60
Views
3
CrossRef citations to date
0
Altmetric
Review

Genomic predictors of prostate cancer therapy outcomes

, &
Pages 619-636 | Published online: 09 Jan 2014
 

Abstract

Although numerous attempts have been made to forecast outcomes for prostate cancer after therapy using clinical and histological variables, the ability to accurately predict an individual’s response to a specific treatment remains elusive. Recently, major advances in the field of genomics have made possible the near-comprehensive assessment of the genetic status of tumor genomes, with major concentration on predicting an individual’s response to a specific treatment. Genomic approaches to treatment response include, but are not limited to, detection of gene rearrangements, DNA copy-number aberrations, single-nucleotide polymorphisms, epigenetic changes and differential gene-expression patterns. These approaches have been used to predict response to treatment for local and systemic disease in multiple small cohorts. Further study with larger cohorts and longer follow-up should result in more concordance among genomic approaches, and will enable physicians to gain insight into the heterogeneity of supposedly ‘similar’ cancers and help tailor treatments accordingly.

Financial & competing interests disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of this manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 706.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.