Abstract B13: TIA1+ and FOXP3+ tumor infiltrating lymphocytes are positive prognostic factors in estrogen receptor negative breast cancer
Bibliographic record
Abstract
Abstract Background: Mounting evidence indicates that tumor-specific host immunity is associated with favorable prognosis in a variety of cancer settings. However, the role of immunity in breast cancer remains controversial. The purpose of this study was to determine the significance of tumor infiltrating leukocytes (TIL) with respect to pathological features and patient survival in estrogen receptor alpha (ER) negative breast cancer. Patients and Methods: Tissue microarrays and immunohistochemistry were used to assess and categorize TIL in a cohort of 255 ER-negative invasive ductal breast carcinomas. Cases were registered by the Manitoba Breast Tumor Bank during the years 1988 to 2000 and had a minimum follow-up of 36 months. Stromal and intraepithelial TIL expressing the markers CD3, CD8, CD4, TIA1, CD25, FOXP3, CD20, CD68, and myeloperoxidase (MPO) were quantified by an experienced pathologist (PHW) and evaluated for associations with pathological parameters and survival. The median value for each marker was used as a cut-point to define high versus low cases. Results: TIL expressing CD4, FOXP3, TIA1, CD20, or MPO were significantly associated with improved overall and disease-free survival (DFS). A combination of high TIA1+ and FOXP3+ TIL, termed IR (immune response)-high, was superior to any single TIL marker and was significantly associated with DFS in multivariate analysis involving the following covariates: nodal status, patient age, tumor size, tumor grade, Her2/PR expression, and adjuvant treatment (HR = 0.478, 95% CI 0.246–0.932; P = 0.030). IR associated with DFS principally in patients with axillary lymph node metastasis (P = 0.0019 versus P = 0.2659 for node-negative patients) and in those who did not receive adjuvant radiation or chemotherapy (P < 0.0001 versus P = 0.0489 for adjuvant-treated patients). Similarly, nodal status and adjuvant therapy had prognostic value only for patients with low IR. Indeed, the outcomes of IR-high cases with or without lymph node metastasis were nearly identical (10 year DFS rates of 65% and 69%, respectively; P = 0.6503), as were those of IR-high patients who did or did not receive adjuvant therapy (10 year DFS rates of 68% and 67%, respectively; P = 0.7997). Unlike standard prognostic features such as nodal status (P = 0.7941), IR correlated with DFS at times greater than five years after diagnosis (P = 0.0084). Conclusions: High levels of TIL are indicative of favorable prognosis in ER-negative breast cancer. The prognostic effects of TIL are particularly relevant for node-positive patients and those not treated with adjuvant radiation or chemotherapy. These findings suggest that in ER-negative disease, the survival benefits of adjuvant therapy may be restricted to patients with poor tumor-specific immune responses. Assessment of TIL may improve overall prognostic prediction for ER-negative breast cancer and may be useful in identifying patients who are likely to respond to adjuvant regimens. Furthermore, our data suggest that ER-negative breast cancer may be a strong candidate for the design and deployment of novel immunotherapies. Citation Information: Clin Cancer Res 2010;16(7 Suppl):B13
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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) | 0.003 | 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".