Correlation of peripheral blood lymphocyte counts with outcome and histopathologic features of lymphocytic inflammation in patients with stage II colorectal carcinoma.
Bibliographic record
Abstract
475 Background: The prognostic importance of the local antitumor immune response in colorectal carcinoma (CRC) is well established. Recent studies suggest that systemic antitumor immunity may also impact on survival. This study aimed to determine the relationship between peripheral blood lymphocyte counts (PBLCs), reactive features in regional lymph nodes, local tumoral/peri-tumoral lymphocytic inflammation and survival in stage II CRC. Methods: Resection specimens from 185 patients with stage II CRC were assessed for peri-tumoral lymphocytic inflammation, tumor-infiltrating lymphocytes, lymph node yield, lymph node size, and reactive changes in individual lymph nodes. Reactive changes were scored semi-quantitatively and given a reactivity [R] score of 1-4 based on the presence and size of germinal centers. Pre-operative PBLCs and neutrophil counts were recorded. Results: Lower peripheral lymphocyte counts were associated with advanced age (p = 0.016), T4 disease (p = 0.006), venous invasion (p = 0.006), lymph node yields <12 (p = 0.024), smaller mean nodal diameters (p = 0.021), absence of tumor-infiltrating lymphocytes (p = 0.002) and fewer highly-reactive lymph nodes (R score 4) per case (p = 0.032). Cox regression analysis revealed that advanced age (Hazard Ratio, 1.03 per year [95% confidence interval, 1.01-1.05]; p = 0.015) and higher peripheral lymphocyte counts (HR, 0.52 per 1x109cells/L [95% CI, 0.31-0.86]; p = 0.011) were independently predictive of disease-free survival. Neutrophil counts were not associated with outcome. A higher neutrophil to lymphocyte ratio was associated with worse survival on univariate, but not multivariable analysis. Conclusions: The PBLC is an independent predictor of survival in stage II CRC, and is significantly associated with the immune status of regional lymph nodes and the local lymphocytic immune 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 | 0.000 | 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".