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For 2 decades, the American Society of Clinial Oncology-College of American Pathologists human epidermal growth factor receptor 2 (HER2) testing criteria have included 0 and 1+ scores, but this distinction was inconsequential. Now, based on the DESTINY Breast-04 Trial (DB-04) results, for patients with metastatic breast cancer it underpins eligibility for trastuzumab-deruxtecan treatment. Discerning 0 from 1+ immunohistochemistry (IHC) staining is challenging, as HER2 low is not a biologically distinct cancer subset, there are no reference standards or controls, and second-tier tests (eg, in situ hybridization) do not apply. Prior reports cast doubt on the reliability of pathologists' IHC scoring, with resulting treatment misalignments. With institutional review board approval, our group of 9 breast pathologists from 8 Australian laboratories had previously established HER2-low-focused scoring conventions, based on the American Society of Clinial Oncology-College of American Pathologists 2018 HER2 guidelines, and specifying common staining pitfalls. We reported the results of the first set of 60 breast cancers evaluated with these methods. After a 5-month washout, for the present validation study, we have compiled a second set of 64 HER2-negative invasive breast cancer core biopsies, all assessed with the Ventana 4B5 HER2 assay. We have each scored digitized images of HER2 IHC slides of the cases. Using the majority opinion as the target score, we have calculated our performance metrics. We have compared the results of our performance in set 1 and set 2 to assess the effectiveness of our approach and learning retention. The cases in this validation set included 40 (62.5%) HER2 low, 10 (17.2%) ultralow (UL), and 13 (18.8%) null cancers. Concordance was not achieved in 1 case. For distinguishing HER2 low from other cancers (UL and null combined) the mean values of our performance metrics were accuracy 89.58%, sensitivity 90.83%, specificity 87.50%, positive predictive value 95.63%, negative predictive value 83.59%, and Cohen kappa score 0.81. Comparing these results with our initial study, we have maintained our high level of performance across these parameters. Our mean kappa score is now in the excellent range for concordance. Maintaining high performance across a range of measures in 2 separate data sets validates the effectiveness of our HER2-low-focused scoring conventions. Having validated our approach, we will use these reference case sets with expert-level consensus scores for peer training and updating our national HER2 IHC external quality assurance program. In our ongoing studies, we are also assessing the performance of software algorithms to determine their suitability for the prescreening of HER2 IHC slides.
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http://dx.doi.org/10.1016/j.modpat.2024.100693 | DOI Listing |
Deep learning models applied to digital histology can predict gene expression signatures (GES) and offer a low-cost, rapidly available alternative to molecular testing at the time of diagnosis. We optimized transformer-based models to infer GES results and applied this approach to pre-treatment H&E-stained biopsies from 1,940 breast cancer patients treated with neoadjuvant chemotherapy in clinical trial and real-world cohorts. The most predictive histology-derived GES for pathologic complete response (pCR) in the I-SPY2 trial was validated in four external cohorts: CALGB 40601, CALGB 40603, a trial of durvalumab plus CT, and standard-of-care CT-treated patients from the University of Chicago.
View Article and Find Full Text PDFBreast cancer is a heterogeneous disease with numerous histological subtypes. Invasive lobular cancer (ILC) is the most common special subtype, accounting for 10-15% of all breast cancers. The pathognomonic feature of ILC is the loss of E-cadherin (CDH1), which leads to a unique single-file growth pattern of discohesive cells.
View Article and Find Full Text PDFWorld J Surg Oncol
September 2025
Department of Breast Surgery, The Affiliated Huizhou Hospital, Guangzhou Medical University, No.1 Xuebei Road, Huizhou, Guangdong, 516000, China.
Introduction: HER2-negative breast cancers can be further subclassified into HER2-low and HER2-zero subtypes. The DESTINY-Breast04 trial has established HER2-low as a research hotspot, with recent studies indicating superior survival rates in HER2-low patients than HER2-zero patients. The impact of heterogeneous hormone receptor (HR) expression patterns on HER2-negative breast cancer has not been comprehensively investigated.
View Article and Find Full Text PDFNat Med
September 2025
Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.
CDK4/6 inhibitors (CDK4/6i) improve outcome in patients with advanced estrogen receptor-positive, HER2 breast cancer. The phase 3 SONIA trial compared the addition of CDK4/6i to first- versus second-line endocrine therapy for time to disease progression after second-line treatment (progression-free survival after two lines of treatment (PFS2)), as well as for secondary outcomes overall survival, PFS after one line of treatment (PFS1), health-related quality of life (HRQOL), toxicity and cost-effectiveness. No significant difference in PFS2 was observed; however, on an individual patient level this may be different.
View Article and Find Full Text PDFCancer Res Treat
September 2025
Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Purpose: In hormone receptor (HR)-positive, HER2-negative early breast cancer, gene expression testing facilitates treatment decisions. A next-generation sequencing (NGS)-based assay was developed to address test decentralization and underrepresentation of younger/premenopausal patients. We aimed to validate the long-term prognostic value of the NGS-based assay and analyze its quality control (QC) parameters.
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