| Chapter title |
Biobanking for Personalized Medicine
|
|---|---|
| Chapter number | 5 |
| Book title |
Biobanking in the 21st Century
|
| Published in |
Advances in experimental medicine and biology, January 2015
|
| DOI | 10.1007/978-3-319-20579-3_5 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-920578-6, 978-3-31-920579-3
|
| Authors |
Angen Liu, Kai Pollard, Liu, Angen, Pollard, Kai |
| Abstract |
A biobank is an entity that collects, processes, stores, and distributes biospecimens and relevant data for use in basic, translational, and clinical research. Biobanking of high-quality human biospecimens such as tissue, blood and other bodily fluids along with associated patient clinical information provides a fundamental scientific infrastructure for personalized medicine. Identification of biomarkers that are specifically associated with particular medical conditions such as cancer, cardiovascular disease and neurological disorders are useful for early detection, prevention, and treatment of the diseases. The ability to determine individual tumor biomarkers and to use those biomarkers for disease diagnosis, prognosis and prediction of response to therapy is having a very significant impact on personalized medicine and is rapidly changing the way clinical care is conducted. As a critical requirement for personalized medicine is the availability of a large collection of patient samples with well annotated patient clinical and pathological data, biobanks thus play an important role in personalized medicine advancement. The goal of this chapter is to explore the role of biobanks in personalized medicine and discuss specific needs regarding biobank development for translational and clinical research, especially for personalized medicine advancement. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 64 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 5 | 8% |
| Other | 3 | 5% |
| Other | 6 | 9% |
| Unknown | 21 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 15% |
| Computer Science | 8 | 12% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Chemical Engineering | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 28 | 43% |