Objectives Sarcopenia is known as a geriatric syndrome associated with increased disability and decreased survival in elderly patients. In oncological patients, pretreatment low skeletal muscle mass (SMM), sometimes referred to as sarcopenia, is an emerging negative prognostic factor. Commonly, only SMM is assessed in cancer patients. Sarcopenia is defined as the combination of low SMM and low muscle function (MF). We investigated the relation between SMM, MF, sarcopenia (SMM and MF combined), and overall survival (OS) in a group of elderly patients with head-and-neck squamous cell carcinoma (HNSCC). Patients and methods A retrospective study in elderly HNSCC patients treated between 2015 and 2018 was performed. The prognostic value of SMM and MF seperately, and sarcopenia was investigated. Results Eighty-five patients were included of whom 48.2% had sarcopenia. The median OS was significantly worse for patients treated with curative intent with sarcopenia (12.07 months; IQR 3.64–21.82) compared to patients without sarcopenia (13.60 months; IQR 5.98-27.00) (HR 2.80; 95% CI 1.14–6.88; p = 0.03). SMM and MF seperately were not significant predictors of OS. Conclusion Sarcopenia is associated with impaired OS in elderly HNSCC patients. Sarcopenia, defined as the combination of low SMM and low MF, appears to be a better predictor of OS than low SMM or low MF separately.

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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.

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Purpose This study aims to investigate the predictive value of low skeletal muscle mass (SMM) for cetuximab dose-limiting toxicity (DLT) and its prognostic value in head and neck squamous cell carcinoma (HNSCC) patients treated with concomitant cetuximab and radiotherapy. Methods Patients diagnosed with HNSCC and treated with primary or adjuvant concomitant cetuximab and radiotherapy were included. Clinical and demographic variables were retrospectively retrieved and SMM was measured at the level of the third cervical vertebra using pre-treatment diagnostic computed tomography or magnetic resonance imaging. An optimal cutoff value for low SMM was determined based on the lowest log-likelihood associated with cetuximab DLT. A multivariate linear regression model was used to determine predictive factors for cetuximab DLT. The prognostic value of low SMM for disease-free and overall survival was analyzed using Kaplan-Meier curves. Results The optimal cutoff value for low SMM as a predictor of cetuximab DLT was an LSMI ≤ 45.2 cm 2 /m 2. Of the 91 included patients, 74.7% had low SMM and 30.8% experienced cetuximab DLT. At multivariate analysis, low SMM had no predictive value for DLT (OR 0.83; 95% CI 0.27-2.56; p = 0.74). The Kaplan-Meier curve demonstrated that patients with low SMM had significantly lower overall survival (Log Rank χ 2 = 5.87; p = 0.02). Conclusion Low SMM is highly prevalent in HNSCC patients treated with concomitant cetuximab and radiotherapy. Low SMM has no predictive value for cetuximab DLT in HNSCC patients. Low SMM is probably not a prognostic factor for overall survival in highly selected HNSCC patients treated with concomitant cetuximab and radiotherapy and unfit for platin-based chemotherapy.

Background Low skeletal muscle mass (SMM) is an adverse prognostic factor for chemotherapy dose‐limiting toxicity (CDLT). In patients with locally advanced head and neck squamous cell carcinoma (HNSCC) undergoing chemoradiotherapy (CRT), low SMM is a predictor for CDLT. We aimed to validate these findings. Methods Consecutive LA‐HNSCC patients treated with primary CRT with high‐dose cisplatin were retrospectively included. SMM was measured on pre‐treatment CT‐imaging. A cumulative cisplatin dose below 200 mg/m2 was defined as CDLT. Results One hundred and fifty three patients were included; 37 (24.2%) experienced CDLT, and 84 had low SMM (54.9%). Patients with low SMM experienced more CDLT than patients with normal SMM (35.7% vs. 10.1%, p < 0.01). Low SMM (OR 3.99 [95% CI 1.56–10.23], p = 0.01) and an eGFR of 60–70 ml/min (OR 5.40 [95% CI 1.57–18.65], p < 0.01) were predictors for CDLT. Conclusion Pre‐treatment low SMM is associated with CDLT in LA‐HNSCC patients treated with primary CRT. Routine SMM assessment may allow for CDLT risk assessment and treatment optimization.

Objectives: Patients with head and neck cancer (HNC) have a risk of sarcopenia which is associated with adverse health outcomes. Frailty is also associated with adverse outcomes and is diagnosed by a comprehensive geriatric assessment (CGA). Because a CGA is time-consuming and not all patients benefit from it, frailty screening questionnaires are used to select patients for CGA. Sarcopenia measurement may be a biomarker for frailty. Our objective was to examine the association between sarcopenia and a frailty screening questionnaire. Materials and Methods: In this single-center retrospective study, 150 patients (≥ 60-years old) with HNC were reviewed. Sarcopenia was defined as the combination of reduced handgrip strength and loss of skeletal muscle mass, calculated as skeletal muscle index (SMI), according to the EWGSOP-criteria. Frailty screening was performed using the Geriatrics 8 (G8) questionnaire. Results: The 150 patients included 101 men and 49 women. Frail patients were more likely to be sarcopenic at diagnosis. G8 frailty score showed a significant though weak correlation with SMI. Univariate regression analysis with frailty as a dependent variable distinguished comorbidity score, handgrip strength, SMI, and sarcopenia as significant. These variables were subjected to a multivariate analysis in which comorbidity score and SMI remained significant. Conclusion:There is an association between sarcopenia and the G8 frailty screening questionnaire. Therefore, sarcopenia measurement could be interchangeable with the G8 frailty screening questionnaire. Further research should compare the gold standard for frailty, i.e. CGA, with sarcopenia.