Biobanking and Support for Personalized Medicine: A Model for Success?
Frommelt, Cynthia (2014)
2014
Master's Degree Programme in Biomedical Engineering
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
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Hyväksymispäivämäärä
2014-06-04
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201406061262
https://urn.fi/URN:NBN:fi:tty-201406061262
Tiivistelmä
Personalized medicine is the natural evolution of medicine. More specific descriptions of diseases and more precise characterization of patients are said to make it possible to administer better treatment.
In this process towards more effective personalized medicine, biobanking could play a crucial role. It could allow for storing a large number of high quality biosamples linked to personal and medical data of the sample donor. The stored material can be retrieved and used in research to detect actionable defining molecular characteristics to classify patients in subgroups for certain diseases. Once proven in a clinical setting, these molecular characteristics can be used to enable more effective targeted prevention, diagnosis, and therapy.
The triangle model which is proposed in this thesis shall provide a guideline for biobanking and research to better support personalized medicine. It consists of three components – public, biobank, and research component – each with its respective subcomponents.
Parts of the triangle model have been discussed in recent literature but some key issues have not been addressed yet. These missing points are extracted in this work and include: 1) the availability of a complete governance plan, 2) proper standards for documentation and tracking of samples for quality control, 3) the use of electronic forms, and 4) proper standards for reporting in scientific journals.
A guideline as provided by the triangle model would be useful for biobanking to become a model for success for the support of personalized medicine. However, due to the relevance of the topic, new findings and developments are made continuously. Therefore, only time will tell if biobanking and research do indeed support personalized medicine.
In this process towards more effective personalized medicine, biobanking could play a crucial role. It could allow for storing a large number of high quality biosamples linked to personal and medical data of the sample donor. The stored material can be retrieved and used in research to detect actionable defining molecular characteristics to classify patients in subgroups for certain diseases. Once proven in a clinical setting, these molecular characteristics can be used to enable more effective targeted prevention, diagnosis, and therapy.
The triangle model which is proposed in this thesis shall provide a guideline for biobanking and research to better support personalized medicine. It consists of three components – public, biobank, and research component – each with its respective subcomponents.
Parts of the triangle model have been discussed in recent literature but some key issues have not been addressed yet. These missing points are extracted in this work and include: 1) the availability of a complete governance plan, 2) proper standards for documentation and tracking of samples for quality control, 3) the use of electronic forms, and 4) proper standards for reporting in scientific journals.
A guideline as provided by the triangle model would be useful for biobanking to become a model for success for the support of personalized medicine. However, due to the relevance of the topic, new findings and developments are made continuously. Therefore, only time will tell if biobanking and research do indeed support personalized medicine.