MDR1 Gene Expression and Outcome in Osteosarcoma: A Prospective, Multicenter Study
Bibliographic record
Abstract
PURPOSE: Increased expression of the multidrug resistance gene (MDR1) has been implicated in osteosarcoma prognosis. This study represents the first prospective assessment of the prognostic value of MDR1 mRNA expression in patients with newly diagnosed extremity osteosarcoma. PATIENTS AND METHODS: A series of patients with high-grade, nonmetastatic extremity osteosarcoma were enrolled from six tertiary care institutions and observed prospectively for tumor recurrence (median follow-up duration, 30 months). All patients were treated with (neo)adjuvant chemotherapy and surgery. Tumors from 123 patients were analyzed for MDR1 mRNA expression. The association of the level of MDR1 expression with the risk of systemic recurrence was examined using survival analyses with traditional and histologic markers as prognostic factors. RESULTS: Using the highest MDR1 value for each patient, a dose-response relationship was not identified between the level of MDR1 expression and systemic relapse (relative risk, 1.15; P =.44). Analyses based on biopsy or resection values alone gave similar results (P =.11 and.41, respectively, log rank test). In multivariate analysis, large tumor size (> 9 cm) was the only significant independent predictor of systemic outcome (relative risk, 2.8; P =.002). CONCLUSION: We did not identify any correlation between MDR1 mRNA expression and disease progression in patients with osteosarcoma. It is likely that alterations in other genes are involved in resistance to chemotherapy in osteosarcoma and that they play a more critical role than MDR1 in this disease.
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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 | 0.002 | 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 | 0.000 | 0.001 |
| 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".