Evidence map›Paper›PMID 32156290›Full record

ArticleWorld journal of surgical oncology2020

Identification of key differentially expressed genes and gene mutations in breast ductal carcinoma in situ using RNA-seq analysis.

Congyuan Zhu, Hao Hu, Jianping Li, Jingli Wang, Ke Wang, Jingqiu Sun

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 17 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

6 authors at 2 institutions in 1 country.

Congyuan ZhuDepartment of General Surgery, the Affiliated Hospital of Jiangnan University (original area of Wuxi Third People's Hospital), No. 585 North Xingyuan Road, Liangxi District, Wuxi, 214002, Jiangsu, China. brlxl2001@126.com.
Hao HuDepartment of General Surgery, the Affiliated Hospital of Jiangnan University (original area of Wuxi Third People's Hospital), No. 585 North Xingyuan Road, Liangxi District, Wuxi, 214002, Jiangsu, China.
Jianping LiDepartment of General Surgery, the Affiliated Hospital of Jiangnan University (original area of Wuxi Third People's Hospital), No. 585 North Xingyuan Road, Liangxi District, Wuxi, 214002, Jiangsu, China. brlxl2001@126.com.
Jingli WangDepartment of General Surgery, the Affiliated Hospital of Jiangnan University (original area of Wuxi Third People's Hospital), No. 585 North Xingyuan Road, Liangxi District, Wuxi, 214002, Jiangsu, China.
Ke WangDepartment of General Surgery, the Affiliated Hospital of Jiangnan University (original area of Wuxi Third People's Hospital), No. 585 North Xingyuan Road, Liangxi District, Wuxi, 214002, Jiangsu, China.
Jingqiu SunDepartment of General Surgery, the Affiliated Hospital of Jiangnan University (original area of Wuxi Third People's Hospital), No. 585 North Xingyuan Road, Liangxi District, Wuxi, 214002, Jiangsu, China.
Wuxi Fourth People's Hospital · CNWuxi Third People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to identify the key differentially expressed genes (DEGs) and high-risk gene mutations in breast ductal carcinoma in situ (DCIS).

methodsRaw data (GSE36863) were downloaded from the database of Gene Expression Omnibus (GEO), including three DCIS samples (DCIS cell lines MCF10.DCIS, Sum102, and Sum225) and one normal control sample (normal mammary epithelial cell line MCF10A). The DEGs were analyzed using NOIseq and annotated via DAVID. Motif scanning in the promoter region of DEGs was performed via SeqPos. Additionally, single nucleotide variations (SNVs) were identified via GenomeAnalysisTK and SNV risk was assessed via VarioWatch. Mutant genes with a high frequency and risk were validated by RT-PCR analyses.

resultsFinally, 5391, 7073, and 7944 DEGs were identified in DCIS, Sum102, and Sum22 cell lines, respectively, when compared with MCF10A. VENN analysis of the three cell lines revealed 603 upregulated and 1043 downregulated DEGs, including 16 upregulated and 36 downregulated transcription factor (TF) genes. In addition, six TFs each (e.g., E2F1 and CREB1) were found to regulate the core up- and downregulated DEGs, respectively. Furthermore, SNV detection results revealed 1104 (MCF10.DCIS), 2833 (Sum102), and 1132 (Sum22) mutation sites. Four mutant genes (RWDD4, SDHC, SEPT7, and SFN) with high frequency and risk were identified. The results of RT-PCR analysis as well as bioinformatics analysis consistently demonstrated that the expression of RWDD4, SDHC, SEPT7, and SFN was downregulated in the tumor tissues as compared with that in adjacent non-tumor tissues.

conclusionsThe differentially expressed TFs, TFs regulating DEGs (e.g., E2F1 and CREB1), and high-frequency mutant genes (RWDD4, SDHC, SEPT7, and SFN) might play key roles in the pathogenesis of DCIS.

Indexed as

MutationBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansPolymorphism, Single NucleotideSequence Analysis, RNATranscription FactorsTranscription FactorsBreast ductal carcinoma in situDifferentially expressed genesMutant genesRNA-Seq analysisTranscription factor

Identifiers

PMID32156290
PMCPMC7063758
OpenAlexW3010975245

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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.