| Autor: |
Marko-Varga G; Respiratory Biological Sciences, AstraZeneca R&D Lund, SE-221 87 Lund, Sweden., Ogiwara A, Nishimura T, Kawamura T, Fujii K, Kawakami T, Kyono Y, Tu HK, Anyoji H, Kanazawa M, Akimoto S, Hirano T, Tsuboi M, Nishio K, Hada S, Jiang H, Fukuoka M, Nakata K, Nishiwaki Y, Kunito H, Peers IS, Harbron CG, South MC, Higenbottam T, Nyberg F, Kudoh S, Kato H |
| Jazyk: |
angličtina |
| Zdroj: |
Journal of proteome research [J Proteome Res] 2007 Aug; Vol. 6 (8), pp. 2925-35. Date of Electronic Publication: 2007 Jul 17. |
| DOI: |
10.1021/pr070046s |
| Abstrakt: |
Personalized medicine allows the selection of treatments best suited to an individual patient and disease phenotype. To implement personalized medicine, effective tests predictive of response to treatment or susceptibility to adverse events are needed, and to develop a personalized medicine test, both high quality samples and reliable data are required. We review key features of state-of-the-art proteomic profiling and introduce further analytic developments to build a proteomic toolkit for use in personalized medicine approaches. The combination of novel analytical approaches in proteomic data generation, alignment and comparison permit translation of identified biomarkers into practical assays. We further propose an expanded statistical analysis to understand the sources of variability between individuals in terms of both protein expression and clinical variables and utilize this understanding in a predictive test. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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