Liu Feili, Qian Jin, Ma Chenkai
Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China.
Neurosurgical Institute, Fudan University, Shanghai 200040, China.
Cancers (Basel). 2021 Mar 5;13(5):1113. doi: 10.3390/cancers13051113.
Meningioma is the most common tumor in central nervous system (CNS). Although most cases of meningioma are benign (WHO grade I) and curable by surgical resection, a few tumors remain diagnostically and therapeutically challenging due to the frequent recurrence and progression. The heterogeneity of meningioma revealed by DNA methylation profiling suggests the demand of subtyping for meningioma. Therefore, we performed a clustering analyses to characterize the progressive features of meningioma and constructed a meningioma progression score to predict the risk of the recurrence. A total of 179 meningioma transcriptome from RNA sequencing was included for progression subtype clustering. Four biologically distinct subtypes (subtype 1, subtype 2, subtype 3 and subtype 4) were identified. Copy number alternation and genomewide DNA methylation of each subtype was also characterized. Immune cell infiltration was examined by the microenvironment cell populations counter. All anaplastic meningiomas (7/7) and most atypical meningiomas (24/32) are enriched in subtype 3 while no WHO II or III meningioma presents in subtype 1, suggesting subtype 3 meningioma is a progressive subtype. Stemness index and immune response are also heterogeneous across four subtypes. Monocytic lineage is the most immune cell type in all meningiomas, except for subtype 1. CD8 positive T cells are predominantly observed in subtype 3. To extend the clinical utility of progressive meningioma subtyping, we constructed the meningioma progression score (MPscore) by the signature genes in subtype 3. The predictive accuracy and prognostic capacity of MPscore has also been validated in three independent cohort. Our study uncovers four biologically distinct subtypes in meningioma and the MPscore is potentially helpful in the recurrence risk prediction and response to treatments stratification in meningioma.
脑膜瘤是中枢神经系统(CNS)中最常见的肿瘤。尽管大多数脑膜瘤病例是良性的(世界卫生组织I级),可通过手术切除治愈,但由于频繁复发和进展,一些肿瘤在诊断和治疗上仍具有挑战性。DNA甲基化谱揭示的脑膜瘤异质性表明需要对脑膜瘤进行亚型分类。因此,我们进行了聚类分析以表征脑膜瘤的进展特征,并构建了脑膜瘤进展评分来预测复发风险。总共纳入了179个来自RNA测序的脑膜瘤转录组进行进展亚型聚类。鉴定出四种生物学上不同的亚型(亚型1、亚型2、亚型3和亚型4)。还对每种亚型的拷贝数改变和全基因组DNA甲基化进行了表征。通过微环境细胞群体计数器检查免疫细胞浸润情况。所有间变性脑膜瘤(7/7)和大多数非典型脑膜瘤(24/32)在亚型3中富集,而亚型1中未出现世界卫生组织II级或III级脑膜瘤,这表明亚型3脑膜瘤是一种进展性亚型。干性指数和免疫反应在四种亚型中也存在异质性。除亚型1外,单核细胞系是所有脑膜瘤中最主要的免疫细胞类型。CD8阳性T细胞主要在亚型3中观察到。为了扩展进展性脑膜瘤亚型分类的临床应用,我们通过亚型3中的特征基因构建了脑膜瘤进展评分(MPscore)。MPscore的预测准确性和预后能力也在三个独立队列中得到了验证。我们的研究揭示了脑膜瘤中四种生物学上不同的亚型,MPscore可能有助于脑膜瘤复发风险预测和治疗分层反应。