Evidence map›Paper›PMID 25688358›Full record

ArticleBioMed research international2015

The correlation between miRNA and lymph node metastasis in gastric cancer.

Kuo-Hung Huang, Yuan-Tzu Lan, Wen-Liang Fang, Jen-Hao Chen, Su-Shun Lo, Anna Fen-Yau Li, Shih-Hwa Chiou, Chew-Wun Wu, Yi-Ming Shyr

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  6. Low Expression of miR-491-3p Is Correlated with Lymph Node Metastasis in Gastric Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022
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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

9 authors at 1 institution in 1 country.

Kuo-Hung HuangDivision of General Surgery, Department of Surgery, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Road, Beitou District, Taipei City 11217, Taiwan ; School of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan ; Institute of Clinical Medicine, School of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan.
Yuan-Tzu LanSchool of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan ; Division of Colon & Rectal Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei City 11217, Taiwan.
Wen-Liang FangDivision of General Surgery, Department of Surgery, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Road, Beitou District, Taipei City 11217, Taiwan ; School of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan.ORCID 0000-0001-5726-1066
Jen-Hao ChenSchool of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan ; En Chu Kong Hospital, New Taipei City 237, Taiwan.
Su-Shun LoSchool of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan ; National Yang-Ming University Hospital, Yilan City 260, Taiwan.
Anna Fen-Yau LiSchool of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan ; Department of Pathology, Taipei Veterans General Hospital, Taipei City 11217, Taiwan.
Shih-Hwa ChiouInstitute of Clinical Medicine, School of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan ; Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei City 11217, Taiwan ; Institute of Pharmacology, National Yang-Ming University, Taipei City 11221, Taiwan.
Chew-Wun WuDivision of General Surgery, Department of Surgery, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Road, Beitou District, Taipei City 11217, Taiwan ; School of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan.
Yi-Ming ShyrDivision of General Surgery, Department of Surgery, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Road, Beitou District, Taipei City 11217, Taiwan ; School of Medicine, National Yang-Ming University, Taipei City 11221, Taiwan.
National Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymph node metastasis (LNM) in gastric cancer is associated with higher rate of cancer recurrence and poor prognosis. As a result, a reliable biomarker for the prediction of LNM is important and would be valuable in the clinical practice. MiRNA microarray revealed that ten miRNAs were expressed significantly different among patients with or without LNM. A total of 46 gastric cancer patients were enrolled and divided into two groups (23 in each group) according to the presence or absence of LNM. RT-PCR of these 10 miRNAs was investigated and compared between the two groups. MiR-1207-5p was significantly upregulated in gastric cancer patients without LNM compared with those with LNM. Patients with upregulated miR-1207-5p had less scirrhous stromal reaction, less lymphovascular invasion, and earlier pathological T category, N category, and TNM stage, compared with those with downregulated or unchanged miR-1207-5p. Multivariate analysis showed that stromal reaction type, lymphovascular invasion, pathological T category and TNM stage, and expression of miR-1207-5p were independent risk factors of LNM. MiR-1207-5p could serve as a useful biomarker in the prediction of LNM in gastric cancer.

Indexed as

Stomach NeoplasmsAgedBiomarkers, TumorFemaleGene Expression ProfilingHumansLymphatic MetastasisMaleMicroRNAsMiddle AgedProspective StudiesRisk FactorsBiomarkers, TumorMicroRNAs

Identifiers

PMID25688358
PMCPMC4320935
OpenAlexW2029306979

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.