Evidence map›Paper›PMID 29384843›Full record

ArticleMedicine2018

The expression and significance of microRNA in different stages of colorectal cancer.

Binbin Du, Dewang Wu, Xiongfei Yang, Tao Wang, Xinlong Shi, Yaochun Lv, Zhuolong Zhou, Qing Liu, Weisheng Zhang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  3. 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

9 authors at 2 institutions in 1 country.

Binbin DuDepartment of Colorectal Surgery, Gansu Provincial Hospital, Lanzhou Department of Surgery, Ningxia Medical University, Yinchuan School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Dewang Wu
Xiongfei Yang
Tao Wang
Xinlong Shi
Yaochun Lv
Zhuolong Zhou
Qing Liu
Weisheng Zhang
Gansu Provincial Hospital · CNUniversity of Shanghai for Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to compare microRNA expression patterns in different stages of colorectal cancer (CRC) and to discuss the significance of the application of microRNAs in the clinical treatment of CRC.

methodsThe study used gene chip technology to analyze genetic sequences in CRC tissues and surrounding normal tissues at different cancer stages. The bioinformatics profiles of the target genes of the different microRNAs were analyzed to clarify the target gene-related pathways and their functions in the disease.

resultsA total of 368 target genes with differential expression, including 275 upregulated and 93 downregulated genes, were screened from CRC patients in different stages of the disease. These microRNAs participated widely in the occurrence and development processes of CRC. The microRNA expression profiles obviously differed in tissues at different CRC stages.

conclusionmicroRNA regulation of CRC samples can be used as a tool to control the occurrence and development of tumor cells.

Indexed as

Biomarkers, TumorColonColonic NeoplasmsComputational BiologyDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMicroRNAsNeoplasm StagingOligonucleotide Array Sequence AnalysisRectumBiomarkers, TumorMicroRNAs

Identifiers

PMID29384843
PMCPMC5805415
OpenAlexW2792737812

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.