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1.
PLoS One ; 12(7): e0181204, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28732082

RESUMO

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.


Assuntos
Pesquisa Biomédica , Neoplasias Ósseas , Simulação por Computador , Bases de Dados Factuais , Osteossarcoma , Bancos de Tecidos , Neoplasias Ósseas/metabolismo , Biologia Computacional , RNA Helicases DEAD-box/metabolismo , Humanos , Proteína 2 de Ligação a Fator de Crescimento Semelhante à Insulina/sangue , Proteínas de Membrana/metabolismo , Análise em Microsséries , Antígenos de Histocompatibilidade Menor/metabolismo , Modelos Biológicos , Osteossarcoma/metabolismo , RNA/metabolismo , Ubiquitina Tiolesterase/metabolismo
2.
Pediatr Blood Cancer ; 62(3): 450-5, 2015 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-25611047

RESUMO

BACKGROUND: Survival rates of patients with osteosarcoma have remained stagnant over the last thirty years. Better understanding of biology, new therapeutics, and improved biomarkers are needed. The Children's Oncology Group (COG) addressed this need by developing one of the largest osteosarcoma biorepositories ever, containing over 15,000 tumor and tissue samples from over 1,500 patients. PROCEDURE: The biology study P9851 and the banking study AOST06B1 has enrolled 1,787 patients (as of September, 2013). Clinical information was lacking on 510 patients on P9851, who were not enrolled on a concurrent therapeutic trial. The value of these specimens was diminished. The lack of statistical support available for biology projects slowed the analysis of several critical studies. The QuadW Foundation, CureSearch, and the COG formed the Childhood Sarcoma Biostatistics and Annotation Office (CSBAO) to provide the infrastructure and address these needs by linking clinically annotated patient data to archived tissue samples and to develop biostatistical support for childhood sarcoma research. RESULTS: Originally 5.3% of samples from the 510 patients on P9851 not enrolled on a therapeutic study had full clinical annotation. The efforts of the CSBAO have linked clinical annotation to 90.8% of those specimens and provided statistical analyses to several studies that had used COG samples. As a result, 24 biology studies in osteosarcoma have been completed and published in peer-reviewed journals. CONCLUSIONS: These samples and in-silico data are available to the research community for basic and translational science projects to improve the biological understanding and treatment of patients affected by osteosarcoma.


Assuntos
Biomarcadores Tumorais/metabolismo , Bases de Dados Factuais , Osteossarcoma/metabolismo , Osteossarcoma/patologia , Bancos de Tecidos , Adolescente , Adulto , Criança , Pré-Escolar , Ensaios Clínicos Fase II como Assunto , Feminino , Humanos , Masculino , Ensaios Clínicos Controlados Aleatórios como Assunto
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