Literature DB >> 35604501

Prognostic value of myosteatosis in patients with lung cancer: a systematic review and meta-analysis.

Shaofang Feng1,2, Huiwen Mu1,2, Rong Hou3, Yunxin Liu2, Jianjun Zou4, Zheng Zhao5, Yubing Zhu6,7.   

Abstract

The prognostic value of myosteatosis has been widely investigated in lung cancer, yet conclusions remain controversial. The purpose of this meta-analysis was to illuminate this issue. Medline, Embase, Cochrane Library and Web of Science Core Collection online databases were systematically searched from inception to 24 September 2021. Newcastle-Ottawa Scale tool was applied to evaluate the quality of included studies. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) and progression-free survival (PFS) were used to examine prognostic value of myosteatosis. Subgroup analysis and sensitivity analysis were conducted to assess heterogeneity and stability of results. A total of 484 articles were screened from which 9 eligible studies involving 1667 patients were enrolled in this meta-analysis. Lung cancer patients with myosteatosis had significantly worse OS than patients without myosteatosis (HR 1.10, 95% CI 1.05-1.16, P < 0.001), both in six multivariate analysis (HR 1.46, 95% CI 1.16-1.85, P = 0.001) and in three univariate analysis (HR 1.08, 95% CI 1.03-1.14, P = 0.003). Pooled data from five studies using multivariate survival analysis also showed that patients with myosteatosis had a statistically significant unfavorable PFS (HR = 1.27, 95% CI 1.00-1.62, P = 0.049). Sensitivity analysis showed the result for OS was stable. But for PFS, the result was not robust. Myosteatosis might serve as an independent indicator of unfavorable survival outcomes for OS and PFS in lung cancer patients. Further studies are needed to confirm our results.
© 2022. The Author(s) under exclusive licence to Japan Society of Clinical Oncology.

Entities:  

Keywords:  Lung cancer; Meta-analysis; Myosteatosis; Prognosis

Mesh:

Year:  2022        PMID: 35604501     DOI: 10.1007/s10147-022-02181-1

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  43 in total

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Journal:  J Appl Physiol (1985)       Date:  2001-06

2.  Prognosis in advanced lung cancer--A prospective study examining key clinicopathological factors.

Authors:  Claribel P Simmons; Filippos Koinis; Marie T Fallon; Kenneth C Fearon; Jo Bowden; Tora S Solheim; Bjorn Henning Gronberg; Donald C McMillan; Ioannis Gioulbasanis; Barry J Laird
Journal:  Lung Cancer       Date:  2015-03-28       Impact factor: 5.705

Review 3.  The prognostic value of PD-L1 expression for non-small cell lung cancer patients: a meta-analysis.

Authors:  A Wang; H Y Wang; Y Liu; M C Zhao; H J Zhang; Z Y Lu; Y C Fang; X F Chen; G T Liu
Journal:  Eur J Surg Oncol       Date:  2015-01-31       Impact factor: 4.424

4.  Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content.

Authors:  B H Goodpaster; D E Kelley; F L Thaete; J He; R Ross
Journal:  J Appl Physiol (1985)       Date:  2000-07

Review 5.  Lung Cancer Staging and Prognosis.

Authors:  Gavitt A Woodard; Kirk D Jones; David M Jablons
Journal:  Cancer Treat Res       Date:  2016

6.  Approaches to Assessment of Muscle Mass and Myosteatosis on Computed Tomography: A Systematic Review.

Authors:  Behrang Amini; Sean P Boyle; Robert D Boutin; Leon Lenchik
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-09-15       Impact factor: 6.053

7.  Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index.

Authors:  Lisa Martin; Laura Birdsell; Neil Macdonald; Tony Reiman; M Thomas Clandinin; Linda J McCargar; Rachel Murphy; Sunita Ghosh; Michael B Sawyer; Vickie E Baracos
Journal:  J Clin Oncol       Date:  2013-03-25       Impact factor: 44.544

Review 8.  Lung cancer.

Authors:  Alesha A Thai; Benjamin J Solomon; Lecia V Sequist; Justin F Gainor; Rebecca S Heist
Journal:  Lancet       Date:  2021-07-14       Impact factor: 79.321

9.  A comparison of CT based measures of skeletal muscle mass and density from the Th4 and L3 levels in patients with advanced non-small-cell lung cancer.

Authors:  Bjørn H Grønberg; Bjørg Sjøblom; Tore Wentzel-Larsen; Vickie E Baracos; Marianne J Hjermstad; Nina Aass; Roy M Bremnes; Øystein Fløtten; Asta Bye; Marit Jordhøy
Journal:  Eur J Clin Nutr       Date:  2018-09-25       Impact factor: 4.016

Review 10.  Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging.

Authors:  Rosaly Correa-de-Araujo; Odessa Addison; Iva Miljkovic; Bret H Goodpaster; Bryan C Bergman; Richard V Clark; Joanne W Elena; Karyn A Esser; Luigi Ferrucci; Michael O Harris-Love; Steve B Kritchevsky; Amanda Lorbergs; John A Shepherd; Gerald I Shulman; Clifford J Rosen
Journal:  Front Physiol       Date:  2020-08-07       Impact factor: 4.566

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