Evidence map›Paper›PMID 25229976›Full record

ArticleRadiation research2014

Heavier ions with a different linear energy transfer spectrum kill more cells due to similar interference with the Ku-dependent DNA repair pathway.

Hongyan Wang, Ya Wang

Open access · greenAbstract read
In one paragraph

Article in Radiation research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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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

2 authors at 1 institution in 2 countries.

Hongyan WangDepartment of Radiation Oncology, School of Medicine, Winship Cancer Institute of Emory University, Atlanta, Georgia 30322.
Ya Wang
Emory University · US

Funding

Winship Cancer Institute Cancer Center Support GrantP30CA138292 · NCI · EMORY UNIVERSITY · PI Suresh S Ramalingam · 2009 to 2026
$47.5M
NCI NIH HHS P30 CA138292NCI NIH HHS P30CA138292
6 · The paper itself

Abstract

Ionizing radiation kills cells mainly due to the generation of DNA double-strand breaks (DSBs). High-linear energy transfer (LET) ionizing radiation induces more cell death and generates a higher relative biological effect (RBE) than low-LET ionizing radiation (such as X or γ ray). Although it is known that interference with the Ku-dependent nonhomologous ending-joining (NHEJ) pathway appears to be the major cause of iron-ion- and carbon-ion-induced cell death, it remains unclear whether other ions with a similar or different LET and higher RBE in terms of cell killing are controlled in the same way. In this study, we compared the clonogenic survival frequency of Ku80+/+ (NHEJ-proficient) and Ku80-/- (NHEJ-deficient) cells after exposure to iron (175 keV/μm), silicon (75 keV/μm), oxygen (25 keV/μm) and X ray (low-LET). The results showed that Ku80-/- cells had the same RBE value of 1 for cell killing for all types of ionizing radiation, whereas Ku80+/+ cells had different RBE values for cell killing that depended on the specific type of ionizing radiation. The results indicate that the Ku-dependent NHEJ is the major repair pathway that heavier ions interfere with, resulting in higher RBE for cell killing. These results provide useful information for followup studies that will focus on improving high-LET protection or heavier ion radiotherapy in the near future.

Indexed as

Heavy Ion RadiotherapyAnimalsAntigens, NuclearCell DeathCell LineDNA-Binding ProteinsDNA End-Joining RepairDNA RepairHistonesKu AutoantigenLinear Energy TransferMiceAntigens, NuclearDNA-Binding Proteinsgamma-H2AX protein, mouseHistonesKu AutoantigenXrcc6 protein, mouse

Identifiers

PMID25229976
PMCPMC4329976
OpenAlexW2003421155

What OpenQuestion holds

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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.