PTEN Mutations Associated with Increased Recurrence and Decreased Survival in Patients with Prostate Cancer Spinal Metastasis
Bibliographic record
Abstract
Introduction: Prostate cancer with spinal metastases (PCSM) is associated with high morbidity and mortality. The impact of biomarkers on the prognosis of spinal metastases, however, remains unclear. Objective: This study explored associations between potential biomarkers, treatment modalities, survival, and neurological outcomes in PCSM patients. Methods: We conducted a retrospective analysis of 68 patients as part of a neurosurgical cohort with PCSM at a comprehensive cancer center from 2013 to 2023, examining the influence of potential biomarkers, treatment modalities, and demographics on prognosis. The primary outcomes were the identification of biomarkers, overall survival (OS) in years, survival after spinal metastasis in years, spinal metastasis recurrence, and postoperative neurological outcomes via Frankel scores. Results: All the patients (n = 68) had adenocarcinoma, and the median age was 69 years. The mortality rate was 66% with a median OS of 6 years. Seventy-two biomarkers were identified. An accelerated failure time model (AFT) showed that radiotherapy to the prostate increased the OS (TR = 1.805, p = 0.001), while smoking status (TR = 0.625, p < 0.001) and PTEN gene mutations (TR = 0.504, p = 0.006) were associated with decreased OS. Kaplan–Meier analysis associated PTEN mutations with reduced median OS using the Gehan–Breslow–Wilcoxon test (3.50 vs. 9.49 years; p = 0.001). PTEN mutations were trending towards but were not significant for decreased survival following spinal metastases (2.04 vs. 3.15 years; p = 0.08). Both PTEN (p = 0.02) and Tumor Protein 53 (TP53, p = 0.01) mutations were associated with increased spinal metastasis recurrence when analyzed using Fisher’s exact test. No differences were observed in the median OS or survival after spinal metastases among patients with or without androgen receptor splice variant-7 (AR-V7), prostate-specific membrane antigen (PSMA), TP53, or other analyzed biomarkers. Similarly, neither age, receipt of chemotherapy, nor radiotherapy to the spine correlated with OS. Only chemotherapy was associated with a decreased postoperative Frankel Score (p = 0.002). Conclusions: PTEN mutations and smoking status were associated with decreased OS in patients with PCSM. Both PTEN and TP53 mutations were associated with increased spinal metastasis recurrence. Receipt of radiotherapy to the prostate was correlated with prolonged survival, whereas receipt of radiotherapy to the spine was not. Chemotherapy was associated with decreased postoperative neurological outcomes.
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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 | 0.001 |
| 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) | 0.002 | 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".