DIPG-27. DIFFUSE INTRINSIC PONTINE GLIOMA (DIPG) CHALLENGE: FROM GENE EXPRESSION PROFILE TO DRUG
NEURO-ONCOLOGY(2023)
摘要
Abstract Diffuse intrinsic pontine glioma (DIPG) accounts for 80% of pediatric brainstem tumors and about 10-20% of all central nervous system tumors in childhood. Despite the adoption of aggressive therapeutic approaches, DIPG remains the leading cause of cancer-related mortality in childhood: prognosis is still poor with more than 90% of affected children dying within 18-24 months from the diagnosis.1 Decades of clinical attempts involving more than 200 trials evaluating different conventional cytotoxic drugs, targeted drugs and studies with radiation dose escalating and new radio sensitizing agents, have failed to improve the overall survival of children with DIPG. Since available drugs have proven no benefits hereto for DIPG, it is fundamental to gain insights into the gene expression profile of DIPG patients and speed up the discovery of novel therapeutics for this dismal malignancy. Only the compound ONC201 was discovered to reduce DIPG tumors size in DIPG H3K27M mutated and now is in phase III clinical trials. Given the complex molecular mechanisms underlying DIPG, it would be necessary to fully utilize gene expression profiles to build a fully knowledge of DIPG-related genes and pathways. Preliminarily, the gene expression profile of eight pediatric DIPG samples and two primary pontine tissue samples was downloaded and analyzed starting from the Gene Expression Omnibus (GEO) database2. The GEO data were used to evaluate the differentially expressed genes (DEGs) in the pediatric DIPG samples. Subsequently, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome pathways of DEGs were enriched, integrated, and analyzed to find out genes and signaling pathways involved in the biological and clinic-pathological features of DIPG. More data are being to be added to our meta-analysis.
更多查看译文
关键词
Brain Tumor Epidemiology
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn