Biopsy Confirmation of Metastatic Disease in Breast Cancer: Results from a Large Prospective Study.
Bibliographic record
Abstract
Abstract Purpose: Decisions about systemic treatment of women with metastatic breast cancer are often based on estrogen receptor (ER), progesterone receptor (PgR), and HER2/neu status of the primary tumour. This study prospectively investigated concordance in receptor status between primary tumour and distant metastases at various stages of progression and assessed the impact of any discordance on patient management.Methods: Biopsies of suspected metastatic lesions were obtained from patients and analyzed for ER/PgR and HER2/neu. Receptor status of metastases was compared to the primary tumour. The treating physician completed questionnaires before and after biopsy to determine whether the biopsy result lead to a change in treatment plan.Results: One hundred and sixteen women were enrolled and 102 underwent biopsy. Of these 52 (51%) were newly diagnosed with metastatic disease, 17 (17%) had received one line of metastatic treatment and 35 (34%) had received 2 or more lines of treatment in the metastatic setting. 86/102 (84%) of samples were sufficient analysis; of these 5/86 biopsies (6%) showed benign disease and one biopsy (1%) confirmed a different malignancy (indolent lymphoma). Changes in hormone receptor status were observed in 33%. Among these, ER discordance was seen in 11%, PgR discordance in 27% and discordance in both ER and PgR in 5%. Loss of PgR was the most common change in hormone receptor status (25%). HER2/neu showed 4% discordance. Three patients (3%) gained and one patient (1%) lost HER2/neu expression. Biopsy results led to a change of management in 12% of patients. Patients with newly diagnosed metastatic disease were more likely to show discordance than those previously treated in the metastatic setting. Among triple negative primary tumours, no changes in receptor expression of metastases were seen.Conclusions: This is the largest prospective biopsy study we are aware of. Results demonstrate the presence of substantial discordance in receptor status between primary tumour and metastases. The number needed to biopsy to alter immediate management was 8.5, although biopsy information could also be useful in planning subsequent treatments. Tissue confirmation should therefore, be considered in all patients with suspicion of metastatic recurrence or progression. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 2023.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".