Evidence map›Paper›PMID 28562579›Full record

SynthesisMedicine2017

MicroRNAs in the prognosis of triple-negative breast cancer: A systematic review and meta-analysis.

Lingshuang Lü, Xuhua Mao, Peiyi Shi, Biyu He, Kun Xu, Simin Zhang, Jianming Wang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 5 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

57 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  14. Inhibition of MiR-155 Using Exosomal Delivery of Antagomir Can Up-RegulateEndocrine, metabolic & immune disorders drug targets · 2024
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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

7 authors.

Lingshuang LüDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing Department of Clinical Laboratory, Yixing People's Hospital, Wuxi Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University The Innovation Center for Social Risk Governance in Health, Nanjing, China.
Xuhua Mao
Peiyi Shi
Biyu He
Kun Xu
Simin Zhang
Jianming Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriple-negative breast cancer (TNBC) is a heterogeneous group of tumors characterized by their aggressive nature and poor associated survival. MicroRNAs (miRs) have been found to play an important role in the occurrence and development of human cancers, but their role in the prognosis of TNBC patients remains unclear. We performed a meta-analysis to explore the prognostic value of miRs in TNBC.

methodsWe systematically searched the PubMed, Embase, and Web of Science databases to identify eligible studies. A meta-analysis was performed to estimate the pooled hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs) for the associations between levels of miR expression (predictive factors) and overall survival (OS) and disease-free survival (DFS) (outcomes) in patients with TNBC.

resultsAfter performing the literature search and review, 21 relevant studies including 2510 subjects were identified. Six miRs (miR-155, miR-21, miR-27a/b, miR-374a/b, miR-210, and miR-454) were assessed in the meta-analysis. Decreased expression of miR-155 was associated with reduced OS (adjusted HR = 0.58, 95% CI: 0.34-0.99; crude HR = 0.67, 95% CI: 0.58-0.79). High miR-21 expression was also predictive of reduced OS (crude HR = 2.50, 95% CI: 1.56-4.01). We found that elevated levels of miR-27a/b, miR-210, and miR-454 expression were associated with shorter OS, while the levels of miR-454 and miR-374a/b expression were associated with DFS.

conclusionsSpecific miRs could serve as potential prognostic biomarkers in TNBC. Due to the limited research available, the clinical application of these findings has yet to be verified.

Indexed as

Biomarkers, TumorHumansMicroRNAsPrognosisTriple Negative Breast NeoplasmsBiomarkers, TumorMicroRNAs

Identifiers

PMID28562579
PMCPMC5459744

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.