Evidence map›Paper›PMID 34549713›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2021

[Value of plasma SEPTIN9 methylation detection for diagnosis and predicting radiosensitivity of esophageal carcinoma].

Q Sun, J Liu, X Fan, Y Zhou, X Wang, Z Cui

Open access · greenAbstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

6 authors at 1 institution in 1 country.

Q SunDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
J LiuDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
X FanDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
Y ZhouDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
X WangAnhui Provincial Clinical and Preclinical Key Laboratory of Respiratory Disease//Molecular Diagnostic Center, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
Z CuiDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
First Affiliated Hospital of Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the value of plasma mSEPT9 detection in the diagnosis and prediction of radiosensitivity of esophageal carcinoma.

methodsThis study was conducted in 72 patients with esophageal cancer who received radical radiotherapy in the Department of Radiotherapy of First Affiliated Hospital of Bengbu Medical College between January, 2019 and December, 2020.Plasma mSEPT9 of the patients were examined with PCR before and after radiotherapy, with 20 healthy subjects from the physical examination center as the controls.The receiver operating characteristic curve (ROC) was used to assess the value of mSEPT9 in diagnosis of esophageal cancer, and the correlation between mSEPT9 and clinicopathological characteristics of the patients was analyzed.According to their response to radiotherapy, the patients were divided into radiosensitive group and insensitive group, and their plasma mSEPT9 levels were compared before radiotherapy.All the patients were observed for dynamic changes of mSEPT9 levels after radiotherapy to analyze the association of mSEPT9 variation with radiosensitivity of the tumors.

resultsThe sensitivity and specificity of mSEPT9 for the diagnosis of esophageal carcinoma were 62.5% and 100%, respectively, with an area under the ROC curve of 0.813.Plasma mSEPT9 level was correlated with lymph node metastasis and clinical stages of esophageal carcinoma (

conclusionDetection of plasma mSEPT9 level is helpful for diagnosis and prediction of radiosensitivity of esophageal carcinoma.

Indexed as

DNA MethylationEsophageal NeoplasmsBiomarkers, TumorHumansNeoplasm StagingPrognosisRadiation ToleranceSeptinsBiomarkers, TumorSeptinsdiagnosisesophageal carcinomamSEPT9radiosensitivity

Identifiers

PMID34549713
PMCPMC8527227
OpenAlexW3200035050

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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.