The predictive and prognostic value of low skeletal muscle mass for dose-limiting toxicity and survival in head and neck cancer patients receiving concomitant cetuximab and radiotherapy

The impact of sarcopenia in the treatment for patients with head and neck cancer

Sarcopenia is a disease in which a decline in muscle mass with age is associated with a decline in physical performance. In the field of otorhinolaryngology, head and neck surgery, sarcopenia is gaining attention as a cause of swallowing disorders and as a problem in the treatment of head and neck cancer. Head and neck cancer occurs in anatomical sites related to swallowing, so patients with head and neck cancer are prone to swallowing disorders and "nutrition-related sarcopenia." Since it is a cancer, it also becomes a "disease-related sarcopenia," making it easy for patients to develop secondary sarcopenia. Medical intervention against sarcopenia is important in order to decrease the number of adverse events related to treatments for cases with sarcopenia, with reports stating that proactive exercise and nutritional therapy prior to treatment for cases with sarcopenia contributes to a decrease in serious complications as well as improving the survival rate. It is the same for head and neck cancer patients with sarcopenia, so intervention prior to treatment of head and neck cancer is an area that is expected to see reports in the future. However, if the disease is malignant, it is highly likely that sarcopenia cannot be sufficiently improved due to the short period of time from diagnosis to the beginning of treatment. In this case, choosing a treatment that takes sarcopenia into consideration is another way to handle it. Assessing sarcopenia prior to treatment may help avoid post-treatment pneumonia related to sarcopenia, postoperative complications including fistula, radiation-induced toxicity including swallowing disorders, and chemotherapy-related toxicity, and it is believed to greatly contribute to the prognosis of the overall survival (OS), disease-free survival (DFS), and disease-specific survival (DSS).

Thoracic skeletal muscle index is effective for CT-defined sarcopenia evaluation in patients with head and neck cancer

PURPOSE

Computed tomography (CT)-defined sarcopenia, as a measurement of low skeletal muscle (SM), is a poor prognostic indicator in patients with head and neck cancer (HNC), independent of weight or nutritional status. We used SM measures at the second thoracic vertebra (T2) to determine T2-SM index (SMI) thresholds for sarcopenia, and investigate the impact of low T2-SMI on overall survival (OS), and weight loss during radiotherapy (RT).

METHODS

Adult patients with newly diagnosed HNC with a diagnostic PET-CT or RT planning CT scan were included. SM was analysed at T2 and a model applied to predict SM at L3. T2-SMI thresholds for sarcopenia were established with predicted measures, stratified by BMI and sex. Impact of sarcopenia and low T2-SMI on OS and weight loss during RT was investigated.

RESULTS

A total of 361 scans were analysed (84% males, 54% oropharynx tumours). Sarcopenia was found in 49%, demonstrating worse OS (p = 0.037). T2-SMI cutoff values were: females-74 cm2/m2 [area under the curve (AUC): 0.89 (95%CI 0.80-0.98)], males (BMI < 25)-63 cm2/m2 [AUC 0.93 (95%CI 0.89-0.96)], males (BMI ≥ 25)-88cm2/m2 [AUC 0.86 (95%CI 0.78-0.93)]. No difference in OS with T2-SMI categories. Lowest T2-SMI quartile of < 63 cm2/m2 demonstrated worse OS (p = 0.017). Weight loss during RT was higher in patients; who were not sarcopenic (6.2% vs 4.9%, p = 0.023); with higher T2-SMI (6.3% vs 4.9%, p = 0.014) and; in the highest quartiles (3.6% vs 5.7% vs 7.2%, p < 0.001).

CONCLUSIONS

These T2-SMI thresholds are effective in assessing CT-defined sarcopenia in HNC. Further assessment of clinical application is warranted.

Role of sarcopenia on survival and treatment-related toxicity in head and neck cancer: a narrative review of current evidence and future perspectives

PURPOSE

The purpose of this article is to provide an up-to-date summary of sarcopenia and its clinical implications for patients with head and neck cancer (HNC).

METHODS

We conducted a literature review of recent studies investigating the prevalence of sarcopenia in HNC patients, its detection using MRI or CT scans, and its association with clinical outcomes such as disease-free and overall survival time, radiotherapy-related side effects, cisplatin toxicity, and surgical complications.

RESULTS

Sarcopenia, characterized by low skeletal muscle mass (SMM), is a prevalent condition in HNC patients and can be effectively detected using routine MRI or CT scans. Low SMM in HNC patients is associated with increased risks of shorter disease-free and overall survival times, as well as radiotherapy-related side effects such as mucositis, dysphagia, and xerostomia. In addition, cisplatin toxicity is more severe in HNC patients with low SMM, leading to higher dose-limiting toxicity and treatment interruptions. Low SMM may also predict higher risks of surgical complications in head and neck surgery. Identifying sarcopenic patients can aid physicians in better riskstratifying HNC patients for therapeutic or nutritional interventions to improve clinical outcomes.

CONCLUSIONS

Sarcopenia is a significant concern for HNC patients and can impact their clinical outcomes. Routine MRI or CT scans can effectively detect low SMM in HNC patients. Identifying sarcopenic patients can aid physicians in better risk-stratifying HNC patients for therapeutic or nutritional interventions to improve clinical outcomes. Further research is needed to explore the potential of interventions to mitigate the negative effects of sarcopenia in HNC patients.

Influence of fat-free mass index on the survival of patients with head and neck cancer

PURPOSE

To determine whether muscle mass, defined by fat-free mass index (FFMI) measured with bioelectrical impedance analysis (BIA), is predictive of survival of head and neck squamous cell carcinoma (HNSCC) patients.

METHODS

HNSCC patients treated between 2014 and 2018 at the Department for Nutrition of the Institute of Oncology Ljubljana were reviewed. The FFMI values from the pretreatment BIA measurements and pretreatment body mass index (BMI) were used to categorize patients into groups with low and normal muscle mass and BMI using the Global Leadership Initiative on malnutrition (GLIM) recommended cutoff values. The impact of FFMI on disease-free survival (DFS) and overall survival (OS) was determined.

RESULTS

Of the 71 included patients, 31 (43.7%) had normal FFMI, and 40 (56.3%) had low FFMI, whereas 44 (62%) and 27 (38%) of the patients had normal and low BMI, respectively. Between FFMI and BMI values, a significant correlation was found (R_P = 0.75, p < 0.001). Univariate regression analysis showed that FFMI (as a continuous variable) was of prognostic significance for OS (p = 0.039), which was confirmed by multivariate regression analysis (p = 0.029). The model where BMI replaced FFMI negated the prognostic value of BMI (as a continuous variable). Neither FFMI nor BMI was found to be a predictor of DFS on univariate or multivariate analysis.

CONCLUSIONS

In the present group of HNSCC patients, low FFMI adversely influenced OS, emphasizing the importance of using body composition measurement over BMI alone for pretreatment nutritional evaluation of these patients.

A prediction model for skeletal muscle evaluation and computed tomography-defined sarcopenia diagnosis in a predominantly overweight cohort of patients with head and neck cancer

PURPOSE

This study investigates the feasibility of computed tomography (CT)-defined sarcopenia assessment using a prediction model for estimating the cross-sectional area (CSA) of skeletal muscle (SM) in CT scans at the third lumbar vertebra (L3), using measures at the third cervical level (C3) in a predominantly overweight population with head and neck cancer (HNC).

METHODS

Analysis was conducted on adult patients with newly diagnosed HNC who had a diagnostic positron emission tomography-CT scan. CSA of SM in CT images was measured at L3 and C3 in each patient, and a predictive formula developed using fivefold cross-validation and linear regression modelling. Correlation and agreement between measured CSA at L3 and predicted values were evaluated using intraclass correlation coefficients (ICC) and Bland-Altman plot. The model's ability to identify sarcopenia was investigated using Cohen's Kappa (k).

RESULTS

A total of 109 patient scans were analysed, with 64% of the cohort being overweight or obese. The prediction model demonstrated high level of correlation between measured and predicted CSA measures (ICC 0.954, r = 0.916, p < 0.001), and skeletal muscle index (SMI) (ICC 0.939, r = 0.883, p < 0.001). Bland-Altman plot showed good agreement in SMI, with mean difference (bias) = 0.22% (SD 8.65, 95% CI - 3.35 to 3.79%), limits of agreement (- 16.74 to 17.17%). The model had a sensitivity of 80.0% and specificity of 85.0%, with moderate agreement on sarcopenia diagnosis (k = 0.565, p = 0.004).

CONCLUSION

This model is effective in predicting lumbar SM CSA using measures at C3, and in identifying low SM in a predominately overweight group of patients with HNC.

Sex-Specific Cut-Off Values for Low Skeletal Muscle Mass to Identify Patients at Risk for Treatment-Related Adverse Events in Head and Neck Cancer

A low skeletal muscle index (SMI), defined with cut-off values, is a promising predictor for adverse events (AEs) in head and neck squamous cell cancer (HNSCC) patients. The aim was to generate sex-specific SMI cut-off values based on AE to diagnose low SMI and to analyse the relationship between low SMI and AEs in HNSCC patients. In this present study, HNSCC patients were prospectively included in a large oncological data-biobank and SMI was retrospectively measured using baseline neck scans. In total, 193 patients were included and were stratified according to treatment modality: (chemo-)radiotherapy ((C)RT) (n = 135) and surgery (n = 61). AE endpoints were based on the occurrence of clinically relevant toxicities (Common Terminology Criteria for Adverse Events grade ≥ III) and postoperative complications (Clavien–Dindo Classification grade ≥ II). Sex-specific SMI cut-off values were generated with receiver operating characteristic curves, based on the AE endpoints. The relationship of the baseline characteristics and AEs was analysed with logistic regression analysis, with AEs as the endpoint. Multivariable logistic analysis showed that low SMI (OR 3.33, 95%CI 1.41–7.85) and tumour stage (OR 3.45, 95%CI 1.28–9.29) were significantly and independently associated to (C)RT toxicity. Low SMI was not related to postoperative complications. To conclude, sex-specific SMI cut-off values, were generated based on the occurrence of AEs. Low SMI and tumour stage were independently related to (C)RT toxicity in HNSCC patients.

Cut-off values for low skeletal muscle mass at the level of the third cervical vertebra (C3) in patients with head and neck cancer

BACKGROUND

Low skeletal muscle mass is associated with adverse outcomes in patients with cancer. For patients with head and neck cancer (HNC), skeletal muscle mass is often assessed at the third cervical vertebra on head and neck imaging. Due to the unavailability of standardized cut-off values for low skeletal muscle mass in patients with head and cancer, there is heterogeneousness of cut-off values for low skeletal muscle mass described in literature. Therefore, we aim to provide standardized cut-off values for low skeletal muscle mass in HNC patients.

METHODS

A retrospective cohort study was performed. Between 2008 and 2018, HNC patients with head and neck imaging were included. Skeletal muscle area (SMA) was manually delineated at the level of the third cervical vertebra and corrected for patients squared height to obtain the cervical skeletal muscle mass index. Gender and body-mass index specific cut-off values for low skeletal muscle mass were calculated based on mean cervical skeletal muscle mass index minus 2 standard deviations as suggested in literature.

RESULTS

Of the 1,415 included patients, the majority was male (69.8%) and had a body mass index below 25 kg/m2 (59.2%). A primary tumor localization in the oropharynx (35.3%) and a tumor, node, metastasis stage IV tumor (60.5%) were most frequently observed. Cervical skeletal muscle mass index was significantly correlated with gender (r2=0.4, P<0.01) and body mass index (r2=0.4, P<0.01). For male patients with a body mass index <25 and ≥25 kg/m2, a cervical skeletal muscle mass index of respectively ≤6.8 and ≤8.5 cm2/m2 was defined for low skeletal muscle mass. For female patients with a body mass index <25 and ≥25 kg/m2, a cervical skeletal muscle mass index of respectively ≤5.3 and ≤6.4 cm2/m2 was defined for low skeletal muscle mass.

CONCLUSIONS

This study is the first to provide standardized cut-off values for low skeletal muscle mass at the level of the third cervical vertebra in patients with HNC. This information may aid in the uniformity of low skeletal muscle mass definition in research.

Sarcopenia at the infrahyoid level as a prognostic factor in patients with advanced-stage non-virus-related head and neck carcinoma

PURPOSE

The purpose of this study was to assess whether the infrahyoid skeletal muscle index (IHSMI) can be used instead of the L3 skeletal muscle index (L3SMI) to define sarcopenia and predict prognosis in patients with locally advanced head and neck squamous cell carcinoma (LHNSCC).

METHODS

Patients treated for LHNSCC between January 2009 and April 2018 were assessed. The muscular area at the L3 transverse process and infrahyoid was contoured on absorption-corrected computed tomography prior to treatment. Sarcopenia based on L3SMI (S-L) was defined as values of < 52.4 cm²/m² for men and < 38.5 cm²/m² for women. Sarcopenia based on IHSMI (S-I) was determined via receiver operating curve analysis. Overall survival (OS) and cause-specific survival (CSS) curves were constructed using the Kaplan-Meier method.

RESULTS

In total, 101 patients were analyzed. The median follow-up period was 19 months (range 3-101 month). S-L and S-I were identified in 74 (73.3%) and 56 patients (55.4%), respectively. The 5-year OS rate did not differ between patients with and without S-L (64.9% vs. 79.2%, p = 0.635), whereas the rate was lower in patients with S-I than without S-I (57.1% vs. 93.0%, p = 0.006). Similarly, the 5-year CSS rate did not differ between patients with and without S-L (77.0% vs. 82.3%, p = 0.523), but the rate was lower in patients with S-I (61.2% vs. 93.0%, p = 0.02).

CONCLUSION

Pretreatment S-I, but not S-L, was a good predictor of OS and CSS in patients with LHNSCC.

Low skeletal muscle mass assessed directly from the 3rd cervical vertebra can predict pharyngocutaneous fistula risk after total laryngectomy in the male population

Purpose

Skeletal muscle mass (SMM) loss and sarcopenia have been identified as risk factors for postoperative complications. The aim of this study was to investigate the relationship between pharyngocutaneous fistula (PCF) formation after total laryngectomy (TL) and SMM assessed from a computed tomography image of the 3rd cervical vertebra (C3).

Methods

Retrospective study of 86 male patients who underwent TL between 2013 and 2019 in a single institution. We excluded women from the analysis due to our limited sample. SMM was determined from cross-sectional muscle area (CSMA) measurement at C3 using the ImageJ software. Results were compared with those for the skeletal muscle mass index (SMMI) calculated from the estimated measure at 3rd lumbar vertebra (L3).

Results

PCF formation occurred in 21/86 patients. According to the CSMA at a C3 cut-off of 35.5cm2, of 18 patients (20.9%) with low SMM, 9 developed PCFs (50.0%). Among patients with normal SMM (n = 68, 79.1%), 12 developed PCFs (17.6%). The CSMA at C3 was the only variable significantly associated with PCF risk, which was 4.7 times greater in patients with low SMM (p = 0.007). Sarcopenia was more frequent in underweight patients (p = 0.0001), patients undergoing extended surgeries (p = 0.003), or presenting preoperative anaemia (p = 0.009) or hypoalbuminemia (p = 0.027).

Conclusion

Measuring the CSMA at C3 obtained results equivalent to those obtained by calculating the SMMI at L3, suggesting that direct SMM assessment from C3 is a useful approach to evaluating PCF formation risk after TL.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00405-021-07127-3.

Low skeletal muscle mass is a predictor of treatment related toxicity in oncologic patients. A meta-analysis

BACKGROUND & AIMS

The purpose of this meta-analysis was to summarize the published data regarding associations between occurrence of severe treatment related toxicity and low skeletal muscle mass (LSMM) in oncologic patients and to perform a meta-analysis based on a large sample.

METHODS

MEDLINE, Cochrane, and SCOPUS databases were screened for associations between LSMM and treatment related toxicity in oncologic patients up to June 2021. Overall, 48 studies met the inclusion criteria. The following data were extracted: authors, year of publication, study design, number of patients, influence of LSMM on treatment toxicity (odds ratios and confidence intervals). The methodological quality of the involved studies was checked according to the QUADAS instrument. The meta-analysis was undertaken by using RevMan 5.4 software. DerSimonian and Laird random-effects models with inverse-variance weights were used to account for the heterogeneity between the studies.

RESULTS

The included 48 studies comprised 4803 patients with different malignant diseases. LSMM occurred in 1966 patients (40.9%). LSMM was associated with therapy toxicity (simple logistic regression) with an odds ratio OR = 2.19, CI95%= (1.78-2.68). LSMM was associated with DLT in patients underwent curative treatment (16 studies, 2381 patients) with OR = 2.48, CI95%= (1.77-3.48). LSMM predicted DLT in patients underwent palliative chemotherapy (30 studies, 2337 patients)with OR = 2.06, CI95%= (1.56-2.74). In the subgroups received different palliative therapies, relationships between LSMM and DLT were as follows: conventional chemotherapies (7 studies, 600 patients) OR = 2.14, CI95%= (1.38-3.31); different kinases inhibitors (13 studies, 906 patients) OR = 3.08, CI95%= (1.87-5.09); checkpoint inhibitors (7 studies, 557 patients) OR = 1.30, CI95%= (0.79-2.11).

CONCLUSIONS

LSMM is an essential factor of treatment toxicity in oncologic patients. Association between LSMM and DLT is strongest in patients received therapy with kinases inhibitors. The influence of LSMM on DLT is lowest in patients underwent treatment with checkpoint inhibitors. The presence of LSMM should be included into radiological reports and provided to oncologists to optimize chemotherapy. LSMM should be included into dose calculation for chemotherapy.

Low skeletal muscle mass predicts relevant clinical outcomes in head and neck squamous cell carcinoma. A meta analysis

Background:

The purpose of this meta-analysis was to analyze the influence of sarcopenia, defined as low skeletal muscle mass, on clinical outcomes in patients with head and neck squamous cell carcinoma (HNSCC) based on a large sample.

Methods:

The MEDLINE, EMBASE, and SCOPUS databases were screened for associations between sarcopenia and clinical outcomes in HNSCC up to December 2020. Overall, 27 studies met the inclusion criteria. The methodological quality of the studies involved was checked according to the QUADAS instrument. The meta-analysis was undertaken using RevMan 5.3 software. DerSimonian and Laird random-effects models with inverse-variance weights were used to account for heterogeneity between the studies.

Results:

The 27 included studies comprised 7704 patients with different HNSCCs. The cumulative calculated frequency among the studies was 42.0% [95% confidence interval (CI) 35.34–48.65]. Sarcopenia was associated with occurrence of severe postoperative complications, odds ratio (OR) 4.79, 95% CI (2.52–9.11), p < 0.00001. Sarcopenia predicted disease-free survival (DFS), simple regression: hazard ratio (HR) 2.00, 95% CI (1.63–2.45), p < 0.00001, multiple regression: HR 1.64, 95% CI (1.33–2.03), p < 0.00001. Also, sarcopenia was associated with lower overall survival (OS), simple regression: HR 1.96, 95% CI (1.71–2.24), p < 0.00001, multiple regression: HR = 1.87, 95% CI (1.53–2.29), p < 0.00001. In patients who underwent definitive chemotherapy and/or radiation, sarcopenia predicted lower OS (simple regression), HR 1.95, 95% CI (1.61–2.36), p < 0.00001, multiple regression: HR = 1.51, 95% CI (1.17–1.94), p < 0.002). In patients with primary surgical strategy with or without adjuvant radio-chemotherapy, sarcopenia was associated with lower OS (simple regression), HR 2.21, 95% CI (1.72–2.84), p < 0.00001, multiple regression: HR = 2.05, 95% CI (1.55–2.72), p < 0.00001).

Conclusion:

The cumulative prevalence of sarcopenia in HNSCC is 42.0%. Sarcopenia is an independent risk factor for OS and DFS in patients with HNSCC who undergo curative therapy. Sarcopenia is associated with the occurrence of severe postoperative complications.

The use of alternate vertebral levels to L3 in computed tomography scans for skeletal muscle mass evaluation and sarcopenia assessment in patients with cancer: a systematic review

Body composition measurement using diagnostic computed tomography (CT) scans has emerged as a method to assess sarcopenia (low muscle mass) in oncology patients. Assessment of skeletal muscle mass (SMM) using the cross-sectional area of a single vertebral slice (at lumbar L3) in a CT scan is correlated with whole-body skeletal muscle volume. This method is used to assess CT-defined sarcopenia in patients with cancer, with low SMM effecting outcomes. However, as diagnostic scans are based on tumour location, not all include L3. We evaluated the evidence for the use of alternate vertebral CT slices for SMM evaluation when L3 is not available. Five electronic databases were searched from January 1996 to April 2020 for studies using CT scan vertebral slices above L3 for SM measurement in adults with cancer (solid tumours). Validation with whole-body SMM, rationale for the chosen slice and sarcopenia cut-off values were investigated. Thirty-two studies were included, all retrospective and cross-sectional in design. Cervical, thoracic and lumbar slices were used (from C3 to L1), with no validation of whole-body SMM using CT scans. Alternate slices were used in lung, and head and neck cancer patients. Sarcopenia cut-off values were reported in 75 % of studies, with differing methods, with or without sex-specific values, and a lack of consensus. Current evidence is inadequate to provide definitive recommendations for alternate vertebral slice use for SMM evaluation in cancer patients. Variation in sarcopenia cut-offs warrants more robust investigation, in order for risk stratification to be applied to all patients with cancer.

Prospective Evaluation of Sarcopenia in Head and Neck Cancer Patients Treated with Radiotherapy or Radiochemotherapy

Simple Summary

Radiation therapy (RT) is a key treatment for head and neck squamous cell carcinoma (HNSCC) patients. RT generates acute toxicity and weight loss, especially when combined with chemotherapy. Frail patients (malnourished or with poor performance status) have poor outcomes and increased toxicity when treated by RT. Among non-frail patients, predicting RT outcome is a challenge. Loss of muscle mass, also known as sarcopenia, is associated with poor outcome in HNSCC patients treated by RT and chemotherapy, but the level of evidence remains weak. Conflicting results exist regarding the impact of sarcopenia on acute RT toxicity. This prospective study confirmed that in non-frail HNSCC patients baseline sarcopenia is frequent (37%) and is associated with decreased overall and disease-free survival, but not with acute toxicity. Interestingly, a worse impact of sarcopenia occurred despite optimal nutritional support and even when patients were treated by RT without chemotherapy. Sarcopenia should be regarded as an independent prognostic factor in that setting.

Abstract

Highlights: Sarcopenia is frequent in patients treated with radiation therapy (RT) or radiochemotherapy (RTCT) for head and neck squamous cell carcinomas. Sarcopenia is associated with poor disease-free survival and overall survival outcomes. Sarcopenia is not associated with a higher rate of treatment-related toxicity. Background: Sarcopenia occurs frequently with the diagnosis of head and neck squamous cell carcinoma (HNSCC). We aimed to assess the impact of sarcopenia on survival among HNSCC patients treated with radiotherapy (RT) or radiochemotherapy (RTCT). Methods: Patients treated between 2014 and 2018 by RT or RTCT with curative intent were prospectively included (NCT02900963). Optimal nutritional support follow-up, including weekly consultation with a dietician and an oncologist and daily weight monitoring, was performed. Sarcopenia was determined by measuring the skeletal muscles at the L3 vertebra on the planning CT scan for radiotherapy. For each treatment group (RT or RTCT), we assessed the prognostic value of sarcopenia for disease-free survival (DFS) and overall survival (OS) and its impact on treatment-related toxicity. Results: Two hundred forty-three HNSCC patients were included: 116 were treated by RT and 127 were treated by RTCT. Before radiotherapy, eight (3.3%) patients were considered malnourished according to albumin, whereas 88 (36.7%) patients were sarcopenic. Overall, sarcopenia was associated with OS and DFS in a multivariate analysis (HR 1.9 [1.1–3.25] and 1.7 [1.06–2.71], respectively). It was similar for patients treated with RT (HR 2.49 [1.26–4.9] for DFS and 2.24 [1.03–4.86] for OS), whereas for patients treated with RTCT sarcopenia was significantly associated with OS and DFS in univariate analysis only. Sarcopenia was not related to higher treatment-related toxicity. Conclusions: Pretherapeutic sarcopenia remains frequent and predicts OS and DFS for non-frail patients treated with curative intent and adequate nutritional support.

The Predictive Value of Low Skeletal Muscle Mass Assessed on Cross-Sectional Imaging for Anti-Cancer Drug Toxicity: A Systematic Review and Meta-Analysis

Low skeletal muscle mass (LSMM) is increasingly recognized for its predictive value for adverse events in cancer patients. In specific, the predictive value of LSMM has been demonstrated for anti-cancer drug toxicity in a variety of cancer types and anti-cancer drugs. However, due to the limited sample size and study populations focused on a single cancer type, an overall predictive value of LSMM for anti-cancer drug toxicity remains unknown. Therefore, this review aims to provide a comprehensive overview of the predictive value of LSMM and perform a meta-analysis to analyse the overall effect. A systematic search was conducted of MEDLINE, Scopus, EMBASE, and Cochrane. Inclusion criteria were skeletal muscle mass (SMM) evaluated with computed tomography (CT) or magnetic resonance imaging (MRI), articles published in English, SMM studied in humans, SMM measurement normalized for height, and patients did not receive an intervention to treat or prevent LSMM. A meta-analysis was performed using a random-effects model and expressed in odds ratio (OR) with 95% confidence interval (CI). Heterogeneity was assessed using χ2 and I2 statistics. The search yielded 907 studies. 31 studies were included in the systematic review. Sample sizes ranged from 21 to 414 patients. The occurrence of LSMM ranged from 12.2% to 89.0%. The most frequently studied cancer types were oesophageal, renal, colorectal, breast, and head and neck cancer. Patients with LSMM had a higher risk of severe toxicity (OR 4.08; 95% CI 2.48-6.70; p < 0.001) and dose-limiting toxicity (OR 2.24; 95% CI 1.28-3.92; p < 0.001) compared to patients without LSMM. To conclude, the predictive value of LSMM for anti-cancer drug toxicity can be observed across cancer types. This information increases the need for further research into interventions that could treat LSMM as well as the possibility to adapt treatment regimens based on the presence of LSMM.