Evidence map›Paper›PMID 25363593›Full record

ArticleWorld journal of surgical oncology2014

Silencing of insulin-like growth factor-1 receptor enhances the radiation sensitivity of human esophageal squamous cell carcinoma in vitro and in vivo.

Hui Zhao, Xiaomeng Gu

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in World journal of surgical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 15 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 1 country.

Hui Zhao
Xiaomeng GuDepartment of Gastroenterology, Qilu Hospital of Shandong University, Wenhua Western Road 107, Jinan 250012 Shandong Province, China. guxiaomengff@126.com.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal squamous cell carcinoma (ESCC) is a prevalent fatal cancer worldwide, and the number of deaths due to this disease is increasing. Due to ESCC resistance to chemotherapy and radiation treatment, new therapies are urgently needed for the improvement of ESCC patient clinical outcomes.

methodsEca-109 and TE-1 cells were transfected with 100 nM IGF-1r siRNA, and a combination of IGF-1r siRNA and radiation therapy was tested in vitro and in vivo. The effects of IGF-1r siRNA were determined through Western blotting and flow cytometry experiments.

resultsAfter radiotherapy, the number of IGF-1r siRNA-transfected Eca-109 cells decreased by approximately 67.3%, and a 78.9% reduction was observed in the transfected TE-1 cells. In addition, the Eca-109 and TE-1 cells that were irradiated following IGF-1r knockdown contained 16.2% and 20.3% apoptotic cells, respectively.

conclusionsThe results of the current study suggest that IGF-1r knockdown may enhance the radiation sensitivity of ESCC and increase the therapeutic effects of radiation both in vitro and in vivo. These results provide strong evidence that the targeted application of siRNA will enable the development of new therapeutic strategies for the clinical treatment of ESCC patients.

Indexed as

Gene Knockdown TechniquesGene SilencingAnimalsBiomarkers, TumorBlotting, WesternCarcinoma, Squamous CellCell Line, TumorEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleFlow CytometryHumansIn Vitro TechniquesMiceMice, NudeRadiation ToleranceBiomarkers, TumorReceptor, IGF Type 1RNA, Small Interfering

Identifiers

PMID25363593
PMCPMC4232704
OpenAlexW2120722174

What OpenQuestion holds

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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.