PCV for Oligodendroglial Tumors: In Search of Prognostic Factors for Response and Survival
Bibliographic record
Abstract
BACKGROUND: We report survival and pretreatment prognostic factors for survival and chemosensitivity in 53 oligodendrogliomas treated with PCV (procarbazine, lomustine and vincristine) chemotherapy. METHODS: A total of 53 patients with histologically proven oligodendroglioma, anaplastic oligodendroglioma or oligo-astrocytoma and treated with PCV were extracted from the London Regional Cancer Center database. A retrospective review was conducted to evaluate overall survival and pretreatment prognostic factors for survival and chemosensitivity. RESULTS: The median survival time from diagnosis was 123.6 months. The overall five- and ten-year survival rates were 72.7% and 52.7% respectively. Age <40, seizure as an initial symptom, absence of cognitive deficit and presence of a homogeneous hypodense lesion without contrast enhancement on the initial pretreatment CT scan were all factors independently associated with favorable outcome. The presence of increased cellularity, pleomorphism, mitosis, vascular proliferation and grading as an anaplastic lesion using these surrogates on pathological assessment, were all associated with an unfavorable outcome in univariable analysis. In multivariable analysis, only the anaplastic grading and presence of increased cellularity were significant determinants of unfavorable survival. The only factor adversely associated with chemosensitivity was the presence of a focal symptom at presentation. CONCLUSION: Overall survival is significantly longer in oligodendroglial lesions than in fibrillary astrocytic tumors. A two tier grading system using standard morphological features seems accurate in predicting outcome in these patients. The presence of a neoplastic astrocytic component does not seem to impact the outcome. No clinical, radiological or pathological factor could be identified to reliably predict chemotherapy response.
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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) | 0.001 | 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".