Autophagy in clear cell ovarian cancer, a potential marker for hypoxia and poor prognosis?<sup>#</sup>
Bibliographic record
Abstract
Autophagy contributes to cell survival and is up-regulated under hypoxia in many different cancers. Ovarian cancer has a poor prognosis and is generally resistant to chemotherapy. Through genetic profiling, it has becoming evident that ovarian cancer has distinct subtypes but the significance of these subtypes in ovarian cancer remains unclear. In this issue, Dr Lum and colleagues have presented evidence that autophagy as measured by LC3A staining occurs in a clear cell ovarian cancer that is correlated with hypoxic regions and poor overall survival. In addition, autophagy under hypoxia appears to be higher in clear cell ovarian cancer cells compared to other subtypes. This indicates that autophagy could be a factor in drug resistance and poor survival in clear cell ovarian cancer patients. This insight could lead to a better understanding of the role of autophagy under hypoxia in human ovarian cancer and could be a valuable biomarker for the development of better therapies for clear cell ovarian cancers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.002 |
| 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".