Evidence map›Paper›PMID 33005492›Full record

ArticlePeerJ2020

Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer.

Xiuming Zhai, Zhaowei Yang, Xiji Liu, Zihe Dong, Dandan Zhou

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-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

15 citing papers in PubMed, 40 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Xiuming ZhaiDepartment of Laboratory Medicine, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhaowei YangDepartment of Breast and Thyroid, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Xiji LiuDepartment of Laboratory Medicine, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zihe DongDepartment of Laboratory Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Dandan ZhouDepartment of Laboratory Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
First People's Hospital of Chongqing · CNChongqing Medical University · CNThird People 's Hospital of Chongqing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is a heterogeneous disease. Compared with other subtypes of breast cancer, triple-negative breast cancer (TNBC) is easy to metastasize and has a short survival time, less choice of treatment options. Here, we aimed to identify the potential biomarkers to TNBC diagnosis and prognosis. MATERIAL/

methodsThree independent data sets (GSE45827, GSE38959, GSE65194) were downloaded from the Gene Expression Omnibus (GEO). The R software packages were used to integrate the gene profiles and identify differentially expressed genes (DEGs). A variety of bioinformatics tools were used to explore the hub genes, including the DAVID database, STRING database and Cytoscape software. Reverse transcription quantitative PCR (RT-qPCR) was used to verify the hub genes in 14 pairs of TNBC paired tissues.

resultsIn this study, we screened out 161 DEGs between 222 non-TNBC and 126 TNBC samples, of which 105 genes were up-regulated and 56 were down-regulated. These DEGs were enriched for 27 GO terms and two pathways. GO analysis enriched mainly in "cell division", "chromosome, centromeric region" and "microtubule motor activity". KEGG pathway analysis enriched mostly in "Cell cycle" and "Oocyte meiosis". PPI network was constructed and then 10 top hub genes were screened. According to the analysis results of the Kaplan-Meier survival curve, the expression levels of only NUF2, FAM83D and CENPH were associated with the recurrence-free survival in TNBC samples (

conclusionsThe comprehensive analysis showed that NUF2 and FAM83D could be used as potential biomarkers for diagnosis and prognosis of TNBC.

Indexed as

BioinformaticsBiomarkerRT-qPCRTriple-negative breast cancer

Identifiers

PMID33005492
PMCPMC7513746
OpenAlexW3088262649

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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.