Clinicopathological characterization of next-generation sequencing detected mutations in lung cancers-a single-center experience

下一代测序检测到的肺癌突变的临床病理学表征——单中心经验

阅读:5
作者:Julia Walter, Amanda Tufman, Jörg Kumbrink, Jens Neumann, Kathrin Kahnert, Laura Sellmer, Andreas Jung, Jürgen Behr, Diego Kauffmann-Guerrero

Background

Despite many advances in molecular procedures many lung cancer patients do not receive full panel testing. This can limit the comprehensive understanding of their disease and potentially hinder personalized treatment options.

Conclusions

Mutation profiles differed by histological type and metastases status and were significantly associated with PD-L1 expression. In the context of limited resources, our results may help prioritize patient for testing when tissue material and funding is limited.

Methods

In this retrospective analysis, we used

Results

NGS testing found mutations in 107 (69.5%) patients; 44 patients (28.6%) had more than one mutation. The majority (79.2%) of patients had AC and 64.9% were metastasized at diagnosis. Patients with detected mutations had significantly higher PD-L1 expression than those without mutations (36.4% vs. 19.2%, P=0.005). Mean PD-L1 expression also differed between different mutations ranging from 24.0% in EGFR to 56.8% in patients with MET alterations, and increased with the number of different mutations (P=0.07). EGFR mutations were significantly more common in females compared to males (22.9% vs. 9.5%, P=0.04) and PIK3CA mutations significantly more common in SCC (21.9% vs. 2.5%, P=0.004). We found 23 different mutations in AC and 13 different gene mutations in SCC. Conclusions: Mutation profiles differed by histological type and metastases status and were significantly associated with PD-L1 expression. In the context of limited resources, our results may help prioritize patient for testing when tissue material and funding is limited.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。