Characterization of a Pineal Region Malignant Rhabdoid Tumor
Bibliographic record
Abstract
The malignant rhabdoid tumor (MRT) of the central nervous system is a highly aggressive neoplasm of early infancy which is characterized by brain invasion and widespread dissemination along cerebrospinal fluid pathways. As the process of tumor invasion is mediated in part by the elaboration of proteases and protease inhibitors by tumor cells, we sought to determine the expression of the type-IV collagenases and their inhibitors (tissue inhibitors of metalloproteases, TIMPs) in an MRT from the pineal region of a 9-month-old male. In addition, as only a few reports exist concerning the cytogenetic abnormalities in MRTs, the cytogenetic features of this MRT were examined. When placed into tissue culture, the MRT grew vigorously in early passages. The cytogenetic analysis of the cells in passage one revealed a near diploid karyotype with some metaphases demonstrating monosomy 22. Northern analysis of type-IV collagenase transcripts revealed that the MRT expressed the highest levels of the 72- and 92-kD type-IV collagenase transcripts of any pediatric brain tumor examined. However, the MRT did not express any significant amounts of the TIMP-1 or TIMP-2 transcripts. By in situ hybridization analysis, the MRT demonstrated marked intratumoral expression of the type-IV collagenase but not TIMP transcripts. The results from this study suggest that this particular MRT may be a highly invasive brain tumor, at least in part on the basis of overexpression of the type-IV collagenases relative to the TIMPs.
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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 | 0.001 | 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".