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Interfering with Tumor Hypoxia for Radiotherapy Optimization

Telarovic, Irma; Wenger, Roland H; Pruschy, Martin (2021). Interfering with Tumor Hypoxia for Radiotherapy Optimization. Journal of Experimental & Clinical Cancer Research, 40:197.

Abstract

Hypoxia in solid tumors is an important predictor of treatment resistance and poor clinical outcome. The significance of hypoxia in the development of resistance to radiotherapy has been recognized for decades and the search for hypoxia-targeting, radiosensitizing agents continues. This review summarizes the main hypoxia-related processes relevant for radiotherapy on the subcellular, cellular and tissue level and discusses the significance of hypoxia in radiation oncology, especially with regard to the current shift towards hypofractionated treatment regimens. Furthermore, we discuss the strategies to interfere with hypoxia for radiotherapy optimization, and we highlight novel insights into the molecular pathways involved in hypoxia that might be utilized to increase the efficacy of radiotherapy.

Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Radiation Oncology
04 Faculty of Medicine > Institute of Physiology
07 Faculty of Science > Institute of Physiology
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Health Sciences > Oncology
Life Sciences > Cancer Research
Language:English
Date:1 December 2021
Deposited On:22 Jun 2021 14:41
Last Modified:13 Mar 2025 04:32
Publisher:BioMed Central
ISSN:0392-9078
Additional Information:Figures were created using Biorender.com
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1186/s13046-021-02000-x
PubMed ID:34154610
Project Information:
  • Funder: in part by the MD-PhD scholarship of the Swiss Academy of Medical Sciences (MD-PhD-4820-06-2019) sponsored by the Swiss Cancer Research Foundation
  • Grant ID: MD-PhD-4820-06-2019
  • Project Title:
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  • Content: Published Version
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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