Normal Human Cells Acquiring Proliferative Advantage to Hyperplasia-Like Growth-Morphology: Aberrant Progeny Cells Associated With Endopolyploid and Haploid Divisions
Bibliographic record
Abstract
Today, cancer-patients can seek individual genomic tailored therapy, but at escalating costs. However, cancer-incidence reduction would reduce such health-cost. The essence of this report is a cell-culture experimental approach for the production of genetically unstable cells from normal cells which with accumulation of “mutations” might reveal early, neoplastic-like pathology. Summarily the experimental focus was on: 1) establishment of a simple nutritional method (amino acid deprivation) for young-cell-response with depoly-ploidization of endopolyploid cells to diploid CIN-cells, 2) a first time observation of a fast growing new, small cell-type, appearing time-correlated with haploid segregations in normal, fibroblast metaphases and 3) growth characteristics of the progeny cells in 1) and 2) which from their young-cell derivation, could be growth-extended in cultural passages. This would hypothetically model early tumorigenic progression from normal cells. These studies revealed gain of proliferative advantage (GPA), multilayered, changed patterns of growth, focal 3-D cell-heaps with cell polarity change, and star-like mitotic forms. Comparatively, these developments were typical of hyperplasias. The transiency of the originating genome reductive mechanisms may have prevented earlier detections. It is discussed that present growth-changes were responses to homozygous-caused loss of heterozygosity (LOH) of putative pro-proliferation genetics, whereas leukemic and some solid tumor cells showed hemizygous-caused LOH in near-haploid clonal proliferations. The practical outcome is an experimentally simple, nutrition-based model system for SNP-based haplo-karyotyping of the two aberrant cell-types with GPA, which is a cancer, fundamental trait. Never before have cellular mechanism been shown to initiate in normal, human cells, neoplastic-like proliferative responses.
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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 | 0.000 | 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) | 0.002 | 0.001 |
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".