Evidence map›Paper›PMID 34341433›Full record

ArticleScientific reports2021

CENPL, ISG20L2, LSM4, MRPL3 are four novel hub genes and may serve as diagnostic and prognostic markers in breast cancer.

Jinbao Yin, Chen Lin, Meng Jiang, Xinbin Tang, Danlin Xie, Jingwen Chen, Rongqin Ke

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 40 citations in OpenAlex.

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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 at 1 institution in 1 country.

Jinbao YinSchool of Medicine, Huaqiao University, Quanzhou, 362021, Fujian, China.
Chen LinSchool of Medicine, Huaqiao University, Quanzhou, 362021, Fujian, China.
Meng JiangSchool of Medicine, Huaqiao University, Quanzhou, 362021, Fujian, China.
Xinbin TangSchool of Medicine, Huaqiao University, Quanzhou, 362021, Fujian, China.
Danlin XieSchool of Medicine, Huaqiao University, Quanzhou, 362021, Fujian, China.
Jingwen ChenSchool of Medicine, Huaqiao University, Quanzhou, 362021, Fujian, China.
Rongqin KeSchool of Medicine, Huaqiao University, Quanzhou, 362021, Fujian, China. rke@hqu.edu.cn.
Huaqiao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a highly prevalent disease among women worldwide, breast cancer remains in urgent need of further elucidation its molecular mechanisms to improve the patient outcomes. Identifying hub genes involved in the pathogenesis and progression of breast cancer can potentially help to unveil mechanism and also provide novel diagnostic and prognostic markers. In this study, we integrated multiple bioinformatic methods and RNA in situ detection technology to identify and validate hub genes. EZH2 was recognized as a key gene by PPI network analysis. CENPL, ISG20L2, LSM4, MRPL3 were identified as four novel hub genes through the WGCNA analysis and literate search. Among these, many studies on EZH2 in breast cancer have been reported, but no studies are related to the roles of CENPL, ISG20L2, MRPL3 and LSM4 in breast cancer. These four novel hub genes were up-regulated in tumor tissues and associated with cancer progression. The receiver operating characteristic analysis and Kaplan-Meier survival analysis indicated that these four hub genes are promising candidate genes that can serve as diagnostic and prognostic biomarkers for breast cancer. Moreover, these four newly identified hub genes as aberrant molecules in the maintenance of breast cancer development, their exact functional mechanisms deserve further in-depth study.

Indexed as

Biomarkers, TumorBreast NeoplasmsGene Expression Regulation, NeoplasticComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHumansKaplan-Meier EstimatePrognosisProtein Interaction MapsRNA-Binding ProteinsBiomarkers, TumorRNA-Binding Proteins

Identifiers

PMID34341433
PMCPMC8328991
OpenAlexW3191737347

What OpenQuestion holds

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LicenceCC BY
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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.