Evidence map›Paper›PMID 30122983›Full record

ArticleCancer management and research2018

Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma.

Lingping Zhu, Zhiqun Shu, Xiaoming Sun

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Identification of Key Genes Associated with Brain Metastasis from Breast Cancer: A Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2022
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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

3 authors at 2 institutions in 1 country.

Lingping ZhuDepartment of General Practice, Shenzhen Longhua District Central Hospital, Shenzhen, People's Republic of China.
Zhiqun ShuPudong Institute for Health Development, Shanghai, People's Republic of China, xm_sun2003@aliyun.com.
Xiaoming SunDepartment of General Practice, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China, xm_sun2003@aliyun.com.
Shanghai Pudong Institute of Education Development · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to investigate the expression of different miRNAs in nonmetastatic and metastatic endometrial cancer Existing evidence indicates that there are many factors affecting the metastasis of endometrial cancer, and miRNAs play an unique role in many processes of endometiral cancer. MATERIALS AND

methodsmiRNA sequences were downloaded from The Cancer Genome Atlas Project database, and Bioinformatics technique was used to deal with those data.

resultsWe elucidated the relation between differentially expressed miRNAs and clinical information for a total of 260 tumor tissues and 22 tumor tissues that had metastasized. We used the threshold of

conclusionThe current study indicates that these four miRNAs may be related to molecular markers of metastasis of endometrial cancer.

Indexed as

bioinformaticsendometrial cancermiR-1247protein analysis

Identifiers

PMID30122983
PMCPMC6078085
OpenAlexW2885495758

What OpenQuestion holds

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LicenceCC BY-NC
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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.