Evidence map›Paper›PMID 29159430›Full record

ReviewClinical & experimental metastasis2018

Radiation therapy-induced metastasis: radiobiology and clinical implications.

Benjamin J Blyth, Aidan J Cole, Michael P MacManus, Olga A Martin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & experimental metastasis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
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  12. Metastasis prevention: targeting causes and roots.Clinical & experimental metastasis · 2022
    Review
  13. Review
  14. Article
  15. Article
  16. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Benjamin J BlythDivision of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, 3000, Australia. benjamin.blyth@petermac.org.ORCID 0000-0003-4754-6249
Aidan J ColeDivision of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, 3000, Australia.
Michael P MacManusDivision of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, 3000, Australia.
Olga A MartinDivision of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, 3000, Australia.

Funding

National Health and Medical Research Council 1104139
6 · The paper itself

Abstract

Radiation therapy is an effective means of achieving local control in a wide range of primary tumours, with the reduction in the size of the tumour(s) thought to mediate the observed reductions in metastatic spread in clinical trials. However, there is evidence to suggest that the complex changes induced by radiation in the tumour environment can also present metastatic risks that may counteract the long-term efficacy of the treatment. More than 25 years ago, several largely theoretical mechanisms by which radiation exposure might increase metastatic risk were postulated. These include the direct release of tumour cells into the circulation, systemic effects of tumour and normal tissue irradiation and radiation-induced changes in tumour cell phenotype. Here, we review the data that has since emerged to either support or refute these putative mechanisms focusing on how the unique radiobiology underlying modern radiotherapy modalities might alter these risks.

Indexed as

AnimalsHumansNeoplasm MetastasisNeoplasmsNeoplasms, Radiation-InducedNeoplastic Cells, CirculatingRadiobiologyRadiotherapyAbscopal effectsCirculating tumour cellsEMTMetastasisRadiotherapy

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.