Literature DB >> 33807688

MPscore: A Novel Predictive and Prognostic Scoring for Progressive Meningioma.

Feili Liu1,2,3,4, Jin Qian5, Chenkai Ma6.   

Abstract

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.

Entities:  

Keywords:  ALPL; consensus clustering; immune cells; meningioma; progression; random forest; subtype; transcriptome

Year:  2021        PMID: 33807688      PMCID: PMC7961759          DOI: 10.3390/cancers13051113

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  4 in total

1.  The cuproptosis-related gene signature serves as a potential prognostic predictor for ovarian cancer using bioinformatics analysis.

Authors:  Xin Sun; Panling Xu; Fengli Zhang; Ting Sun; Haili Jiang; Xinyuan Lu; Mei Zhang; Ping Li
Journal:  Ann Transl Med       Date:  2022-09

Review 2.  The integrated multiomic diagnosis of sporadic meningiomas: a review of its clinical implications.

Authors:  Stephanie M Robert; Shaurey Vetsa; Arushii Nadar; Sagar Vasandani; Mark W Youngblood; Evan Gorelick; Lan Jin; Neelan Marianayagam; E Zeynep Erson-Omay; Murat Günel; Jennifer Moliterno
Journal:  J Neurooncol       Date:  2021-11-30       Impact factor: 4.130

3.  The novel lncRNA GPC5-AS1 stabilizes GPC5 mRNA by competitively binding with miR-93/106a to suppress gastric cancer cell proliferation.

Authors:  Guo Bo; Yijie Liu; Wen Li; Lumin Wang; Lingyu Zhao; Dongdong Tong; Lei Ni; Liying Liu; Yannan Qin; Wenjing Wang; Chen Huang
Journal:  Aging (Albany NY)       Date:  2022-02-18       Impact factor: 5.682

4.  m6A Methylation Regulators Are Predictive Biomarkers for Tumour Metastasis in Prostate Cancer.

Authors:  Yingchun Liang; Xiaohua Zhang; Chenkai Ma; Jimeng Hu
Journal:  Cancers (Basel)       Date:  2022-08-21       Impact factor: 6.575

  4 in total

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