Tumour infiltrating lymphocytes and stromal CD68 in early stage HER2 positive breast cancer
Bibliographic record
Abstract
High levels of tumour infiltrating lymphocytes (TILs) at diagnosis were shown to be associated with decreased distant recurrence rates in triple negative breast cancer (BC) and increased trastuzumab (T) benefit in HER2+ disease.1 However, conflicting data showed that HER2+ cases with high TILs might not benefit from the addition of T to chemotherapy.2 Moreover, emerging literature suggests association between high tumour-associated macrophages (TAMs) and poor prognosis in patients with BC.3 We conducted a retrospective study using the Sunnybrook Biomatrix database to quantify TILs and macrophages markers in an HER2+ BC population treated with neoadjuvant chemotherapy and explore their role in predicting the benefit from T. Two independent pathologists with BC expertise reviewed all core biopsies to select the optimal slide for TILs assessment. Pathological complete response (pCR) was defined as no invasive residual in breast or nodes. After using the self-training tutorial supplementing the published guideline recommendations,4 the two pathologists semiquantified stromal TILs using 4–5 µm thick HE clone 790-2931; Ventana) on automated Benchmark Ultra platform in two runs using standard procedure. The proportion of CD68-positive stromal mononuclear cells of all TILs was evaluated using a double headed microscope and high CD68 ratio was defined as >60%. The inter-rater reliability was excellent (Cohen's κ 0.89). Fifty-two patients were successfully assessed. Baseline characteristics are presented in table 1. In the neoadjuvant setting, 40 patients received chemotherapy and T (77%) and 12 patients had only chemotherapy (23%). View this table: Table 1 Baseline characteristics The pCR rate was 41% in the whole cohort (21/51) and …
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How this classification was reachedexpand
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".