Literature DB >> 35090025

Predictive Radiation Oncology - A New NCI-DOE Scientific Space and Community.

Jeffrey C Buchsbaum1, David A Jaffray2, Demba Ba3, Lynn L Borkon4, Christine Chalk5, Caroline Chung2, Matthew A Coleman6, C Norman Coleman1, Maximilian Diehn7, Kelvin K Droegemeier8, Heiko Enderling9, Michael G Espey1, Emily J Greenspan1, Christopher M Hartshorn1, Thuc Hoang10, H Timothy Hsiao11, Cynthia Keppel12, Nathan W Moore13, Fred Prior14, Eric A Stahlberg4, Georgia Tourassi15, Karen E Willcox16.   

Abstract

With a widely attended virtual kickoff event on January 29, 2021, the National Cancer Institute (NCI) and the Department of Energy (DOE) launched a series of 4 interactive, interdisciplinary workshops-and a final concluding "World Café" on March 29, 2021-focused on advancing computational approaches for predictive oncology in the clinical and research domains of radiation oncology. These events reflect 3,870 human hours of virtual engagement with representation from 8 DOE national laboratories and the Frederick National Laboratory for Cancer Research (FNL), 4 research institutes, 5 cancer centers, 17 medical schools and teaching hospitals, 5 companies, 5 federal agencies, 3 research centers, and 27 universities. Here we summarize the workshops by first describing the background for the workshops. Participants identified twelve key questions-and collaborative parallel ideas-as the focus of work going forward to advance the field. These were then used to define short-term and longer-term "Blue Sky" goals. In addition, the group determined key success factors for predictive oncology in the context of radiation oncology, if not the future of all of medicine. These are: cross-discipline collaboration, targeted talent development, development of mechanistic mathematical and computational models and tools, and access to high-quality multiscale data that bridges mechanisms to phenotype. The workshop participants reported feeling energized and highly motivated to pursue next steps together to address the unmet needs in radiation oncology specifically and in cancer research generally and that NCI and DOE project goals align at the convergence of radiation therapy and advanced computing. ©2022 by Radiation Research Society. All rights of reproduction in any form reserved.

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Year:  2022        PMID: 35090025      PMCID: PMC9058979          DOI: 10.1667/RADE-22-00012.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   3.372


  45 in total

Review 1.  Integrating Mathematical Modeling into the Roadmap for Personalized Adaptive Radiation Therapy.

Authors:  Heiko Enderling; Juan Carlos López Alfonso; Eduardo Moros; Jimmy J Caudell; Louis B Harrison
Journal:  Trends Cancer       Date:  2019-07-10

Review 2.  Flexible Electronics toward Wearable Sensing.

Authors:  Wei Gao; Hiroki Ota; Daisuke Kiriya; Kuniharu Takei; Ali Javey
Journal:  Acc Chem Res       Date:  2019-02-15       Impact factor: 22.384

Review 3.  There's plenty of room at the Top: What will drive computer performance after Moore's law?

Authors:  Charles E Leiserson; Neil C Thompson; Joel S Emer; Bradley C Kuszmaul; Butler W Lampson; Daniel Sanchez; Tao B Schardl
Journal:  Science       Date:  2020-06-05       Impact factor: 47.728

Review 4.  Molecular networks in Network Medicine: Development and applications.

Authors:  Edwin K Silverman; Harald H H W Schmidt; Eleni Anastasiadou; Lucia Altucci; Marco Angelini; Lina Badimon; Jean-Luc Balligand; Giuditta Benincasa; Giovambattista Capasso; Federica Conte; Antonella Di Costanzo; Lorenzo Farina; Giulia Fiscon; Laurent Gatto; Michele Gentili; Joseph Loscalzo; Cinzia Marchese; Claudio Napoli; Paola Paci; Manuela Petti; John Quackenbush; Paolo Tieri; Davide Viggiano; Gemma Vilahur; Kimberly Glass; Jan Baumbach
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-04-19

5.  Workshop Report for Cancer Research: Defining the Shades of Gy: Utilizing the Biological Consequences of Radiotherapy in the Development of New Treatment Approaches-Meeting Viewpoint.

Authors:  Mansoor M Ahmed; C Norman Coleman; Marc Mendonca; Soren Bentzen; Bhadrasain Vikram; Stephen M Seltzer; Dudley Goodhead; Ceferino Obcemea; Radhe Mohan; Kevin M Prise; Jacek Capala; Deborah Citrin; Gary Kao; Molykutty Aryankalayil; Iris Eke; Jeffrey C Buchsbaum; Pataje G S Prasanna; Fei-Fei Liu; Quynh-Thu Le; Beverly Teicher; David G Kirsch; DeeDee Smart; Joel Tepper; Silvia Formenti; Daphne Haas-Kogan; David Raben; James Mitchell
Journal:  Cancer Res       Date:  2018-04-23       Impact factor: 12.701

6.  Convergence and Stability of a Class of Iteratively Re-weighted Least Squares Algorithms for Sparse Signal Recovery in the Presence of Noise.

Authors:  Behtash Babadi; Demba Ba; Patrick L Purdon; Emery N Brown
Journal:  IEEE Trans Signal Process       Date:  2014-01-01       Impact factor: 4.931

7.  Computational Model Predicts the Effects of Targeting Cellular Metabolism in Pancreatic Cancer.

Authors:  Mahua Roy; Stacey D Finley
Journal:  Front Physiol       Date:  2017-04-12       Impact factor: 4.566

8.  The Optimal Radiation Dose to Induce Robust Systemic Anti-Tumor Immunity.

Authors:  Jan Poleszczuk; Heiko Enderling
Journal:  Int J Mol Sci       Date:  2018-10-29       Impact factor: 5.923

9.  Forecasting Individual Patient Response to Radiation Therapy in Head and Neck Cancer With a Dynamic Carrying Capacity Model.

Authors:  Mohammad U Zahid; Nuverah Mohsin; Abdallah S R Mohamed; Jimmy J Caudell; Louis B Harrison; Clifton D Fuller; Eduardo G Moros; Heiko Enderling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-06-05       Impact factor: 7.038

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