4.6 Article

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

期刊

BMC CANCER
卷 22, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12885-022-09823-7

关键词

Primary liver cancer; Immune checkpoint inhibitors; Sarcopenia; Fat tissue; Prognosis

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资金

  1. National Nature Science Foundation of China [81773008, 81972897]
  2. Clinical Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education [LC2019ZD003]
  3. China Postdoctoral Science Foundation [2021M701629]
  4. Guangdong Province College Students' Innovative Entrepreneurial Training Program [S202212121108]

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This study explored the association between sarcopenia and CT-derived fat content with the prognosis of primary liver cancer patients treated with immune checkpoint inhibitors (ICIs). The results showed that sarcopenia and low fat tissue content were significantly associated with poor clinical outcomes.
Background 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. Methods 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. Results 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. Conclusions Sarcopenia and fat tissue content appear to be independently associated with reduced survival rates in patients with PLC treated with ICIs.

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