Abstract 6996: A role for the cell adhesion molecule NCAM1 in regulating activity of the receptor tyrosine kinase RET in cancer
Bibliographic record
Abstract
Abstract RET (REarranged during Transfection) is a receptor tyrosine kinase with essential roles in early development; however, genetic alterations lead to aberrant RET activity that contributes to oncogenic processes in several cancers. While some of the mechanisms by which RET mediates these processes are known, the network of proteins facilitating its activity remains largely undiscovered. To address this, we performed a genome-wide synthetic dosage lethal screen which identified NCAM1 (Neural Cell Adhesion Molecule 1) as one potential candidate modulating RET activity. Using an NCAM1 knockdown (KD) in SH-SY5Y neuroblastoma cells, we show that loss of NCAM1 reduces total protein levels of RET with no effect on RET transcription. Despite reduced abundance of RET, we show that the mature form of RET has a prolonged half-life in the absence of NCAM1. Assessing the functional outcomes of reduced RET protein levels, we observe reduced activation of RET by its extracellular ligand GDNF (Glial cell line-derived neurotrophic factor) and a subsequent reduction in activation of proliferative signaling pathways downstream of RET. As a result, RET-mediated proliferation is diminished in the absence of NCAM1, with reduced viability of NCAM1 KD SH-SY5Y observed in response to GDNF. Together, our data suggest that the synthetic lethal relationship between RET and NCAM1 may arise from a role for NCAM1 in regulating total RET protein available for activation, thereby reducing RET-mediated cell viability and proliferation. Our work has uncovered a role for NCAM1 in modulating RET activity in cancer and validates the use of our synthetic dosage lethal approach in uncovering proteins facilitating oncogenic RET activity. Citation Format: Montdher H. Hussain, Brandy D. Hyndman, Frederick S. Vizeacoumar, Mathieu J. Crupi, Franco J. Vizeacoumar, Lois M. Mulligan. A role for the cell adhesion molecule NCAM1 in regulating activity of the receptor tyrosine kinase RET in cancer [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 6996.
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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 | 0.000 |
| 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".