Evidence map›Paper›PMID 26233325›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2016

Circulating microRNA-203 predicts metastases, early recurrence, and poor prognosis in human gastric cancer.

Hiroki Imaoka, Yuji Toiyama, Masato Okigami, Hiromi Yasuda, Susumu Saigusa, Masaki Ohi, Koji Tanaka, Yasuhiro Inoue, Yasuhiko Mohri, Masato Kusunoki

Open access · bronzeAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
5.0field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 87 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

10 authors at 1 institution in 1 country.

Hiroki ImaokaDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Yuji ToiyamaDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan. ytoi0725@clin.medic.mie-u.ac.jp.
Masato OkigamiDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Hiromi YasudaDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Susumu SaigusaDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Masaki OhiDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Koji TanakaDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Yasuhiro InoueDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Yasuhiko MohriDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Masato KusunokiDepartment of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Mie University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastasis is a major cause of death in patients with gastric cancer (GC). MicroRNAs (miRNAs) relating to the epithelial-mesenchymal transition (EMT) control GC progression and metastasis. The aim of this study was to evaluate serum EMT-associated miRNAs for metastatic and prognostic noninvasive biomarkers in GC.

methodsIn the first step of this study (preliminary experiments), we selected candidate miRNAs associated with metastasis by analyzing the expression of the miR-200 family (miR-200a, miR-200b, miR-200c, miR-141, and miR-429) and miR-203 in serum samples from stage I (n = 12) and stage IV (n = 12) GC patients. The second phase involved the independent validation of candidate miRNAs in serum specimens from 130 patients with GC and 22 controls.

resultsBased on the preliminary experiments, miR-203 was selected as the candidate serum miRNA that was most closely associated with metastasis. Validation analysis revealed that serum miR-203 levels were significantly lower in stage IV than stage I-III GC patients. Serum miR-203 expression was significantly lower in GC patients with a higher T stage, vessel invasion, and lymph node, peritoneal, and distant metastases. Low expression of serum miR-203 was significantly associated with poor disease-free and overall survival. Multivariate analysis revealed that low serum miR-203 expression was an independent predictive marker for lymph node, peritoneal, and distant metastases and a poor prognosis in patients with GC.

conclusionsSerum miR-203 has the potential to serve as a noninvasive biomarker for prognosis and to predict metastasis in patients with GC.

Indexed as

AdenocarcinomaAgedBiomarkers, TumorCase-Control StudiesDisease ProgressionFemaleFollow-Up StudiesGastrectomyHumansLiver NeoplasmsLymphatic MetastasisMaleMicroRNAsNeoplasm InvasivenessNeoplasm StagingPeritoneal NeoplasmsBiomarkers, TumorMicroRNAsMIRN203 microRNA, humanRNA, MessengerGastric cancermiR-203Noninvasive biomarkerSerum

Identifiers

PMID26233325
OpenAlexW954566567

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.