Long term follow-up analysis of plasma miR371 expression to detect early relapse in patients with clinical stage I testicular germ cell tumors on surveillance.
Bibliographic record
Abstract
5006 Background: Clinical Stage I (CSI) is the most common presentation of germ cell testicular tumors (GCT) and patients are usually managed with active surveillance, in absence of reliable biomarkers of relapse. Circulating plasma miR371a-3p (miR371) has demonstrated high sensitivity and specificity in advanced non teratoma GCT. However, its operating characteristics and power to detect early relapse are still undefined. Methods: CSI GCT patients enrolled in the British Columbia provincial biobank with available plasma samples after radical orchiectomy were included in this study. Plasma miR371 was qualitatively assessed by RT-PCR. Sensitivity, specificity, negative and positive predictive values (NPV, PPV) and AUC in predicting tumor recurrence were evaluated in the post-orchiectomy blood samples and/or during the follow-up prior to or at the time of the clinically evident relapse. Relapse free survival (RFS) was correlated to post-orchiectomy miR371 status. Results: One-hundred-one patients were analyzed, 35 (34.6%) experienced a disease relapse with a median follow-up of 41 months. miR371 was positive in 22/35 of the relapsed patients. The specificity and PPV were 100% (95% CI: 94.5 - 100 for both), sensitivity 62.8% (95% CI: 44.9 - 78.5), NPV 83.5% (95%CI: 76.7 - 88.6) and AUC 0.81 (95% CI: 0.71 - 0.91). No false positive results were observed. The RFS of the patients with positive post-orchiectomy miR37 was significantly shorter (median: 3.5 months vs. not reached; p<0.0001) compared to the patients with a negative post-orchiectomy miR371 (HR: 16.9; 95% CI: 2.1 - 135.7; p<0.0001). miR371 sensitivity correlated with tumor burden, time between tumor relapse and miRNA testing and histology (nonseminoma > seminoma). Conclusions: miR371 has high specificity and PPV in detecting GCT at an early stage and could be used to predict GCT relapse during surveillance and to guide treatment selection after orchiectomy. Further studies have been planned for validation of miR371 clinical utility.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".