Evidence map›Paper›PMID 28096682›Full record

ArticleOncoTargets and therapy2017

Decreased miR-503 expression in gastric cancer is inversely correlated with serum carcinoembryonic antigen and acts as a potential prognostic and diagnostic biomarker.

Daoyi Wu, Gaojian Cao, Zhenfeng Huang, Kai Jin, Haowei Hu, Jie Yu, Yu Zeng

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Serum miR-551b-3p is a potential diagnostic biomarker for gastric cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2019
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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.

Daoyi WuDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, People's Republic of China.
Gaojian CaoDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, People's Republic of China.
Zhenfeng HuangDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, People's Republic of China.
Kai JinDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, People's Republic of China.
Haowei HuDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, People's Republic of China.
Jie YuDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, People's Republic of China.
Yu ZengDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAltered expression of miR-503 has been linked to human carcinogenesis. In this present study, we aimed to detect the potential for miR-503 as a novel biomarker for gastric cancer (GC) patients. MATERIALS AND

methodsThe relative mRNA level of miR-503 in serum and tissue of 68 GC patients and serum of 32 healthy volunteers was determined by real-time reverse transcription quantitative polymerase chain reaction.

resultsThe miR-503 level was significantly lower in the tissue and serum of GC than their counterparts (all

conclusionThe present study suggests that the expression level of miR-503 may serve as prognostic and diagnostic biomarker for GC.

Indexed as

biomarkerdiagnosisgastric cancermicroRNAprognosis

Identifiers

PMID28096682
PMCPMC5207439

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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.