Evidence map›Paper›PMID 23435990›Full record

ArticleMedical oncology (Northwood, London, England)2013

Association between single nucleotide polymorphisms of the transforming growth factor-β1 gene and overall survival in unresectable locally advanced non-small-cell lung cancer patients treated with radio(chemo)therapy in a Chinese population.

Sheng-Liu Xue, Yi-Hu Zheng, Hua-Fang Su, Xia Deng, Xue-Bang Zhang, Chang-Lin Zou, Mei-Long Hu, Cong-Ying Xie

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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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

8 authors.

Sheng-Liu XueDepartment of Radiation Oncology and Chemotherapy, The First Affiliated Hospital of Wenzhou Medical College, 2 Fuxuexiang Road, Wenzhou 325002, Zhejiang, People's Republic of China.
Yi-Hu Zheng
Hua-Fang Su
Xia Deng
Xue-Bang Zhang
Chang-Lin Zou
Mei-Long Hu
Cong-Ying Xie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outcome is variable for unresectable locally advanced non-small-cell lung cancer (ULANSCLC) patients treated with radio(chemo)therapy. The aim of this study is to investigate whether single-nucleotide polymorphisms (SNPs) in the transforming growth factor-beta1 (TGF-β1) gene are associated with overall survival (OS) in ULANSCLC patients treated with definitive radio(chemo)therapy. A total of 109 patients who had available blood samples and complete clinical and follow-up information were enrolled. DNA from blood was genotyped for two SNPs: TGF-β1 C-509T and T+869C. Kaplan-Meier survival analysis, log-rank test, and Cox's proportional hazard model were used to evaluate associations between genotypes and OS. Log-rank test showed that TGF-β1 C-509T significantly correlated with OS (pooled P = 0.017). Both univariate and multivariate analyses showed that TGF-β1 C-509T CC genotype was significantly associated with better OS than CT or TT genotypes. These results indicate that TGF-β1 C-509T CC genotype is significantly associated with better OS in ULANSCLC patients treated with radio(chemo)therapy as a potential independent survival predictor.

Indexed as

ChemoradiotherapyAdultAgedAsian PeopleBiomarkers, TumorCarcinoma, Non-Small-Cell LungCohort StudiesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedBiomarkers, TumorTransforming Growth Factor beta1

Identifiers

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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.