Prognostic value of myosteatosis and systemic inflammation in patients with resectable gastric cancer: A retrospective study.
Eur J Clin Nutr
; 77(1): 116-126, 2023 01.
Article
in En
| MEDLINE
| ID: mdl-36076067
BACKGROUND/OBJECTIVES: The association between systemic inflammation and myosteatosis upon diagnosis of gastric cancer (GC) and whether these factors could predict survival outcomes is not clear. Our aim was to explore the association between systemic inflammation and myosteatosis upon diagnosis of GC, specially whether the co-occurrence of these factors could predict survival outcomes. SUBJECTS/METHODS: Computed tomography (CT) was performed at the level of the third lumbar vertebra for body composition analysis in 280 patients with GC. Myoesteatosis was defined as the lowest tertile of the muscle radiodensity distribution or based on clinical significance using optimal stratification analysis. Inflammatory indexes were measured, including the neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte and lymphocyte-to-monocyte ratios. RESULTS: Patients with low skeletal muscle (SM) radiodensity were more likely to be older than 65 years, have a higher body mass index and have diabetes. They also had higher intermuscular visceral and subcutaneous adipose tissue areas and indexes. The highest tertile of SM radiodensity was associated with better disease-free survival (DFS) (HR = 0.51, 95% CI [0.31, 0.84], ptrend = 0.020) and overall survival (OS) (HR = 0.49, 95% CI [0.29, 0.82], ptrend = 0.022). Patients with NLR > 2.3 and myosteatosis had the worst DFS and OS (HR = 2.77, 95% CI [1.54, 5.00], p = 0.001; HR = 3.31, 95% CI [1.79, 6.15], p < 0.001, respectively). CONCLUSION: Co-occurrence of myosteatosis and inflammation increased disease progression and death risk by almost three times. These regularly obtained biomarkers might improve prognostic risk prediction in resectable GC.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Stomach Neoplasms
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Eur J Clin Nutr
Journal subject:
CIENCIAS DA NUTRICAO
Year:
2023
Document type:
Article
Affiliation country:
Brasil
Country of publication:
Reino Unido