scholarly journals Survival analysis of recurrent events on prostate cancer: facts from cancer genome

2018 ◽  
Vol 51 (2) ◽  
pp. 145-164
Author(s):  
Farhin Rahman ◽  
Munni Begum

Many diseases and clinical outcomes may recur to the same patient. These events are termed as recurrent events. Several statistical models have been proposed in the literature to analyze recurrent events. In this study, we identify the clinical and the genetic risk factors for recurring tumors among prostate cancer patients from The Cancer Genome Atlas (TCGA). Five statistical approaches for modeling recurrent time-to-event are implemented to identify and to determine the effects of the clinical and the genetic risk factors of tumor recurrence. In particular, we consider Andersen-Gill (A-G), Wei-Lin-Weissfeld (WLW), Prentice-Williams-Peterson Total Time (PWP-TT), Prentice-Williams-Peterson Gap Time (PWPGT) and Frailty models. We present and discuss the risk factors influencing the recurrence of tumors and their impacts in prostate cancer patients obtained from five commonly used models in this paper.

2020 ◽  
Vol 111 (2) ◽  
pp. 687-699 ◽  
Author(s):  
Takeshi Nagashima ◽  
Ken Yamaguchi ◽  
Kenichi Urakami ◽  
Yuji Shimoda ◽  
Sumiko Ohnami ◽  
...  

2014 ◽  
Vol 41 (4) ◽  
pp. 2501-2508 ◽  
Author(s):  
Khamsigan Munretnam ◽  
Livy Alex ◽  
Nurul Hanis Ramzi ◽  
Jagdish Kaur Chahil ◽  
I. S. Kavitha ◽  
...  

2015 ◽  
Vol 152 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Christof Vulsteke ◽  
Alena M. Pfeil ◽  
Charlotte Maggen ◽  
Matthias Schwenkglenks ◽  
Ruth Pettengell ◽  
...  

2021 ◽  
Vol 15 (1) ◽  
pp. 29-41
Author(s):  
Peng Qiao ◽  
Di Zhang ◽  
Song Zeng ◽  
Yicun Wang ◽  
Biao Wang ◽  
...  

Aim: This study aims to identify novel marker to predict biochemical recurrence (BCR) in prostate cancer patients after radical prostatectomy with negative surgical margin. Materials & methods: The Cancer Genome Atlas database, Gene Expression Omnibus database and Cancer Cell Line Encyclopedia database were employed. The ensemble support vector machine-recursive feature elimination method was performed to select crucial gene for BCR. Results: We identified MYLK as a novel and independent biomarker for BCR in The Cancer Genome Atlas training cohort and confirmed in four independent Gene Expression Omnibus validation cohorts. Multi-omic analysis suggested that MYLK was a DNA methylation-driven gene. Additionally, MYLK had significant positive correlations with immune infiltrations. Conclusion: MYLK was identified and validated as a novel, robust and independent biomarker for BCR in prostate cancer.


2015 ◽  
Vol 25 (5) ◽  
pp. 766-772 ◽  
Author(s):  
Ethan M. Lange ◽  
Jessica V. Ribado ◽  
Kimberly A. Zuhlke ◽  
Anna M. Johnson ◽  
Gregory R. Keele ◽  
...  

2008 ◽  
Vol 11 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Michelle Guy ◽  
Zsofia Kote-Jarai ◽  
Graham G. Giles ◽  
Ali Amin Al Olama ◽  
Sarah K. Jugurnauth ◽  
...  

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