Bibliographic record
Abstract
Single-cell studies have discovered abundant cancer-associated genetic/phenotypic changes in non-cancerous cells, strikingly contrasting with the infrequency of cancer. Epidemiological data have revealed decades-long plateaus of breast cancer incidence in the contralateral breast and twins/relatives following the first/proband's diagnosis, unlike the well-known continuous increase of population-level incidence with age, the latter ostensibly attributable to the successive accumulation of multiple genetic/epigenetic changes necessary for transformation. Here, we explain these contradicting observations by differentiating cell-level, individual-level, and population-level evidence. First, we show the same decades-long incidence plateau for renal-cell carcinoma in the contralateral kidney following the first diagnosis, expanding the individual-level evidence from breast cancer. We then consider somatic evolution and cell competition in stem-cell compartments and their bounded nature in ageing as a hypothesized mechanism for the abundant cancer-associated cell-level changes and the prolonged constancy of individual-level incidence. Individual-specific propensity with heritable/familial components underlies this process, with which we show congruence between individual-level's constant incidence vs. population-level's increasing incidence. The resulting postulate, an extension of one by Peto and Mack 25 years ago, distinguishes the last multistage "hit" as the critically rate-limiting event in carcinogenesis. Its supporting evidence calls for a reappraisal of the precise nature of multistage carcinogenesis in cancer biology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".