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通过整合程序性死亡配体1和肿瘤浸润免疫细胞(包括CD4+/CD8+肿瘤浸润淋巴细胞和CD163+肿瘤相关巨噬细胞)进行胃癌分层预后预测的列线图。

Nomograms for stratified prognosis prediction of gastric cancer by integrating programmed death ligand 1 and tumor-infiltrating immune cells including CD4+/CD8+ TILs and CD163+ TAMs.

作者信息

Qi Xiumin, Guo Yixuan, Xiao Yan, Pan Xiang, Chen Fangming, Zhang Xu

机构信息

Department of Pathology, Wuxi No.2 People's Hospital, Jiangnan University Medical Center, Affiliated Wuxi Clinical College of Nantong University, Jiangnan University, Wuxi, Jiangsu, China.

Department of Radiology, Wuxi No.2 People's Hospital, Jiangnan University Medical Center, Affiliated Wuxi Clinical College of Nantong University, Jiangnan University, Wuxi, Jiangsu, China.

出版信息

Front Oncol. 2025 Jun 25;15:1530054. doi: 10.3389/fonc.2025.1530054. eCollection 2025.

Abstract

PURPOSE

To develop nomograms for predicting disease-free survival (DFS) and overall survival (OS) of gastric cancer (GC) by integrating programmed death ligand 1 (PD-L1) and CD4+/CD8+ tumor-infiltrating lymphocytes (TILs) and CD163+ tumor-associated macrophages (TAMs).

MATERIALS AND METHODS

Immunohistochemistry for PD-L1, CD4+/CD8+ TILs and CD163+TAMs was performed on 126 surgically-resected GC specimens between January 2016 and May 2018. Subsequently, the expression of PD-L1 and these tumor-infiltrating immune cells(TIICs), in combination with multiple clinicopathologic features, was used to formulate nomograms for predicting DFS or OS based on the results of multivariate Cox regression analysis. The performance of the nomograms for DFS or OS was verified in the 10-fold cross-validation of the study cohort and measured by Harrell's concordance-index (C-index).

RESULTS

After multivariable Cox regression analyses, high PD-L1 expression (hazard ratio[HR]=2.17, 95% confidence interval [CI] 1.37-3.43), low CD8+ TILs density(HR=0.35, 95% CI 0.15-0.81), high CD163+ macrophages density (HR=1.84, 95% CI 1.17-2.89), TNM stage (stage III vs stage I+II, HR=1.37, 95% CI 1.06-2.23) and microsatellite instability-high(MSI-H) ( MSI-H VS microsatellite stability (MSS), HR=0.41, 95% CI 0.20-0.83) were found to be independent risk factors for DFS. Similarly, high PD-L1 expression (HR=2.64, 95% CI 1.61-4.34), high CD4+ TILs density (HR=1.98, 95% CI 1.21-3.24), low CD8+ TILs density (HR=0.23 95% CI 0.07-0.73), high CD163+ TAMs density (HR=2.31, 95% CI 1.43-3.74), MSI-H (MSI-H VS MSS, HR=0.26, 95% CI 0.12-0.60) and TNM stage (stage III vs stage I +II, HR=1.61, 95% CI 1.01-2.56) were independently associated with OS. These actors were then selected to establish nomograms for DFS and OS individually. The established nomogram for DFS yielded a corrected C-index of 0.679 by 10- fold cross-validation. Similarly, the established nomogram for OS yielded a corrected C-index of 0.755.These results suggest that PD-L1 and high density of CD4+ TILsas well as CD163+ TAMs are risk factors for poor prognosis in GC patients.On the contrary, MSI-H and high density of CD8+ TILsare associated with good prognosis in GC patients.

CONCLUSIONS

The developed prognostic nomograms for GC integrating PD-L1 and CD4+/CD8+ TILs as well as CD163+TAMs offer a more personalized and precise prediction of DFS and OS for patients, which can help to improve prognostic stratification.

摘要

目的

通过整合程序性死亡配体1(PD-L1)、CD4+/CD8+肿瘤浸润淋巴细胞(TILs)和CD163+肿瘤相关巨噬细胞(TAMs),开发预测胃癌(GC)无病生存期(DFS)和总生存期(OS)的列线图。

材料与方法

对2016年1月至2018年5月期间手术切除的126例GC标本进行PD-L1、CD4+/CD8+ TILs和CD163+ TAMs的免疫组织化学检测。随后,根据多变量Cox回归分析结果,将PD-L1和这些肿瘤浸润免疫细胞(TIICs)的表达与多个临床病理特征相结合,制定预测DFS或OS的列线图。在研究队列的10倍交叉验证中验证DFS或OS列线图的性能,并通过Harrell一致性指数(C指数)进行测量。

结果

经过多变量Cox回归分析,发现高PD-L1表达(风险比[HR]=2.17,95%置信区间[CI] 1.37 - 3.43)、低CD8+ TILs密度(HR=0.35,95% CI 0.15 - 0.81)、高CD163+巨噬细胞密度(HR=1.84,95% CI 1.17 - 2.89)、TNM分期(III期vs I + II期,HR=1.37,95% CI 1.06 - 2.23)和微卫星高度不稳定(MSI-H)(MSI-H vs微卫星稳定(MSS),HR=0.41,95% CI 0.20 - 0.83)是DFS的独立危险因素。同样,高PD-L1表达(HR=2.64,95% CI 1.61 - 4.34)、高CD4+ TILs密度(HR=1.98,95% CI 1.21 - 3.24)、低CD8+ TILs密度(HR=0.23,95% CI 0.07 - 0.73)、高CD163+ TAMs密度(HR=2.31,95% CI 1.43 - 3.74)、MSI-H(MSI-H vs MSS,HR=0.26,95% CI 0.12 - 0.60)和TNM分期(III期vs I + II期,HR=1.61,95% CI 1.01 - 2.56)与OS独立相关。然后选择这些因素分别建立DFS和OS的列线图。通过10倍交叉验证,建立的DFS列线图校正C指数为0.679。同样,建立的OS列线图校正C指数为0.755。这些结果表明,PD-L1以及CD4+ TILs和CD163+ TAMs的高密度是GC患者预后不良的危险因素。相反,MSI-H和CD8+ TILs的高密度与GC患者的良好预后相关。

结论

所开发的整合PD-L1、CD4+/CD8+ TILs以及CD163+ TAMs的GC预后列线图为患者提供了更个性化、精确的DFS和OS预测,有助于改善预后分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ee7/12237614/38c188bf93c5/fonc-15-1530054-g001.jpg

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