Tumour-infiltrating FOXP3+ lymphocytes are associated with cytotoxic immune responses and good clinical outcome in oestrogen receptor-negative breast cancer
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Regulatory T cells (Tregs) are commonly identified by expression of the transcription factor FOXP3 and are conventionally thought to promote cancer progression by suppressing anti-tumour immune responses. We examined the relationship between FOXP3(+) tumour-infiltrating lymphocytes (TIL) and prognosis in oestrogen receptor (ER)-negative breast cancer, a tumour subtype with poor clinical outcome in which TIL are abundant. METHODS: FOXP3(+) and CD8(+) TIL were assessed by immunohistochemistry in a cohort of 175 ER- breast tumours. Results were confirmed in an independent data set of 78 ER- breast tumours with publically available gene expression data. RESULTS: High FOXP3(+) TIL levels were strongly associated with prolonged recurrence-free survival (HR=0.461, P=0.0002), particularly among basal-like tumours (HR=0.280, P=0.0001), for which FOXP3 status was independent of standard prognostic factors. Over 75% of FOXP3(+) TIL in triple negative breast tumours displayed a conventional CD4(+)CD25(+) Treg phenotype. Importantly, FOXP3(+) TIL were positively correlated with CD8(+) (cytotoxic) T cells (r(s)=0.76, P<0.0001), and were prognostically insignificant in tumours with low levels of CD8(+) TIL. These observations were confirmed in an independent cohort. CONCLUSION: In contrast with current dogma, we show for the first time that FOXP3(+) TIL are associated with robust anti-tumour immunity and favourable prognosis in ER- 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) | 0.001 | 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