Can the core length involved with prostate cancer identify clinically insignificant disease in low risk patients diagnosed on the basis of a single positive core?

2003 ◽  
Vol 21 (2) ◽  
pp. 123-127 ◽  
Author(s):  
Andrew K. Lee ◽  
Tatiana Doytchinova ◽  
Ming-Hui Chen ◽  
Andrew A. Renshaw ◽  
Michael Weinstein ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Low Risk ◽  
The Core ◽  
Core Length ◽  
Positive Core ◽  
Single Positive ◽  
Risk Patients

scholarly journals Can Single Positive Core Prostate Cancer at biopsy be Considered a Low-Risk Disease after Radical Prostatectomy?

2013 ◽  
Vol 39 (6) ◽  
pp. 800-807 ◽  
Author(s):  
Ricardo Kupka da Silva ◽  
Marcos Francisco Dall'oglio ◽  
Alexandre Crippa Sant'ana ◽  
Jose Pontes Junior ◽  
Miguel Srougi
Keyword(s):  
Prostate Cancer ◽  
Radical Prostatectomy ◽  
Low Risk ◽  
Positive Core ◽  
Single Positive

Can single positive core prostate cancer at biopsy be considered a low-risk disease?

2018 ◽  
Vol 50 (10) ◽  
pp. 1829-1833
Author(s):  
Hayato Yamamoto ◽  
Takuya Koie ◽  
Teppei Ookubo ◽  
Koji Mitsuzuka ◽  
Shintaro Narita ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Low Risk ◽  
Positive Core ◽  
Single Positive

1573: Pathologic Characteristics of Contralateral Prostate Cancer Among Patients with a Single Positive Core Biopsy

2006 ◽  
Vol 175 (4S) ◽  
pp. 507-507 ◽  
Author(s):  
Theodore Barber ◽  
Vaishali Pansare ◽  
Dimitriy Nikolavsky ◽  
J. Edson Pontes ◽  
Wael Sakr ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Core Biopsy ◽  
Positive Core ◽  
Single Positive

Unilateral Prostate Cancer Cannot be Accurately Predicted in Low-Risk Patients

2010 ◽  
Vol 77 (3) ◽  
pp. 784-787 ◽  
Author(s):  
Hendrik Isbarn ◽  
Pierre I. Karakiewicz ◽  
Susanne Vogel ◽  
Claudio Jeldres ◽  
Giovanni Lughezzani ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Low Risk ◽  
Risk Patients

Active surveillance in low-risk patients with prostate cancer: preliminary analysis of predictive factors associating with deferred treatment

2008 ◽  
Vol 26 (15_suppl) ◽  
pp. 16047-16047
Author(s):  
R. Valdagni ◽  
N. Nicolai ◽  
T. Rancati ◽  
S. Stagni ◽  
S. Villa ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Predictive Factors ◽  
Preliminary Analysis ◽  
Low Risk ◽  
Deferred Treatment ◽  
Risk Patients

1483 CORE LENGTH AS A PREDICTOR OF GLEASON SCORE UPGRADING IN MEN DIAGNOSED WITH LOW RISK PROSTATE CANCER BY CONTEMPORARY MULTICORE PROSTATE BIOPSY

2013 ◽  
Vol 189 (4S) ◽  
Author(s):  
Sangchul Lee ◽  
Jung Keun Lee ◽  
Chang Wook Jeong ◽  
Seong Jin Jeong ◽  
Sung Kyu Hong ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Gleason Score ◽  
Prostate Biopsy ◽  
Low Risk ◽  
Core Length ◽  
Risk Prostate Cancer ◽  
Low Risk Prostate Cancer

scholarly journals MP12-03 FAVORABLE INTERMEDIATE-RISK PROSTATE CANCER LEADS TO WORSE SURVIVAL COMPARED TO LOW-RISK PATIENTS DUE TO ADVERSE PATHOLOGY

2018 ◽  
Vol 199 (4S) ◽  
Author(s):  
Hiten Patel ◽  
Mohit Gupta ◽  
Jeffrey Tosoian ◽  
H. Ballentine Carter ◽  
Alan Partin ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Low Risk ◽  
Intermediate Risk ◽  
Risk Prostate Cancer ◽  
Risk Patients

scholarly journals Identification of A Novel Six Autophagy-Related Genes Signature for The Prognostic and A miRNA-Related Autophagy Predictor for Anti-PD-1 Therapy Responses in Prostate Cancer

2020 ◽  
Author(s):  
Lei Wu ◽  
Guojun Yue ◽  
Wen Quan ◽  
Qiong Luo ◽  
Dongxu Peng ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Regression Model ◽  
Risk Group ◽  
Low Risk ◽  
Gene Set Enrichment Analysis ◽  
Differentially Expressed ◽  
Prognostic Signature ◽  
Potential Biomarker ◽  
Risk Patients

Abstract Background: Autophagy is a highly conserved homeostatic process in the human body that is responsible for the elimination of aggregated proteins and damaged organelles. Several autophagy-related genes (ARGs) contribute to the process of tumorigenesis and metastasis of prostate cancer (PCa). Also, miRNAs have been proven to modulate autophagy by targeting some ARGs. However, their potential role in PCa still remains unclear.Methods: An univariate Cox proportional regression model was used to identify 17 ARGs associated with the overall survival (OS) of PCa. Then, a multivariate Cox proportional regression model was used to construct a 6 autophagy-related prognostic genes signature. Patients were divided into low-risk group and high-risk group using the median risk score as a cutoff value. High-risk patients had shorter OS than low-risk patients. Furthermore, the signature was validated by ROC curves. Regarding mRNA and miRNA, 12 differentially expressed miRNAs (DEMs) and 1073 differentially expressed genes (DEGs) were detected via the GEO database. We found that miR-205, one of the DEMs, was negatively regulated the expression of ARG (NKX2-3). Based on STRING analysis results, we found that the NKX2-3 was moderately related to the part of genes among the 6 autophagy-related genes prognostic signature. Further, NKX 2-3 was significantly correlated with OS and some clinical parameters of PCa by cBioProtal. By gene set enrichment analysis (GSEA). Lastly, we demonstrated that the association between NKX2-3 and tumor mutation burden (TMB) and PDCD1 (programmed cell death 1) of PCa.Results: We identified that the six ARGs expression patterns are independent predictors of OS in PCa patients. Furthermore, our results suggest that ARGs and miRNAs are inter-related. MiR-205 was negatively regulated the expression of ARG (NKX2-3). Further analysis demonstrated that NKX2-3 may be a potential biomarker for predicting the efficacy of anti-PD-1 therapy in PCa.Conclusions: The current study may offer a novel autophagy-related prognostic signature and may identify a promising miRNA-ARG pathway for predicting the efficacy of anti-PD-1 therapy in PCa.

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