Evidence map›Paper›PMID 31285741›Full record

ArticleHereditas2019

Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico.

Yun Cai, Jie Mei, Zhuang Xiao, Bujie Xu, Xiaozheng Jiang, Yongjie Zhang, Yichao Zhu

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Hereditas, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yun Cai *1Department of Physiology, Nanjing Medical University, Nanjing, 211166 China.
Jie Mei *1Department of Physiology, Nanjing Medical University, Nanjing, 211166 China.
Zhuang Xiao *1Department of Physiology, Nanjing Medical University, Nanjing, 211166 China.
Bujie Xu1Department of Physiology, Nanjing Medical University, Nanjing, 211166 China.
Xiaozheng Jiang1Department of Physiology, Nanjing Medical University, Nanjing, 211166 China.
Yongjie Zhang3Department of Human Anatomy, Nanjing Medical University, Nanjing, 211166 China.
Yichao Zhu1Department of Physiology, Nanjing Medical University, Nanjing, 211166 China.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is one of the most common endocrine cancers among females worldwide. Distant metastasis of breast cancer is causing an increasing number of breast cancer-related deaths. However, the potential mechanisms of metastasis and candidate biomarkers remain to be further explored.

resultsThe gene expression profiles of GSE102484 were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was used to screen for the most potent gene modules associated with the metastatic risk of breast cancer, and a total of 12 modules were identified based on the analysis. In the most significant module (R

conclusionFive hub genes (

Indexed as

Biomarkers, TumorComputational BiologyGene Expression ProfilingTranscriptomeBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansNeoplasm MetastasisNeoplasm StagingPrognosisProtein Interaction MappingProtein Interaction MapsReproducibility of ResultsROC CurveBiomarkers, TumorBioinformatic analysisBreast cancerMetastasisPrognosisWGCNA

Identifiers

PMID31285741
PMCPMC6588910
OpenAlexW2950582305

What OpenQuestion holds

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LicenceCC BY
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.