Evidence map›Paper›PMID 29859114›Full record

ArticleRadiation oncology (London, England)2018

Half brain irradiation in a murine model of breast cancer brain metastasis: magnetic resonance imaging and histological assessments of dose-response.

Niloufar Zarghami, Donna H Murrell, Michael D Jensen, Frederick A Dick, Ann F Chambers, Paula J Foster, Eugene Wong

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
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

7 authors at 1 institution in 1 country.

Niloufar ZarghamiDepartment of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.
Donna H MurrellDepartment of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.
Michael D JensenDepartment of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.
Frederick A DickDepartment of Biochemistry, University of Western Ontario, London, Ontario, Canada.
Ann F ChambersDepartment of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.
Paula J FosterDepartment of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.
Eugene WongDepartment of Medical Biophysics, University of Western Ontario, London, Ontario, Canada. ewong4@uwo.ca.ORCID http://orcid.org/0000-0001-6869-0122
Western University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain metastasis is becoming increasingly prevalent in breast cancer due to improved extra-cranial disease control. With emerging availability of modern image-guided radiation platforms, mouse models of brain metastases and small animal magnetic resonance imaging (MRI), we examined brain metastases' responses from radiotherapy in the pre-clinical setting. In this study, we employed half brain irradiation to reduce inter-subject variability in metastases dose-response evaluations.

methodsHalf brain irradiation was performed on a micro-CT/RT system in a human breast cancer (MDA-MB-231-BR) brain metastasis mouse model. Radiation induced DNA double stranded breaks in tumors and normal mouse brain tissue were quantified using γ-H2AX immunohistochemistry at 30 min (acute) and 11 days (longitudinal) after half-brain treatment for doses of 8, 16 and 24 Gy. In addition, tumor responses were assessed volumetrically with in-vivo longitudinal MRI and histologically for tumor cell density and nuclear size.

resultsIn the acute setting, γ-H2AX staining in tumors saturated at higher doses while normal mouse brain tissue continued to increase linearly in the phosphorylation of H2AX. While γ-H2AX fluorescence intensities returned to the background level in the brain 11 days after treatment, the residual γ-H2AX phosphorylation in the radiated tumors remained elevated compared to un-irradiated contralateral tumors. With radiation, MRI-derived relative tumor growth was significantly reduced compared to the un-irradiated side. While there was no difference in MRI tumor volume growth between 16 and 24 Gy, there was a significant reduction in tumor cell density from histology with increasing dose. In the longitudinal study, nuclear size in the residual tumor cells increased significantly as the radiation dose was increased.

conclusionsRadiation damages to the DNAs in the normal brain parenchyma are resolved over time, but remain unrepaired in the treated tumors. Furthermore, there is a radiation dose response in nuclear size of surviving tumor cells. Increase in nuclear size together with unrepaired DNA damage indicated that the surviving tumor cells post radiation had continued to progress in the cell cycle with DNA replication, but failed cytokinesis. Half brain irradiation provides efficient evaluation of dose-response for cancer cell lines, a pre-requisite to perform experiments to understand radio-resistance in brain metastases.

Indexed as

Disease Models, AnimalAnimalsBrainBrain NeoplasmsBreast NeoplasmsCell CycleCell Line, TumorCranial IrradiationDNA Breaks, Double-StrandedDose-Response Relationship, RadiationFemaleHistonesHumansLongitudinal StudiesMiceMice, NudeHistonesBrain metastasesBreast cancerDNA double-strand breaksMagnetic resonance imagingRadiation dose-responseSmall animal radiation therapyγ-H2AX

Identifiers

PMID29859114
PMCPMC5984731
OpenAlexW2806454501

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.