scholarly journals Identification and characterization of phenotypically-distinct subpopulations in patient-derived organoid models of prostate cancer lineage plasticity

Author(s):  
Mike Beshiri
2019 ◽  
Author(s):  
Leihong Deng ◽  
Xiaopeng Gu ◽  
Tao Zeng ◽  
Fanghua Xu ◽  
Zhifeng Dong ◽  
...  

2017 ◽  
Vol 16 (3) ◽  
pp. e1288-e1289
Author(s):  
R. Getzenberg ◽  
S. Ponnusamy ◽  
T. Thiyagarajan ◽  
D.-J. Hwang ◽  
Y. He ◽  
...  

2001 ◽  
Vol 276 (44) ◽  
pp. 40417-40423 ◽  
Author(s):  
Xin Wang ◽  
Shuyuan Yeh ◽  
Guan Wu ◽  
Cheng-Lung Hsu ◽  
Liang Wang ◽  
...  

2017 ◽  
Vol 197 (4S) ◽  
Author(s):  
Suriyan Ponnusamy ◽  
Robert Getzenberg ◽  
Thirumagal Thiyagarajan ◽  
Dong-Jin Hwang ◽  
Yali He ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Daniel J. A. Margolis

Multiparametric MRI of the prostate combines high-resolution anatomic imaging with functional imaging of alterations in normal tissue caused by neoplastic transformation for the identification and characterization ofin situprostate cancer. Lesion detection relies on a systematic approach to the analysis of both anatomic and functional imaging using established criteria for the delineation of suspicious areas. Staging includes visual and functional analysis of the prostate “capsule” to determine ifin situdisease is, in fact, organ-confined, as well as the evaluation of pelvic structures including lymph nodes and bones for the detection of metastasis. Although intertwined, the protocol can be optimized depending on whether lesiondetectionorstagingis of the highest priority.


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