BIOM-30. BLOOD COUNTS THROUGH TREATMENT COURSE IN NEWLY DIAGNOSED GLIOBLASTOMA PATIENTS RECEIVING CHEMORADIATION
Bibliographic record
Abstract
Abstract BACKGROUND Glioblastoma (GBM) patients are treated with radiation therapy (RT), temozolomide, and corticosteroids which can affect hematologic and immunologic parameters. We examined lymphocytes, neutrophil-to-lymphocyte ratio and platelet measurements and their association with progression-free survival (PFS) overall survival (OS). METHODS We identified 759 newly diagnosed adult GBM patients treated at our institution in the temozolomide (TMZ) era with blood counts that could be automatically extracted from the electronic medical record during chemoradiation (CRT, defined as within 42 days of RT) and at first recurrence. Linear regression and Cox modeling were used to evaluate outcomes. RESULTS Median age was 60.3 years; 87% had KPS ≥ 70, 37.5% had gross total resection, and 90% received TMZ. Prior to RT, 56.4% (375/665) patients had a lymphocyte measurement < 1.0 × 1000 cells [K]/μL. Within 42 days of CRT, 81.7% (536/656) had a lymphocyte measurement < 1.0 K/μL, 37.8% (248/656) < 0.5 K/μL. 10.7% (58/544) patients developed grade 2 or higher neutropenia, 9.1% (50/547) patients developed grade 2 or higher thrombocytopenia. On multivariable analysis (MVA), older age (AHR1.03, p< 0.001), unmethylated MGMT status (AHR2.56,p< 0.001), lower RT dose (<54Gy, AHR 3.45, p< 0.001), male sex (AHR1.45, p=0.02), non-gross total resection (AHR1.63, p< 0.001), lymphopenia during CRT (AHR0.63, p=0.008) and higher NLR during CRT (AHR1.02, p=0.001) were significantly associated with worse OS. Older age (AHR1.01, p=0.02), unmethylated MGMT status (AHR2.44, p< 0.001), lower RT dose (AHR1.82, p=0.02), higher NLR during CRT (AHR1.03, p < 0.001) were significantly associated with worse PFS on MVA. At first recurrence, median lymphocyte count was 0.7 K/μL with 74% (348/468) patients < 1.0 K/μL and 27% < 0.5 K/μL. CONCLUSION Lymphopenia and higher neutrophil-to-lymphocyte ratio are associated with inferior outcomes. Persistent lymphopenia at time of first recurrence may have implications for clinical trial eligibility and immunotherapy approaches in recurrent GBM.
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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".