Data Sheet 1_TET2 gene mutation status associated with poor prognosis of transition zone prostate cancer: a retrospective cohort study based on whole exome sequencing and machine learning models.docx

Data Sheet 1_TET2 gene mutation status associated with poor prognosis of transition zone prostate cancer: a retrospective cohort study based on whole exome sequencing and machine learning models.docx

Background<p>Prostate cancer (PCa) in the transition zone (TZ) is uncommon and often poses challenges for early diagnosis, but its genomic determinants and therapeutic vulnerabilities remain poorly characterized.</p>Methods<p>Tumor mutational landscape was characterized in nine pat...

Full description

Saved in:
Bibliographic Details
Main Author: Yutong Wang (3852589) (author)
Other Authors: Ailing Yu (8205357) (author), Ziping Gao (21083699) (author), Xiaoying Yuan (311735) (author), Xiaochen Du (7400399) (author), Peng Shi (132534) (author), Haoyun Guan (21083702) (author), Shuang Wen (2146663) (author), Honglong Wang (21083705) (author), Liang Wang (23021) (author), Bo Fan (383210) (author), Zhiyu Liu (739871) (author)
Published: 2025
Subjects:
Cell Metabolism
transition zone
prostate cancer
whole-exome sequencing
driver genes
medication prediction
TET2 mutation
machine learning models
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items