Literature DB >> 28688687

Low skeletal muscle mass is a predictive factor for chemotherapy dose-limiting toxicity in patients with locally advanced head and neck cancer.

Anne W Wendrich1, Justin E Swartz2, Sandra I Bril3, Inge Wegner4, Alexander de Graeff5, Ernst J Smid6, Remco de Bree7, Ajit J Pothen8.   

Abstract

OBJECTIVES: Low skeletal muscle mass (SMM) or sarcopenia is emerging as an adverse prognostic factor for chemotherapy dose-limiting toxicity (CLDT) and survival in cancer patients. Our aim was to determine the impact of low SMM on CDLT in patients with locally advanced head and neck squamous cell carcinoma (LA-HNSCC) treated with primary radiochemotherapy (RCT). PATIENTS AND METHODS: Consecutive patients diagnosed with LA-HNSCC and treated with primary RCT between 2007 and 2011 in our center were included. Clinical variables were retrospectively retrieved and SMM was measured at the level of the third cervical vertebra using pre-treatment head and neck CT-scans. After determining a cut-off value for low SMM, multivariate analysis was performed to identify prognostic factors for CDLT.
RESULTS: Of 112 patients included, 30.4% experienced CDLT. The optimal cut-off value for low SMM as a predictor of CDLT was ≤43.2cm2/m2. Using this cut-off, 54.5% patients had low SMM. Patients with low SMM experienced CDLT more frequently than patients with normal SMM (44.3% vs. 13.7%, p<0.001) and received a higher dose of chemotherapy/kg lean body mass (estimated from SMM, p=0.044). At multivariate analysis, low SMM was independently inversely associated with CDLT (OR 0.93, 95%CI: 0.88-0.98). Patients experiencing CDLT had a lower overall survival than patients who did not (mean 36.6vs. 54.2months, p=0.038).
CONCLUSION: Low SMM is an independent risk factor for CDLT in LA-HNSCC patients treated with primary RCT. Pre-therapeutic estimation of SMM using routine CT-scans of the head and neck region may identify patients at risk of CDLT.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemotherapy dose-limiting toxicity; Computer-assisted image analysis; Head and neck neoplasms; Lean body mass; Radiochemotherapy; Sarcopenia; Skeletal muscle mass

Mesh:

Substances:

Year:  2017        PMID: 28688687     DOI: 10.1016/j.oraloncology.2017.05.012

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  51 in total

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Journal:  Eur Arch Otorhinolaryngol       Date:  2020-12-19       Impact factor: 2.503

3.  Association Between Sarcopenia and Mortality in Patients Undergoing Surgical Excision of Head and Neck Cancer.

Authors:  Lucas Stone; Brennan Olson; Alia Mowery; Stephanie Krasnow; Angie Jiang; Ryan Li; Joshua Schindler; Mark K Wax; Peter Andersen; Daniel Marks; Virginie Achim; Daniel Clayburgh
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4.  Effect of Changes in Skeletal Muscle Mass on Oncological Outcomes During First-Line Sunitinib Therapy for Metastatic Renal Cell Carcinoma.

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5.  Masseter muscle parameters can function as an alternative for skeletal muscle mass assessments on cross-sectional imaging at lumbar or cervical vertebral levels.

Authors:  Hugo C van Heusden; Najiba Chargi; Jan Willem Dankbaar; Ernst J Smid; Remco de Bree
Journal:  Quant Imaging Med Surg       Date:  2022-01

6.  Sarcopenia predicts a poor treatment outcome in patients with head and neck squamous cell carcinoma receiving concurrent chemoradiotherapy.

Authors:  Ryusuke Shodo; Keisuke Yamazaki; Yushi Ueki; Takeshi Takahashi; Arata Horii
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-08-08       Impact factor: 2.503

7.  The impact of sarcopenia on morbidity and long-term survival among patients with peritoneal metastases of colorectal origin treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: a 10-year longitudinal analysis of a single-center experience.

Authors:  C Agalar; S Sokmen; C Arslan; C Altay; I Basara; A E Canda; F Obuz
Journal:  Tech Coloproctol       Date:  2020-02-21       Impact factor: 3.781

8.  A Model Combining Skeletal Muscle Mass and a Hematological Biomarker to Predict Survival in Patients With Nasopharyngeal Carcinoma Undergoing Concurrent Chemoradiotherapy.

Authors:  Han-Ying Huang; Fei Lin; Xiao-Yu Chen; Wen Wen; Shuang-Yan Xie; Zhi-Qing Long; Ling Guo; Huan-Xin Lin
Journal:  Front Oncol       Date:  2021-05-18       Impact factor: 6.244

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

Authors:  Alexey Surov; Andreas Wienke
Journal:  Ther Adv Med Oncol       Date:  2021-05-13       Impact factor: 8.168

10.  Skeletal muscle mass at C3 may not be a strong predictor for skeletal muscle mass at L3 in sarcopenic patients with head and neck cancer.

Authors:  Joon-Kee Yoon; Jeon Yeob Jang; Young-Sil An; Su Jin Lee
Journal:  PLoS One       Date:  2021-07-19       Impact factor: 3.240

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