Associations of subcutaneous fat area and Systemic Immune-inflammation Index with survival in patients with advanced gastric cancer receiving dual PD-1 and HER2 blockade

被引:26
作者
He, Meng [1 ]
Chen, Zi-Fan [2 ]
Zhang, Li [2 ]
Gao, Xiangyu [3 ]
Chong, Xiaoyi [4 ]
Li, Hao-shen [2 ]
Shen, Lin [4 ]
Ji, Jiafu [3 ]
Zhang, Xiaotian [4 ]
Dong, Bin [5 ,6 ,7 ]
Li, Zi-Yu [3 ]
Lei, Tang [1 ]
机构
[1] Peking Univ Canc Hosp, Dept Radiol, Key Lab Carcinogenesis & Translat Res, Minist Educ, Beijing, Peoples R China
[2] Peking Univ, Ctr Data Sci, Beijing, Peoples R China
[3] Peking Univ Canc Hosp, Dept Gastrointestinal Surg, Key Lab Carcinogenesis & Translat Res, Minist Educ, Beijing, Peoples R China
[4] Peking Univ Canc Hosp & Inst, Dept Gastrointestinal Oncol, Key Lab Carcinogenesis & Translat Res, Minist Educ, Beijing, Peoples R China
[5] Peking Univ, Beijing Int Ctr Math Res, Beijing, Peoples R China
[6] Peking Univ, Ctr Machine Learning Res, Beijing, Peoples R China
[7] Peking Univ, Natl Biomed Imaging Ctr, Beijing, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
gastrointestinal neoplasms; immunotherapy; inflammation; tumor biomarkers; BODY-COMPOSITION PARAMETERS; JUNCTION CANCER; IMPACT; PROGNOSIS; SARCOPENIA; OUTCOMES; THERAPY; CELLS; CT;
D O I
10.1136/jitc-2023-007054
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundSystemic Immune-inflammation Index (SII) and body composition parameters are easily assessed, and can predict overall survival (OS) in various cancers, allowing early intervention. This study aimed to assess the correlation between CT-derived body composition parameters and SII and OS in patients with advanced gastric cancer receiving dual programmed death-1 (PD-1) and human epidermal growth factor receptor 2 (HER2) blockade. Materials and methodsThis retrospective study enrolled patients with advanced gastric cancer treated with dual PD-1 and HER2 blockade from March 2019 to June 2022. We developed a deep learning model based on nnU-Net to automatically segment skeletal muscle, subcutaneous fat and visceral fat at the third lumbar level, and calculated the corresponding Skeletal Muscle Index, skeletal muscle density, subcutaneous fat area (SFA) and visceral fat area. SII was computed using the formula that total peripheral platelet countxneutrophil/lymphocyte ratio. Univariate and multivariate Cox regression analysis were used to determine the associations between SII, body composition parameters and OS. ResultsThe automatic segmentation deep learning model was developed to efficiently segment body composition in 158 patients (0.23 s/image). Multivariate Cox analysis revealed that high SII (HR=2.49 (95% CI 1.54 to 4.01), p<0.001) and high SFA (HR=0.42 (95% CI 0.24 to 0.73), p=0.002) were independently associated with OS, whereas sarcopenia was not an independent prognostic factor for OS (HR=1.41 (95% CI 0.86 to 2.31), p=0.173). In further analysis, patients with high SII and low SFA had worse long-term prognosis compared with those with low SII and high SFA (HR=8.19 (95% CI 3.91 to 17.16), p<0.001). ConclusionPretreatment SFA and SII were significantly associated with OS in patients with advanced gastric cancer. A comprehensive analysis of SII and SFA may improve the prognostic stratification of patients with gastric cancer receiving dual PD-1 and HER2 blockade.
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页数:13
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