Identifying Mechanisms for Therapeutic Intervention in Chordoma
Bibliographic record
Abstract
In Brief Study Design. A human sacral chordoma cell line, CCL3, was established and in vitro characterization of c-Met oncoprotein in chordoma cells was performed. Objective. Determination of whether c-Met plays an important role in chordoma’s malignancy. Summary of Background Data. Chordomas are malignant life-threatening tumors that arise from the remnants of the notochord. c-Met is an oncoprotein that is expressed by a variety of solid tumors, including chordomas, and HGF is its high affinity ligand. In the present study, we investigated c-Met and HGF expression, localization, and function in human chordoma cells. Methods. SDS-PAGE, Western blotting, immunofluorescence techniques, and cell migration functional assays were used to asses c-Met and HGF expression, localization, and functional activity. Results. Intracellular protein tyrosine phosphorylation was enhanced on HGF binding, and an increase in the amount of 50 kDa α-chain of c-Met was detected in HGF-stimulated cells. Immunostaining of c-Met and HGF revealed membrane/cytoplasmic localization in nonstimulated cells, and perinuclear colocalization in HGF-stimulated cells. Positive chemotactic and migration activity in response to HGF was also demonstrated. Conclusion. Our data supports our hypothesis that the c-Met oncoprotein plays a leading role in the metastatic process in chordomas, and that a c-Met-HGF pair is involved in chordoma malignancy. Taking into consideration the very limited treatment options and an extremely poor prognosis for the chordoma patients, our results are a valuable and promising addition to the current situation in managing chordomas. Chordomas are lethal bone tumors of the spine and skull. Abnormal expression of c-Met is a hallmark of malignancy. We performed characterization of the c-Met receptor and its response to the functional ligand, HGF, in a new sacral chordoma line. We report here that chordoma undergoes significant intracellular changes on c-Met-HGF interaction.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".