P11.09.a significance of molecular diagnostics for therapeutic decision making in recurrent glioma

Neuro-Oncology(2023)

引用 0|浏览5
暂无评分
摘要
Abstract BACKGROUND Targeted therapies have substantially improved survival in cancer patients with malignancies outside the brain. Whether in-depth analysis for molecular alterations may also offer therapeutic avenues in primary brain tumors remains unclear. We herein present our institutional experience for glioma patients discussed in our interdisciplinary Molecular Tumor Board (MTB) implemented at the Comprehensive Cancer Center Munich (LMU). MATERIAL AND METHODS We retrospectively searched the database of the MTB for all recurrent glioma patients after previous therapy. Recommendations were based uponnext-generation sequencing results of individual patient’s tumor tissue. Clinical and molecular information, previous therapy regimens and outcome parameters were collected. RESULTS Overall, 73 consecutive recurrent glioma patients were identified. In the median, advanced molecular testing was initiated with the third tumor recurrence. The median turnaround time between initiation of molecular profiling and MTB case discussion was 48 ± 75 days (range: 32 - 536 days). Targetable mutations were found for 50 recurrent glioma patients (68.5%). IDH1 mutation (27/73; 37%), EGFR amplification (19/73; 26%) and NF1 mutation (8/73; 11%) were the most detected alterations and a molecular-based treatment recommendation could be made for all of them. Therapeutic recommendations were implemented in 12 cases (24%) and one third of these heavily pretreated patients experienced clinical benefit with at least partial response or disease stabilization. CONCLUSION In-depth molecular analysis of tumor tissue may guide targeted therapy also in brain tumor patients and considerable anti-tumor effects might be observed in selected cases. However, future studies to corroborate our results are needed.
更多
查看译文
关键词
molecular diagnostics,therapeutic decision making
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