Evidence map›Paper›PMID 30228315›Full record

ArticleScientific reports2018

Serum miR-331-3p predicts tumor recurrence in esophageal adenocarcinoma.

Jianchun Gu, Jinhua Zhang, Leizhen Zheng, Jaffer A Ajani, Xifeng Wu, Yuanqing Ye

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 23 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

6 authors at 2 institutions in 2 countries.

Jianchun GuDepartments of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jinhua ZhangDepartments of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Leizhen ZhengDepartment of Oncology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jaffer A AjaniDepartments of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Xifeng WuDepartments of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA. xwu_mdacc@yahoo.com.ORCID 0000-0001-5174-3769
Yuanqing YeDepartments of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
The University of Texas MD Anderson Cancer Center · USXinHua Hospital · CN

Funding

Duncan Family Institute for Cancer Prevention and Risk Assessment (Duncan Family Institute) No grant number
6 · The paper itself

Abstract

MicroRNAs (miRNAs) may contribute to the initiation and progression of cancer. The role of circulating miRNAs as predictors of recurrence in esophageal adenocarcinoma (EAC) has not been extensively explored. Here we measured the expressions of 167 miRNAs in serum samples from a discovery cohort of 72 EAC patients (32 patients with recurrence and 40 patients without). A rank sum test was performed to identify differentially expressed miRNAs. Cox regression model was applied to estimate the effect of miRNA expression on recurrence-free survival. The eligible miRNAs were then validated in an independent cohort of 329 EAC patients (132 patients with recurrence and 197 patients without). miR-331-3p was identified and confirmed to be differentially expressed between EAC patients with and without recurrence and associated with recurrence-free survival. In both cohorts, the expression of miR-331-3p was consistently decreased in patients with recurrence compared to those without (P < 0.05). Using patients with low expression of miR-331-3p as reference, those with high expression had HRs for recurrence of 0.45 (95% CI, 0.21-0.96, P = 0.040) and 0.55 (95% CI, 0.38-0.78, P = 0.001) in the discovery and validation cohorts, respectively. Therefore, serum miR-331-3p may be a useful biomarker for identifying EAC patients at high risk of recurrence.

Indexed as

AdenocarcinomaBiomarkers, TumorChinaCohort StudiesCombined Modality TherapyEsophageal NeoplasmsFemaleFollow-Up StudiesHumansIncidenceMaleMicroRNAsMiddle AgedNeoplasm Recurrence, LocalPrognosisSurvival RateBiomarkers, TumorMicroRNAsMIRN331 microRNA, human

Identifiers

PMID30228315
PMCPMC6143616
OpenAlexW2891825408

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LicenceCC BY
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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.