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Published on: October 27, 2020
ATM suppresses SATB1-induced malignant progression in breast epithelial cells
Ellen Ordinario1, Hye-Jung Han, Saori Furuta
1Life Sciences Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, California, USA.
Abstract:
SATB1 drives metastasis when expressed in breast tumor cells by radically reprogramming gene expression. Here, we show that SATB1 also has an oncogenic activity to transform certain non-malignant breast epithelial cell lines. We studied the non-malignant MCF10A cell line, which is used widely in the literature. We obtained aliquots from two different sources (here we refer to them as MCF10A-1 and MCF10A-2), but found them to be surprisingly dissimilar in their responses to oncogenic activity of SATB1. Ectopic expression of SATB1 in MCF10A-1 induced tumor-like morphology in three-dimensional cultures, led to tumor formation in immunocompromised mice, and when injected into tail veins, led to lung metastasis. The number of metastases correlated positively with the level of SATB1 expression. In contrast, SATB1 expression in MCF10A-2 did not lead to any of these outcomes. Yet DNA copy-number analysis revealed that MCF10A-1 is indistinguishable genetically from MCF10A-2. However, gene expression profiling analysis revealed that these cell lines have significantly divergent signatures for the expression of genes involved in oncogenesis, including cell cycle regulation and signal transduction. Above all, the early DNA damage-response kinase, ATM, was greatly reduced in MCF10A-1 cells compared to MCF10A-2 cells. We found the reason for reduction to be phenotypic drift due to long-term cultivation of MCF10A. ATM knockdown in MCF10A-2 and two other non-malignant breast epithelial cell lines, 184A1 and 184B4, enabled SATB1 to induce malignant phenotypes similar to that observed for MCF10A-1. These data indicate a novel role for ATM as a suppressor of SATB1-induced malignancy in breast epithelial cells, but also raise a cautionary note that phenotypic drift could lead to dramatically different functional outcomes.
Insights
SATB1 transforms non-malignant breast cells into malignant ones, but this effect depends on ATM levels. Reduced ATM kinase activity in breast epithelial cells allows SATB1 to promote tumor formation and metastasis.
Area of Science:
- Oncology
- Cell Biology
- Genetics
Background:
- SATB1 is known to drive metastasis in breast tumors by altering gene expression.
- Non-malignant breast epithelial cell lines are crucial models for studying early oncogenesis.
- Variability in cell line behavior can complicate research findings.
Purpose of the Study:
- To investigate the oncogenic potential of SATB1 in non-malignant breast epithelial cells.
- To understand the differential response of MCF10A cell line variants to SATB1 expression.
- To identify factors influencing SATB1-mediated malignant transformation.
Main Methods:
- Ectopic expression of SATB1 in MCF10A cell line variants.
- Three-dimensional culture and xenograft mouse models for tumor formation and metastasis assessment.
- DNA copy-number analysis and gene expression profiling.
- ATM knockdown in various non-malignant breast epithelial cell lines.
Main Results:
- SATB1 induced tumor-like morphology, tumor formation, and lung metastasis in MCF10A-1 cells, but not in MCF10A-2 cells.
- Genetic analysis showed no difference between MCF10A-1 and MCF10A-2, but gene expression profiles diverged significantly.
- MCF10A-1 cells exhibited significantly reduced ATM (Ataxia-Telangiectasia Mutated) kinase expression compared to MCF10A-2 cells.
- ATM knockdown in MCF10A-2 and other cell lines (184A1, 184B4) enabled SATB1 to induce malignant phenotypes.
Conclusions:
- ATM acts as a suppressor of SATB1-induced malignancy in breast epithelial cells.
- Phenotypic drift in cell lines, specifically reduced ATM expression due to long-term cultivation, can lead to altered functional outcomes.
- This highlights a novel role for ATM in regulating SATB1's oncogenic activity and cautions against potential variability in cell line models.
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