Two Opposing Effects (Yin and Yang) Determine Cancer Progression
Bibliographic record
Abstract
In this review, we introduce a new vision of cancer describing opposing effects that control progression. Cancer is a paradigm of opposing of "Yin" and "Yang," with Yin being the effect to promote cancer and Yang that to maintain the normal state. This Yin Yang hypothesis has been used to select Yin and Yang genes to develop multigene signatures for determining prognosis in lung and breast cancer. Most of the Yin genes are involved in cell survival, growth, and proliferation, whereas most Yang genes are involved in cell apoptosis. Furthermore, Yin and Yang pathways have been identified in breast cancer and compounds that can inhibit the Yin pathways or activate the Yang pathways have been examined, suggesting a new promising targeting therapy for cancer. We are building a Yin Yang model to represent the dynamic change of Yin and Yang genes and pathways.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 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".