2018
DOI: 10.1016/j.urolonc.2018.02.017
|View full text |Cite
|
Sign up to set email alerts
|

The evolution of bladder cancer genomics: What have we learned and how can we use it?

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
84
0
3

Year Published

2018
2018
2024
2024

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 85 publications
(87 citation statements)
references
References 50 publications
0
84
0
3
Order By: Relevance
“…Molecular data from TCGA BLCA cohort can be considered representative of invasive BLCA and serve as a valuable resource to validate prognostic biomarkers . Next‐generation sequencing can identify potential targets in bladder cancer for predictive value and personalized therapy . Our research selected nine different algorithms based on the above principles to identify potential driver genes of bladder cancer based on DNA sequencing data from the TCGA‐BLCA Project.…”
Section: Introductionmentioning
confidence: 99%
“…Molecular data from TCGA BLCA cohort can be considered representative of invasive BLCA and serve as a valuable resource to validate prognostic biomarkers . Next‐generation sequencing can identify potential targets in bladder cancer for predictive value and personalized therapy . Our research selected nine different algorithms based on the above principles to identify potential driver genes of bladder cancer based on DNA sequencing data from the TCGA‐BLCA Project.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of molecular biology approaches, the processes of urothelial carcinoma pathogenesis have been widely and deeply explored. We have classi ed bladder cancer by gene sequencing and comprehensive pro ling of RNA expression and have used DNA sequencing results from biopsy to understand survival distributions and prognostic factors [53][54][55]. This new understanding of heterogeneous diseases such as UT-UUC and bladder cancer can lead to improved outcomes and quality of life through better-customized treatments.…”
Section: Discussionmentioning
confidence: 99%
“…In recent times, the wide-spreading technology of gene testing may allow to predict organs that are likely to metastasize. Genome-based molecular is one of the potential biomarkers for phenotype classification [ 46 49 ]. The basal type of MIBC is associated with worse disease-specific and OS due to its highly invasive and metastatic potential [ 46 ].…”
Section: Risk Factors For Symptomatic Recurrencementioning
confidence: 99%