The Effects of Localized Heat on the Hallmarks of Cancer
Bibliographic record
Abstract
Abstract Heat has been used to treat tumors for thousands of years. There are reports of the Egyptians and Greek philosophers using such treatments as far back as 3000 BC and 500 BC respectively for various solid tumors. Albeit, in these cases, the treatment was not very controlled and consisted of hot sticks or blades placed against tissue in order to thermally ablate the tumor. It was not until recent times that the application of heat through various mediums enabled a more controlled, localized, and consistent method of treating tumors. While the therapeutic potential of this treatment has become more apparent, the mechanisms related to its efficacy are only recently beginning to surface. This review discusses the evidence associated with the effects of localized heat on the hallmarks of cancer. Key literature describing modulations to vasculature, cell viability, DNA damage and repair, metabolism, immune system, and tumor metastasis in response to heat will be reviewed along with considerations for its optimal implementation in the clinic to enhance the efficacy of conventional treatments.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".