Abstract LB-77: The Met receptor tyrosine kinase drives signaling through EGFR and ErbB3 in Met-amplified non-small-cell lung cancer
Bibliographic record
Abstract
Abstract Receptor tyrosine kinases are canonically activated by dimerization induced by the binding of a cognate ligand. This leads to autophosphorylation of the receptor molecules by their intrinsic kinase domains and the recruitment of intracellular protein complexes to initiate signaling. In many human cancers, receptor tyrosine kinases are aberrantly activated to promote proliferative signaling, thus driving tumor growth. The MET proto-oncogene is amplified in approximately 5% of non-small-cell lung cancers (NSCLC), a disease in which aberrant signaling through the epidermal growth factor receptor (EGFR) or the anaplastic lymphoma kinase is known to be oncogenic. The Met receptor tyrosine kinase is overexpressed and constitutively active in cell lines derived from MET-amplified tumors, and Met activity is required for proliferation. Furthermore, Met activity is sufficient to promote the phosphorylation of EGFR and its homologs ErbB2 and ErbB3 in the presence of inhibitors targeting EGFR, ErbB2, and Src family kinases. We show that Met utilizes the EGFR, ErbB2 and ErbB3 proteins as scaffolds to broaden downstream oncogenic signaling and promote cancer cell proliferation. The contribution of EGFR and its homologs to Met signaling in NSCLC will be presented with a focus on ErbB family kinases required for proliferation in MET-amplified NSCLC. Understanding the mechanisms by which Met drives proliferative signaling in NSCLC will become crucial as Met-targeted therapies become available in the clinic. Citation Format: Yaakov E. Stern, Andrea Z. Lai, Morag Park. The Met receptor tyrosine kinase drives signaling through EGFR and ErbB3 in Met-amplified non-small-cell lung cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-77. doi:10.1158/1538-7445.AM2014-LB-77
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.004 | 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".