Bim Expression in Peritumoral Lymphocytes is Associated with Survival in Patients with Metastatic Clear Cell Renal Cell Carcinoma
Bibliographic record
Abstract
BACKGROUND: Bim (BCL-2-interacting mediator of cell death) is a downstream pro-apoptotic signaling molecule activated by the PD-1 pathway. OBJECTIVE: We sought to determine if Bim expression in peritumoral T-lymphocytes (PTLs) is associated with survival in patients with metastatic clear cell renal cell carcinoma (ccRCC). METHODS: Immunohistochemistry staining for Bim was performed on paraffin-embedded tumor tissue blocks from patients with metastatic ccRCC who underwent nephrectomy between 1990-2004. Associations of Bim expression with cancer-specific survival (CSS) and overall survival (OS) from date of metastasis were evaluated using multivariable Cox regression models, adjusting for age, sex, and metastases-score. RESULTS: 525 patients with metastatic ccRCC, of whom 169 (32%) had metastases at time of nephrectomy were studied. After multivariable adjustment, high Bim expression remained associated with worse CSS (HR = 1.31; 95% CI 1.07–1.59; p = 0.008) and OS (HR = 1.28; 95% CI 1.06–1.55; p = 0.01). The interaction between Bim and PD-L1 was not statistically significant for CSS ( p = 0.68) or OS ( p = 0.57), suggesting that the associations between Bim and survival outcomes were not significantly different based on tumor PD-L1 expression. CONCLUSION: High Bim expression in PTLs at nephrectomy is prognostic of worse CSS and OS in patients with metastatic ccRCC, irrespective of tumor PD-L1 expression. The role of earlier PD-1/PD-L1-directed therapy warrants evaluation in these patients.
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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 | 0.000 | 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 | 0.000 |
| 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".