Quantitative Expression of


Journal

Genetics research
ISSN: 1469-5073
Titre abrégé: Genet Res (Camb)
Pays: England
ID NLM: 101550220

Informations de publication

Date de publication:
2022
Historique:
received: 18 05 2022
revised: 15 07 2022
accepted: 05 08 2022
entrez: 26 9 2022
pubmed: 27 9 2022
medline: 28 9 2022
Statut: epublish

Résumé

Breast cancer (BC) is one of the leading cancers in the world, which has become an increasing serious problem. In this context, reports demonstrate that some long noncoding RNAs (lncRNAs) play significant regulatory roles in breast tumorigenesis and BC progression via various pathways and act as endogenous RNAs. Finding their dysregulation in cancer and evaluating their interaction with other molecules, such as short noncoding RNAs "microRNA (miRNAs)" as well as various genes, are the most important parts in cancer diagnostics. In this study, after performing GSEA and microarray analysis on the GSE71053 dataset, a new ceRNA network of CCDC18-AS1, LINC01343, hsa-miR4462, and

Identifiants

pubmed: 36160032
doi: 10.1155/2022/6787791
pmc: PMC9484965
doi:

Substances chimiques

Biomarkers 0
Biomarkers, Tumor 0
MicroRNAs 0
RNA, Long Noncoding 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6787791

Informations de copyright

Copyright © 2022 Mehrnoush Rishehri et al.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest.

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Auteurs

Mehrnoush Rishehri (M)

Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran.

Tahereh Etemadi (T)

Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran.

Leila Pisheh (L)

Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran.
Department of Medical and Pharmaceutical Science, University of Genova, Genova, Italy.

Ghazaleh Koufigar (G)

Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran.

Mansoureh Azadeh (M)

Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran.
Department of Biology, Rasht Branch, Islamic Azad University, Rasht, Iran.

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Classifications MeSH