Drivers and implications of lineage-specific cancer-related mutations in human pluripotent and adult stem cells
Bibliographic record
Abstract
Human pluripotent stem cells (PSCs) are known to harbor mutations in tumor-associated genes, and here we aim to examine the status of adult stem cells (ASCs). We thus identify cancer-related mutations in 18% of about 600 mesenchymal stem cell samples, and in 41% of about 200 neural stem cell (NSC) samples. We show a lineage-specific profile of cancer-related genes, demonstrating that TP53 is a central mutated gene in human PSCs but not in mesenchymal or NSCs. We suggest that the lineage-specificity of tumor-associated genes correlates with their expression levels and with tumor-specific mutations in patients. We also show the consequences of mutations in oncogenes and tumor suppressor genes on the transcriptome of each specific stem cell lineage. We therefore propose a categorization of these mutated samples for further appreciation of their severity and emphasize the importance of genetic screening in pluripotent and ASC lines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".