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World Journal of Surgical Oncology
Published in: World Journal of Surgical Oncology 1/2018

Open Access 01-12-2018 | Research

Loss of skeletal muscle mass during neoadjuvant treatments correlates with worse prognosis in esophageal cancer: a retrospective cohort study

Authors: Tommi Järvinen, Ilkka Ilonen, Juha Kauppi, Jarmo Salo, Jari Räsänen

Published in: World Journal of Surgical Oncology | Issue 1/2018

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Abstract

Background

Nutritional deficits, cachexia, and sarcopenia are extremely common in esophageal cancer. The aim of this article was to assess the effect of loss of skeletal muscle mass during neoadjuvant treatment on the prognosis of esophageal cancer patients.

Methods

Esophageal cancer patients (N = 115) undergoing neoadjuvant therapy and surgery between 2010 and 2014 were identified from our surgery database and retrospectively analyzed. Computed tomography imaging of the total cross-sectional muscle tissue measured at the third lumbar level defined the skeletal muscle index, which defined sarcopenia (SMI < 52.4 cm2/m2 for men and < 38.5 cm2/m2 for women). Images were collected before and after neoadjuvant treatments.

Results

Sarcopenia in preoperative imaging was prevalent in 92 patients (80%). Median overall survival was 900 days (interquartile range 334–1447) with no difference between sarcopenic (median = 900) and non-sarcopenic (median = 914) groups (p = 0.872). Complication rates did not differ (26.1% vs 32.6%, p = 0.725). A 2.98% decrease in skeletal muscle index during neoadjuvant treatment correlated with poor 2-year survival (log-rank p = 0.04).

Conclusion

Loss of skeletal muscle tissue during neoadjuvant treatment correlates with worse overall survival.
Appendix
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Metadata
Title
Loss of skeletal muscle mass during neoadjuvant treatments correlates with worse prognosis in esophageal cancer: a retrospective cohort study
Authors
Tommi Järvinen
Ilkka Ilonen
Juha Kauppi
Jarmo Salo
Jari Räsänen
Publication date
01-12-2018
Publisher
BioMed Central
Published in
World Journal of Surgical Oncology / Issue 1/2018
Electronic ISSN: 1477-7819
DOI
https://doi.org/10.1186/s12957-018-1327-4

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