ArticleAnnals of translational medicine2020
RNA-sequencing and microarray data mining revealing: the aberrantly expressed mRNAs were related with a poor outcome in the triple negative breast cancer patients.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
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- The Multifaceted Role of Signal Peptide-CUB-EGF Domain-Containing Protein (SCUBE) in Cancer.International journal of molecular sciences · 2022Review
- MammaPrint and BluePrint comprehensively capture the cancer hallmarks in early-stage breast cancer patients.Genes, chromosomes & cancer · 2022Article
- Proteomic analysis of arylamineToxicology reports · 2022Article
- Antibiotics Attenuate Methamphetamine-Induced Hepatotoxicity by Regulating Oxidative Stress and TLR4/MyD88/Traf6 Axis.Frontiers in pharmacology · 2021Article
- Localized pemphigus exacerbation associated with underlying breast cancer.JAAD case reports · 2020Article
- Comprehensive Analysis of Differentially Expressed circRNAs Reveals a Colorectal Cancer-Related ceRNA Network.Computational and mathematical methods in medicine · 2020Article
- Acetylator Genotype-Dependent Dyslipidemia in Rats Congenic forToxicology reports · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTriple negative breast cancer (TNBC) account for about 20% of breast carcinomas and the American society of clinical oncology guidelines does not specify approaches for TNBC patients since lack of specific driver molecules and targeted drugs.
methodsWe filtered out the aberrantly expressed mRNAs on the basis of RNA-seq data deposited in the Gene Expression Omnibus database, and verified and deeply analyzed screened differentially expressed genes (DEGs) using a combined bioinformatics approach.
resultsOf 21,755 genes with 472 TNBC cases from 3 independent laboratories, 159 mRNAs were identified as DEGs. To verify our results, we assessed the expression levels of top 8 DEGs in Oncomine database. The hierarchical clustering analysis, functional and pathway enrichment analysis were carried out for all DEGs. The results reveal that N-acetyltransferase 1 (
conclusionsFrom all above results, we speculate that
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