Evidence map›Paper›PMID 27983528›Full record

SynthesisCancer biomarkers : section A of Disease markers2017

Prognostic value of candidate microRNAs in gastric cancer: A validation study.

Lan Zhang, Zebo Huang, Huo Zhang, Mingxia Zhu, Wei Zhu, Xin Zhou, Ping Liu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Cancer biomarkers : section A of Disease markers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Review
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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.

Lan Zhang
Zebo Huang
Huo Zhang
Mingxia Zhu
Wei Zhu
Xin Zhou
Ping Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have reported the prognostic value of dysregulated microRNAs (miRNAs) in gastric cancer (GC). However, the results demonstrated so far are inconsistent.

objectiveTo better understand the miRNAs with prognostic relevance.

methodsEvaluable miRNAs were selected based on our selection criteria and further analyzed in formalin-fixed paraffin-embedded (FFPE) tissue samples of 169 GC patients using quantitative real-time polymerase chain reaction (qRT-PCR).

resultsA total of 19 miRNAs were selected as candidate miRNAs. Among those miRNAs identified, high expression of miR-21-5p was related to poor overall survival (OS) and disease free survival (DFS) and was identified as an independent prognostic factor. Cases with high level of miR-200c-3p showed poor DFS. Subgroup analysis revealed that high expression of miR-21-5p and miR-222-3p was associated with poor OS and DFS in GC patients not received adjuvant chemotherapy. In male patients, high expression level of miR-21-5p was related to poor OS and DFS.

conclusionsThe present study confirmed that elevated level of miR-21-5p could serve as an independent predictor for poor OS and DFS of GC patients. Moreover, miR-200c-3p, miR-222-3p might also play important roles in the prognosis of GC patients. Further studies are warranted to validate our findings and identify the functions and mechanisms of these miRNAs.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedBiomarkers, TumorChemotherapy, AdjuvantFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm StagingPrognosisBiomarkers, TumorMicroRNAsgastric cancerMiRNAprognosis

Identifiers

PMID27983528
PMCPMC13020602

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.