five

Supplementary Material for: Cell-Free DNA and Neuromediators in Detecting Aggressive Variant Prostate Cancer

收藏
DataCite Commons2020-08-28 更新2024-07-27 收录
下载链接:
https://karger.figshare.com/articles/Supplementary_Material_for_Cell-Free_DNA_and_Neuromediators_in_Detecting_Aggressive_Variant_Prostate_Cancer/7177589
下载链接
链接失效反馈
官方服务:
资源简介:
<b><i>Background:</i></b> Aggressive variant transformation in metastatic castration-resistant prostate cancer (mCRPC) represents an under-recognized phenomenon. There is an urgent need for non-invasive biomarkers to detect these variants and identify treatment alternatives. <b><i>Methods:</i></b> A prospective observational pilot study in mCRPC patients receiving treatment with cabazitaxel (CAB) was conducted. Neuromediators were sequentially evaluated and their impact on disease endpoints calculated. Targeted next-generation sequencing (NGS) of cell-free DNA (cfDNA) was also performed in a highly pretreated subset of patients. <b><i>Results:</i></b> 23 patients were included. Estimated effects indicate that neuron-specific enolase (NSE) levels at baseline may be correlated with overall survival (NSE unit 18.3 ng/ml: HR1.262 (95% confidence interval (CI) 0.985-1.616)) and that chromogranin A (CGA) may be correlated with progression-free survival (CGA unit 98.1 ng/ml: HR1.341 (95% CI 1.011-1.778)). cfDNA analysis revealed mutations annotated in prostate cancer (PCA) and small cell cancers (SCC). 1 patient showed elevated neuromediators along with annotated mutations in PCA and SCC, potentially indicating aggressive variant cancer. In 3 patients KIT mutations (e.g. pM541L, pV654A) known to be tissue-based biomarkers with level 1 evidence for the treatment with imatinib and sunitinib were found. <b><i>Conclusions:</i></b> Sequential analysis of neuromediators and targeted NGS of cfDNA provide insight for the estimation of tumor heterogeneity under therapy with CAB.
提供机构:
Karger Publishers
创建时间:
2018-10-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作