Identifying the functional relevance of CD271 and CD133 in medulloblastoma tumor formation
Bibliographic record
Abstract
Medulloblastoma (MB) is the most common primary malignant pediatric brain tumor. The relationship between stem cell function and invasiveness has not been investigated in MB. We have dissected MB heterogeneity and compared the capacity for self-renewal and invasion. Our laboratory has identified a combination of 3 cell surface markers that can be used to select for cells with a high self renewal capacity or high invasive capacity. CD271 and CD24 cell surface markers were shown to select for cells that exhibited higher self-renewal capacity whereas CD133 selected for higher invasive capacity. The next step was to confirm these findings in vivo. A mouse model was developed and optimized in the laboratory using NOD SCID mice. Initial data has shown mice injected with higher unsorted cell numbers develop tumor symptoms earlier than mice injected with less cells. Additionally, CD271+/133- cells appear to develop tumors at a faster rate than CD271-/CD133- cells.
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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) | 0.002 | 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".