FGFR-driven urothelial cancer v2
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://www.omicsdi.org/dataset/ega/EGAS00001007335
下载链接
链接失效反馈官方服务：
资源简介：
We performed a global mutational landscape analysis using tumor samples from the 47 urothelial cancer patients included in MATCH-R or MOSCATO studies, with advanced metastatic disease and WES available (RNAseq is included for 38 patient samples). The most frequently altered genes were TP53 (51%), FGFR3 (34%), and KMT2D (34%).EGA study EGAS00001007335
创建时间：
2023-06-16
