Evidence map›Paper›PMID 34306509›Full record

ArticleAmerican journal of translational research2021

Application of gene polymorphisms to predict the sensitivity of patients with locally advanced non-small cell lung cancer undergoing chemoradiotherapy.

Yue Zhao, Yun Xie, Dianjun Jia, Chiluan Ma, Dongdong Wei, Xiaoyu Zhang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. The Role of Single Nucleotide Polymorphisms at the Arg399Gln Locus of theInternational journal of molecular sciences · 2025
    Article
  2. Review
  3. Article
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

6 authors at 2 institutions in 1 country.

Yue ZhaoDepartment II of Radiotherapy, Cangzhou Central Hospital Cangzhou, China.
Yun XieHebei Provincial Center for Disease Control and Prevention Hebei, China.
Dianjun JiaDepartment II of Radiotherapy, Cangzhou Central Hospital Cangzhou, China.
Chiluan MaDepartment II of Radiotherapy, Cangzhou Central Hospital Cangzhou, China.
Dongdong WeiDepartment II of Radiotherapy, Cangzhou Central Hospital Cangzhou, China.
Xiaoyu ZhangDepartment III of Thyroid Breast Surgery, Cangzhou Central Hospital Cangzhou, China.
Cangzhou Central Hospital · CNHebei Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the value of gene polymorphisms in predicting the sensitivity of patients with locally advanced non-small-cell lung cancer (NSCLC) undergoing chemoradiotherapy.

methodsPatients with locally advanced NSCLC undergoing chemoradiotherapy in our hospital from February 2017 to August 2019 were enrolled. X-ray repair cross complementing group 1 (XRCC1) gene polymorphisms were detected before chemoradiotherapy, and the correlation of XRCC1 gene polymorphisms with the sensitivity was analyzed.

resultsThere was no significant correlation of XRCC1 gene polymorphisms with age, gender, smoking status, pathological type, clinical stage and tumor size (

conclusionThe Arg399Gln polymorphism of XRCC1 gene was significantly related to the sensitivity of patients with locally advanced NSCLC undergoing chemoradiotherapy. The sensitivity of patients carrying wild-type gene AA to chemoradiotherapy was significantly better than that of patients with GA and GG.

Indexed as

chemoradiotherapyGene polymorphismsnon-small cell lung cancersensitivity

Identifiers

PMID34306509
PMCPMC8290768
OpenAlexW3184817715

What OpenQuestion holds

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Registered trials

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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.