Lysosomal Acid Hydrolases of the Cathepsin Family Are Novel Targets of INSL3 in Human Thyroid Carcinoma Cells
Bibliographic record
Abstract
Insulin-like peptide 3 (INSL3) is present in hyperactive and neoplastic thyrocytes, but the functional role of this relaxin-like peptide hormone during carcinogenesis in the thyroid gland is currently unknown. We generated new cell models of stable transfectants of the human follicular thyroid carcinoma cell line FTC-133 expressing and secreting bioactive human INSL3. These transfectants displayed higher intracellular ATP levels, but INSL3 failed to act as a promoter of growth. The acquisition of an invasive tumor cell phenotype with local tissue invasion represents the beginning of a number of events leading to metastasis, the major cause of fatal outcome in cancer patients. Here we demonstrate a function of INSL3 in elastin degradation, which is considered an early step during basal membrane penetration and tissue invasion by tumor cells. INSL3 markedly increased the production of the lysosomal enzymes cathepsin-L and cathepsin-D. Enhanced secretion of the elastinolytic cathepsin-L was associated with increased elastinolytic activity of FTC-133-INSL3 transfectants. Thus, we provide the first evidence that the INSL3 peptide can promote early tumor cell invasiveness in human thyroid carcinoma cells by enhancing their metabolic activity and elastin-degrading potential.
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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) | 0.001 | 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".