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通过合作推动创新:脑癌生物样本库临床注释数据集的开发

Driving innovation through collaboration: development of clinical annotation datasets for brain cancer biobanking.

作者信息

Gedye Craig, Sachchithananthan Mythily, Leonard Robyn, Jeffree Rosalind L, Buckland Michael E, Ziegler David S, Graeber Manuel B, Day Bryan W, McDonald Kerrie L, Lasocki Arian, Nowak Anna K

机构信息

Brain Cancer Biobanking Australia, National Health and Medical Research Council Clinical Trials Centre, The University of Sydney, NSW, Australia.

Clinical Research Director, NSW Health Statewide Biobank, Camperdown NSW.

出版信息

Neurooncol Pract. 2020 Jan;7(1):31-37. doi: 10.1093/nop/npz036. Epub 2019 Aug 27.

DOI:10.1093/nop/npz036
PMID:32257282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7104879/
Abstract

BACKGROUND

A key component of cancer research is the availability of clinical samples with appropriately annotated clinical data. Biobanks facilitate research by collecting/storing various types of clinical samples for research. Brain Cancer Biobanking Australia (BCBA) was established to facilitate the networking of brain cancer biobanking operations Australia-wide. Maximizing biospecimen utility in a networked biobanking environment requires the standardization of procedures and data across different sites. The aim of this research was to scope and develop a recommended clinical annotation dataset both for pediatric and adult brain cancer biobanks.

METHODS

A multidisciplinary working group consisting of members from the BCBA Consortium was established to develop clinical dataset recommendations for brain cancer biobanks. A literature search was undertaken to identify any published clinical dataset recommendations for brain cancer biobanks. An audit of data items collected and stored by BCBA member biobanks was also conducted to survey current clinical data collection practices across the BCBA network.

RESULTS

BCBA has developed a clinical annotation dataset recommendation for pediatric and adult brain cancer biobanks. The clinical dataset recommendation has 5 clinical data categories: demographic, clinical and radiological diagnosis and surgery, neuropathological diagnosis, patient treatment, and patient follow-up. The data fields have been categorized into 1 of 3 tiers; , , and This enables biobanks and researchers to prioritize appropriately where resources are limited.

CONCLUSION

This dataset can be used to guide the integration of data from multiple existing biobanks for research studies and for planning prospective brain cancer biobanking activities.

摘要

背景

癌症研究的一个关键组成部分是具备带有适当注释临床数据的临床样本。生物样本库通过收集/存储各类临床样本用于研究来推动研究工作。澳大利亚脑癌生物样本库(BCBA)的设立是为了促进全澳大利亚脑癌生物样本库运作的网络化。在网络化生物样本库环境中最大化生物样本的效用需要跨不同站点的程序和数据标准化。本研究的目的是为儿科和成人大脑癌生物样本库确定范围并开发一份推荐的临床注释数据集。

方法

成立了一个由BCBA联盟成员组成的多学科工作组,以制定针对脑癌生物样本库的临床数据集建议。进行了文献检索,以确定已发表的针对脑癌生物样本库临床数据集的建议。还对BCBA成员生物样本库收集和存储的数据项进行了审核,以调查BCBA网络目前的临床数据收集做法。

结果

BCBA已为儿科和成人大脑癌生物样本库制定了一份临床注释数据集建议。该临床数据集建议有5个临床数据类别:人口统计学、临床和放射学诊断与手术、神经病理学诊断、患者治疗以及患者随访。数据字段已被归类到3个层级中的1个; 、 和 这使得生物样本库和研究人员在资源有限时能够适当地确定优先级。

结论

该数据集可用于指导整合来自多个现有生物样本库的数据以进行研究,并用于规划前瞻性脑癌生物样本库活动。

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