TMOD-10. MOLECULAR CHARACTERIZATION OF A NOVEL HUMAN CLIVAL CHORDOMA XENOGRAFT MODEL DEMONSTRATES INHERENT TUMOR GENOMIC INSTABILITY
Bibliographic record
Abstract
Patient-derived xenografts (PDXs) retain the genotype of the parental tumors more readily than tumor cells maintained in culture. In order to study the genetics of clival chordoma in the absence of prior radiation we sought to establish a PDX following the primary resection of a clival chordoma. Epicranial grafting of a primary clival chordoma was performed in NOD/SCID mice. Tumors have been passaged serially in mice for 7 generations. Physaliferous cell architecture was demonstrated in the regenerated tumors, which stained positive for Brachyury, Cytokeratin, and S100. The tumors demonstrated bone invasion. Single-nucleotide polymorphism analysis of the tumor xenograft was compared to the parental tumor. We identified homozygous amplification of the T-gene (brachury) and heterozygous loss of CDKN2A. We also identified heterozygous loss of the tumor suppressor FHIT gene, although protein expression was preserved. Accumulation of copy number losses and gains over three generations showed for the first time that there is inherent genomic instability in chordoma. In conclusion, this PDX reproduces the phenotype of clival chordoma. This study is the first to show chromosomal genomic instability in a chordoma that is serially propagated through multiple generations. The genomic instability observed in chordoma may serve as the biological basis for resistance to chemotherapy as is observed for other forms of cancer.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".