Use of computed tomography-derived body composition to determine the prognosis of patients with primary liver cancer treated with immune checkpoint inhibitors: a retrospective cohort study.
Use of computed tomography-derived body composition to determine the prognosis of patients with primary liver cancer treated with immune checkpoint inhibitors: a retrospective cohort study.
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DOI:
10.1186/s12885-022-09823-7
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发表时间:
2022-07-06
期刊:
影响因子:
3.8
通讯作者:
中科院分区:
文献类型:
--
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Immune checkpoint inhibitors (ICIs) have been used to successfully treat primary liver cancer (PLC); however, identifying modifiable patient factors associated with therapeutic benefits is challenging. Obesity is known to be associated with increased survival after ICI treatment; however, the relationship between body composition (muscle, fat) and outcomes is unclear. This study aimed to evaluate the association between sarcopenia and CT-derived fat content and the prognosis of ICIs for the treatment of PLC. In this retrospective cohort study of 172 patients with PLC, we measured the skeletal muscle index (SMI), skeletal muscle density, visceral adipose tissue index, subcutaneous adipose tissue index, total adipose tissue index (TATI), and visceral-to-subcutaneous adipose tissue area ratio using CT. In addition, we analyzed the impact of body composition on the prognosis of the patients. Multivariate Cox regression analysis was used to screen for influencing factors. Among the seven body composition components, low SMI (sarcopenia) and low TATI were significantly associated with poor clinical outcomes. Multivariate analysis revealed that sarcopenia (hazard ratio [HR], 5.39; 95% confidence interval [CI], 1.74–16.74; p = 0.004) was a significant predictor of overall survival (OS). Kaplan–Meier curves showed that sarcopenia and TATI were significant predictors of OS. Body mass index was not associated with survival outcomes. Sarcopenia and fat tissue content appear to be independently associated with reduced survival rates in patients with PLC treated with ICIs. The online version contains supplementary material available at 10.1186/s12885-022-09823-7.
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影响因子:
--
作者:
Wang, Jia-Ren;Li, Rui-Ning;Xiao, Lu-Shan
通讯作者:
Xiao, Lu-Shan
影响因子:
--
作者:
Xiao, Lu-Shan;Li, Qi-Mei;Liu, Li
通讯作者:
Liu, Li
DOI:
10.1111/apha.12224
发表时间:
2014-03
期刊:
Acta physiologica (Oxford, England)
影响因子:
--
作者:
Aubrey J;Esfandiari N;Baracos VE;Buteau FA;Frenette J;Putman CT;Mazurak VC
通讯作者:
Mazurak VC
影响因子:
28.4
作者:
Caan, Bette J.;Feliciano, Elizabeth M. Cespedes;Chen, Wendy Y.
通讯作者:
Chen, Wendy Y.
影响因子:
6
作者:
Antonelli, Giulio;Gigante, Elia;Marignani, Massimo
通讯作者:
Marignani, Massimo