Evidence map›Paper›PMID 31198978›Full record

ArticleInternational journal of molecular medicine2019

Screening of differentially expressed genes and identification of NUF2 as a prognostic marker in breast cancer.

Wenjie Xu, Yizhen Wang, Yanan Wang, Shanmei Lv, Xiuping Xu, Xuejun Dong

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  6. NUF2 Promotes Breast Cancer Development as a New Tumor Stem Cell Indicator.International journal of molecular sciences · 2023
    Article
  7. Article
  8. Construction of a prognostic model of luteolin for endometrial carcinoma.American journal of translational research · 2023
    Article
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  13. Frontiers in oncology · 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

6 authors at 2 institutions in 1 country.

Wenjie XuDepartment of Clinical Laboratory Center, Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing, Zhejiang 312000, P.R. China.
Yizhen WangDepartment of Clinical Laboratory Center, Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing, Zhejiang 312000, P.R. China.
Yanan WangDepartment of Clinical Laboratory Center, Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing, Zhejiang 312000, P.R. China.
Shanmei LvDepartment of Clinical Laboratory Center, Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing, Zhejiang 312000, P.R. China.
Xiuping XuDepartment of Clinical Laboratory Center, Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing, Zhejiang 312000, P.R. China.
Xuejun DongDepartment of Clinical Laboratory Center, Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing, Zhejiang 312000, P.R. China.
Shaoxing People's Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of the present study were to screen differentially expressed genes (DEGs) in breast cancer (BC) and investigate NDC80 kinetochore complex component (NUF2) as a prognostic marker of BC in detail. A total of four BC microarray datasets, downloaded from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, were used to screen DEGs. A total of 190 DEGs with the same expression trends were identified in the 4 datasets, including 65 upregulated and 125 downregulated DEGs. Functional and pathway enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery. The upregulated DEGs were enriched for 10 Gene Ontology (GO) terms and 7 pathways, and the downregulated DEGs were enriched for 10 GO terms and 10 pathways. A protein‑protein interaction network containing 149 nodes and 930 edges was constructed using the Search Tool for the Retrieval of Interacting Genes, and 2 functional modules were identified using the MCODE plugin of Cytoscape. Based on an in‑depth analysis of module 1 and literature mining, NUF2 was selected for further research. Oncomine database analysis and reverse transcription‑quantitative PCR showed that NUF2 is significantly upregulated in BC tissues. In analyses of correlations between NUF2 and clinical pathological characteristics, NUF2 was significantly associated with the malignant features of BC. Using 5 additional datasets from GEO, it was demonstrated that NUF2 has a significant prognostic role in both ER‑positive and ER‑negative BC. A Gene Set Enrichment Analysis indicated that NUF2 may regulate breast carcinogenesis and progression via cell cycle‑related pathways. The results of the present study demonstrated that NUF2 is overexpressed in BC and is significantly associated with its multiple pathological features and prognosis.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticBreast NeoplasmsCell Cycle ProteinsFemaleGene OntologyGene Regulatory NetworksHumansMiddle AgedPrognosisTranscriptomeCell Cycle ProteinsNUF2 protein, human

Identifiers

PMID31198978
PMCPMC6605639
OpenAlexW2949129555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-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.