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Prostate Cancer and Prostatic Diseases
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December 10, 2003
p53 Immunostaining guided laser capture microdissection (p53-LCM) defines the presence of p53 gene mutations in focal regions of primary prostate cancer positive for p53 protein
G L Griewe, R C Dean, W Zhang, et al.
Cancer
|
July 1, 1997
Comparison of serum prostate specific membrane antigen, prostate specific antigen, and free prostate specific antigen levels in radical prostatectomy patients
T H Douglas, T O Morgan, D G McLeod, et al.
Studies in Health Technology and Informatics
|
September 8, 2000
Investigating 3D tumor distribution for optimized diagnosis of prostate cancer
J Zeng, J J Bauer, X Yao, et al.
Cancer Research
|
June 5, 2001
Vitamin D receptor gene polymorphisms, insulin-like growth factors, and prostate cancer risk: a population-based case-control study in China
A P Chokkalingam, K A McGlynn, Y T Gao, et al.
Cancer Research
|
October 4, 2000
Polymorphic CAG and GGN repeat lengths in the androgen receptor gene and prostate cancer risk: a population-based case-control study in China
A W Hsing, Y T Gao, G Wu, et al.
The Prostate
|
July 1, 1995
Pathology review in an early prostate cancer detection program: results from the American Cancer Society-National Prostate Cancer Detection Project
F K Mostofi, G P Murphy, C Mettlin, et al.
Prostate Cancer and Prostatic Diseases
|
July 15, 2009
Quantitative expression of TMPRSS2 transcript in prostate tumor cells reflects TMPRSS2-ERG fusion status
K Mwamukonda, Y Chen, L Ravindranath, et al.
Prostate Cancer and Prostatic Diseases
|
October 19, 2005
Quantitative expression profile of PSGR in prostate cancer
L L Xu, C Sun, G Petrovics, et al.
The Prostate
|
February 15, 1997
Mutations of the p16 gene product are rare in prostate cancer
J P Gaddipati, D G McLeod, I A Sesterhenn, et al.
Prostate Cancer and Prostatic Diseases
|
December 24, 2002
Investigating the distribution of prostate cancer using three-dimensional computer simulation
M B Opell, J Zeng, J J Bauer, et al.
Page
of 11
Search research articles
Search
Showing results (81-90 of 103) with videos related to
Sort By:
Page
of 11
Prostate Cancer and Prostatic Diseases
|
December 10, 2003
p53 Immunostaining guided laser capture microdissection (p53-LCM) defines the presence of p53 gene mutations in focal regions of primary prostate cancer positive for p53 protein
G L Griewe, R C Dean, W Zhang, et al.
Cancer
|
July 1, 1997
Comparison of serum prostate specific membrane antigen, prostate specific antigen, and free prostate specific antigen levels in radical prostatectomy patients
T H Douglas, T O Morgan, D G McLeod, et al.
Studies in Health Technology and Informatics
|
September 8, 2000
Investigating 3D tumor distribution for optimized diagnosis of prostate cancer
J Zeng, J J Bauer, X Yao, et al.
Cancer Research
|
June 5, 2001
Vitamin D receptor gene polymorphisms, insulin-like growth factors, and prostate cancer risk: a population-based case-control study in China
A P Chokkalingam, K A McGlynn, Y T Gao, et al.
Cancer Research
|
October 4, 2000
Polymorphic CAG and GGN repeat lengths in the androgen receptor gene and prostate cancer risk: a population-based case-control study in China
A W Hsing, Y T Gao, G Wu, et al.
The Prostate
|
July 1, 1995
Pathology review in an early prostate cancer detection program: results from the American Cancer Society-National Prostate Cancer Detection Project
F K Mostofi, G P Murphy, C Mettlin, et al.
Prostate Cancer and Prostatic Diseases
|
July 15, 2009
Quantitative expression of TMPRSS2 transcript in prostate tumor cells reflects TMPRSS2-ERG fusion status
K Mwamukonda, Y Chen, L Ravindranath, et al.
Prostate Cancer and Prostatic Diseases
|
October 19, 2005
Quantitative expression profile of PSGR in prostate cancer
L L Xu, C Sun, G Petrovics, et al.
The Prostate
|
February 15, 1997
Mutations of the p16 gene product are rare in prostate cancer
J P Gaddipati, D G McLeod, I A Sesterhenn, et al.
Prostate Cancer and Prostatic Diseases
|
December 24, 2002
Investigating the distribution of prostate cancer using three-dimensional computer simulation
M B Opell, J Zeng, J J Bauer, et al.
Page
of 11