Exonuclease 1 expression is associated with clinical progression, metastasis, and survival prognosis of prostate cancer
Bibliographic record
Abstract
Prostate cancer (PCa) is the most prevalent malignancy and the second leading cause of cancer-related deaths in the male population in western countries, and we explored the association between exonuclease 1 (EXO1) expression and clinical progression, metastasis (Met), and survival prognosis of PCa. EXO1 expression of high/low-metastatic patient-derived xenografts model was investigated and clinical correlation and prognosis outcomes were validated. EXO1 in high-metastatic models was significantly increased compared with low-metastatic lines. In memorial sloan-kettering cancer center (MSKCC) cohort, EXO1 expression positively correlated with PCa Met, and patients with high EXO1 had poor biochemical recurrence-free survival in primary PCa cohort. Validation in The Cancer Genome Atlas primary cohort indicated EXO1 expression was significantly associated with lymph node Met and disease-free survival. The overexpression of EXO1 is significantly associated with PCa poor survival outcome, and is a promising biomarker for PCa, especially for primary PCa. A prospective study is clearly needed to validate these findings.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".