Dendritic Cell Infiltration and Prognosis of Early Stage Breast Cancer
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Although dendritic cells (DC) and T cells can infiltrate primary breast carcinoma, it remains unclear whether the immune response influences the clinical outcome. EXPERIMENTAL DESIGN: T lymphocytes and DC infiltration within primary tumors was investigated in 152 patients with invasive nonmetastatic breast cancer. CD1a, CD3, CD68, CD123, CD207/Langerin, and CD208/DC-LAMP expression was assessed with semiquantitative immunohistochemical analysis. Expression of chemokines involved in DC migration (MIP-3a/CCL20, MIP-3b/CCL19, and 6Ckine/CCL21) was also examined. The correlation between these markers and the characteristics of the tumors, as well as relapse-free and overall survival was analyzed. Significant prognostic parameters were then tested in a validation series. RESULTS: Infiltration by immature CD207/Langerin+ DC was found in a third of the cancers and did not correlate with clinicopathological data. Presence of mature CD208/DC-LAMP+ DC (56%) and CD3+ T cells (82%) strongly correlated with lymph node involvement and tumor grade. Among the chemokines analyzed, only the presence of MIP-3b/CCL19 in 57% of the tumors correlated with prolonged overall survival. CD123+ plasmacytoid DC (pDC) infiltrated 13% of the primary tumors. Their presence was strongly associated with shorter overall survival (93% versus 58% at 60 months) and relapse-free survival (90% versus 37% at 60 months) and was found to be an independent prognostic factor for overall survival and relapse-free survival and confirmed in an independent validation series of 103 patients. CONCLUSIONS: Infiltration by pDC of primary localized breast tumor correlates with an adverse outcome, suggesting their contribution in the progression of breast cancer.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it