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Long Non-Coding RNAs as Potential Diagnostic and Prognostic Biomarkers in Breast Cancer: Progress and Prospects.
Lu, Cuicui; Wei, Duncan; Zhang, Yahui; Wang, Peng; Zhang, Wen.
Affiliation
  • Lu C; Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Wei D; Department of Pharmacy, The First Affiliated Hospital of Medical College of Shantou University, Shantou, China.
  • Zhang Y; Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Wang P; Department of Pharmacy, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
  • Zhang W; Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Front Oncol ; 11: 710538, 2021.
Article in En | MEDLINE | ID: mdl-34527584
ABSTRACT
Breast cancer is the most common malignancy among women worldwide, excluding non-melanoma skin cancer. It is now well understood that breast cancer is a heterogeneous entity that exhibits distinctive histological and biological features, treatment responses and prognostic patterns. Therefore, the identification of novel ideal diagnostic and prognostic biomarkers is of utmost importance. Long non-coding RNAs (lncRNAs) are commonly defined as transcripts longer than 200 nucleotides that lack coding potential. Extensive research has shown that lncRNAs are involved in multiple human cancers, including breast cancer. LncRNAs with dysregulated expression can act as oncogenes or tumor-suppressor genes to regulate malignant transformation processes, such as proliferation, invasion, migration and drug resistance. Intriguingly, the expression profiles of lncRNAs tend to be highly cell-type-specific, tissue-specific, disease-specific or developmental stage-specific, which makes them suitable biomarkers for breast cancer diagnosis and prognosis.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Front Oncol Year: 2021 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Front Oncol Year: 2021 Document type: Article Affiliation country: China