Identification and Roles of miR-29b-1-3p and miR29a-3p-Regulated and Non-Regulated lncRNAs in Endocrine-Sensitive and Resistant Breast Cancer Cells.
Penn MuluhngwiCarolyn M KlingePublished in: Cancers (2021)
Despite improvements in the treatment of endocrine-resistant metastatic disease using combination therapies in patients with estrogen receptor α (ERα) primary tumors, the mechanisms underlying endocrine resistance remain to be elucidated. Non-coding RNAs (ncRNAs), including microRNAs (miRNA) and long non-coding RNAs (lncRNA), are targets and regulators of cell signaling pathways and their exosomal transport may contribute to metastasis. Previous studies have shown that a low expression of miR-29a-3p and miR-29b-3p is associated with lower overall breast cancer survival before 150 mos. Transient, modest overexpression of miR-29b1-3p or miR-29a-3p inhibited MCF-7 tamoxifen-sensitive and LCC9 tamoxifen-resistant cell proliferation. Here, we identify miR-29b-1/a-regulated and non-regulated differentially expressed lncRNAs in MCF-7 and LCC9 cells using next-generation RNA seq. More lncRNAs were miR-29b-1/a-regulated in LCC9 cells than in MCF-7 cells, including DANCR, GAS5, DSCAM-AS1, SNHG5, and CRND. We examined the roles of miR-29-regulated and differentially expressed lncRNAs in endocrine-resistant breast cancer, including putative and proven targets and expression patterns in survival analysis using the KM Plotter and TCGA databases. This study provides new insights into lncRNAs in endocrine-resistant breast cancer.
Keyphrases
- combination therapy
- breast cancer cells
- estrogen receptor
- long non coding rna
- induced apoptosis
- transcription factor
- poor prognosis
- cell proliferation
- rna seq
- cell cycle arrest
- single cell
- signaling pathway
- squamous cell carcinoma
- network analysis
- genome wide identification
- small cell lung cancer
- pi k akt
- endoplasmic reticulum stress
- binding protein
- artificial intelligence
- room temperature
- long noncoding rna
- oxidative stress
- cell death
- machine learning
- young adults
- epithelial mesenchymal transition
- deep learning
- cell therapy
- cerebral ischemia
- childhood cancer
- ionic liquid