Abstract P2-04-05: Loss of Ste20-like kinase induces a basal/stem-like phenotype in HER2-positive breast cancers
Bibliographic record
Abstract
Abstract Over the past two decades, the mammalian Ste20-like kinase (SLK) has been characterized for its role in regulating cellular migration, proliferation and apoptosis in fibroblasts and myoblasts. In mammary epithelial cells, SLK has been shown to be required for efficient epithelial-to-mesenchymal transition and to be activated downstream of the HER2/Neu-oncogene to control chemotactic cellular migration. Here, we assessed the role of SLK in HER2/Neu-induced mammary tumorigenesis in vivo. As SLK is activated downstream of HER2/Neu, we hypothesized that the loss of SLK would significantly delay tumor progression in a mouse model of HER2-positive breast cancer. As we have shown that global attenuation of SLK kinase activity results in embryonic lethality, a conditional SLK knockout mouse model was generated. To study the role of SLK in HER2-positive breast cancer, we crossed these conditional SLK knockout mice with mice expressing HER2/Neu linked to Cre recombinase in the mammary luminal epithelium. Unexpectedly, we have demonstrated that conditional deletion of SLK significantly accelerates Neu-induced mammary tumor onset and decreases overall survival. SLK deletion results in the induction of Sox10 which drives mammary stem/progenitor activity and cooperates with HER2/Neu to drive tumor growth. Using the Cancer Genome Atlas, we have supported previous findings and validated Sox10 as a potential biomarker of the Triple-negative Breast Cancer subtype. Furthermore, we have uncovered that SLK deletion results in enhanced activation of AKT. We provide evidence that Sox10 induction requires signaling through a novel AKT/Sox9-dependent pathway following SLK deletion. Taken together, our data suggests that SLK may be required to maintain cells in a fully differentiated state and that loss of SLK in HER2/Neu-induced breast cancer drives a more basal/stem-like phenotype through the induction of Sox10. Citation Format: Khalid N Al-Zahrani, John Abou-Hamad, Ben Pryce, David P Cook, Johnathan Hodgins, Cedrik Labreche, Pascale Robineau-Charette, Christiano de Souza, John Bell, Rebecca Auer, Michele Ardolino, Barbara Vanderhyden, Daniel Schramek, Luc Sabourin. Loss of Ste20-like kinase induces a basal/stem-like phenotype in HER2-positive breast cancers [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-04-05.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".