Bibliographic record
Abstract
The role of antioxidants in cancer has been controversial for a long time. Although the public’s belief is that antioxidants prevent and/or inhibit cancer, there is increasing evidence to suggest the opposite: that cancer cells require antioxidants to survive. We wanted to interrogate the role of antioxidants in cancer by investigating both upstream regulators and downstream effectors of antioxidant signaling. We have identified protein tyrosine phosphatase non-receptor type 12 (PTPN12) as a novel regulator of antioxidant signaling in cancer. PTPN12 reduces reactive oxygen species (ROS) levels by promoting activity of the forkhead box O (FOXO) family of antioxidant transcription factors. We have also elucidated the impact of glutathione (GSH), the most abundant antioxidant in the cell, on tumorigenesis. We have found that GSH is required for cancer initiation, yet dispensable once transformation has occurred due to compensation provided by the thioredoxin (TXN) antioxidant pathway. Together, these studies expand our knowledge of the role of antioxidants in cancer and provide numerous avenues of research for the future.
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 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".