pH, Hypoxia and Metastasis
Bibliographic record
Abstract
The vascular supply to tumours is often poorly formed and irregular with the result that tumours may contain regions of poor nutritional supply with hypoxia and acidic pH. Clinical studies have demonstrated substantial heterogeneity in oxygenation in human tumours. In some studies tumours with poorer oxygenation were more likely to have metastasized. In our studies of carcinoma of the cervix, nodal metastases were 1.5 times more likely at diagnosis in patients with more hypoxic tumours relative to those with less hypoxic tumours. Transplanted rodent KHT fibrosarcomas and SCC-VII squamous cell tumours also have variability in levels of oxygenation; again, the more hypoxic tumours are found to be more metastatic. Furthermore, deliberate exposure of KHT tumours to cyclic hypoxia (12 cycles of 5% oxygen breathing for 10 min interspersed with 10 min air breathing) every day during their growth, doubled the level of micrometastases that were detected in the lungs of the mice. These findings are consistent with in vitro studies demonstrating that KHT and SCC-VII cells and B-16 melanoma cells exposed to hypoxia or low pH have increased propensity to form metastases following injection into-mice. This effect is transient and is lost within about 48 h of removal of exposure to hypoxia or low pH, suggesting that the effect may be due to changes in gene expression associated with that stress. Recent studies have implicated a number of genes, such as vascular endothelial growth factor and interleukin 8, in the effect of hypoxic and acid pH on metastasis.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".