Role of Mitochondrial Markers in Improved Detection and Risk-Stratification in Barrett's Esophagus Patients.
Bibliographic record
Abstract
Barrett's esophagus (BE) is the only known precursor of esophageal adenocarcinoma (EAC) and is amenable to treatment. However, more than 90 percent of EAC patients are never diagnosed with antecedent BE. Identification of molecular markers for BE is needed to improve detection of BE through efficient non-endoscopic methods that are cost-effective, sensitive and can be used to cater to a larger group of the population at risk. Alterations in mitochondria and mitochondrial DNA have been shown to be associated with various cancers, including esophageal cancer. Mitochondrial response to oxidative stress, alterations in mitochondrial metabolism, changes in mitochondrial membrane potential and mitochondrial genetic mutations have been found to be associated with BE pathogenesis. This mini-review focuses on the role of mitochondria in the pathogenesis of BE and EAC and the prospects of using that knowledge to develop effective strategies for the improved detection and risk-stratification in BE patients.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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".