The children's brain tumor network (CBTN) - Accelerating research in pediatric central nervous system tumors through collaboration and open science
Pediatric brain tumors are the leading cause of cancer-related death in children in the United States and contribute a disproportionate number of potential years of life lost compared to adult cancers. Moreover, survivors frequently suffer long-term side effects, including secondary cancers. The Chi...
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| Veröffentlicht in: | Neoplasia (New York, N.Y.) Jg. 35; S. 100846 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
Elsevier Inc
01.01.2023
Neoplasia Press Elsevier |
| Schlagworte: | |
| ISSN: | 1476-5586, 1522-8002, 1476-5586 |
| Online-Zugang: | Volltext |
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| Abstract | Pediatric brain tumors are the leading cause of cancer-related death in children in the United States and contribute a disproportionate number of potential years of life lost compared to adult cancers. Moreover, survivors frequently suffer long-term side effects, including secondary cancers. The Children's Brain Tumor Network (CBTN) is a multi-institutional international clinical research consortium created to advance therapeutic development through the collection and rapid distribution of biospecimens and data via open-science research platforms for real-time access and use by the global research community. The CBTN's 32 member institutions utilize a shared regulatory governance architecture at the Children's Hospital of Philadelphia to accelerate and maximize the use of biospecimens and data. As of August 2022, CBTN has enrolled over 4700 subjects, over 1500 parents, and collected over 65,000 biospecimen aliquots for research. Additionally, over 80 preclinical models have been developed from collected tumors. Multi-omic data for over 1000 tumors and germline material are currently available with data generation for > 5000 samples underway. To our knowledge, CBTN provides the largest open-access pediatric brain tumor multi-omic dataset annotated with longitudinal clinical and outcome data, imaging, associated biospecimens, child-parent genomic pedigrees, and in vivo and in vitro preclinical models. Empowered by NIH-supported platforms such as the Kids First Data Resource and the Childhood Cancer Data Initiative, the CBTN continues to expand the resources needed for scientists to accelerate translational impact for improved outcomes and quality of life for children with brain and spinal cord tumors. |
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| AbstractList | Pediatric brain tumors are the leading cause of cancer-related death in children in the United States and contribute a disproportionate number of potential years of life lost compared to adult cancers. Moreover, survivors frequently suffer long-term side effects, including secondary cancers. The Children's Brain Tumor Network (CBTN) is a multi-institutional international clinical research consortium created to advance therapeutic development through the collection and rapid distribution of biospecimens and data via open-science research platforms for real-time access and use by the global research community. The CBTN's 32 member institutions utilize a shared regulatory governance architecture at the Children's Hospital of Philadelphia to accelerate and maximize the use of biospecimens and data. As of August 2022, CBTN has enrolled over 4700 subjects, over 1500 parents, and collected over 65,000 biospecimen aliquots for research. Additionally, over 80 preclinical models have been developed from collected tumors. Multi-omic data for over 1000 tumors and germline material are currently available with data generation for > 5000 samples underway. To our knowledge, CBTN provides the largest open-access pediatric brain tumor multi-omic dataset annotated with longitudinal clinical and outcome data, imaging, associated biospecimens, child-parent genomic pedigrees, and in vivo and in vitro preclinical models. Empowered by NIH-supported platforms such as the Kids First Data Resource and the Childhood Cancer Data Initiative, the CBTN continues to expand the resources needed for scientists to accelerate translational impact for improved outcomes and quality of life for children with brain and spinal cord tumors. Pediatric brain tumors are the leading cause of cancer-related death in children in the United States and contribute a disproportionate number of potential years of life lost compared to adult cancers. Moreover, survivors frequently suffer long-term side effects, including secondary cancers. The Children's Brain Tumor Network (CBTN) is a multi-institutional international clinical research consortium created to advance therapeutic development through the collection and rapid distribution of biospecimens and data via open-science research platforms for real-time access and use by the global research community. The CBTN's 32 member institutions utilize a shared regulatory governance architecture at the Children's Hospital of Philadelphia to accelerate and maximize the use of biospecimens and data. As of August 2022, CBTN has enrolled over 4700 subjects, over 1500 parents, and collected over 65,000 biospecimen aliquots for research. Additionally, over 80 preclinical models have been developed from collected tumors. Multi-omic data for over 1000 tumors and germline material are currently available with data generation for > 5000 samples underway. To our knowledge, CBTN provides the largest open-access pediatric brain tumor multi-omic dataset annotated with longitudinal clinical and outcome data, imaging, associated biospecimens, child-parent genomic pedigrees, and in vivo and in vitro preclinical models. Empowered by NIH-supported platforms such as the Kids First Data Resource and the Childhood Cancer Data Initiative, the CBTN continues to expand the resources needed for scientists to accelerate translational impact for improved outcomes and quality of life for children with brain and spinal cord tumors.Pediatric brain tumors are the leading cause of cancer-related death in children in the United States and contribute a disproportionate number of potential years of life lost compared to adult cancers. Moreover, survivors frequently suffer long-term side effects, including secondary cancers. The Children's Brain Tumor Network (CBTN) is a multi-institutional international clinical research consortium created to advance therapeutic development through the collection and rapid distribution of biospecimens and data via open-science research platforms for real-time access and use by the global research community. The CBTN's 32 member institutions utilize a shared regulatory governance architecture at the Children's Hospital of Philadelphia to accelerate and maximize the use of biospecimens and data. As of August 2022, CBTN has enrolled over 4700 subjects, over 1500 parents, and collected over 65,000 biospecimen aliquots for research. Additionally, over 80 preclinical models have been developed from collected tumors. Multi-omic data for over 1000 tumors and germline material are currently available with data generation for > 5000 samples underway. To our knowledge, CBTN provides the largest open-access pediatric brain tumor multi-omic dataset annotated with longitudinal clinical and outcome data, imaging, associated biospecimens, child-parent genomic pedigrees, and in vivo and in vitro preclinical models. Empowered by NIH-supported platforms such as the Kids First Data Resource and the Childhood Cancer Data Initiative, the CBTN continues to expand the resources needed for scientists to accelerate translational impact for improved outcomes and quality of life for children with brain and spinal cord tumors. |
| ArticleNumber | 100846 |
| Author | Ijaz, Heba Hashizume, Rintaro Mason, Jennifer L. Friedman, Christopher Diskin, Sharon J. Arya, Kamnaa Raabe, Eric Coleman, Noel Lober, Robert M. Niazi, Toba Buccoliero, Anna Maria Jackson, Eric M. Van Kuren, Nicholas Gupta, Nalin Smith, Amy Resnick, Adam C. Vaske, Olena M. Frenkel, Elizabeth Monje-Deisseroth, Michelle Zhu, Shida Helili, Zeinab Hanson, Derek Young, Nathan Drake, Emily Stefankiewiz, Stephanie Rife, Whitney Lilly, Jena V. Waanders, Angela J. Lindsay, Holly B. Tauhid, Lamiya Abdelbaki, Mohamed Grant, Gerald Quinsey, Carolyn Sullivan, Catherine Prolo, Laura M. Patton, Tatiana Higgins, David Mateos, Marion Zhu, Yuankun Pehlivan, Katherine Ziegler, David S. Choudhari, Namrata Moulder, Robert W. Carter, Claire L. Robins, Shannon Larouci, Carina A. Nazarian, Javad Lulla, Rishi R. Baubet, Valerie Lubneuski, Alex Goldman, Stewart Rokita, Jo Lynne Leary, Sarah Greenfield, Jeffrey P. Cole, Kristina A. Appert, Elizabeth Trooskin, Gerri Haussler, David Kim, Meen Chul Cain, Jason Waller, Jonathan Partap, Sonia Zhang, Bo Morgan, Allison M. Franson, |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36335802$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1158/2159-8290.CD-NB2020-081 10.1158/1078-0432.CCR-22-0803 10.1038/s41597-019-0096-4 10.1016/j.cell.2020.10.044 |
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| Keywords | Biospecimens Longitudinal clinical data Multi-omic data Molecular clinical trials Pediatric brain tumors Collaborative international research infrastructure |
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| References | Kline, Jain, Kilburn, Bonner, Gupta, Crawford (bib0007) 2022 Gabriella miller kids first [Internet]. 2021 [cited 2022 Oct 2]. Available from Curtin, Minino, Anderson (bib0001) 2016 Shapiro, Gaonkar, Savonen, Spielman, Bethell, Jin (bib0006) 2022 Learned, Durbin, Currie, Kephart, Beale, Sanders (bib0002) 2019; 6 SageBionetworks. Schwannomatosis Open Research Collaborative [Internet]. [cited 2022 Oct 2]. Available from Pediatric brain tumor atlas [Internet]. [cited 2022 Oct 2]. Available from (bib0009) 2020; 10 Petralia, Tignor, Reva, Koptyra, Chowdhury, Rykunov (bib0005) 2020; 183 Synapse:syn28545963/wiki/617092 Jin, Zhang, Gaonkar, Rathi, Rokita, Wafula (bib0008) 2022 Shapiro (10.1016/j.neo.2022.100846_bib0006) 2022 10.1016/j.neo.2022.100846_bib0010 Jin (10.1016/j.neo.2022.100846_bib0008) 2022 Petralia (10.1016/j.neo.2022.100846_bib0005) 2020; 183 (10.1016/j.neo.2022.100846_bib0009) 2020; 10 Kline (10.1016/j.neo.2022.100846_bib0007) 2022 10.1016/j.neo.2022.100846_bib0004 10.1016/j.neo.2022.100846_bib0003 Curtin (10.1016/j.neo.2022.100846_bib0001) 2016 Learned (10.1016/j.neo.2022.100846_bib0002) 2019; 6 |
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