.14304

CrossRef Full Text | Google Scholar

45. van Vugt Jeroen LA, Gaspersz Marcia P, Vugts J, Buettner S, Levolger S, de Bruin Ron WF, et al. Low skeletal muscle density is associated with early death in patients with perihilar cholangiocarcinoma regardless of subsequent treatment. Digestive Surg. (2019) 36:144–52. doi: 10.1159/000486867

CrossRef Full Text | Google Scholar

46. Watanabe J, Miki A, Sakuma Y, Shimodaira K, Aoki Y, Meguro Y, et al. Preoperative osteopenia is associated with significantly shorter survival in patients with perihilar cholangiocarcinoma. Cancers. (2022) 14:2213. doi: 10.3390/cancers14092213

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Yasuta S, Sugimoto M, Kudo M, Kobayashi S, Takahashi S, Konishi M, et al. Early postoperative decrease of skeletal muscle mass predicts recurrence and poor survival after surgical resection for perihilar cholangiocarcinoma. BMC Cancer. (2022) 22:1358. doi: 10.1186/s12885-022-10453-2

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Yoon SB, Choi MH, Song M, Lee JH, Lee IS, Lee MA, et al. Impact of preoperative body compositions on survival following resection of biliary tract cancer. J Cachexia Sarcopenia Muscle. (2019) 10:794–802. doi: 10.1002/jcsm.12431

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Yu H, Wang M, Wang Y, Yang J, Deng L, Bao W, et al. The prognostic value of sarcopenia combined with preoperative fibrinogen–albumin ratio in patients with intrahepatic cholangiocarcinoma after surgery: A multicenter, prospective study. Cancer Med. (2021) 10:4768–80. doi: 10.1002/cam4.4035

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Yugawa K, Itoh S, Kurihara T, Yoshiya S, Mano Y, Takeishi K, et al. Skeletal muscle mass predicts the prognosis of patients with intrahepatic cholangiocarcinoma. Am J Surg. (2019) 218:952–8. doi: 10.1016/j.amjsurg.2019.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Zhang J-X, Ding Y, Yan H-T, Zhou C-G, Liu J, Liu S, et al. Skeletal-muscle index predicts survival after percutaneous transhepatic biliary drainage for obstructive jaundice due to perihilar cholangiocarcinoma. Surg Endoscopy. (2020) 35:6073–80. doi: 10.1007/s00464-020-08099-x

CrossRef Full Text | Google Scholar

52. Zhao Z, Bo Z, Ye N, Dong Y, Xu Y, Wang B, et al. Impact of sarcopenia on postoperative outcomes after hepatectomy in older patients with intrahepatic cholangiocarcinoma: a multicentre cohort study. Liver Int. (2023) 44:155–68. doi: 10.1111/liv.15757

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Zhou G, Bao H, Zeng Q, Hu W, Zhang Q. Sarcopenia as a prognostic factor in hepatolithiasis-associated intrahepatic cholangiocarcinoma patients following hepatectomy: a retrospective study. Int J Clin Exp Med. (2015) 8:18245–54.

PubMed Abstract | Google Scholar

54. Kim SH, Lee SM, Jeung HC, Lee IJ, Park JS, Song M, et al. The effect of nutrition intervention with oral nutritional supplements on pancreatic and bile duct cancer patients undergoing chemotherapy. Nutrients. (2019) 11:1145. doi: 10.3390/nu11051145

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Hu T, Shen Y, Cao W, Xu Y, Wang Y, Ma X, et al. Two-year changes in body composition and future cardiovascular events: a longitudinal community-based study. Nutr Metab (Lond). (2023) 20:4. doi: 10.1186/s12986-023-00727-2

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Castillo-Martínez L, Castro-Eguiluz D, Copca-Mendoza ET, Pérez-Camargo DA, Reyes-Torres CA, Ávila EA, et al. Nutritional assessment tools for the identification of malnutrition and nutritional risk associated with cancer treatment. Rev Invest Clin. (2018) 70:121–5. doi: 10.24875/ric.18002524

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Papaefthymiou P, Kekou K, Özdemir F. Orofacial manifestations associated with muscular dystrophies: A review. Turk J Orthod. (2022) 35:67–73. doi: 10.5152/TurkJOrthod.2021.21021

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Kim SY, Lee HS, Bang SM, Han DH, Hwang HK, Choi GH, et al. Serum dickkopf-1 in combined with CA 19-9 as a biomarker of intrahepatic cholangiocarcinoma. Cancers (Basel). (2021) 13:1828. doi: 10.3390/cancers13081828

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Lyu S, Li L, Zhao X, Ren Z, Cao D, He Q. Prognostic impact of lymph node parameters in distal cholangiocarcinoma after pancreaticoduodenectomy. World J Surg Oncol. (2020) 18:262. doi: 10.1186/s12957-020-02040-1

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Kodera Y. More than 6 months of postoperative adjuvant chemotherapy results in loss of skeletal muscle: a challenge to the current standard of care. Gastric Cancer. (2015) 18:203–4. doi: 10.1007/s10120-014-0381-z

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Ito T, Kuriyama N, Kozuka Y, Komatsubara H, Ichikawa K, Noguchi D, et al. High tumor budding is a strong predictor of poor prognosis in the resected perihilar cholangiocarcinoma patients regardless of neoadjuvant therapy, showing survival similar to those without resection. BMC Cancer. (2020) 20:209. doi: 10.1186/s12885-020-6695-9

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Carneiro IP, Mazurak VC, Prado CM. Clinical implications of sarcopenic obesity in cancer. Curr Oncol Rep. (2016) 18:62. doi: 10.1007/s11912-016-0546-5

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Su H, Ruan J, Chen T, Lin E, Shi L. CT-assessed sarcopenia is a predictive factor for both long-term and short-term outcomes in gastrointestinal oncology patients: a systematic review and meta-analysis. Cancer Imaging. (2019) 19:82. doi: 10.1186/s40644-019-0270-0

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Pamoukdjian F, Bouillet T, Lévy V, Soussan M, Zelek L, Paillaud E. Prevalence and predictive value of pre-therapeutic sarcopenia in cancer patients: A systematic review. Clin Nutr. (2018) 37:1101–13. doi: 10.1016/j.clnu.2017.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Martin D, Maeder Y, Kobayashi K, Schneider M, Koerfer J, Melloul E, et al. Association between CT-based preoperative sarcopenia and outcomes in patients that underwent liver resections. Cancers (Basel). (2022) 14:261. doi: 10.3390/cancers14010261

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Huang DD, Wang SL, Zhuang CL, Zheng BS, Lu JX, Chen FF, et al. Sarcopenia, as defined by low muscle mass, strength and physical performance, predicts complications after surgery for colorectal cancer. Colorectal Dis. (2015) 17:O256–264. doi: 10.1111/codi.13067

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Wang SL, Zhuang CL, Huang DD, Pang WY, Lou N, Chen FF, et al. Sarcopenia adversely impacts postoperative clinical outcomes following gastrectomy in patients with gastric cancer: A prospective study. Ann Surg Oncol. (2016) 23:556–64. doi: 10.1245/s10434-015-4887-3

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Kim K, Kim SJ, Kim IJ, Kim DU, Kim H, Kim S, et al. Factors associated with diffusely increased splenic F-18 FDG uptake in patients with cholangiocarcinoma. Nucl Med Mol Imaging. (2014) 48:137–43. doi: 10.1007/s13139-013-0246-0

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Pak K, Kim SJ, Kim IJ, Kim DU, Kim K, Kim H, et al. Splenic FDG uptake predicts poor prognosis in patients with unresectable cholangiocarcinoma. Nuklearmedizin. (2014) 53:26–31. doi: 10.3413/Nukmed-0566-13-03

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Srikanthan P, Hevener AL, Karlamangla AS. Sarcopenia exacerbates obesity-associated insulin resistance and dysglycemia: findings from the National Health and Nutrition Examination Survey III. PloS One. (2010) 5:e10805. doi: 10.1371/journal.pone.0010805

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Sookprasert A, Wirasorn K, Chindaprasirt J, Watcharenwong P, Sanlung T, Putraveephong S. Systemic treatment for cholangiocarcinoma. Recent Results Cancer Res. (2023) 219:223–44. doi: 10.1007/978-3-031-35166-2_8

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Tadesse AD, Anto TG, Birhanu MY, Agedew E, Yimer B, Abejie AN. Prevalence of undernutrition and its associated factors among older adults using Mini Nutritional Assessment tool in Womberma district, West Gojjam Zone, Amhara Region, North West Ethiopia, 2020. PloS One. (2023) 18:e0274557. doi: 10.1371/journal.pone.0274557

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Takagi K, Inoue Y, Oba A, Ono Y, Sato T, Ito H, et al. Impact of sarcopenia on S1 adjuvant chemotherapy and prognosis in pancreatic cancer patients. Biosci Trends. (2023) 17:310–7. doi: 10.5582/bst.2023.01209

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Tan BH, Brammer K, Randhawa N, Welch NT, Parsons SL, James EJ, et al. Sarcopenia is associated with toxicity in patients undergoing neo-adjuvant chemotherapy for oesophago-gastric cancer. Eur J Surg Oncol. (2015) 41:333–8. doi: 10.1016/j.ejso.2014.11.040

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Surov A, Wienke A. Prevalence of sarcopenia in patients with solid tumors: A meta-analysis based on 81,814 patients. JPEN J Parenter Enteral Nutr. (2022) 46:1761–8. doi: 10.1002/jpen.2415

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Ba Y, Yue P, Leung JW, Wang H, Lin Y, Bai B, et al. Percutaneous transhepatic biliary drainage may be the preferred preoperative drainage method in hilar cholangiocarcinoma. Endosc Int Open. (2020) 8:E203–e210. doi: 10.1055/a-0990-9114

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Inose H, Yamada T, Hirai T, Yoshii T, Abe Y, Okawa A. The impact of sarcopenia on the results of lumbar spinal surgery. Osteoporos Sarcopenia. (2018) 4:33–6. doi: 10.1016/j.afos.2018.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Kobayashi K, Kaneko J, Yamaguchi T, Kawaguchi Y, Arita J, Akamatsu N, et al. Late-evening carbohydrate and branched-chain amino acid snacks improve the nutritional status of patients undergoing hepatectomy based on bioelectrical impedance analysis of odyomposition. Gastrointest Tumors. (2019) 6:81–91. doi: 10.1159/000501452

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: sarcopenia, cholangiocarcinoma, prognosis, skeletal muscle mass index, meta-analysis

Citation: He J, Huang Y, Huang N and Jiang J (2024) Prevalence and predictive value of sarcopenia in surgically treated cholangiocarcinoma: a comprehensive review and meta-analysis. Front. Oncol. 14:1363843. doi: 10.3389/fonc.2024.1363843

Received: 31 December 2023; Accepted: 27 February 2024;
Published: 19 March 2024.

Edited by:

Luca Toti, Policlinico Tor Vergata, Italy

Reviewed by:

Tiago Correia De Sá, Centro Hospitalar do Tâmega e Sousa, Portugal
Damiano Patrono, Azienda Ospedaliero Universitaria Città della Salute e della Scienza di Torino, Italy

Copyright © 2024 He, Huang, Huang and Jiang. 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: Jie He, 13540246974@163.com

These authors have contributed equally to this work

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.