The Signaling Adapters Fibroblast Growth Factor Receptor Substrate 2 and 3 Are Activated by the Thyroid TRK Oncoproteins
Bibliographic record
Abstract
The thyroid TRK oncogenes are generated by chromosomal rearrangements juxtaposing the neurotrophic tyrosine receptor kinase type 1 (NTRK1) tyrosine kinase domain to foreign activating sequences. TRK oncoproteins display a constitutive tyrosine kinase activity resulting in the capability to transform NIH3T3 cells. The TRK oncoproteins' signal transduction has been in part elucidated, and it involves several signal transducers activated by the NGF-stimulated NTRK1 receptor. In this paper, we investigate the role of FRS2 and FRS3, two related adapter proteins activated by fibroblast growth factor and NTRK1 receptors, in the signaling of the thyroid TRK-T1 and TRK-T3 oncogenes. By a combination of in vitro and in vivo assays, we demonstrate that both fibroblast growth factor receptor substrate (FRS)2 and FRS3 are recruited and activated by TRK-T1 and TRK-T3. Interaction studies using different TRK-T3 mutants indicate that FRS3 is recruited by the same tyrosine residue interacting with Shc and FRS2. Expression studies show different expression patterns of the FRS adapters in normal and tumor thyroid samples: FRS3 is expressed in both normal and thyroid tumor samples, whereas FRS2 is not expressed in normal thyroid but is differentially expressed in some tumors. Altogether, our data indicate that the FRS2 and FRS3 adapters may have a role in thyroid carcinogenesis triggered by TRK oncogenes.
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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 | 0.001 |
| 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) | 0.001 | 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 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".