The Childhood Cancer Data Initiative : Using the Power of Data to Learn From and Improve Outcomes for Every Child and Young Adult With Pediatric Cancer
Data-driven basic, translational, and clinical research has resulted in improved outcomes for children, adolescents, and young adults (AYAs) with pediatric cancers. However, challenges in sharing data between institutions, particularly in research, prevent addressing substantial unmet needs in children and AYA patients diagnosed with certain pediatric cancers. Systematically collecting and sharing data from every child and AYA can enable greater understanding of pediatric cancers, improve survivorship, and accelerate development of new and more effective therapies. To accomplish this goal, the Childhood Cancer Data Initiative (CCDI) was launched in 2019 at the National Cancer Institute. CCDI is a collaborative community endeavor supported by a 10-year, $50-million (in US dollars) annual federal investment. CCDI aims to learn from every patient diagnosed with a pediatric cancer by designing and building a data ecosystem that facilitates data collection, sharing, and analysis for researchers, clinicians, and patients across the cancer community. For example, CCDI's Molecular Characterization Initiative provides comprehensive clinical molecular characterization for children and AYAs with newly diagnosed cancers. Through these efforts, the CCDI strives to provide clinical benefit to patients and improvements in diagnosis and care through data-focused research support and to build expandable, sustainable data resources and workflows to advance research well past the planned 10 years of the initiative. Importantly, if CCDI demonstrates the success of this model for pediatric cancers, similar approaches can be applied to adults, transforming both clinical research and treatment to improve outcomes for all patients with cancer.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:41 |
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Enthalten in: |
Journal of clinical oncology : official journal of the American Society of Clinical Oncology - 41(2023), 24 vom: 20. Aug., Seite 4045-4053 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Flores-Toro, Joseph A [VerfasserIn] |
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Links: |
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Themen: |
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Anmerkungen: |
Date Completed 18.08.2023 Date Revised 20.09.2023 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1200/JCO.22.02208 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM357696166 |
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245 | 1 | 4 | |a The Childhood Cancer Data Initiative |b Using the Power of Data to Learn From and Improve Outcomes for Every Child and Young Adult With Pediatric Cancer |
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520 | |a Data-driven basic, translational, and clinical research has resulted in improved outcomes for children, adolescents, and young adults (AYAs) with pediatric cancers. However, challenges in sharing data between institutions, particularly in research, prevent addressing substantial unmet needs in children and AYA patients diagnosed with certain pediatric cancers. Systematically collecting and sharing data from every child and AYA can enable greater understanding of pediatric cancers, improve survivorship, and accelerate development of new and more effective therapies. To accomplish this goal, the Childhood Cancer Data Initiative (CCDI) was launched in 2019 at the National Cancer Institute. CCDI is a collaborative community endeavor supported by a 10-year, $50-million (in US dollars) annual federal investment. CCDI aims to learn from every patient diagnosed with a pediatric cancer by designing and building a data ecosystem that facilitates data collection, sharing, and analysis for researchers, clinicians, and patients across the cancer community. For example, CCDI's Molecular Characterization Initiative provides comprehensive clinical molecular characterization for children and AYAs with newly diagnosed cancers. Through these efforts, the CCDI strives to provide clinical benefit to patients and improvements in diagnosis and care through data-focused research support and to build expandable, sustainable data resources and workflows to advance research well past the planned 10 years of the initiative. Importantly, if CCDI demonstrates the success of this model for pediatric cancers, similar approaches can be applied to adults, transforming both clinical research and treatment to improve outcomes for all patients with cancer | ||
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650 | 4 | |a Research Support, N.I.H., Extramural | |
700 | 1 | |a Jagu, Subhashini |e verfasserin |4 aut | |
700 | 1 | |a Armstrong, Gregory T |e verfasserin |4 aut | |
700 | 1 | |a Arons, David F |e verfasserin |4 aut | |
700 | 1 | |a Aune, Gregory J |e verfasserin |4 aut | |
700 | 1 | |a Chanock, Stephen J |e verfasserin |4 aut | |
700 | 1 | |a Hawkins, Douglas S |e verfasserin |4 aut | |
700 | 1 | |a Heath, Allison |e verfasserin |4 aut | |
700 | 1 | |a Helman, Lee J |e verfasserin |4 aut | |
700 | 1 | |a Janeway, Katherine A |e verfasserin |4 aut | |
700 | 1 | |a Levine, Jason E |e verfasserin |4 aut | |
700 | 1 | |a Miller, Ellyn |e verfasserin |4 aut | |
700 | 1 | |a Penberthy, Lynne |e verfasserin |4 aut | |
700 | 1 | |a Roberts, Charles W M |e verfasserin |4 aut | |
700 | 1 | |a Shalley, Eve R |e verfasserin |4 aut | |
700 | 1 | |a Shern, Jack F |e verfasserin |4 aut | |
700 | 1 | |a Smith, Malcolm A |e verfasserin |4 aut | |
700 | 1 | |a Staudt, Louis M |e verfasserin |4 aut | |
700 | 1 | |a Volchenboum, Samuel L |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Jinghui |e verfasserin |4 aut | |
700 | 1 | |a Zenklusen, Jean Claude |e verfasserin |4 aut | |
700 | 1 | |a Lowy, Douglas R |e verfasserin |4 aut | |
700 | 1 | |a Sharpless, Norman E |e verfasserin |4 aut | |
700 | 1 | |a Guidry Auvil, Jaime M |e verfasserin |4 aut | |
700 | 1 | |a Kerlavage, Anthony R |e verfasserin |4 aut | |
700 | 1 | |a Widemann, Brigitte C |e verfasserin |4 aut | |
700 | 1 | |a Reaman, Gregory H |e verfasserin |4 aut | |
700 | 1 | |a Kibbe, Warren A |e verfasserin |4 aut | |
700 | 1 | |a Doroshow, James H |e verfasserin |4 aut | |
700 | 0 | |a Childhood Cancer Data Initiative Working Groups |e verfasserin |4 aut | |
700 | 1 | |a Aplenc, Richard |e investigator |4 oth | |
700 | 1 | |a Barrett, Caitlyn W |e investigator |4 oth | |
700 | 1 | |a Bartley, Naomi |e investigator |4 oth | |
700 | 1 | |a Buenger, Vicki |e investigator |4 oth | |
700 | 1 | |a Cerami, Ethan |e investigator |4 oth | |
700 | 1 | |a Cohn, Susan L |e investigator |4 oth | |
700 | 1 | |a Colace, Susan I |e investigator |4 oth | |
700 | 1 | |a Cost, Carrye R |e investigator |4 oth | |
700 | 1 | |a Crompton, Brian D |e investigator |4 oth | |
700 | 1 | |a Davidsen, Tanja M |e investigator |4 oth | |
700 | 1 | |a Diskin, Sharon J |e investigator |4 oth | |
700 | 1 | |a Bloyd, Jamie Ennis |e investigator |4 oth | |
700 | 1 | |a Forrest, Suzanne J |e investigator |4 oth | |
700 | 1 | |a Fouladi, Maryam |e investigator |4 oth | |
700 | 1 | |a Gajjar, Amar |e investigator |4 oth | |
700 | 1 | |a Bender, Julia Glade |e investigator |4 oth | |
700 | 1 | |a Goodman, Nancy |e investigator |4 oth | |
700 | 1 | |a Gramatges, Maria M |e investigator |4 oth | |
700 | 1 | |a Greene, Casey S |e investigator |4 oth | |
700 | 1 | |a Guillot, Julie A |e investigator |4 oth | |
700 | 1 | |a Haddock, Amanda P |e investigator |4 oth | |
700 | 1 | |a Haendel, Melissa A |e investigator |4 oth | |
700 | 1 | |a Hill, D Ashley |e investigator |4 oth | |
700 | 1 | |a Hwang, Amie E |e investigator |4 oth | |
700 | 1 | |a Kaas-Hogan, Daphne |e investigator |4 oth | |
700 | 1 | |a Kolb, Edward A |e investigator |4 oth | |
700 | 1 | |a Kung, Andrew L |e investigator |4 oth | |
700 | 1 | |a La Rosa, Salvatore |e investigator |4 oth | |
700 | 1 | |a Laetsch, Theodore W |e investigator |4 oth | |
700 | 1 | |a Lawlor, Elizabeth R |e investigator |4 oth | |
700 | 1 | |a Lupo, Philip J |e investigator |4 oth | |
700 | 1 | |a McEachron, Troy A |e investigator |4 oth | |
700 | 1 | |a McLeod, Clay |e investigator |4 oth | |
700 | 1 | |a McWeeney, Shannon K |e investigator |4 oth | |
700 | 1 | |a Mesirov, Jill P |e investigator |4 oth | |
700 | 1 | |a Milberg, Sarah |e investigator |4 oth | |
700 | 1 | |a Olshan, Andy F |e investigator |4 oth | |
700 | 1 | |a Painter, Corrie |e investigator |4 oth | |
700 | 1 | |a Parsons, Donald W |e investigator |4 oth | |
700 | 1 | |a Reichard-Eline, Aubrey |e investigator |4 oth | |
700 | 1 | |a Reilly, Karlyne M |e investigator |4 oth | |
700 | 1 | |a Resnick, Adam C |e investigator |4 oth | |
700 | 1 | |a Sandler, Abby B |e investigator |4 oth | |
700 | 1 | |a Seibel, Nita L |e investigator |4 oth | |
700 | 1 | |a Shah, Nilay |e investigator |4 oth | |
700 | 1 | |a Siegel, David A |e investigator |4 oth | |
700 | 1 | |a Spector, Logan G |e investigator |4 oth | |
700 | 1 | |a Sweet-Cordero, Alejandro |e investigator |4 oth | |
700 | 1 | |a Tomlinson, Gail E |e investigator |4 oth | |
700 | 1 | |a Tonorezos, Emily S |e investigator |4 oth | |
700 | 1 | |a Tricoli, James V |e investigator |4 oth | |
700 | 1 | |a Vaske, Olena M |e investigator |4 oth | |
700 | 1 | |a Wedekind Malone, Mary Frances |e investigator |4 oth | |
700 | 1 | |a Weil, Brent R |e investigator |4 oth | |
700 | 1 | |a Yock, Torunn |e investigator |4 oth | |
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