Evidence map›Paper›PMID 26722365›Full record

ReviewJournal of Cancer2016

Comparison of Prognostic MicroRNA Biomarkers in Blood and Tissues for Gastric Cancer.

Wenying Yan, Laijun Qian, Jiajia Chen, Weichang Chen, Bairong Shen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Prognostic value of candidate microRNAs in gastric cancer: A validation study.Cancer biomarkers : section A of Disease markers · 2017
    Pooled it
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  12. World journal of gastroenterology · 2016
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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

5 authors.

Wenying Yan1. Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China; ; 2. Taicang Center for Translational Bioinformatics, Taicang 215400, China; ; 3. Center for Systems Biology, Soochow University, Suzhou 215006, China;
Laijun Qian4. Daibu Center Hospital, Liyang, 213330, China;
Jiajia Chen5. School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou 215011, China.
Weichang Chen1. Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China;
Bairong Shen3. Center for Systems Biology, Soochow University, Suzhou 215006, China;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) still keeps up high mortality worldwide with poor prognosis. Efficient and non-invasive prognostic biomarkers are urgently needed. MicroRNAs are non-coding RNAs playing roles in post-transcriptional gene regulation, which contribute to various biological processes such as development, differentiation and carcinogenesis. MicroRNA expression profiles have been associated with the prognosis and outcome in GC. MicroRNA prognostic biomarkers have been identified from blood or tissues samples, but with different prognostic features. Understanding the various roles of microRNAs in different sample sources of GC will provide deep insights into GC progression. In this review, we highlight the distinct prognostic roles of microRNAs biomarkers in blood and tissue according to their relationships with prognostic parameters, survival rates and target pathways. This will be useful for non-invasive biomarker development and selection in prognosis of GC.

Indexed as

bloodgastric cancermicroRNAprognostic biomarkertissues

Identifiers

PMID26722365
PMCPMC4679386

What OpenQuestion holds

Textmetadata
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.