Glover Jason, Man Tsz-Kwong, Barkauskas Donald A, Hall David, Tello Tanya, Sullivan Mary Beth, Gorlick Richard, Janeway Katherine, Grier Holcombe, Lau Ching, Toretsky Jeffrey A, Borinstein Scott C, Khanna Chand, Fan Timothy M
Children's Cancer and Blood Disorders Program, Randall Children's Hospital, Portland, Oregon, United States of America.
Department of Pediatrics, Baylor College of Medicine, and Texas Children's Cancer Center, Houston, Texas, United States of America.
PLoS One. 2017 Jul 21;12(7):e0181204. doi: 10.1371/journal.pone.0181204. eCollection 2017.
The prospective banking of osteosarcoma tissue samples to promote research endeavors has been realized through the establishment of a nationally centralized biospecimen repository, the Children's Oncology Group (COG) biospecimen bank located at the Biopathology Center (BPC)/Nationwide Children's Hospital in Columbus, Ohio. Although the physical inventory of osteosarcoma biospecimens is substantive (>15,000 sample specimens), the nature of these resources remains exhaustible. Despite judicious allocation of these high-value biospecimens for conducting sarcoma-related research, a deeper understanding of osteosarcoma biology, in particular metastases, remains unrealized. In addition the identification and development of novel diagnostics and effective therapeutics remain elusive. The QuadW-COG Childhood Sarcoma Biostatistics and Annotation Office (CSBAO) has developed the High Dimensional Data (HDD) platform to complement the existing physical inventory and to promote in silico hypothesis testing in sarcoma biology. The HDD is a relational biologic database derived from matched osteosarcoma biospecimens in which diverse experimental readouts have been generated and digitally deposited. As proof-of-concept, we demonstrate that the HDD platform can be utilized to address previously unrealized biologic questions though the systematic juxtaposition of diverse datasets derived from shared biospecimens. The continued population of the HDD platform with high-value, high-throughput and mineable datasets allows a shared and reusable resource for researchers, both experimentalists and bioinformatics investigators, to propose and answer questions in silico that advance our understanding of osteosarcoma biology.
通过建立一个全国性的集中生物样本库,即位于俄亥俄州哥伦布市生物病理学中心(BPC)/全国儿童医院的儿童肿瘤组(COG)生物样本库,实现了对骨肉瘤组织样本的前瞻性储存,以促进研究工作。尽管骨肉瘤生物样本的实物库存数量可观(超过15000个样本),但这些资源的性质仍然是有限的。尽管对这些高价值生物样本进行了合理分配以开展肉瘤相关研究,但对骨肉瘤生物学,尤其是转移的深入理解仍未实现。此外,新型诊断方法和有效治疗方法的识别与开发仍然困难重重。QuadW-COG儿童肉瘤生物统计学与注释办公室(CSBAO)开发了高维数据(HDD)平台,以补充现有的实物库存,并促进肉瘤生物学的计算机模拟假设检验。HDD是一个关系型生物数据库,源自匹配的骨肉瘤生物样本,其中已生成并数字化存储了各种实验读数。作为概念验证,我们证明HDD平台可通过系统并列源自共享生物样本的不同数据集,用于解决以前未实现的生物学问题。持续为HDD平台填充高价值、高通量且可挖掘的数据集,可为研究人员(包括实验人员和生物信息学研究人员)提供一个共享且可重复使用的资源,以便在计算机模拟中提出并回答问题,从而推动我们对骨肉瘤生物学的理解。