Single-Cell Analysis Reveals a Preexisting Drug-Resistant Subpopulation in the Luminal Breast Cancer Subtype.
Marta Prieto-VilaWataru UsubaRyou-U TakahashiIwao ShimomuraHideo SasakiTakahiro OchiyaYusuke YamamotoPublished in: Cancer research (2019)
Drug resistance is a major obstacle in the treatment of breast cancer. Surviving cells lead to tumor recurrence and metastasis, which remains the main cause of cancer-related mortality. Breast cancer is also highly heterogeneous, which hinders the identification of individual cells with the capacity to survive anticancer treatment. To address this, we performed extensive single-cell gene-expression profiling of the luminal-type breast cancer cell line MCF7 and its derivatives, including docetaxel-resistant cells. Upregulation of epithelial-to-mesenchymal transition and stemness-related genes and downregulation of cell-cycle-related genes, which were mainly regulated by LEF1, were observed in the drug-resistant cells. Interestingly, a small number of cells in the parental population exhibited a gene-expression profile similar to that of the drug-resistant cells, indicating that the untreated parental cells already contained a rare subpopulation of stem-like cells with an inherent predisposition toward docetaxel resistance. Our data suggest that during chemotherapy, this population may be positively selected, leading to treatment failure. SIGNIFICANCE: This study highlights the role of breast cancer intratumor heterogeneity in drug resistance at a single-cell level.
Keyphrases
- drug resistant
- induced apoptosis
- single cell
- cell cycle arrest
- multidrug resistant
- cell cycle
- cell proliferation
- signaling pathway
- endoplasmic reticulum stress
- oxidative stress
- stem cells
- rna seq
- gene expression
- high throughput
- genome wide
- machine learning
- radiation therapy
- pseudomonas aeruginosa
- big data
- risk factors
- squamous cell carcinoma
- artificial intelligence
- long non coding rna
- rectal cancer
- deep learning