通过MRI放射组学和生物学探索对2021年WHO胶质母细胞瘤进行生存风险分层。

IF 3.4 2区 医学 Q2 ONCOLOGY
Yangyang Li, Wenji Xu, Chunjuan Zhao, Jie Zhang, Zhiyi Zhang, Pengxin Shen, Xiaochun Wang, Guoqiang Yang, Jiangfeng Du, Hui Zhang, Yan Tan
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引用次数: 0

摘要

背景:2021年世界卫生组织异柠檬酸脱氢酶野生型胶质母细胞瘤(IDH-wt GBM)患者的总生存率存在差异。本研究旨在建立IDH-wt型GBM患者生存风险分层的联合模型,并探讨其生物学基础。方法:回顾性收集IDH-wt型GBM患者369例,其中273例来自3家地方医院(训练集:n = 192,检验集:n = 81), 96例来自TCIA数据库(验证集)。提取术前CE-T1WI和T2FLAIR影像中肿瘤和肿瘤周围水肿的放射组学特征。单变量和最小绝对收缩及选择算子Cox回归分析选择显著放射组学特征构建放射组学模型,单变量和多变量分析确定临床危险因素构建临床模型。根据放射组学和临床模型对高危和低危患者进行亚组分析。组合模型采用随机生存森林模型构建。此外,我们还鉴定了高危组和低危组之间的差异表达基因,并通过富集分析探索其生物学机制。结果:放射组学模型将患者分为高危组和低危组,训练/测试/验证集的C-index为0.762/0.715/0.690,优于临床模型(C-index为0.700/0.656/0.643)。联合模型的生存风险分层值最高(c指数:训练/测试/验证集:0.788/0.725/0.709)。γ -氨基丁酸(GABA)受体相关通路的激活与IDH-wt型GBM的恶性进展和预后密切相关。结论:放射组学模型可能是IDH-wt型GBM的一种新的预后生物标志物。与临床模型相比,联合模型的分层能力提高了约12.57%。此外,GABA受体相关通路的显著激活可能是合并高危IDH-wt GBM的生物学特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survival risk stratification of 2021 WHO glioblastoma by MRI radiomics and biological exploration.

Background: There is variability in overall survival among 2021 World Health Organization isocitrate dehydrogenase wild type glioblastoma (IDH-wt GBM) patients. The aim of the study was to develop a combined model for stratifying survival risk in IDH-wt GBM and explore the biological foundation.

Methods: A total of 369 IDH-wt GBM patients were retrospectively collected: 273 patients from three local hospitals (training set: n = 192, testing set: n = 81) and 96 patients from the TCIA database (validation set). Radiomics features from tumor and peritumoral edema in preoperative CE-T1WI and T2FLAIR were extracted. Univariate and least absolute shrinkage and selection operator Cox regression analyses selected significant radiomics features to construct radiomics model, while univariable and multivariable analyses identified clinical risk factors for the clinical model. High-risk and low-risk patients from radiomics and clinical model underwent subgroup analysis. The combined model was constructed using the Random Survival Forest model. Additionally, differentially expressed genes between combined high-risk and low-risk groups were identified, with enrichment analyses exploring their biological mechanisms.

Results: The radiomics model categorizes patients into high-risk and low-risk groups with superior performance (C-index: 0.762/0.715/0.690 for training/testing/validation sets) compared to the clinical model (C-index: 0.700/0.656/0.643). The combined model demonstrates the highest value in survival risk stratification (C-index: training/testing/validation sets: 0.788/0.725/0.709). The activation of Gamma-aminobutyric acid (GABA) receptor-related pathways is closely associated with malignant progression and prognosis of IDH-wt GBM.

Conclusions: The radiomics model might be a new prognostic biomarker for IDH-wt GBM. The combined model shows an approximately 12.57% improvement of stratification ability over the clinical model. Additionally, the significant activation of GABA receptor-related pathways may be a biological feature of combined high-risk IDH-wt GBM.

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来源期刊
BMC Cancer
BMC Cancer 医学-肿瘤学
CiteScore
6.00
自引率
2.60%
发文量
1204
审稿时长
6.8 months
期刊介绍: BMC Cancer is an open access, peer-reviewed journal that considers articles on all aspects of cancer research, including the pathophysiology, prevention, diagnosis and treatment of cancers. The journal welcomes submissions concerning molecular and cellular biology, genetics, epidemiology, and clinical trials.
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