| 1
|
Gene expression correlation analysis predicts involvement of high- and low-confidence risk genes in different stages of prostate carcinogenesis
The Prostate.
2010-07-08
.
[Traducción] |
| 2
|
Prostate cancer risk-associated variants reported from genome-wide association studies: Meta-analysis and their contribution to genetic Variation
The Prostate.
2010-07-08
.
[Traducción] |
| 3
|
In silico analysis and DHPLC screening strategy identifies novel apoptotic gene targets of aberrant promoter hypermethylation in prostate cancer
The Prostate.
2010-07-08
.
[Traducción] |
| 4
|
Gene expression correlation analysis predicts involvement of high- and low-confidence risk genes in different stages of prostate carcinogenesis
The Prostate. Yano K – The high–confidence risk genes may be associated with an early stage of prostate carcinogenesis, possibly involving PSCs and squamous metaplasia. The low–confidence genes may be involved in a later stage of carcinogenesis.
2010-07-07
.
[Traducción] |
| 5
|
Prostate cancer risk-associated variants reported from genome-wide association studies: Meta-analysis and their contribution to genetic Variation
The Prostate. Kim ST et al. – This study provides more stable OR estimates for PCa risk–associated SNPs, which is an important baseline for the effect of these SNPs in risk prediction. These SNPs explain a considerable proportion of genetic variance, however, the majority of genetic variance has yet to be explained.
2010-07-07
.
[Traducción] |
| 6
|
In silico analysis and DHPLC screening strategy identifies novel apoptotic gene targets of aberrant promoter hypermethylation in prostate cancer
The Prostate. Murphy TM et al. – The promoters of BIK, BNIP3, cFLIP, TMS1, DCR1, DCR2, and CDKN2A appeared fully or partially methylated in a number of malignant cell lines. This is the first report of aberrant methylation of BIK, BNIP3, and cFLIP in CaP. Quantitative methylation analysis in prostate tissues identified 5 genes (BNIP3, CDKN2A, DCR1, DCR2 and TMS1) which were frequently methylated in tumors but were unmethylated in 100% of benign tissues.
2010-07-07
.
[Traducción] |
| 7
|
Contribution of HPC1 (RNASEL) and HPCX variants to prostate cancer in a founder population
The Prostate. Agalliu I et al. – Results suggest that variants in RNASEL contribute to susceptibility to early onset and familial forms of prostate cancer, whereas HPCX variants are associated with prostate cancer risk and tumor aggressiveness. The observation that a mutation predicted to completely inactivate RNASEL protein was not associated with prostate cancer, but that a missense variant was associated, suggests that the effect is due to either partial inactivation of the protein, and/or acquisition of a new protein activity.
2010-07-07
.
[Traducción] |
| 8
|
Changes in caveolae, caveolin, and polymerase 1 and transcript release factor (PTRF) expression in prostate cancer progression
The Prostate. Gould ML et al. – This study demonstrates that changes in the cell membrane involving loss of caveolae and PTRF expression occur with the development of prostate cancer. These changes are accompanied by an up–regulation of caveolin–2.
2010-07-07
.
[Traducción] |
| 9
|
Gene expression correlation analysis predicts involvement of high- and low-confidence risk genes in different stages of prostate carcinogenesis
The Prostate. Yano K – The high–confidence risk genes may be associated with an early stage of prostate carcinogenesis, possibly involving PSCs and squamous metaplasia. The low–confidence genes may be involved in a later stage of carcinogenesis.
2010-07-06
.
[Traducción] |
| 10
|
Prostate cancer risk-associated variants reported from genome-wide association studies: Meta-analysis and their contribution to genetic Variation
The Prostate. Kim ST et al. – This study provides more stable OR estimates for PCa risk–associated SNPs, which is an important baseline for the effect of these SNPs in risk prediction. These SNPs explain a considerable proportion of genetic variance, however, the majority of genetic variance has yet to be explained.
2010-07-06
.
[Traducción] |
| 11
|
In silico analysis and DHPLC screening strategy identifies novel apoptotic gene targets of aberrant promoter hypermethylation in prostate cancer
The Prostate. Murphy TM et al. – The promoters of BIK, BNIP3, cFLIP, TMS1, DCR1, DCR2, and CDKN2A appeared fully or partially methylated in a number of malignant cell lines. This is the first report of aberrant methylation of BIK, BNIP3, and cFLIP in CaP. Quantitative methylation analysis in prostate tissues identified 5 genes (BNIP3, CDKN2A, DCR1, DCR2 and TMS1) which were frequently methylated in tumors but were unmethylated in 100% of benign tissues.
2010-07-06
.
[Traducción] |
| 12
|
Contribution of HPC1 (RNASEL) and HPCX variants to prostate cancer in a founder population
The Prostate. Agalliu I et al. – Results suggest that variants in RNASEL contribute to susceptibility to early onset and familial forms of prostate cancer, whereas HPCX variants are associated with prostate cancer risk and tumor aggressiveness. The observation that a mutation predicted to completely inactivate RNASEL protein was not associated with prostate cancer, but that a missense variant was associated, suggests that the effect is due to either partial inactivation of the protein, and/or acquisition of a new protein activity.
2010-07-06
.
[Traducción] |
| 13
|
Changes in caveolae, caveolin, and polymerase 1 and transcript release factor (PTRF) expression in prostate cancer progression
The Prostate. Gould ML et al. – This study demonstrates that changes in the cell membrane involving loss of caveolae and PTRF expression occur with the development of prostate cancer. These changes are accompanied by an up–regulation of caveolin–2.
2010-07-06
.
[Traducción] |
| 14
|
Slug inhibits proliferation of human prostate cancer cells via downregulation of cyclin D1 expression
The Prostate. Liu J et al. – the authors provide the first compelling evidence that Slug is a negative regulator of proliferation of prostate cancer cells. The findings in this study are distinct from the previously reported role of Slug as a promoter for tumor metastasis, and suggest that Slug is a prognostic marker and potential therapeutic target.
2010-07-06
.
[Traducción] |
| 15
|
New prospective for non-invasive detection, grading, size evaluation, and tumor location of prostate cancer
The Prostate. Cortesi M et al. – Zinc depletion in the prostate peripheral zone is the basis for a novel, non–invasive PCa detection, localization, volume evaluation and grading method. Its realization and application as a pre–biopsy and pre–treatment examination, or a follow–up tool, relies on the development of a dedicated transrectal probe. It should have significant impact on biopsy effectiveness, point at a possible extraprostatic extension and provide critical data for focal treatment. The information on tumor grade and distribution may have an important impact on disease management.
2010-07-06
.
[Traducción] |
| 16
|
The relationship between adiposity and gleason score in men with localized prostate cancer
The Prostate. Hack EE et al. – With a possible exception in younger men, elevated BMI at the time of diagnosis does not appear to be associated with aspects of aggressive behavior associated with Gleason grade. The effect of adiposity on prostate cancer outcome is complex, requiring further study that includes attention to factors such as length of exposure, concomitant co–morbidities, and ethnicity.
2010-07-06
.
[Traducción] |
| 17
|
The relationship between proangiogenic gene expression levels in prostate cancer and their prognostic value for clinical outcomes
The Prostate. Mori R et al. – Significant correlation was noted among AR, HIF1a, VEGF–A, and VEGF–C. This study shows that ADT is associated with lower HIF1a gene expression in human prostate cancer tissue and documents prognostic value for VEGF–A and VEGF–C expression levels.
2010-07-06
.
[Traducción] |
| 18
|
Relationship between three polymorphisms of methylenetetrahydrofolate reductase (MTHFR C677T, A1298C, and G1793A) gene and risk of prostate cancer
The Prostate. Safarinejad MR et al. – These data suggest that all three MTHFR polymorphisms may play a pivotal role in the developing prostate cancer. Larger studies in different ethnic populations and incorporating dietary folate intake are needed to replicate the findings.
2010-07-06
.
[Traducción] |
| 19
|
Gene expression correlation analysis predicts involvement of high- and low-confidence risk genes in different stages of prostate carcinogenesis
The Prostate. Yano K – The high–confidence risk genes may be associated with an early stage of prostate carcinogenesis, possibly involving PSCs and squamous metaplasia. The low–confidence genes may be involved in a later stage of carcinogenesis.
2010-07-05
.
[Traducción] |
| 20
|
Prostate cancer risk-associated variants reported from genome-wide association studies: Meta-analysis and their contribution to genetic Variation
The Prostate. Kim ST et al. – This study provides more stable OR estimates for PCa risk–associated SNPs, which is an important baseline for the effect of these SNPs in risk prediction. These SNPs explain a considerable proportion of genetic variance, however, the majority of genetic variance has yet to be explained.
2010-07-05
.
[Traducción] |
| 21
|
In silico analysis and DHPLC screening strategy identifies novel apoptotic gene targets of aberrant promoter hypermethylation in prostate cancer
The Prostate. Murphy TM et al. – The promoters of BIK, BNIP3, cFLIP, TMS1, DCR1, DCR2, and CDKN2A appeared fully or partially methylated in a number of malignant cell lines. This is the first report of aberrant methylation of BIK, BNIP3, and cFLIP in CaP. Quantitative methylation analysis in prostate tissues identified 5 genes (BNIP3, CDKN2A, DCR1, DCR2 and TMS1) which were frequently methylated in tumors but were unmethylated in 100% of benign tissues.
2010-07-05
.
[Traducción] |
| 22
|
Contribution of HPC1 (RNASEL) and HPCX variants to prostate cancer in a founder population
The Prostate. Agalliu I et al. – Results suggest that variants in RNASEL contribute to susceptibility to early onset and familial forms of prostate cancer, whereas HPCX variants are associated with prostate cancer risk and tumor aggressiveness. The observation that a mutation predicted to completely inactivate RNASEL protein was not associated with prostate cancer, but that a missense variant was associated, suggests that the effect is due to either partial inactivation of the protein, and/or acquisition of a new protein activity.
2010-07-05
.
[Traducción] |
| 23
|
Changes in caveolae, caveolin, and polymerase 1 and transcript release factor (PTRF) expression in prostate cancer progression
The Prostate. Gould ML et al. – This study demonstrates that changes in the cell membrane involving loss of caveolae and PTRF expression occur with the development of prostate cancer. These changes are accompanied by an up–regulation of caveolin–2.
2010-07-05
.
[Traducción] |
| 24
|
Slug inhibits proliferation of human prostate cancer cells via downregulation of cyclin D1 expression
The Prostate. Liu J et al. – the authors provide the first compelling evidence that Slug is a negative regulator of proliferation of prostate cancer cells. The findings in this study are distinct from the previously reported role of Slug as a promoter for tumor metastasis, and suggest that Slug is a prognostic marker and potential therapeutic target.
2010-07-05
.
[Traducción] |
| 25
|
New prospective for non-invasive detection, grading, size evaluation, and tumor location of prostate cancer
The Prostate. Cortesi M et al. – Zinc depletion in the prostate peripheral zone is the basis for a novel, non–invasive PCa detection, localization, volume evaluation and grading method. Its realization and application as a pre–biopsy and pre–treatment examination, or a follow–up tool, relies on the development of a dedicated transrectal probe. It should have significant impact on biopsy effectiveness, point at a possible extraprostatic extension and provide critical data for focal treatment. The information on tumor grade and distribution may have an important impact on disease management.
2010-07-05
.
[Traducción] |
