Pre-treatment body composition metrics (SMI, VFA, SFA) did not significantly predict survival in NSCLC patients receiving checkpoint inhibitors, though the study was likely underpowered with wide confidence intervals, limiting definitive conclusions.
Key Findings
Results
Sarcopenia defined by validated cutoffs did not statistically differ in survival compared to non-sarcopenic patients in NSCLC patients receiving checkpoint inhibitors.
HR 1.21 (95% CI 0.63, 2.43) for sarcopenia vs. non-sarcopenia
Sarcopenia was defined using validated cutoffs: males < 45.4 cm2/m2, females < 34.4 cm2/m2
This finding remained consistent when males and females were examined separately
The finding also remained consistent when the model was adjusted for timing to checkpoint inhibitor
Methods
The study cohort consisted of 46 NSCLC patients receiving checkpoint inhibitor therapy, predominantly pembrolizumab.
46 total patients: 25 males (54.3%) and 21 females (45.7%)
93.5% received pembrolizumab and 6.5% received nivolumab
CT scans were obtained within 60 days of initiating checkpoint inhibitor therapy
Median time from CT scan to checkpoint inhibitor initiation was 14 days (IQR: -47 to 18)
This was a retrospective pilot study conducted at a single tertiary care center
Results
One-year and two-year survival rates differed between males and females in this NSCLC cohort.
One-year survival was 72.0% for males and 59.3% for females
Two-year survival was 33.7% for males and 27.3% for females
Cox proportional hazards models were used to evaluate associations between body composition and survival
Analyses were stratified by sex
Methods
Body composition metrics were measured at the L3 vertebral level using TeraRecon software, capturing skeletal muscle index, visceral fat area, and subcutaneous fat area.
Measurements were performed by a trained reader
Skeletal muscle index (SMI), visceral fat area (VFA), and subcutaneous fat area (SFA) were all assessed
The L3 vertebral level is a validated anatomical landmark for body composition assessment on CT scans
Conclusions
Pre-treatment body composition metrics overall did not significantly predict survival in NSCLC patients receiving checkpoint inhibitors in this pilot study.
The study was described as likely underpowered with wide confidence intervals
The authors note these findings provide 'a methodological framework for larger multicenter studies to validate the prognostic utility of CT-derived body composition in this population'
The small sample size (n=46) limits definitive conclusions
Kooser J, Davis M, Guo T, Vanenkevort E, Young A, Koppenhaver N, et al.. (2025). Does pre-checkpoint inhibitor sarcopenia, visceral, or subcutaneous fat predict survival in non-small cell lung cancer patients?. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer. https://doi.org/10.1007/s00520-025-10243-z