Comprehensive genetic alteration profiling in primary and recurrent glioblastoma

Journal of neuro-oncology(2018)

引用 24|浏览37
暂无评分
摘要
Introduction Glioblastoma (GBM) is heterogeneous and underlying genomic profiles influence evolution, resistance, and therapeutic responses. While extensive knowledge regarding genomic profiling of primary GBM exists, there remains a lack of understanding of genomic differences in recurrent GBM. Methods We used the FoundationOne® comprehensive genomic profiling assay (CGP) to analyze ten matched primary and recurrent GBM. Genomic alterations (GA) were compared to the cancer database Catalogue of Somatic Mutations in Cancer (COSMIC). Results All matched tumor pairs demonstrated differences in GA between the primary and recurrence including one resected without any intervening therapy. This suggests that time and/or therapeutic intervention contribute to GA. Although mutations were common to both the primary and recurrence, the percent reads varied substantially suggesting clonal expansions and contractions. For example, EGFR mutations were significantly expanded in three patients, and CNAs were increased in two patients at recurrence. Four genes that were commonly altered in both primary and recurrent GBM were more prevalent in our cohort than reported in COSMIC: CDKN2A (86% vs. 53%) and CDKN2B (86% vs. 54%) deletions, EGFR activating mutation (52% vs. 10%) or amplification (81% vs. 45%), and TERT mutation (95% vs. 51%). Lastly, PI3K pathway activating mutations were also commonly seen in our cohort (67%). Conclusions CGP revealed that GA identified in GBM changed over time and with treatment. Mutations in TERT, CDKN2A / CDKN2B, EGFR , and PI3K pathway were commonly observed in both primary and recurrent GBM revealing their prognostic and therapeutic potential. This may have important implications for individualized therapies and needs further evaluation.
更多
查看译文
关键词
EGFR,Genomic profiling,Glioblastoma,Recurrent glioblastoma
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要