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Identification of plasma protein profiles associated with risk groups of prostate cancer patients.

Nordström, Malin LU ; Wingren, Christer ; Rose, Carsten LU ; Bjartell, Anders LU ; Becker, Charlotte LU ; Lilja, Hans LU orcid and Borrebaeck, Carl A K (2014) In Proteomics Clinical Applications 8(11-12). p.951-962
Abstract
Early detection of prostate cancer (PC) using prostate-specific antigen (PSA) in blood reduces PC-death among unscreened men. However, due to modest specificity of PSA at commonly used cut-offs, there are urgent needs for additional biomarkers contributing enhanced risk classification among men with modestly elevated PSA.
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Proteomics Clinical Applications
volume
8
issue
11-12
pages
951 - 962
publisher
John Wiley & Sons Inc.
external identifiers
  • pmid:25196118
  • wos:000345827300014
  • scopus:84912525045
  • pmid:25196118
ISSN
1862-8354
DOI
10.1002/prca.201300059
language
English
LU publication?
yes
id
273a1e2f-bf85-4b4f-b55b-e3304cd7b069 (old id 4692108)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/25196118?dopt=Abstract
date added to LUP
2016-04-01 10:55:37
date last changed
2021-10-06 04:40:37
@article{273a1e2f-bf85-4b4f-b55b-e3304cd7b069,
  abstract     = {Early detection of prostate cancer (PC) using prostate-specific antigen (PSA) in blood reduces PC-death among unscreened men. However, due to modest specificity of PSA at commonly used cut-offs, there are urgent needs for additional biomarkers contributing enhanced risk classification among men with modestly elevated PSA.},
  author       = {Nordström, Malin and Wingren, Christer and Rose, Carsten and Bjartell, Anders and Becker, Charlotte and Lilja, Hans and Borrebaeck, Carl A K},
  issn         = {1862-8354},
  language     = {eng},
  number       = {11-12},
  pages        = {951--962},
  publisher    = {John Wiley & Sons Inc.},
  series       = {Proteomics Clinical Applications},
  title        = {Identification of plasma protein profiles associated with risk groups of prostate cancer patients.},
  url          = {https://lup.lub.lu.se/search/files/2243011/5305713},
  doi          = {10.1002/prca.201300059},
  volume       = {8},
  year         = {2014},
}