Discordance of human epidermal growth factor receptor 2‐low status between breast primary and distant metastases with clinical–pathological correlation
Bibliographic record
Abstract
AIMS: Breast cancer with human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) 1+ or 2+ with negative in-situ hybridisation (ISH) (HER2-low) can now be targeted by HER2 antibody drug conjugates. We set out to compare HER2 status between matched primary invasive breast carcinoma (IBC) and distant metastases (DM) with clinical-pathological correlation, with specific interest in HER2-low. METHODS: Biomarker studies and clinical-pathological features of primary IBC with matched DM diagnosed between 2021 and 2022 were retrospectively analysed. HER2 status was assessed per 2023 American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) guidelines for IHC (4B5) and ISH (IQFISH pharmDX). Bilateral breast primaries were excluded. HER2 IHC 0 to 1+ were reassessed. RESULTS: One hundred and forty-seven cases of primary IBC with matched DM were identified. Biomarkers were performed on core biopsy (n = 74) and resection (n = 73). One hundred and twenty-six (86%) were initially classified as 'HER2-negative'; of these, 67 (46%) were reclassified as HER2-low. Patients with HER2-positive primaries were younger (P = 0.01) and had an increased incidence of micropapillary carcinoma (P = 0.02). HER2-low primaries also had an increased incidence of micropapillary carcinoma (P = 0.02) and oestrogen receptor (ER) positivity (P = 0.02) compared to HER2 0. One hundred and sixty-nine matched DM cases excluding bone metastasis were identified (range = one to seven metastases per IBC). The most common sites of metastases were liver (50 of 169, 30%), lung (36 of 169; 21%), distant lymph node (26 of 169, 15%); 138 DM cases (82%) were previously classified as 'HER2-negative', and 62 (37%) were reclassified as HER2-low. Like HER2-low primaries, HER2-low metastases were frequently ER-positive (52 of 62; 84%) (P = 0.02). Brain metastases were more frequently HER2-positive (five of 32; 16%) (P = 0.04). Comparing HER2 status in matched primaries and DM, HER2 status was discordant in 62 cases (37%). Most changes occurred from HER2-low to HER2 0 (33 of 169, 20%), HER2 0 to HER2-low (17 of 169, 10%) and HER2-low to positive (10 of 169, 6%). All HER2-low to HER2 0 changes were HER2 1+ to 0. In 30 patients with multiple DM sites (47 cases), HER2 status among different DM samples was discordant in 16 patients (53%), mainly from HER2-low to HER2 0 (16 of 47, 34%). CONCLUSION: A significant proportion of previous 'HER2-negative' primaries and DM cases were reclassified as HER2-low. Discordant HER2 status between IBC primary and metastasis and between different DM sites demonstrated tumour heterogeneity and highlights the need for HER2 retesting in distant metastasis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| 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".