Abstract 1675: Investigating the role of SRC-family kinases in MPNST tumorigenesis
Bibliographic record
Abstract
Abstract Purpose: Malignant peripheral nerve sheath tumor (MPNST), an aggressive soft-tissue sarcoma, is the leading cause of mortality in patients with neurofibromatosis type 1. Over the past two decades, significant advancement has been made in understanding the pathogenesis of MPNST. Still, this progress has not improved overall survival of patients. Therefore, ongoing efforts to identify alterations contributing to the transformation, progression, and metastasis of MPNST are essential for pinpointing targetable oncogenic signaling pathways for this cancer. Previous studies have revealed an increase in YAP/TAZ activity through both LATS1/2-dependent and LATS1/2-independent mechanisms, suggesting that YAP/TAZ hyperactivity may act as a convergence point for MPNST pathogenesis. YES and SRC, two members of the SRC-family kinases (SFKs), were shown to phosphorylate LATS1/2 and YAP/TAZ, and stimulate the transcriptional activity of YAP/TAZ by promoting their nuclear accumulation in hepatocellular carcinoma and colorectal cancer cells. Thus, we have investigated whether YES and SRC are involved in the pathogenesis of MPNSTs. Experimental Design: To assess whether the SFK-YAP/TAZ signaling axis is implicated in the development of MPNST, we have used genetic and pharmacological approaches to investigate the roles of YES and SRC in the proliferation of a subset of human MPNST cell lines, and in the growth of xenografted MPNST tumors in ectopic and orthotopic mouse models. We also performed a phosphoproteome and a transcriptome analysis of YES and SRC-depleted MPNST cells to assess their oncogenic signaling network. Lastly, we evaluated the clinical significance of phospho-SFK and YAP in human MPNST TMAs. Results: Our findings reveal that YES and SRC activity play an essential and redundant role in sustaining the proliferation of human MPNST cell lines. Further, the simultaneous depletion of both kinases impedes tumor growth in xenograft MPNST mouse models. Transcriptomic analyses identified YAP and TAZ as potential effectors of SFKs, as well as other family of transcription factors. Finally, TMA data suggested a correlation between the expressions of YAP, YAP/TAZ, and phospho-SFK and the progression of MPNST. Citation Format: Elamine Zereg, Laure Voisin, Karl Grenier, Mathieu Courcelles, Sungmi Jung, Pierre Thibault, Sylvain Meloche. Investigating the role of SRC-family kinases in MPNST tumorigenesis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1675.
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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".