Abstract 1643: Cytotoxic T lymphocyte CD3+, CD8+, and immunoscore as prognostic marker in patients after radical cystectomy
Bibliographic record
Abstract
Abstract Purpose: Prognosis after radical cystectomy for bladder cancer can be unpredictable. There is increasing evidence that the presence of cytotoxic T lymphocytes correlates with survival. The Immunoscore, a new approach to classification of cancer using the number, type and distribution of immune cells, is an independent predictor for survival in colon cancer. Our objective was to evaluate the prognostic impact of lymphocyte distribution and the Immnoscore in bladder cancer. Methods: Cystectomy sections with core tumor (CT) involvement and identifiable invasive margin (IM) were selected and stained for CD3+ and CD8+ lymphocytes. Three non-contiguous areas of highest lymphocyte density were selected from both CT and IM. The number of lymphocytes in each area was used to calculate the Immunoscore based on previously defined criteria. Kaplan-Meier curves were used to determine differences between Disease-free Survival (DFS) and Overall Survival (OS). Multivariate Cox proportional hazards model was used to determine hazard ratios. Results: Total of 67 patients who had cystectomy for invasive bladder cancer were included in the study. High concentration of CD8+ lymphocytes in the tumour margin was associated with better DFS (P=0.005) and OS (P=0.03). Similar results were found for CD3+ lymphocytes with regards to DFS (P=0.05). A higher Immunoscore was also associated with better DFS (P=0.04). On multivariate analysis, CD8+ in the invasive margin was independently associated with better prognosis. Conclusions: The host’s own immune system plays a valuable role in clinical outcome. Our data suggests that a strong immune response in the tumor margin is independently associated with better prognosis. Citation Format: Jose J. Mansure, Alice Yu, Shraddha Solanki, Ana B. Dias, Miguel M. Burnier, Fadi Brimo, Wassim Kassouf. Cytotoxic T lymphocyte CD3+, CD8+, and immunoscore as prognostic marker in patients after radical cystectomy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1643. doi:10.1158/1538-7445.AM2017-1643
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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".