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Identifi cation of profi les of genetic markers that best predict pain treatment responses.<br />
Expected results<br />
• Identifi cation of profi les of genetic markers that best<br />
predict pain treatment responses, with specifi c emphasis<br />
on opioids.<br />
• Increased understanding of the molecular basis for<br />
cachexia and identifi cation of genetic factors that may<br />
predict patients at particular risk.<br />
• Increased understanding of the value of serum parameters<br />
as an indicator of pain response.<br />
• Better methods for classifi cation and assessment of<br />
pain, depression and cachexia in palliative care.<br />
• International European-adopted and agreed clinical<br />
guidelines for classifi cation, assessment and treatment<br />
of pain, depression and cachexia in palliative care.<br />
• Guidelines available and regularly updated on the EPCRC<br />
website, the EAPC (European Association for Palliative<br />
Care) website, and other relevant websites.<br />
• Guidelines translated and disseminated in relevant<br />
European languages.<br />
Potential applications<br />
The aim of the EPCRC is to have the guidelines disseminated<br />
and universally accepted within the palliative care<br />
community in Europe, both in clinical work and research.<br />
CANCER CONTROL, SURVIVORSHIP AND OUTCOMES RESEARCH<br />
Coordinator<br />
Stein Kaasa<br />
Norwegian University of Science<br />
and Technology<br />
Trondheim, Norway<br />
Stein.Kaasa@ntnu.no<br />
Partners<br />
Geoffrey Hanks<br />
University of Bristol<br />
Bristol, United Kingdom<br />
Franco De Conno<br />
Fondazione IRCCS Istituto Nazionale<br />
dei Tumori<br />
Milan, Italy<br />
Irene Higginson<br />
King’s College London<br />
London, United Kingdom<br />
Florian Strasser<br />
Spitalregion St. Gallen Rorschach<br />
Kantonsspital<br />
St. Gallen, Switzerland<br />
Project number<br />
LSHC-CT-2006-037777<br />
EC contribution<br />
€ 2 799 910<br />
Duration<br />
36 months<br />
Starting date<br />
01/11/2006<br />
Instrument<br />
STREP<br />
Project website<br />
www.EPCRC.org<br />
Lukas Radbruch<br />
Rheinisch-Westfälische Technische<br />
Hochschule Aachen<br />
Aachen, Germany<br />
Kenneth Fearon<br />
University of Edinburgh<br />
Edinburgh, United Kingdom<br />
Hellmut Samonigg<br />
Medical University of Graz<br />
Graz, Austria<br />
Ketil Bø<br />
Trollhetta AS<br />
Trondheim, Norway<br />
Michael Schaude<br />
Bender MedSystems<br />
Vienna, Austria<br />
Odd Erik Gundersen<br />
Volve AS<br />
Trondeim, Norway<br />
oddenk@volve.no<br />
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