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Aims: Over 50% of breast cancer cases are "Human epidermal growth factor receptor 2 (HER2) low breast cancer (BC)", characterized by HER2 immunohistochemistry (IHC) scores of 1+ or 2+ alongside no amplification on fluorescence in situ hybridization (FISH) testing. The development of new anti-HER2 antibody-drug conjugates (ADCs) for treating HER2-low breast cancers illustrates the importance of accurately assessing HER2 status, particularly HER2-low breast cancer. In this study we evaluated the performance of a deep-learning (DL) model for the assessment of HER2, including an assessment of the causes of discordances of HER2-Null between a pathologist and the DL model. We specifically focussed on aligning the DL model rules with the ASCO/CAP guidelines, including stained cells' staining intensity and completeness of membrane staining., Methods and Results: We trained a DL model on a multicentric cohort of breast cancer cases with HER2-IHC scores (n = 299). The model was validated on two independent multicentric validation cohorts (n = 369 and n = 92), with all cases reviewed by three senior breast pathologists. All cases underwent a thorough review by three senior breast pathologists, with the ground truth determined by a majority consensus on the final HER2 score among the pathologists. In total, 760 breast cancer cases were utilized throughout the training and validation phases of the study. The model's concordance with the ground truth (ICC = 0.77 [0.68-0.83]; Fisher P = 1.32e-10) is higher than the average agreement among the three senior pathologists (ICC = 0.45 [0.17-0.65]; Fisher P = 2e-3). In the two validation cohorts, the DL model identifies 95% [93% - 98%] and 97% [91% - 100%] of HER2-low and HER2-positive tumours, respectively. Discordant results were characterized by morphological features such as extended fibrosis, a high number of tumour-infiltrating lymphocytes, and necrosis, whilst some artefacts such as nonspecific background cytoplasmic stain in the cytoplasm of tumour cells also cause discrepancy., Conclusion: Deep learning can support pathologists' interpretation of difficult HER2-low cases. Morphological variables and some specific artefacts can cause discrepant HER2-scores between the pathologist and the DL model., (© 2024 John Wiley & Sons Ltd.)

New therapies are being developed for breast cancer, and in this process, some "old" biomarkers are reutilized and given a new purpose. It is not always recognized that by changing a biomarker's intended use, a new biomarker assay is created. The Ki-67 biomarker is typically assessed by immunohistochemistry (IHC) to provide a proliferative index in breast cancer. Canadian laboratories assessed the analytical performance and diagnostic accuracy of their Ki-67 IHC laboratory-developed tests (LDTs) of relevance for the LDTs' clinical utility. Canadian clinical IHC laboratories enrolled in the Canadian Biomarker Quality Assurance Pilot Run for Ki-67 in breast cancer by invitation. The Dako Ki-67 IHC pharmDx assay was employed as a study reference assay. The Dako central laboratory was the reference laboratory. Participants received unstained slides of breast cancer tissue microarrays with 32 cases and performed their in-house Ki-67 assays. The results were assessed using QuPath, an open-source software application for bioimage analysis. Positive percent agreement (PPA, sensitivity) and negative percent agreement (NPA, specificity) were calculated against the Dako Ki-67 IHC pharmDx assay for 5%, 10%, 20%, and 30% cutoffs. Overall, PPA and NPA varied depending on the selected cutoff; participants were more successful with 5% and 10%, than with 20% and 30% cutoffs. Only 4 of 16 laboratories had robust IHC protocols with acceptable PPA for all cutoffs. The lowest PPA for the 5% cutoff was 85%, for 10% was 63%, for 20% was 14%, and for 30% was 13%. The lowest NPA for the 5% cutoff was 50%, for 10% was 33%, for 20% was 50%, and for 30% was 57%. Despite many years of international efforts to standardize IHC testing for Ki-67 in breast cancer, our results indicate that Canadian clinical LDTs have a wide analytical sensitivity range and poor agreement for 20% and 30% cutoffs. The poor agreement was not due to the readout but rather due to IHC protocol conditions. International Ki-67 in Breast Cancer Working Group (IKWG) recommendations related to Ki-67 IHC standardization cannot take full effect without reliable fit-for-purpose reference materials that are required for the initial assay calibration, assay performance monitoring, and proficiency testing., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

With the major development of immunotherapies, evaluation of the immune response associated to cancer has become the new challenge for pathologists. In breast cancer, this perspective has been notably anticipated by the recent publication, in 2014, of international guidelines for assessment of tumor-infiltrating lymphocytes (TILs), on routine haematoxylin-eosin stains. This technical article aims at reviewing the main key points and different steps in evaluation of tumor-infiltrating lymphocytes, in order to allow an easy implementation of this putative biomarker in routine practice. Widespread diffusion of international guidelines is the key to development of a standardized and reproducible biomarker. This early learning phase is of particular importance, as immune response will probably play a major role as a prognostic and predictive biomarker, especially in triple-negative and HER2 positive breast cancer., (Copyright © 2016 Elsevier Masson SAS. All rights reserved.)

Biomarker assessment of breast cancer tumor samples is part of the routine workflow of pathology laboratories. International guidelines have recently been updated, with special regards to the pre-analytical steps that are critical for the quality of immunohistochemical and in situ hybridization procedures, whatever the biomarker analyzed. Fixation and specimen handling protocols must be standardized, validated and carefully tracked. Cooperation and training of the personnel involved in the specimen workflow (e.g. radiologists, surgeons, nurses, technicians and pathologists) are of paramount importance. The GEFPICS' update of the recommendations herein details and comments the different steps of the pre-analytical process. Application of these guidelines and participation to quality insurance programs are mandatory to ensure the correct evaluation of oncotheranostic biomarkers., (Copyright © 2014 Elsevier Masson SAS. All rights reserved.)

Amplification of 11q13 is found in approximately 15% of breast cancers. Cyclin D1 (CCND1) has been reported to be the 'driver' of this amplicon, however, multiple genes map to the smallest region of amplification of 11q13. Out of these genes, cortactin (CTTN) has been shown to be consistently overexpressed at the mRNA level in tumours harbouring 11q13 amplification. The aims of this study are to define whether CTTN is consistently co-amplified with the main core of the 11q13 amplicon, whether it is consistently overexpressed when amplified and to determine correlations between CTTN amplification and overexpression with clinicopathological features of breast cancers and survival of breast cancer patients. CTTN and CCND1 chromogenic in situ hybridisation (CISH) probes and a validated monoclonal antibody against CTTN were applied to a tissue microarray of a cohort of breast cancers from patients treated with anthracycline-based chemotherapy. CTTN and CCND1 amplifications were found in 12.3 and 12.4% of cases, respectively. All cases harbouring CTTN amplification also displayed CCND1 amplification. High expression of CTTN was found in 10.8% of cases and was associated with CTTN amplification, expression of 'basal' markers and topoisomerase IIα. Exploratory subgroup analysis of tumours devoid of 11q13 amplification revealed that high expression of CTTN in the absence of CTTN gene amplification was associated with lymph node negative disease, lack of hormone receptors and FOXA1, expression of 'basal' markers, high Ki-67 indices, p53 nuclear expression, and basal-like and triple negative phenotypes. CTTN expression and CTTN gene amplification were not associated with disease-, metastasis-free and overall survival. In conclusion, CTTN is consistently co-amplified with CCND1 and expressed at higher levels in breast cancers harbouring 11q13 amplification, suggesting that CTTN may also constitute one of the drivers of this amplicon. CTTN expression is not associated with the outcome of breast cancer patients treated with anthracycline-based chemotherapy.

Aims: To assess the impact of cytokeratin (CK) 5/6 and E-cadherin immunohistochemistry on diagnostic agreement of non-invasive proliferative breast lesions. Methods and results: Twenty pathologists classified 105 cases of non-invasive proliferative breast lesions into 10 diagnostic categories. One haematoxylin and eosin (H&E) slide of each case was analysed on a first round and one H&E slide with corresponding CK5/6 and E-cadherin immunohistochemistry was analysed on a second round. Interobserver reproducibility for category-specific and management-specific lesions was measured on each round. CK5/6 and E-cadherin had little impact on diagnostic agreement, which remained moderate between the first and second rounds (overall κ coefficients of 0.47 and 0.53, respectively, P = NS). Levels of agreement slightly improved for lesions with specific CK5/6 and E-cadherin immunoprofiles (usual ductal hyperplasia, atypical ductal hyperplasia, atypical lobular hyperplasia, lobular carcinoma in situ, non-high-grade ductal carcinoma in situ), but the differences observed were not statistically significant. However, diagnostic agreement improved when lesions were grouped according to their management category (overall κ coefficients of 0.58 and 0.66 in the first and second rounds, respectively). Conclusions: CK5/6 and E-cadherin immunohistochemistry has little impact on interobserver reproducibility for non-invasive breast lesions. Diagnostic agreement can, however, be improved by grouping lesions in management categories. [ABSTRACT FROM AUTHOR]

Background The genomic grade index (GGI) completes the prognostic value of histological grade (HG). Other proliferation markers include the mitotic activity index (MAI) and the Ki67 immunohistochemistry (IHC) status. We compared the prognostic value of GGI, HG, MAI, Ki67 IHC and messenger RNA (mRNA) status in node-positive breast cancer (BC) patients treated with adjuvant anthracycline-based chemotherapy in the prospective PACS01 trial. Patients and methods The five proliferation-related parameters (GGI, Ki67 mRNA expression and centrally determined HG, MAI, and Ki67 IHC status) of tumours were available for 204 cases and analysed as continuous values. We compared the correlations of each one with the other proliferation-related parameters and with histoclinical variables including the disease-free survival (DFS). Results Expected correlations were observed between the five parameters and for each parameter with biological features (hormone-receptor and HER2 status, molecular subtypes), but the GGI displayed the strongest correlations. The GGI outperformed the prognostic performance of the four other proliferation-related parameters for the DFS in all 204 patients and in the 95 HG2 patients. In multivariate analysis including the classical prognostic factors, only GGI remained significant. Finally, the GGI outperformed the prognostic performance of MKI67 mRNA expression in a series of 1599 samples and 656 HG2 cases. Conclusions In this small pilot biomarker study ancillary to the PACS01 trial, the GGI outperforms the prognostic performance of centrally determined HG, MAI, Ki67 IHC status and mRNA expression. Further validation is warranted in larger series. [ABSTRACT FROM AUTHOR]

subset of breast cancers classified as HER2-positive by immunohistochemistry and in situ hybridisation, HER2 overexpression and gene amplification are restricted to a subset of >30% but not all cancer cells. Here we sought to characterise the repertoire of gene copy number aberrations and somatic mutations in the HER2-positive and HER2-negative components of cases with heterogeneous HER2 overexpression and gene amplification. Material and methods: Cases diagnosed as HER2 positive but with >30% but <100% of cells displaying HER2 overexpression were retrieved from the authors' institutions. HER2 heterogeneity status was re-assessed using immunohistochemistry and chromogenic and/ or fluorescence in situ hybridisation. For cases with confirmed HER2 gene amplification heterogeneity, HER2-positive and HER2-negative components were microdissected from tissue sections stained with the Herceptest antibody. DNA samples extracted from both components of each case were subjected to microarray-based comparative genomic hybridisation (aCGH), using a 32K BAC array platform with 50Kb resolution. The HER2- positive and HER2-negative components of cases with frozen material were also subjected to massively parallel targeted exome sequencing. Results: Twelve cases yielded sufficient DNA for aCGH analysis. Tumours were preferentially ER positive (83%) and of histological grade 3 (67%). The HER2-positive and HER2-negative components of all cases shared most of the copy number aberrations. A pairwise comparison of the genomic profiles of the two components from each case revealed that in ten of the twelve cases, copy number aberrations in addition to 17q12 amplification encompassing the HER2 gene locus were restricted to one of the two components. Exome sequencing of two cases suggested that the HER2-positive and HER2-negative components from each case harboured >30 somatic mutations in common, including identical TP53 somatic mutations in both components of each case. The HER2-negative component of one of the cases displayed a somatic mutation in NRG2, an ERBB receptor ligand, and the HER2-negative component of the other case harboured a mutation in PTTG1IP, a proto-oncogene with putative oestrogen receptor elements. Conclusions: Our results demonstrate that in HER2-positive breast cancers with heterogeneous HER2 gene amplification, the HER2-positive and HER2-negative components are clonally related. The distinct genomic profiles of HER2-positive and HER2-negative components, however, suggest that, at least in some of these cases, HER2 amplification may constitute a relatively late event in tumour evolution. Exome sequencing revealed mutations restricted to the HER2-negative components of HER2-positive tumours with heterogeneous HER2 overexpression/gene amplification, which may constitute potential drivers in the absence of HER2 overexpression/gene amplification. [ABSTRACT FROM AUTHOR]