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Genomic analysis of primary and recurrent gliomas reveals clinical outcome related molecular features.

ABSTRACT: Tremendous efforts have been made to explore biomarkers for classification and grading on gliomas. The goal of this study was to identify more molecular features that are associated with clinical outcomes by comparing the genomic profiles of primary and recurrent gliomas and determine potential recurrence leading factors that are significantly enriched in relapse tumors. Hybrid capture based next generation sequencing (NGS) analysis was performed on 64 primary and 17 recurrent glioma biopsies. Copy number variation (CNV) was more frequent in recurrent tumors and CDKN2A/B loss was significantly enriched. In addition, overall mutations in cell cycle pathway are more common in relapse tumors. The patterns of gene sets, including IDH1/TERT and IDH1/TP53 exhibited significant difference between the groups. Survival analysis uncovered the worse disease-free survival (DFS) and overall survival (OS) associated with altered copy number and excessive activation of CELL CYCLE pathway. High Tumor Mutation Burden (TMB) was also a biomarker with great potential for poor prognosis. The assessment of genomic characteristics in primary versus recurrent gliomas aids the discovery of potential predictive biomarkers. The prognostic value of TMB in gliomas was raised for the first time.

SUBMITTER: Zhang L

PROVIDER: S-EPMC6831607 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Genomic analysis of primary and recurrent gliomas reveals clinical outcome related molecular features.

Zhang Longbo L Liu Zhiqiang Z Li Jin J Huang Tianxiang T Wang Ying Y Chang Lianpeng L Zheng Wenjie W Ma Yujie Y Chen Fenghua F Gong Xuan X Yuan Qianying Q Teaw Shannon S Fang Xinqi X Song Tao T Huo Lei L Li Xi X Xia Xuefeng X Liu Zhixiong Z Wu Jun J

Scientific reports 20191105 1

Tremendous efforts have been made to explore biomarkers for classification and grading on gliomas. The goal of this study was to identify more molecular features that are associated with clinical outcomes by comparing the genomic profiles of primary and recurrent gliomas and determine potential recurrence leading factors that are significantly enriched in relapse tumors. Hybrid capture based next generation sequencing (NGS) analysis was performed on 64 primary and 17 recurrent glioma biopsies. C ...[more]

PMID: 31690770

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Project description:ObjectiveTo study the expression of IL13RA2 in gliomas and to analyze its correlation with clinicopathological/molecular features, immune cell infiltration and prognostic significance.MethodsmRNA expression data for IL13RA2 were downloaded and analyzed from two open access datasets (TCGA & CGGA). IL13RA2 protein expression was examined by immunohistochemistry. The association between IL13RA2 and important clinicopathological/molecular markers was examined using χ2 and Spearman correlation tests. The TIMER tool was used to evaluate the correlation of IL13RA2 with multiple intra-tumoral immune cell types in glioma. Kaplan-Meier test and multivariate Cox analyses were applied to evaluate the prognosis.ResultsOut of the 297 glioma tissues and 20 normal brain tissues in our cohort, IL13RA2 protein was highly expressed in 115 glioma tissues (115/297, 38.7%), but no expression was detected in normal brain tissues (0/20, 0%). The expression of IL13RA2 was significantly higher in GBMs (P<0.001). More than half of GBMs (68/132, 51.5%) were high expression of IL13RA2 protein, especially GBM patients with IDH wild-type and TERT promoter mutated (60/78, 76.9%). Moreover, 11/13 (84.6%) diffuse midline gliomas and 31/51 (64.7%) IDH wild-type LGGs also highly expressed IL13RA2 in our cohorts. Chi-square test showed that the expression of IL13RA2 was correlated with patient age, WHO grade, Ki67 index, IDH status, TERT promoter status and immune cell infiltration. Additionally, IL13RA2 was strongly associated with patients' OS and served as a negative prognostic marker in infiltrating gliomas.ConclusionIL13RA2 was high expression in some glioma subtypes, and significantly correlated with poor prognosis. Based on its role in CAR-T therapy, it might act as an extremely important and specific therapeutic target for human malignant gliomas, especially in IDH wild-type LGG, "IDH wild-type and TERT promoter mutated" GBM and H3K27M-mutated diffuse midline glioma, and improve the clinical outcomes of these patients.

Project description:Purpose: Pediatric cancers are often difficult to classify and can be complex to treat. To ensure precise diagnostics and identify relevant treatment targets, we implemented comprehensive molecular profiling of consecutive pediatric patients with cancer relapse. We evaluated the clinical impact of extensive molecular profiling by assessing the frequency of identified biological onco-drivers, altered diagnosis, and/or identification of new relevant targeted therapies. Patients and Methods: Forty-six tumor samples (44 fresh-frozen; two formalin-fixed paraffin embedded), two bone marrow aspirates, three cerebrospinal fluid samples, and one archived DNA were obtained from 48 children (0-17 years; median 9.5) with relapsed or refractory cancer, where the disease was rapidly progressing in spite of their current treatment or they had exhausted all treatment options. The samples were analyzed by whole-exome sequencing (WES), RNA sequencing (RNAseq), transcriptome arrays, and SNP arrays. Final reports were available within 3-4 weeks after patient inclusion and included mutation status, a description of copy number alterations, differentially expressed genes, and gene fusions, as well as suggestions for targeted treatment. Results: Of the 48 patients, 33 had actionable findings. The most efficient method for the identification of actionable findings was WES (39%), followed by SNP array (37%). Of note, gene fusions were identified by RNAseq in 21% of the samples. Eleven findings led to clinical intervention, i.e., oncogenetic counseling, targeted treatment, and treatment based on changed diagnosis. Four patients received compassionate use targeted therapy. Six patients experienced direct benefits in the form of stable disease or response. Conclusion: The application of comprehensive genetic diagnostics in children with recurrent cancers allowed for discovery and implementation of effective targeted therapies and hereby improvement of outcome in some patients.

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Genomic analysis of primary and recurrent gliomas reveals clinical outcome related molecular features.

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Genomic analysis of primary and recurrent gliomas reveals clinical outcome related molecular features.

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