Evidence map›Paper›PMID 26577857›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

GSTT1 and GSTM1 polymorphisms predict treatment outcome for breast cancer: a systematic review and meta-analysis.

Xue-Ying Hu, Xiang-Yang Huang, Jie Ma, Yang Zuo, Ning-Bin Luo, Shao-Lv Lai, Dan-Ke Su

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Xue-Ying HuDepartment of Radiology, Affiliated Oncology Hospital of Guangxi Medical University, 71 Hedi Road, Nanning, 530021, Guangxi, People's Republic of China.
Xiang-Yang HuangDepartment of Radiology, Affiliated Oncology Hospital of Guangxi Medical University, 71 Hedi Road, Nanning, 530021, Guangxi, People's Republic of China.
Jie MaDepartment of Radiology, Affiliated Oncology Hospital of Guangxi Medical University, 71 Hedi Road, Nanning, 530021, Guangxi, People's Republic of China.
Yang ZuoDepartment of Radiology, Affiliated Oncology Hospital of Guangxi Medical University, 71 Hedi Road, Nanning, 530021, Guangxi, People's Republic of China.
Ning-Bin LuoDepartment of Radiology, Affiliated Oncology Hospital of Guangxi Medical University, 71 Hedi Road, Nanning, 530021, Guangxi, People's Republic of China.
Shao-Lv LaiDepartment of Radiology, Affiliated Oncology Hospital of Guangxi Medical University, 71 Hedi Road, Nanning, 530021, Guangxi, People's Republic of China.
Dan-Ke SuDepartment of Radiology, Affiliated Oncology Hospital of Guangxi Medical University, 71 Hedi Road, Nanning, 530021, Guangxi, People's Republic of China. doctorsu0771@sina.com.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observational studies have reported controversial results on the association between GSTT1 and GSTM1 genotypes and treatment outcome of breast cancer. The purpose of this study is to evaluate the association between GSTT1 and GSTM1 and treatment outcome in breast cancer patients. Eligible studies were searched in PubMed, EMBASE, Cochrane Library, and China National Knowledge Infrastructure databases. A random-effect model or fixed-effect model was used to calculate the overall combined risk estimates. Twenty-one studies with a total of 4990 patients were included in this meta-analysis. The GSTM1 null genotype (odds ratio (OR) = 1.33, 95 % confidence interval (CI) 1.01-1.75, P = 0.046) and GSTT1/GSTM1 double null genotype (OR = 2.22, 95 % CI 1.02-4.84, P = 0.045) were significantly associated with an increased tumor response. A reduced overall survival (hazard ratio (HR) = 0.84, 95 % CI 0.72-0.98, P = 0.024) was observed in GSTM1 null genotype, especially in mixed descent (HR = 0.77, 95 % CI 0.61-0.96, P = 0.018) and large sample size (HR = 0.85, 95 % CI 0.72-0.99, P = 0.033). Evidence of publication bias was observed in GSTM1 genotype rather than in GSTT1 genotype. This meta-analysis suggests that GSTM1 null and GSTT1/GSTM1 double null polymorphisms might be significantly associated with an increased tumor response. However, the GSTM1 null genotype might be significantly associated with a reduced overall survival. Future studies are warranted to confirm these findings.

Indexed as

Polymorphism, GeneticBreast NeoplasmsGenotypeGlutathione TransferaseHumansOdds RatioPrognosisProportional Hazards ModelsTreatment Outcomeglutathione S-transferase T1Glutathione TransferaseBreast cancerGSTM1GSTT1Meta-analysisTreatment outcome

Identifiers

PMID26577857
OpenAlexW2467396851

What OpenQuestion holds

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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.