Abstract LB246: E-cadherin loss drives Id2-dependent dampening of cell cycle progression and predicts increased susceptibility to CDK4/6 inhibition in lobular breast cancer
Bibliographic record
Abstract
Abstract Invasive lobular breast carcinoma (ILC) is a low grade and mostly chemo-refractory luminal-type breast cancer that has been linked to sustained proliferative quiescence and long-term latency relapses (15-20 years). Loss of E-cadherin causes metastatic lobular breast cancer, partly through acquisition of anchorage independence. It is however still unknown how ILC cells control the balance between proliferative indolence and cell cycle re-entry at the metastatic site. We show here that E-cadherin loss leads to upregulation of Id2 through p120-catenin/Kaiso-dependent transcriptional derepression. Anchorage independent conditions further exacerbate p120-driven Id2 expression, leading to a sustained G0/G1 cell cycle arrest through binding of cytosolic Id2 to hypo-phosphorylated Rb. Intriguingly, we find that E-cadherin inactivation causes increased sensitivity to CDK4/6 inhibition in mouse and human breast cancer cell lines and primary tumor organoids. Finally, we find that Id2 expression is elevated in human ILC when compared to ductal breast cancers. Based on these data, we propose that combined E-cadherin loss and cytosolic Id2 expression can be used for the differential diagnosis of ILC and represent a candidate predictive biomarker pair for cell cycle targeting drug efficacy. Citation Format: Max Antonius Klaus Rätze, Thijs Koorman, Thijmen Sijnesael, Blessing Bassey-Archibong, Robert van de Ven, Lotte Enserink, Daan Visser, Sridevi Jaksani, Elvira Bakker, François Richard, Andrew Tutt, Rebecca Steele, Stephen Pettitt, Christopher J. Lord, Amanda Fitzpatrick, Clare Isacke, Paul J. van Diest, Christine Desmedt, Juliet M. Daniel, Patrick W.B. Derksen. E-cadherin loss drives Id2-dependent dampening of cell cycle progression and predicts increased susceptibility to CDK4/6 inhibition in lobular breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB246.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".