Biobanking for interdisciplinary clinical research
Biobanking for interdisciplinary clinical research
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DOI：
10.1159/000104451
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发表时间：
2007-01-01
期刊：
影响因子：
5
通讯作者：
Oosterhuis, J. W.
中科院分区：
文献类型：
--
作者：
Riegman, P. H. J.;Dinjens, W. N. M.;Oosterhuis, J. W.
如今，生物库主要由负责生物库的研究小组的具体目标决定，确定他们自己的样本收集和注释标准。通常需要很长一段时间来建立样本和数据收集，尤其是在需要长期随访数据时。这些收藏品需要长期投入和适当的资金。忽略样本编号或注释可能导致结果不显著或较差。然而，翻译研究的结果并不仅仅取决于样本的质量。在许多情况下，还可以改进在由临床医生组成的多学科团队中开始实验设计，包括病理学家，分子生物学家，统计学家，生物信息学家和组织资源管理员。这样一个小组能够仔细评估所需的数量以及应包括哪些样本或样本的哪一部分，可以帮助获得更好的结果。许多临床研究可以更有效地受益于保存完好的疾病导向组织样本集合中存储的丰富信息，并附有适当的注释，当生物库和新集合建立的基础设施组织良好，标准化和精简时。未来的医学研究将完善其科学问题，要求进一步完善相应的临床信息。此外，需要更大的样本收集来研究例如多因素疾病。今天，收集样本是为了明天，因此，现在需要改进标准化，自动丰富医院信息系统和疾病登记处的注释，深入了解不同形式的组织库的重叠收集以及国家和国际网络的合作。
Biobanking nowadays is mostly strongly determined by the specific aims of a research group in charge of the biobank, determining their own standards for the collection and annotation of samples. Often a long period is needed to build up the sample and data collections, especially when long-term follow-up data is required. Such collections need a long-term dedication and proper funding. Neglecting either sample number or annotation can result in insignificant or poor results. However, outcome of translational research does not only depend on the sample quality. In many cases it can also be improved to start the experimental design within a multidisciplinary team composed of clinicians including pathologists, molecular biologists, statisticians, bioinformaticians and tissue resource managers. Such a team, capable of careful evaluation of the numbers needed and which or what part of the samples are to be included, could help in obtaining far better results. Many lines of clinical research could benefit more efficiently from the wealth of information stored in well-preserved disease-oriented tissue sample collections with the proper annotations, when the infrastructure around biobanks and new collection build-up is well organized, standardized and streamlined. Future medical research will refine its scientific questions, demanding even further refinement of corresponding clinical information. In addition, larger sample collections are needed to study for instance multifactorial diseases. Today, the samples are collected for tomorrow, therefore, improvement is needed now in standardization, automated enrichment of annotations from hospital information systems and disease registries, insight in overlapping collections of different forms of tissue banking and cooperation in national and international networks.