SynthesisPloS one2015
A ranking-based meta-analysis reveals let-7 family as a meta-signature for grade classification in breast cancer.
Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Meta-analysis of the differentially expressed microRNA profiles in nasopharyngeal carcinoma.Oncotarget · 2016Pooled it
- Integrative meta-analysis identifies microRNA-regulated networks in infantile hemangioma.BMC medical genetics · 2016Pooled it
- Meta-Analysis of Tumor Stem-Like Breast Cancer Cells Using Gene Set and Network Analysis.PloS one · 2016Pooled it
- Overexpression of β-Arrestins inhibits proliferation and motility in triple negative breast cancer cells.Scientific reports · 2021Article
- Regulation of breast cancer metastasis signaling by miRNAs.Cancer metastasis reviews · 2020Review
- Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration.Breast cancer research : BCR · 2020Article
- A genetic variant rs13293512 in the promoter of let-7 is associated with an increased risk of breast cancer in Chinese women.Bioscience reports · 2019Article
- Infantile hemangioma: factors causing recurrence after propranolol treatment.Pediatric research · 2018Article
- Article
- MicroRNA-142-3p and let-7g Negatively Regulates Augmented IL-6 Production in Neonatal Polymorphonuclear Leukocytes.International journal of biological sciences · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is one of the most important causes of cancer-related deaths worldwide in women. In addition to gene expression studies, the progressing work in the miRNA area including miRNA microarray studies, brings new aspects to the research on the cancer development and progression. Microarray technology has been widely used to find new biomarkers in research and many transcriptomic microarray studies are available in public databases. In this study, the breast cancer miRNA and mRNA microarray studies were collected according to the availability of their data and clinical information, and combined by a newly developed ranking-based meta-analysis approach to find out candidate miRNA biomarkers (meta-miRNAs) that classify breast cancers according to their grades and explain the relation between miRNAs and mRNAs. This approach provided meta-miRNAs specific to breast cancer grades, pointing out let-7 family members as grade classifiers. The qRT-PCR studies performed with independent breast tumors confirmed the potential biomarker role of let-7 family members (meta-miRNAs). The concordance between the meta-mRNAs and miRNA target genes specific to tumor grade (common genes) supported the idea of mRNAs as miRNA targets. The pathway analysis results showed that most of the let-7 family miRNA targets, and also common genes, were significantly taking part in cancer-related pathways. The qRT-PCR studies, together with bioinformatic analyses, confirmed the results of meta-analysis approach, which is dynamic and allows combining datasets from different platforms.
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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.