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Personalizing pancreatic cancer medicine: what are the challenges?

Danielsson, Krissi ; Ansari, Daniel LU and Andersson, Roland LU (2013) In Personalized Medicine 10(1). p.45-59
Abstract
The P4 paradigm for future medicine promises changes in cancer management with improved Prediction of treatment response, Prevention of disease, Personalization of therapy, and Participation by patients. Significant challenges remain for the implementation of the P4 principles for pancreatic cancer, but many strides have been made in the past several years that should facilitate a future in which the disease can be detected at earlier stages and treatments can be customized to target features of a particular patient's disease. This article summarizes the basic molecular biology of pancreatic tumors and the current state of pancreatic cancer treatment, as well as targeted treatments in the pipeline that might enable future personalized... (More)
The P4 paradigm for future medicine promises changes in cancer management with improved Prediction of treatment response, Prevention of disease, Personalization of therapy, and Participation by patients. Significant challenges remain for the implementation of the P4 principles for pancreatic cancer, but many strides have been made in the past several years that should facilitate a future in which the disease can be detected at earlier stages and treatments can be customized to target features of a particular patient's disease. This article summarizes the basic molecular biology of pancreatic tumors and the current state of pancreatic cancer treatment, as well as targeted treatments in the pipeline that might enable future personalized pancreatic cancer treatment and prediction of response to treatment. It also discusses possible directions for screening patients at high risk of developing the disease, detecting tumors at earlier stages, and increasing patient involvement in designing treatment. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
biomarkers, P4, pancreatic cancer, personalized medicine
in
Personalized Medicine
volume
10
issue
1
pages
45 - 59
publisher
Future Science
external identifiers
  • wos:000316797400011
  • scopus:84871424449
ISSN
1744-828X
DOI
10.2217/PME.12.111
language
English
LU publication?
yes
id
0fc51c7e-77d1-4aba-bacd-9936539b6ce9 (old id 3749556)
date added to LUP
2016-04-01 10:47:03
date last changed
2022-01-26 02:26:53
@article{0fc51c7e-77d1-4aba-bacd-9936539b6ce9,
  abstract     = {{The P4 paradigm for future medicine promises changes in cancer management with improved Prediction of treatment response, Prevention of disease, Personalization of therapy, and Participation by patients. Significant challenges remain for the implementation of the P4 principles for pancreatic cancer, but many strides have been made in the past several years that should facilitate a future in which the disease can be detected at earlier stages and treatments can be customized to target features of a particular patient's disease. This article summarizes the basic molecular biology of pancreatic tumors and the current state of pancreatic cancer treatment, as well as targeted treatments in the pipeline that might enable future personalized pancreatic cancer treatment and prediction of response to treatment. It also discusses possible directions for screening patients at high risk of developing the disease, detecting tumors at earlier stages, and increasing patient involvement in designing treatment.}},
  author       = {{Danielsson, Krissi and Ansari, Daniel and Andersson, Roland}},
  issn         = {{1744-828X}},
  keywords     = {{biomarkers; P4; pancreatic cancer; personalized medicine}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{45--59}},
  publisher    = {{Future Science}},
  series       = {{Personalized Medicine}},
  title        = {{Personalizing pancreatic cancer medicine: what are the challenges?}},
  url          = {{http://dx.doi.org/10.2217/PME.12.111}},
  doi          = {{10.2217/PME.12.111}},
  volume       = {{10}},
  year         = {{2013}},
}