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Cited by 442

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Radiotherapy and the Tumor Stroma: The Importance of Dose and Fractionation

Open access
Hellevik, Turid, Martinez-Zubiaurre, Iñigo·2014·Frontiers in Oncology

Abstract

Ionizing radiation is a non-specific but highly effective way to kill malignant cells. However, tumor recurrence sustained by a minor fraction of surviving tumor cells is a commonplace phenomenon caused by the activation of both cancer cell intrinsic resistance mechanisms, and also extrinsic intermediaries of therapy resistance, represented by non-malignant cells and structural components of the tumor stroma. The improved accuracy offered by advanced radiotherapy (RT)-technology permits reduced volume of healthy tissue in the irradiated field, and has been triggering an increase in the prescription of high-dose oligo-fractionated regimens in the clinics. Given the remarkable clinical success of high-dose RT and the current therapeutic shift occurring in the field, in this review we revise the existing knowledge on the effects that different radiation regimens exert on the different compartments of the tumor microenvironment, and highlight the importance of anti-tumor immunity and other tumor cell extrinsic mechanisms influencing therapeutic responses to high-dose radiation.

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Metadata

Authors
Hellevik, T., & Martinez-Zubiaurre, I.
Venue
Frontiers in Oncology
Published
2014
Volume
4
Pages
1-1
ISSN
2234-943X (ISSN-L)
OpenAlex
W1988138737
Cited by
442
References
19
FWCI
45.70
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Radiotherapy and the Tumor Stroma: The Importance of Dose and Fractionation. https://app.cochat.ai/papers/10.3389/fonc.2014.00001
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Hellevik, T., & Martinez-Zubiaurre, I. (2014). Radiotherapy and the Tumor Stroma: The Importance of Dose and Fractionation. Frontiers in Oncology. https://doi.org/10.3389/fonc.2014.00001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.