Evidence map›Paper›PMID 33323542›Full record

ArticleAging2020

miR-588 is a prognostic marker in gastric cancer.

Yongyi Chen, Jie Zhang, Wangang Gong, Wumin Dai, Xiaohong Xu, Songxiao Xu

Abstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Mechanisms of chemoresistance in gastric cancer: interplay between microRNAs and the tumor microenvironment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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  3. CD8 + T Cells in Gastrointestinal Cancer: a Perspective on Targeting MicroRNA.Journal of molecular medicine (Berlin, Germany) · 2025
    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

6 authors.

Yongyi ChenThe Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Jie ZhangZhejiang Provincial Center for Drug and Medical Device Procurement, Hangzhou, China.
Wangang GongThe Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Wumin DaiThe Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Xiaohong XuThe Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Songxiao XuThe Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an effort to identify a novel microRNA (miRNA) as a gastric cancer (GC) treatment target and prognostic biomarker, we surveyed The Cancer Genome Atlas database and found that miR-588 expression is low in GC tissues. This was confirmed by real-time reverse transcription polymerase chain reaction assays of GC patient plasma samples and SGC7901 and MNK28 cells. A constructed miRNA-mRNA network showed that CXCL5, CXCL9, and CXCL10 are target genes of miR-588. Analysis of the miRWalk database revealed that miR-588 directly binds to CXCL5 and CXCL9. Overexpression of miR-588 reduced GC cell proliferation

Indexed as

AdenocarcinomaAnimalsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCell Line, TumorCell ProliferationChemokine CXCL10Chemokine CXCL5Chemokine CXCL9Gene Knock-In TechniquesHumansIn Vitro TechniquesLymphocytes, Tumor-InfiltratingMiceMice, NudeMicroRNAsChemokine CXCL10Chemokine CXCL5Chemokine CXCL9CXCL10 protein, humanCXCL5 protein, humanCXCL9 protein, humanMicroRNAsMIRN588 microRNA, humanbioinformatics analysisgastric cancerimmune infiltrationmiR-588

Identifiers

PMID33323542
PMCPMC7880400

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.