Evidence map›Paper›PMID 30941921›Full record

ArticleMolecular genetics & genomic medicine2019

Association between polymorphisms of MIR17HG and risk of colorectal cancer in the Chinese Han population.

Peng Chen, Yuwei Bai, Yaru Li, Yuemin Yuan, Yimin Cheng, Jianjian Pang, Hongli Zhu, Chao Chen

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. 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
0.8field-weighted citation impact, top 33% 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, 13 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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  9. The Genetic Polymorphisms in theBioMed research international · 2020
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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

8 authors at 2 institutions in 1 country.

Peng ChenThe National Engineering Research Centre for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, P.R. China.
Yuwei BaiThe National Engineering Research Centre for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, P.R. China.
Yaru LiThe National Engineering Research Centre for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, P.R. China.
Yuemin YuanThe National Engineering Research Centre for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, P.R. China.
Yimin ChengThe National Engineering Research Centre for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, P.R. China.
Jianjian PangXi'an Chest Hospital, Xi'an, P.R. China.
Hongli ZhuThe National Engineering Research Centre for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, P.R. China.
Chao ChenThe National Engineering Research Centre for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, P.R. China.ORCID 0000-0002-3608-589X
Northwest University · CNXi'an Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer is the third most common cancer worldwide. Recently, an increasing number of evidences suggest that genetic susceptibility plays an important role in the occurrence of colorectal cancer. This study aimed to better understand the influence of MIR17HG polymorphisms on colorectal cancer susceptibility in the Chinese Han population.

methodsWe recruited 514 patients with colorectal cancer and 510 healthy controls to investigate the association between polymorphisms of MIR17HG and risk of colorectal cancer in the Chinese Han population. Genotyping was performed with the Agena MassARRAY platform. We used the χ

resultsOverall analysis found that rs7336610 and rs1428 and haplotype CTAGA were significantly associated with increased risk of colorectal cancer. However, we found rs7318578 was associated with a decreased risk of colorectal cancer in the dominant model. Stratification analysis showed that rs7336610, rs7318578, and rs1428 were also associated with rectal cancer risk. Gender stratification analysis found that rs7336610, rs7318578, rs17735387, and rs1428 were significantly associated with colorectal cancer risk in males.

conclusionIn conclusion, this study indicated that the polymorphisms of MIR17HG were associated with colorectal cancer risk. Therefore, our findings may provide new insights into the development of colorectal cancer. Further association and functional studies are of great importance to confirm these results and to define the potential biological mechanism of colorectal cancer.

Indexed as

AgedAllelesAsian PeopleCase-Control StudiesChinaColonic NeoplasmsColorectal NeoplasmsEthnicityFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHaplotypesHumansLinkage DisequilibriumMicroRNAsMIR17HG, humanMIRN17 microRNA, humanRNA, Long Noncodingcase-control studycolorectal cancerMIR17HGsingle nucleotide polymorphismssusceptibility

Identifiers

PMID30941921
PMCPMC6565593
OpenAlexW2928718373

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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.