Tissue-specific resistance to cancer development in the rat: phenotypes of tumor-modifier genes
Bibliographic record
Abstract
Resistance to carcinogenesis in the rat is both strain- and tissue-specific. The phenotypic characteristics of resistance in the mammary gland, liver and peripheral nervous system (PNS) are strikingly similar. In all three tissues, initiation is intact with subsequent formation of preneoplastic cells and lesions. In the mammary gland and PNS, activation of the Ha-ras and neu proto-oncogenes, respectively, takes place. A number of different modifier genes are involved in resistance, many of which appear to be tissue-specific in their action with no overlap between strains. A single resistance phenotype, however, involving the formation, growth and subsequent loss of preneoplastic lesions is common to all three tissues of resistant strains. In the PNS, there is evidence that preneoplastic cells are eliminated by apoptosis or immunosurveillance. In the mammary gland and liver, the immune system is not involved in the loss of preneoplastic lesions and there are no clear differences between susceptible and resistant strains in the kinetics of proliferation and apoptosis of preneoplastic cells. The evidence to date favors a mechanism in which preneoplastic cells from these tissues undergo a process of remodeling/redifferentiation to yield cells with a normal phenotype. Identification of human homologues of rodent tumor-modifier genes will result in a better understanding of cancer development and potentially provide new strategies for prevention and therapy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".