TY  - JOUR
AU  - Gao, Shaowei
AU  - Qiu, Zeting
AU  - Song, Yiyan
AU  - Mo, Chengqiang
AU  - Tan, Wulin
AU  - Chen, Qinchang
AU  - Liu, Dong
AU  - Chen, Mengyu
AU  - Zhou, Huaqiang
PY  - 2017
TI  - Unsupervised clustering reveals new prostate cancer subtypes
JF  - Translational Cancer Research; Vol 6, No 3 (June 30, 2017): Translational Cancer Research
Y2  - 2017
KW  - 
N2  - Background: Prostate cancer is the second most common cancer in men. It is urgent to develop a genetic classification for prostate cancer. We aimed to establish the basis of genetic typing.   Methods: We used four series of prostate cancer data. The Cancer Genome Atlas (TCGA) RNA-Seq data were used to train the classifier. Three subgroups based on the classifier were tested whether to have significant differences in the clinical data. The other three sets were classified by the classifier and validated with respective clinical data.  Results: The classifier had 183 genes. Prostate cancer subtype 1 (PCS1) was characterized by high expression of GSTP1, with lower Gleason scores (P
UR  - https://tcr.amegroups.org/article/view/13778