The Role of Extracellular Factors in Human Metastatic Chordoma Cell Growth In Vitro
Bibliographic record
Abstract
STUDY DESIGN: Human metastatic chordoma cells were isolated, and initial in vitro characterization was performed. Biochemical and physiologic changes were observed in response to pH, oxygen, and glucose. OBJECTIVE: The extracellular microenvironment directly affects metastatic chordoma cell phenotype in vitro. SUMMARY OF BACKGROUND DATA: Chordomas are primary bone tumors that usually occur in the spine or skull. Chordomas arise from embryonic notochordal remnants along the axial skeleton, most commonly the sacrum, followed by the base of the skull and the mobile spine. Due to a high degree of resistance to radiation and chemotherapy, chordomas eventually cause death by direct growth or by metastasizing to other organs. METHODS: Extracellular pH, oxygen, and glucose levels in the culture medium were controlled, and cell response was assessed using MTT staining, SDS-PAGE, Western blotting, tandem mass spectrometry, TUNEL, immunofluorescence, and flow cytometry. RESULTS: In this study, we present a new chordoma cell line established from metastatic tissue and novel data characterizing some aspects of chordoma cell phenotype in different conditions in vitro. Chordoma biologic markers were expressed in the new cell line. Alkaline pH dramatically increased intracellular protein tyrosine phosphorylation, metabolic activity, and albumin accumulation in the cells, while acidic pH caused apoptosis. CONCLUSION: The level of proliferation, apoptosis, and tyrosine phosphorylation, as well as the overall protein expression profile, strongly depended on extracellular media pH and oxygen/glucose levels. Chordoma's preferred extracellular microenvironment in vitro was rather alkaline, with an optimum at pH 8.5, and apoptotic changes were induced at acidic pH. We found that bovine serum albumin was accumulated by chordoma cells from the incubation media, and this accumulation depended on extracellular pH, with the highest accumulation at alkaline pH.
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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".