Evidence map›Paper›PMID 28766861›Full record

SynthesisThoracic cancer2017

Overexpression of NRF2 is correlated with prognoses of patients with malignancies: A meta-analysis.

Yangyang Guo, Luyan Shen

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Thoracic cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 37% 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, 40 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

2 authors at 2 institutions in 2 countries.

Yangyang GuoDepartment of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Luyan ShenDepartment of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Peking University · CNPeking University Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious published research has demonstrated that NRF2 expression is a poor prognostic factor for many malignancies. However, because of the small sample enrolled in a single study, it is difficult to draw valuable conclusions. Therefore, we hypothesized that NRF2 overexpression in cancer tissues may be associated with the prognoses of patients with solid malignancies, and conducted a systemic review and meta-analysis.

methodsA comprehensive search of PubMed, Web of Science, Science Direct, Embase, and Ovid databases for relevant studies regarding the role of NRF2 expression in solid malignancies was conducted. Hazard ratios (HR) and 95% confidence intervals (CIs) were extracted from these studies to provide pooled estimates of the effect of NRF2 expression on patients' overall and disease-free survival.

resultsNine studies met the criteria for analysis. Statistical analysis demonstrated that compared to patients with low NRF2 expression, patients with overexpression of NRF2 had poorer overall survival (HR 2.01, 95% CI 1.57-2.56; P < 0.001) and disease-free survival (HR 3.25, 95% CI 1.29-8.15; P = 0.025).

conclusionPublished evidence of the role of NRF2 expression in survival of cancer patients is limited. This analysis supports the view that NRF2 overexpression is a poor prognostic factor for solid malignancies, thus optimizing treatment for patients with NRF2 overexpression may improve their overall survival.

Indexed as

Up-RegulationDisease-Free SurvivalGene Expression Regulation, NeoplasticHumansNeoplasmsNF-E2-Related Factor 2PrognosisProportional Hazards ModelsNFE2L2 protein, humanNF-E2-Related Factor 2Meta analysisneoplasmsNRF2prognosissurvival analysis

Identifiers

PMID28766861
PMCPMC5668508
OpenAlexW2739667433

What OpenQuestion holds

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LicenceCC BY-NC
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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.