Evidence map›Paper›PMID 29440914›Full record

ArticleOncoTargets and therapy2018

Associations between ABCG2 gene polymorphisms and gefitinib toxicity in non-small cell lung cancer: a meta-analysis.

Lina Tang, Chunling Zhang, Hairong He, Zhenyu Pan, Di Fan, Yinli He, Haisheng You, Yuanjie Li

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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, 1 synthesis or guideline pooled it, 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

8 authors at 3 institutions in 1 country.

Lina Tang *Department of Pharmacy, The First Affiliated Hospital, Xi'an Jiao Tong University, Xi'an, China.
Chunling Zhang *Department of Pharmacy, Hong-Hui Hospital, Xi'an Jiao Tong University College of Medicine, Xi'an, China.
Hairong HeClinical Research Center, The First Affiliated Hospital, Xi'an Jiao Tong University, Xi'an, China.
Zhenyu PanClinical Research Center, The First Affiliated Hospital, Xi'an Jiao Tong University, Xi'an, China.
Di FanDepartment of Pharmacy, The First Affiliated Hospital, Xi'an Jiao Tong University, Xi'an, China.
Yinli HeDepartment of Pharmacy, The First Affiliated Hospital, Xi'an Jiao Tong University, Xi'an, China.
Haisheng YouDepartment of Pharmacy, The First Affiliated Hospital, Xi'an Jiao Tong University, Xi'an, China.
Yuanjie LiDepartment of Human Anatomy, Histology and Embryology, School of Basic Medical Sciences, Xi'an Jiao Tong University Health Science Center, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Honghui Hospital · CNXi'an Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGefitinib is frequently used to treat patients with non-small cell lung cancer (NSCLC) and is excreted out from cells via the ATP-binding cassette transporter ABCG2. ABCG2 gene polymorphisms have been suggested to be associated with ABCG2 protein expression and function and may influence the risk of gefitinib toxicity in NSCLC patients. Previous studies on the associations between ABCG2 gene polymorphisms and the toxicity of gefitinib in NSCLC patients have produced conflicting results. The aim of this meta-analysis was to determine whether ABCG2 gene polymorphisms are associated with the risk of gefitinib-induced toxicity in NSCLC patients.

methodsThe PubMed and EMBASE databases were searched systematically for all eligible studies. A relative risk with corresponding 95% CI was calculated to evaluate the associations between ABCG2 gene polymorphisms and gefitinib-induced toxicity.

resultsData were finally extracted from seven studies and 515 patients were found to meet the inclusion criteria of the meta-analysis. A dominant model showed that there was no significant association between the ABCG2 C421A polymorphism and the risk of gefitinib-induced toxicity, while the ABCG2 G34A polymorphism might be associated with an increased risk of skin toxicity in gefitinib therapy (relative risk =1.54, 95% CI 1.08-2.21,

conclusionWhile the ABCG2 C421A polymorphism might not be a reliable marker of gefitinib-related toxicity, the ABCG2 G34A genotype may be predictive of the skin toxicity of gefitinib in NSCLC patients. These conclusions need to be verified in further large-scale studies.

Indexed as

ABCG2gefitinibmeta-analysisNSCLCpolymorphismtoxicity

Identifiers

PMID29440914
PMCPMC5798561
OpenAlexW2788393042

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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.