Evidence map›Paper›PMID 25609072›Full record

ArticleJournal of cancer research and clinical oncology2015

Knockdown of telomeric repeat binding factor 2 enhances tumor radiosensitivity regardless of telomerase status.

Xiaoxi Yang, Zheng Li, Lei Yang, Han Lei, Haijun Yu, Zhengkai Liao, Fuxiang Zhou, Conghua Xie, Yunfeng Zhou

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 19 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

9 authors at 2 institutions in 1 country.

Xiaoxi YangDepartment of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Wuhan, 430071, China, yangxiaoxi827@163.com.
Zheng Li
Lei Yang
Han Lei
Haijun Yu
Zhengkai Liao
Fuxiang Zhou
Conghua Xie
Yunfeng Zhou
Wuhan University · CNZhongnan Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the effects of TRF2 depletion on radiosensitivity in both the telomerase-positive cell lines (A549) and alternative lengthening of telomere (ALT) cell lines (U2OS).

methodsX-ray irradiation was used to establish two radioresistant cancer models (A549R and U2OSR) from A549 and U2OS. Colony formation assay was applied to examine the radiosensitivity of radioresistant A549R and U2OSR cells and TRF2 low-expression cells. Real-time PCR and TeloTAGGG Telomerase PCR ELISA Kit were performed to examine telomere length and telomerase activity separately. γ-H2AX was detected by immunofluorescence to assess the radiation-induced DSBs.

resultsRadioresistant cancer models were established, in which TRF2 was significantly over-expressed. Low expression of TRF2 protein could enhance the radiosensitivity and induce telomere length of A549 and U2OS cell shortening. In A549 cells with TRF2 down-regulated, the telomerase activity was inhibited, too. TRF2 deficiency increases γ-H2AX foci and fails to protect telomere from radiation.

conclusionThe data suggest that TRF2 is a radioresistant protein in A549 and U2OS cells, and could potentially be a target for radiosensitization of both telomerase-positive and ALT cells in radiotherapy.

Indexed as

Bone NeoplasmsCell Line, TumorDose-Response Relationship, RadiationGene Knockdown TechniquesHistonesHumansLung NeoplasmsNeoplasmsOsteosarcomaRadiation ToleranceTelomeraseTelomereTelomeric Repeat Binding Protein 2Up-RegulationH2AX protein, humanHistonesTelomeraseTelomeric Repeat Binding Protein 2TERF2 protein, human

Identifiers

PMID25609072
PMCPMC11824143
OpenAlexW2160709977

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.