Abi1 loss drives prostate tumorigenesis through activation of EMT and noncanonical WNT signaling.
Bibliographic record
Abstract
280 Background: Prostate cancer is characterized by heterogeneity of mechanisms which are poorly understood but pointing to epithelial plasticity as the key mechanism in progression to metastatic disease. ABI1, a member of WAVE complex and actin cytoskeleton regulator and adaptor protein, is proposed to act as tumor suppressor in prostate cancer, but the mechanism of tumor progression due to Abi1 loss is not clear. Methods: To address Abi1’s role in prostate cancer we used CRISPR-based gene editing and retroviral expression to manipulate Abi1 levels in prostate cancer cell lines. Levels of Abi1 expression in prostate organoid tumor cell lines were evaluated by Western blotting and/or RNA sequencing. Association of Abi1 loss with tumor grade was evaluated by immunohistochemistry. Results: Abi1 expression is downregulated in tumor organoid cell lines from metastatic bone and lymph node biopsies. Moreover, low Abi1 expression is associated with high-grade prostate tumors (GG3 or higher, p < 0.001). Disruption of Abi1 gene in a benign prostate epithelial cell line RWPE-1 resulted in a gain of invasive phenotype, which is characterized by loss of cell-cell adhesion markers and increased migratory ability of RWPE-1 Abi1 KO spheroids. Through RNA sequencing and protein expression analysis we discovered that Abi1 loss leads to activation of non-canonical WNT signaling and EMT pathways, which are rescued by re-expression of Abi1. Furthermore, increase in STAT3 phosphorylation upon Abi1 inactivation and evidence for high affinity interaction of FYN-SH2 domain with Abi1 pY421 support the model that Abi1 acts as a gatekeeper of the non-canonical WNT-EMT pathway activation downstream from FZD2 receptor. The gene expression profile of Abi1-EMT-WNT pathway overlaps with the reported gene signature of high-risk prostate tumors. Conclusions: Abi1 contributes to prostate cancer progression and epithelial plasticity through regulation of EMT-WNT pathways. Understanding of Abi1’s role may provide more mechanistic understanding of prostate cancer tumor progression.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".