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Long non-coding RNAs differential expression in breast cancer subtypes: What do we know?
Mathias, Carolina; Zambalde, Erika P; Rask, Philip; Gradia, Daniela F; de Oliveira, Jaqueline C.
Affiliation
  • Mathias C; Department of Genetics, Federal University of Parana, Curitiba, Brazil.
  • Zambalde EP; Department of Genetics, Federal University of Parana, Curitiba, Brazil.
  • Rask P; Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Gradia DF; Department of Genetics, Federal University of Parana, Curitiba, Brazil.
  • de Oliveira JC; Department of Genetics, Federal University of Parana, Curitiba, Brazil.
Clin Genet ; 95(5): 558-568, 2019 05.
Article in En | MEDLINE | ID: mdl-30614523
ABSTRACT
Breast Cancer (BC) is the most commonly diagnosed cancer and is the leading cause of cancer deaths in women. BC is a heterogeneous disease with different clinical and genetic features. According to immunohistochemical markers, BC is subdivided into four main subtypes luminal A, luminal B, ERBB2 positive and triple negative. Long non-coding RNAs (lncRNAs) are transcripts with more than 200 nucleotides and deregulated lncRNAs are associated with human diseases, including BC. In order to improve BC molecular classification, non-coding RNAs (ncRNAs), including lncRNAs, have been used. In this review, we focus on lncRNAs with differential expression in BC subtypes and how these RNAs may act to contribute to BC heterogeneity. We also emphasize the potential of these lncRNAs as biomarkers.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Gene Expression Regulation, Neoplastic / Gene Expression Profiling / RNA, Long Noncoding Limits: Female / Humans Language: En Journal: Clin Genet Year: 2019 Document type: Article Affiliation country: Brasil

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Gene Expression Regulation, Neoplastic / Gene Expression Profiling / RNA, Long Noncoding Limits: Female / Humans Language: En Journal: Clin Genet Year: 2019 Document type: Article Affiliation country: Brasil