Fibroblast Growth Factor Receptors as Molecular Targets in Thyroid Carcinoma
Why this work is in the frame
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Bibliographic record
Abstract
Several molecular abnormalities of potential therapeutic target value have been described in thyroid neoplastic transition. We report the expression of the fibroblast growth factor receptor family (FGFR-1-4) in normal thyroid tissues, human thyroid cancers of various types and behaviors, and cell lines representative of the spectrum of differentiation of tumors derived from follicular epithelial cells. FGFR-2 was the only receptor consistently detected in normal human thyroid tissue, and its expression diminished in all thyroid cancers and carcinoma cell lines, suggesting that it may have a protective role. FGFR-1 and FGFR-3 were expressed in most well-differentiated tumor types. FGFR-4, however, was expressed predominantly in aggressive tumor types and the most rapidly proliferative cell lines, indicating that it may promote the progression of these tumors. To specifically determine the function of FGFR-4 in thyroid carcinoma, gain- or loss-of-function studies were performed in cell lines representative of the spectrum of thyroid cancer behavior. Introduction of FGFR-4 resulted in enhanced cell proliferation, an effect that was more pronounced in cell lines derived from aggressive tumors than in those derived from more indolent neoplasms. Moreover, transduction of a dominant-negative FGFR attenuated cell proliferation in the aggressive poorly differentiated cell lines with no appreciable effect in well-differentiated cells. Pharmacologic FGFR-4 tyrosine kinase inhibition resulted in significant proliferation arrest in an aggressive cell line endogenously expressing the receptor. Furthermore, systemic administration of the FGFR tyrosine kinase inhibitor PD173074 resulted in significant inhibition of follicular thyroid carcinoma-derived cell growth in xenografted severe combined immunodeficient mice. These data indicate a role for FGFR-4 in human thyroid cancer cell progression and provide a rationale for FGFR manipulation as a potentially novel therapeutic approach.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it