Noninvasive radiomics model reveals macrophage infiltration in glioma

被引：23

作者：

Fan, Xiao ^{[1
]}

Li, Jintan ^{[1
]}

Huang, Bin ^{[2
]}

Lu, Hongyu ^{[1
]}

Lu, Chenfei ^{[1
]}

Pan, Minhong ^{[5
]}

Wang, Xiefeng ^{[1
]}

Zhang, Hongjian ^{[6
]}

You, Yongping ^{[1
,3
]}

Wang, Xiuxing ^{[3
,4
]}

Wang, Qianghu ^{[2
,3
]}

Zhang, Junxia ^{[1
,3
]}

机构：

[1] Nanjing Med Univ, Affiliated Hosp 1, Dept Neurosurg, Nanjing, Peoples R China

[2] Nanjing Med Univ, Dept Bioinformat, Nanjing, Peoples R China

[3] Nanjing Med Univ, Inst Brain Tumors, Jiangsu Collaborat Innovat Ctr Canc Personalized M, Nanjing, Peoples R China

[4] Nanjing Med Univ, Sch Basic Med Sci, Nanjing, Peoples R China

[5] Nanjing Med Univ, Affiliated Hosp 1, Dept Pathol, Nanjing, Peoples R China

[6] Nanjing Med Univ, Sch Biomed Engn & Informat, Dept Med Informat, Nanjing, Jiangsu, Peoples R China

来源：

CANCER LETTERS | 2023年 / 573卷

关键词：

Glioma; Radiomics; Tumor microenvironment; Macrophage infiltration; TUMOR; GLIOBLASTOMA; SURVIVAL; SYSTEM;

D O I：

10.1016/j.canlet.2023.216380

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Preoperative MRI is an essential diagnostic and therapeutic reference for gliomas. This study aims to evaluate the prognostic aspect of a radiomics biomarker for glioma and further investigate its relationship with tumor microenvironment and macrophage infiltration. We covered preoperative MRI of 664 glioma patients from three independent datasets: Jiangsu Province Hospital (JSPH, n = 338), The Cancer Genome Atlas dataset (TCGA, n = 252), and Repository of Molecular Brain Neoplasia Data (REMBRANDT, n = 74). Incorporating a multistep postprocessing workflow, 20 radiomics features (Rads) were selected and a radiomics survival biomarker (RadSurv) was developed, proving highly efficient in risk stratification of gliomas (cut-off = 1.06), as well as lower-grade gliomas (cut-off = 0.64) and glioblastomas (cut-off = 1.80) through three fixed cut-off values. Through immune infiltration analysis, we found a positive correlation between RadSurv and macrophage infiltration (R-M phi = 0.297, p < 0.001; R-M2 phi = 0.241, p < 0.001), further confirmed by immunohistochemical-staining (glioblastomas, n = 32) and single-cell sequencing (multifocal glioblastomas, n = 2). In conclusion, RadSurv acts as a strong prognostic biomarker for gliomas, exhibiting a non-negligible positive correlation with macrophage infiltration, especially with M2 macrophage, which strongly suggests the promise of radiomics-based models as a preoperative alternative to conventional genomics for predicting tumor macrophage infiltration and provides clinical guidance for immunotherapy.

引用

页数：11

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