Clinical Utility of Targeted Next-Generation Sequencing for Determining Human Epidermal Growth Factor Receptor 2 Status and Optimizing Targeted Therapy in Breast Cancer
Bibliographic record
Abstract
Background: The development of targeted next-generation sequencing (NGS) technologies has contributed to precision medicine, as evidenced by the growing interest in evaluating human epidermal growth factor receptor 2 (HER2) expression status to treat unresectable/metastatic HER2-low breast cancer (BC). However, the concordance between erb-b2 receptor tyrosine kinase 2 (ERBB2) copy number alteration (CNA) and HER2 immunohistochemistry (IHC) has never been determined. The aim of this study was to evaluate the utility of targeted NGS for determining HER2 status and optimizing targeted therapies for BC. Methods: ERBB2 CNAs were examined by targeted NGS in 41 formalin-fixed paraffin-embedded (FFPE) BC tissues. ERBB2 CNA was compared with HER2 status evaluated by IHC in tissue sections, which were identical to those subjected to targeted NGS, using the Ventana 4B5 antibody. Results: The median fold changes (FCs) for ERBB2 CNAs in tumors with an IHC score of 3+, 2+, 1+, and 0 were 4.81, 1.49, 1.00, and 1.00, respectively. The difference in the FC for ERBB2 CNA according to HER2 status was statistically significant (P < 0.001). An FC greater than 1.0 for ERBB2 CNA was established as the cutoff value to differentiate between tumors with an IHC score of 3+, 2+, or 1+ and tumors with an IHC score of 0, on the basis of receiver operating characteristic curve analysis. The overall percent agreement, positive percent agreement, negative percent agreement, and Cohen’s kappa between ERBB2 CNA and HER2 status were 68.3%, 57.7%, 86.7%, and 0.39, respectively. The numbers of patients with mutations in ERBB2, estrogen receptor 1 (ESR1), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), serine/threonine kinase 1 (AKT1), and phosphatase and tensin homolog (PTEN) were 7, 3, 6, 1, and 5, respectively. Targeted NGS detected additional gene mutations and presented treatment options for seven of 22 patients (31.8%) with an FC of ERBB2 CNA = 1.00. Conclusions: Targeted NGS has the potential in distinguishing HER2 IHC 3+, 2+, and 1+ tumors from IHC 0 in patients with BC; however, differentiating between HER2 IHC 1+ and 0 remains challenging. Additionally, targeted NGS may aid in the identification of actionable mutations, thereby contributing to the selection of optimal treatment strategies in BC management.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".