Future of Team-based Basic and Translational Science in Radiation Oncology

R P Coppes*, L V van Dijk

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)
27 Downloads (Pure)

Abstract

To further optimize radiotherapy, a more personalized treatment towards individual patient's risk profiles, dissecting both patient-specific tumor and normal tissue response to multimodality treatments is needed. Novel developments in radiobiology, using in vitro patient-specific complex tissue resembling 3D models and multiomics approaches at a spatial single-cell level, may provide unprecedented insight into the radiation responses of tumors and normal tissue. Here, we describe the necessary team effort, including all disciplines in radiation oncology, to integrate such data into clinical prediction models and link the relatively "big data" from the clinical practice, allowing accurate patient stratification for personalized treatment approaches.

Original languageEnglish
Pages (from-to)370-378
Number of pages9
JournalSeminars in radiation oncology
Volume34
Issue number4
DOIs
Publication statusPublished - Oct-2024

Keywords

  • Humans
  • Radiation Oncology
  • Neoplasms/radiotherapy
  • Precision Medicine/methods
  • Translational Research, Biomedical
  • Translational Science, Biomedical
  • Patient Care Team
  • Radiobiology

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