HER2 Status Research Articles

Clinical significance of HER2 expression between primary tumors and metastatic lymph nodes in patients with extramammary Paget's disease.

e21568 Background: HER2 has been reported to be a potential oncogene and therapeutic target in extramammary Paget's disease (EMPD). However, the expression of HER2 in EMPD, especially in matched metastatic lymph nodes (LNs), is limited. Here, we investigated the heterogeneity of HER2 expression between primary tumors and positive nodes and its clinical significance in advanced EMPD patients and detected the efficacy of HER2-targeted antibody drug conjugates (ADCs) in EMPD. Methods: A total of 170 patients with pathologically confirmed EMPD of the scrotum and/or penis treated at SYSUCC from 2003 to 2023 were included. HER2 IHC staining (anti-HER2/neu (4B5), Ventana) and scoring were performed according to the American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) 2023 guidelines. Outcome relationships were explored using Cohen's kappa coefficient, multivariate Cox regression and log-rank analysis. Results: A total of 102 primary tumor and 32 metastatic specimens were ultimately subjected to HER2 IHC staining. HER2 high-expression (IHC: 2/3+) was detected in 71.6% (0: 9.8%, 1+: 18.6%, 2+: 40.2% and 3+: 31.4%) and 68.8% (0: 21.9%, 1+: 9.4%, 2+: 28.1% and 3+: 40.6%) of the primary tumors and metastatic LNs, respectively. HER2-high EMPD patients experienced poorer outcomes, with a 5-year OS of 56.5%, than did HER2-low patients (P = 0.032). A multivariate Cox regression model showed that a positive lymph node (HR 15.39, 95% CI 3.79~62.43; P < 0.001) and HER2 high-expression in primary tumors (HR 3.68, 95% CI 1.49~9.09; P = 0.005) were independent poor prognostic factors. Notably, in 31 paired samples, 35.5% (n = 11) of patients had inconsistent HER2 expression between primary tumors and corresponding lymph node metastases. Six (19.4%) patients exhibited a shift from high expression of HER2 in primary tumors to low expression of HER2 in the lymph nodes, and 5 (16.1%) patients exhibited the reverse change. Advanced EMPD patients with HER2 high-expression were treated with Disitamab Vedotin (RC48), for which the ORR was 80% and the DCR was 100% (n = 5). No adverse events (AEs) above grade 3-4 were observed. Conclusions: HER2 was highly expressed in both primary and metastatic LNs in EMPD patients. However, there was some heterogeneity in HER2 expression between paired primary and corresponding metastatic LNs. The expression status of HER2 should be evaluated in both primary tumors and corresponding lymph node metastases. A positive lymph node and HER2 high-expression are poor prognostic factors in patients with EMPD. RC48 demonstrated significant efficacy in treating patients with HER2-high advanced EMPD and has promising potential that requires further validation.

The role of determining HER2neu status in patients with gastric cancer.

e16067 Background: Over the past two decades, gastric cancer has continued to maintain a leading position in both incidence and mortality rates among all malignant neoplasms in the Republic of Kazakhstan. Recent data indicate that amplification or overexpression of the HER2 gene is detected in 7-34% of gastric cancer cases, significantly impacting treatment outcomes. Studying a specific group of patients with HER2 overexpression in gastric cancer is of great interest in clinical oncology. Research aim: To examine the long-term treatment outcomes in patients with gastric cancer depending on the status and level of HER-2 expression in real clinical practice. Methods: Analysis was conducted on 172 formalin-fixed paraffin-embedded samples of gastric adenocarcinoma and gastroesophageal junction carcinoma, subjected to immunohistochemical examination to determine HER2 protein expression. Patients' ages ranged from 18 to 85 years, with a mean age of 61.7 years; among them, 106 (61.6%) were male and 66 (38.4%) were female. Of the 172 patients, 64 (37.2%) had primary tumors located at the gastroesophageal junction, while 108 (62.8%) had tumors located in the body of the stomach. Based on differentiation grade, the majority were G3-100 (50%), G2-91 (45%), G1-9 (5%). HER2 testing was performed on the Ventana BenchMark Ultra platform using the HER2 (4B5) antibody. Results: HER2 overexpression was detected in 26 (15.1%) of the 172 patients. Patients with HER2 2+ non-amplified were 6 (3.5%), HER2 2+ amplified were 8 (4.6%), HER2 1+ was detected in 19 (11%) cases, and HER2 0 was found in 121 (80.9%) cases. Long-term results revealed statistically significant differences, notably the highest overall survival rate in patients with HER-2 overexpression compared to HER-2 low and absence of HER-2. The HER2 3 (+FISH/SISH) variant was significantly more prevalent in 84.6% compared to HER2 0 in 52%, and HER2 1 in 48%, p < 0.05. Comparison of Her2 status using the chi-square method in groups revealed probable differences concerning tumor localization, with a criterion value of 0.034; morphological form (criterion value = 5.83); and differentiation grade (criterion value = 10.05). Conclusions: These results underscore the importance of further HER2 research in gastric cancer and gastroesophageal junction carcinoma for the development of personalized therapeutic strategies.

Demographics and survival outcomes of stage IV male breast cancer: A retrospective analysis of SEER database.

11142 Background: Male Breast Cancer (MBC) is a rare malignancy accounting for <1% of all breast cancer cases in the United States. It is often lately diagnosed due to lack of awareness leading to substantial morbidity and mortality. Previous studies revealed higher risk of death among males compared to females across all stages, but little known about the impact of Hormone Receptor (HR) and Human Epidermal growth factor Receptor 2(HER 2) statuses on prognosis and survival among MBC patients. So, we aim to study the survival outcomes of stage IV MBC patients using SEER (Surveillance, Epidemiology, and End Results) data. Methods: A retrospective analysis was conducted using a SEER database and identified stage IV MBC cases (Any T, Any N, M1) diagnosed between 2010-2015. The selection of these years is based on the reporting of HER2 status on SEER database starting from 2010 and to ensure a current period and a minimum of 5 years of follow-up. Patient demographics, tumor HR/HER 2 status and survival data were extracted and analyzed. Subgroup analyses were performed to show the correlation between HR/HER 2 status and survival. Results: The study included 144 patients. 59.7%(86/144) were above 60 years of age. Majority were Caucasians up to 68.1%(98/144) followed by African Americans 18.7% (27/144), Hispanics 6.9%(10/144) and Asians/Pacific Islanders 6.2%(9/144). Among the subtypes, the most common was HR+/HER2- consisting of 69.4%(100/144) followed by HR+/HER2+ 19.4%(28/144), HR-/HER2- 9.7%(14/144), HR-/HER2+ 1.4%(2/144). The median overall survival varied among different subtypes of breast cancer and was noted to be 31.5 months, 25 months, 4.5 months and 10 months among HR+/HER2-, HR+/HER2+, HR-/HER2- and HR-/HER2+ respectively (Table). In the comparison between HR+/HER2+ and HR-/HER2-, the risk of death differed significantly, as indicated by a hazard ratio of 0.26 (95% CI 0.12-0.56, p = 0.001), highlighting a poor survival of HR-/HER2-. Conclusions: This retrospective analysis provides valuable insights into the demographics and survival outcomes of stage IV MBC patients. Triple negative (HR-/HER2-) subtype continues to have poor outcomes in males as well, emphasizing the need to explore novel treatment strategies to improve outcomes for this unique patient population. Although, treatment regimens for MBC are extrapolated from women, the disparity in survival across all subtypes requires the need to get more men on breast cancer clinical trials when feasible. [Table: see text]

HER2 low hormone positive breast cancer: Unveiling the driver.

e12561 Background: A new HER2 targeting drug, Trastuzumab deruxtecan, has shown effectiveness among a subgroup of breast cancer (BC) patients previously reported as HER2 negative, challenging the established classification. HER2 low (IHC 1+ or IHC +2/ISH negative) require further study to understand their clinicopathological features and prognosis to determine whether they are indeed distinctly different from the HER2 negative subgroup. Methods: This retrospective study of 1029 early BC patients diagnosed between 2014 and 2022 in Alexandria university hospitals. Tumors originally reported as HER2 negative were reclassified into HER2 0 and HER2 low and stratified based on hormone receptor (HR) status. Clinical and pathological features were compared. Disease free survival (DFS), overall survival (OS) and time to recurrence (TTR) were calculated. Results: Out of the 1029 patients, 779 (75.7%) were reported as HER2 negative, after reviewing their files, 441 (56%) of them were found to be IHC 0, and 338 (43%) were HER2 low. 192 (18.7%) HER2 positive patients and 58 (5.6%) patients with undetermined HER2 status were excluded. HER2-low tumors were found to be positively associated with HR positive status compared to HER2-0 (302 [89.3%] vs. 368 [83.4%]; P=0.019). The rate of HER2-low significantly increased as the level of ER expression increased, from 37 of 190 (19.5%) ER-negative to 40 of 143 (28%) ER-low, 94 of 264(35.6%) ER-moderate and 167 of 432(38.7%) ER strong, p=<0.001. ER2-low were more likely to be ductal carcinoma (88.1% vs. 80.4%; p=0.004), and to have Ki67 level <20 (55% vs. 33%; p=0.008). When stratified according to HR status, ductal histology was still significantly higher in the HER2 low HR positive subgroup compared to the HER2-0 HR positive (87.6% vs. 80.3%; p=0.011). No significant difference between HER2-0 and HER2-low regarding age at presentation, menopausal status, tumor size, lymph node status, lymphovascular invasion, high grade, multifocality or extensive intraductal component. Median follow-up duration was 55 months, no significant differences between HER2-0 and HER2 low groups regarding relapse rate (22.6% vs. 21.6%), 5-year DFS (76.4% vs. 78%) or 5-year OS (81.7% vs. 87.4%), however TTR was significantly longer in the HER2 low HR positive group compared to the HER2-0 HR positive group (41.6 months vs. 31.3 months; p= 0.031). Conclusions: A positive correlation was observed between HER2 low and estrogen receptor positivity, as well as its level of expression. No significant differences were found between HER2 low and HER2-0 to support classifying HER2 low as a distinct group.

Discriminating subtypes in advanced breast cancer with ctDNA methylation profiling.

1013 Background: Immunohistochemical subtyping of advanced breast cancer is critical to direct appropriate therapy. Yet, biopsy of recurrent cancer may not be technically possible, single-site tumour biopsies sample only a single metastasis and subtype may change through therapy. We developed a non-invasive blood test to subtype tumours based on circulating tumor DNA (ctDNA) methylation profiling. Methods: We interrogated TCGA-BRCA (level 3) methylation data from 783 tumours to identify regions with aberrant CpG methylation that differed between breast cancers and normal tissues, and between different breast cancer subtypes. A capture based enzymatic ctDNA based methylation profile was developed targeting 1257 differentially methylated regions (TWIST Methyl custom panel, TWIST Bioscience, panel size 0.4Mb). Plasma samples from patients with breast cancer, and healthy donors, were sequenced with the capture assay. A machine learning (ML) classifier was built to detect the presence of breast cancer, and a second classifier was built to discriminate ER positive v ER negative, and HER2 positive v HER2 negative from ctDNA methylation profiles. A 10-fold stratified nested cross-validation was used to assess classifier characteristics. Results: Plasma samples from 427 people (126 health donor, 27 early breast cancer patients and 291 metastatic breast cancer patients), along with 133 tumor tissue samples, were sequenced and a ML classifier built to detect the presence of breast cancer. In cross-validation, a random forest classifier yielded a median AUC of 0.996 (SD 0.020), with sensitivity of 94.9% at 99% specificity. A total of 231 ER positive and 63 ER negative plasma samples from patients were used for IHC ER status differentiation. In cross-validation a LGBM classifier yielded a median AUC of 0.928 (SD 0.051). Median sensitivity was 76.7% at specificity 86-99%. A total of 11% (25/231) ER positive and 8% (5/63) ER negative samples were misclassified. A total of 41 HER2 positive and 253 HER2 negative plasma samples were used for IHC HER2 status differentiation. In cross-validation a LGBM classifier yielded a median AUC of 0.934 (SD 0.075). Median sensitivity was 77.5% at specificity 85-92%, A total of 7% (3/41) HER-2 positive and 13% (33/253) HER2 negative samples were misclassified. In both IHC classifiers, subtype misclassifications were likely due to multiple concurrent BC tumours of differing IHC subtypes, biopsy proven subtype transitions and low purity. Effects of tumor purity on IHC-based classifiers will also be presented. Conclusions: Non-invasivemethylation based ctDNA subtyping can detect the presence of breast cancer, and discriminate IHC subtypes, with high accuracy. Further assessment is warranted to assess whether methylation-based subtyping has the potential to report IHC subtypes when repeat biopsy is not possible, detect subtype transitions and direct advanced breast cancer treatment.

Population based assessment of HER-2 and PD-L1 positivity in gastric and gastroesophageal junction adenocarcinomas in a Canadian population.

e16038 Background: Current standard of care for advanced gastric and gastroesophageal cancers combines systemic chemotherapy with either human epidermal growth factor receptor 2 (HER-2) or programmed death ligand 1 (PD-L1) targeting therapy. New data is emerging that for patients whose tumours are positive for both HER-2 overexpression and have a PD-L1 combined positive score (CPS) >1%, combining all three treatment modalities results in superior outcomes. There is limited international data, and no Canadian data, exploring the frequency of patients who have tumours that are both HER-2 and PD-L1 positive who will be eligible for this novel treatment approach. Objective: To determine the proportion of patients in Nova Scotia with HER-2 positive gastric and GEJ adenocarcinomas who have a PD-L1 CPS score above established clinical thresholds. Methods: A retrospective review of PD-L1 and HER-2 status for all patients diagnosed with gastric and GEJ adenocarcinomas in Nova Scotia between June 3, 2022 and August 13, 2023 was completed. PD-L1 CPS was evaluated using the 28-8 assay and was considered positive if >1%. HER-2 overexpression was evaluated by immunohistochemistry and in cases with equivocal expression, status was based on fluorescence in situ hybridization. Results: Over the study period, 56 cases of gastric and 42 cases of GEJ adenocarcinoma were identified for a total of 98 cases. The median age of the study population was 73 years (range 38 - 91). 73 patients (74%) were male and 25 patients (26%) were female. HER-2 expression was evaluated in 92 cases, and PD-L1 CPS was evaluated in 95 cases. 19 cases (21%) were HER-2 positive and 86 cases (91%) were PD-L1 positive. 17 HER-2 positive cases were also PD-L1 positive (89%). Conclusions: This study provides population level data in a Canadian context on patients with gastric and GEJ adenocarcinoma with respect to HER-2 overexpression and PD-L1 status. This data will be helpful in planning allocation of clinical and financial resources as a new standard of care for these patients is established.

Prevalence of “HER2 ultra-low” among patients with advanced breast cancer with historical IHC0 status.

e13156 Background: Breast Cancer (BC) patients are classified as HER2-positive (IHC3+ or IHC2+/ISH+) or HER2-negative (IHC0, IHC1+ and 2+/ISH-). Within the HER2-negative category, patients who meet HER2-low (IHC1+ or IHC2+/ISH-) criteria can benefit from HER2 targeted therapy like trastuzumab deruxtecan. Patients who meet IHC0 criteria with incomplete and faint membrane staining in >0 but ≤10% of tumor cells — defined as “HER2 Ultra-low”, may also benefit from HER2 targeted therapy. This study aimed to assess the prevalence of “HER2 Ultra-Low” expression based on re-scored HER2 IHC biopsy slides. Methods: This study utilized EHR data from all three US Mayo Clinic campuses. A total of 300 patients with advanced BC (stages III-IV), and clinically documented HER2 IHC0 status between Jan 2017 and Jan 2023, were identified. One biopsy slide per patient (IHC assay: VENTANA Pathway anti-HER2/neu (4B5) rabbit monoclonal primary antibody) was digitized and scanned at 40x magnification. Two Mayo Clinic pathologists independently scored and reported HER2 status according to 2023 ASCO-CAP guidelines and included tumor stain percentage for each slide. Patients were considered “HER2 Ultra-Low” if their slide was scored as IHC0 with >0% but ≤10% staining. Cohen’s κ was used to quantify agreement between pathologists. Results: The re-scored patients (n=300) had a mean age of 57.8 years (SD=13.5), with ~97% having IHC0 documentation within 30 days of the reviewed biopsy slide. A total of 285 (95%) patients remained classified as IHC0 by at least one pathologist. Of these, 60% (n=171) were determined as “HER2 Ultra-low” by at least one pathologist. The rate of “HER2 Ultra-Low” per pathologist ranged from 43% (n=121) to 45% (n=104). The overall inter-pathologist concordance was 57%; patients with no observable HER2 IHC staining accounted for majority of the concordant patients (Table). Conclusions: About 3 in 5 advanced BC patients originally classified as HER2 IHC0 met the “HER2 Ultra-Low” criteria by at least one pathologist, implying that significant number of additional patients may benefit from HER2 targeted therapy. The relatively low concordance between HER2 expert pathologists in identifying lower levels of HER2 expression suggests the need for increased precision enabled by digital tools, leveraging AI, training for community practice pathologists, and continuing to follow best practice recommendations in determining HER2 IHC status. [Table: see text]

Reproductive characteristics, menopausal status, race and ethnicity, and risk of breast cancer subtypes defined by ER, PR and HER2 status: the Breast Cancer Etiology in Minorities study

BackgroundAssociations between reproductive factors and risk of breast cancer differ by subtype defined by joint estrogen receptor (ER), progesterone receptor (PR), and HER2 expression status. Racial and ethnic differences in the incidence of breast cancer subtypes suggest etiologic heterogeneity, yet data are limited because most studies have included non-Hispanic White women only.MethodsWe analyzed harmonized data for 2,794 breast cancer cases and 4,579 controls, of whom 90% self-identified as African American, Asian American or Hispanic. Questionnaire data were pooled from three population-based studies conducted in California and data on tumor characteristics were obtained from the California Cancer Registry. The study sample included 1,530 luminal A (ER-positive and/or PR-positive, HER2-negative), 442 luminal B (ER-positive and/or PR-positive, HER2-positive), 578 triple-negative (TN; ER-negative, PR-negative, HER2-negative), and 244 HER2-enriched (ER-negative, PR-negative, HER2-positive) cases. We used multivariable unconditional logistic regression models to estimate subtype-specific ORs and 95% confidence intervals associated with parity, breast-feeding, and other reproductive characteristics by menopausal status and race and ethnicity.ResultsSubtype-specific associations with reproductive factors revealed some notable differences by menopausal status and race and ethnicity. Specifically, higher parity without breast-feeding was associated with higher risk of luminal A and TN subtypes among premenopausal African American women. In contrast, among Asian American and Hispanic women, regardless of menopausal status, higher parity with a breast-feeding history was associated with lower risk of luminal A subtype. Among premenopausal women only, luminal A subtype was associated with older age at first full-term pregnancy (FTP), longer interval between menarche and first FTP, and shorter interval since last FTP, with similar OR estimates across the three racial and ethnic groups.ConclusionsSubtype-specific associations with reproductive factors overall and by menopausal status, and race and ethnicity, showed some differences, underscoring that understanding etiologic heterogeneity in racially and ethnically diverse study samples is essential. Breast-feeding is likely the only reproductive factor that is potentially modifiable. Targeted efforts to promote and facilitate breast-feeding could help mitigate the adverse effects of higher parity among premenopausal African American women.

Temporal Association Rule Mining: Race-Based Patterns of Treatment-Adverse Events in Breast Cancer Patients Using SEER-Medicare Dataset.

Disparities in the screening, treatment, and survival of African American (AA) patients with breast cancer extend to adverse events experienced with systemic therapy. However, data are limited and difficult to obtain. We addressed this challenge by applying temporal association rule (TAR) mining using the SEER-Medicare dataset for differences in the association of specific adverse events (AEs) and treatments (TRs) for breast cancer between AA and White women. We considered two categories of cancer care providers and settings: practitioners providing care in the outpatient units of hospitals and institutions and private practitioners providing care in their offices. We considered women enrolled in the Medicare fee-for-service option at age 65 who qualified by age and not disability, who were diagnosed with breast cancer with attributed patient factors of age and race, marital status, comorbidities, prior malignancies, prior therapy, disease factors of stage, grade, and ER/PR and Her2 status and laterality. We included 141 HCPCS drug J codes for chemotherapy, biotherapy, and hormone therapy drugs, which we consolidated into 46 mechanistic categories and generated AE data. We consolidated AEs from ICD9 codes into 18 categories associated with breast cancer therapy. We applied TAR mining to determine associations between the 46 TR and 18 AE categories in the context of the patient categories outlined. We applied the spark.mllib implementation of the FPGrowth algorithm, a parallel version called PFP. We considered differences of at least one unit of lift as significant between groups. The model's results demonstrated a high overlap between the model's identified TR-AEs associated set and the actual set. Our results demonstrate that specific TR/AE associations are highly dependent on race, stage, and venue of care administration. Our data demonstrate the usefulness of this approach in identifying differences in the associations between TRs and AEs in different populations and serve as a reference for predicting the likelihood of AEs in different patient populations treated for breast cancer. Our novel approach using unsupervised learning enables the discovery of association rules while paying special attention to temporal information, resulting in greater predictive and descriptive power as a patient's health and life status change over time.

Comparing the HER2 Status of the Primary Tumor to That of Disseminated Tumor Cells in Early Breast Cancer.

Breast cancer remains a leading cause of cancer mortality in women globally. Despite advancements in systemic therapy, the risk of distant recurrence persists even after such treatment and may be linked to disseminated tumor cells (DTCs). Variability in molecular characteristics between primary tumors (PTs) and distant metastases underscores the need to comprehensively understand metastatic pathways. This retrospective study investigated discrepancies between HER2 expression in PTs and DTCs and their implications for survival outcomes in 201 early breast cancer (EBC) patients. We found a significant association between HER2 expression in PTs and DTCs when classifying tumors as HER2-high/low/negative. Patients whose HER2 status was discordant between PTs and DTCs exhibited worse distant disease-free survival than those with concordant status. Multivariate analysis confirmed the HER2 status of DTCs as an independent prognostic factor for distant DFS. These findings emphasize the importance of assessing HER2 expression in DTCs and its potential implications for tailored therapy strategies in EBC. Furthermore, prospective trials are needed to validate these findings and explore targeted therapies based on the molecular characteristics of DTCs.

Assessment of the HER2 Equivocal Cases in Breast Cancer Following Laterality

Background: Breast cancer is a leading cancer among Indian women. Approximately 15-30% of cases are linked to HER2 gene overexpression, impacting survival. Despite of the advancements in HER2-targeted therapies equivocal HER2 status poses diagnostic challenges and is comparatively less studied. Breast cancer also displays a peculiar laterality, with a consistent left-sided predominance, yet the underlying factors remain unclear. Methods: A retrospective analysis of 488 breast cancer cases with equivocal HER2 status confirmed by Fluorescent In-Situ Hybridization (FISH) was conducted. Data included age, hormone receptor status, molecular subtypes, grade, Ki67 status, and FISH scores. Statistical analysis was performed using the R language, and laterality ratios were calculated. Results: Left-sided breast cancer prevalence was 64.95%, with a laterality ratio of 1.85. Age-related variations and significant laterality preferences were observed in Grade III tumors. Molecular subtypes, particularly Triple Negative, exhibited distinct laterality patterns. Equivocal cases displayed varied FISH scores, emphasizing molecular heterogeneity. Conclusions: This study comprehensively analysis of HER2-equivocal breast cancer cases, shedding light on laterality patterns and their associations. The observed left-sided predominance suggests potential underlying factors, including age, tumor grade, and molecular subtypes. Understanding these sophistications is crucial for personalized treatment strategies and warrants further investigation into the complex interplay of clinicopathological factors influencing breast cancer laterality.

Prediction of response to neoadjuvant chemotherapy by MammaTyper® across breast cancer subtypes: A retrospective cross-sectional study

BackgroundNeoadjuvant chemotherapy (NACT) is widely used in the treatment of triple-negative and HER2-positive breast cancer (BC), but its use in estrogen receptor (ER) and/or progesterone receptor (PR) positive/HER2-negative BC is questioned because of the low pathologic complete response (pCR) rates. This retrospective study assessed the mRNA-based MammaTyper® assay's capability of predicting pCR with NACT, and ER, PR, Ki67, and HER2 status at immunohistochemical (IHC) through transcriptomics. MethodsDiagnostic biopsies from 76 BC patients treated at the Cremona Hospital between 2012-2018 were analyzed. Relative mRNA expression levels of ERBB2, ESR1, PGR, and MKI67 were measured using the MammaTyper® kit and integrated into a pCR score. Predicting capability of pCR and standard IHC biomarkers could be assessed with ROC curves in 75 and 76 patients, respectively. ResultsOverall, 68.0% patients obtained a MammaTyper® high-score and 32.0% a MammaTyper® low-score. Among high-score patients, 62.7% achieved pCR, compared to 16.7% in the low-score group (p = 0.0003). The binary MammaTyper® score showed good prediction of pCR in the overall cohort (area under curve [AUC] = 0.756) and in HR+/HER2-negative cases (AUC = 0.774). In cases with residual disease, the continuous MammaTyper® score correlated moderately with residual tumor size and decrease in tumor size. MammaTyper® showed substantial agreement with IHC for ESR1/ER and ERBB2/HER2, and moderate agreement for PGR/PR and MKI67/Ki67. ConclusionOverall, MammaTyper® pCR score may serve as a standardized tool for predicting NACT response in HR+/HER2-negative BC, potentially guiding treatment strategies. Additionally, it could provide a more standardized and reproducible assessment of ER, PR, HER2, and Ki67 status.

Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model

Objective: This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer. Methods: A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness. Results: The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model (P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model (P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort (P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort (P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions: T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Impact of immunohistochemistry staining conditions on the incidence of human epidermal growth factor receptor 2 (HER2)-low breast cancer.

We investigated frequencies of HER2-low breast cancer (BC) (immunohistochemistry [IHC] 1+ or 2+ without gene amplification) before and after IHC conditions were modified in order to understand the impact of IHC staining conditions on frequencies of HER2-low BC. Primary BC cases diagnosed at the Yeungnam University Hospital (YUH, n = 728) or Keimyung University Dongsan Hospital (KUDH, n = 290) in 2022 were reviewed, and data on HER2 status and IHC conditions were collected (cohort 1). Both institutions used the 4B5 antibody for HER2 IHC but had different staining protocols. After modifications of the IHC conditions at both institutions, primary BC cases (YUH, n = 324 and KUDH, n = 135) diagnosed from April to July 2023 (cohort 2) were reviewed to assess any changes in the frequency of HER2 status. In cohort 1, of the 728 cases diagnosed at YUH, 556 (76.4%) were HER2-zero, 76 (10.4%) were HER2-low, and 96 (13.2%) were HER2-positive, and of the 290 cases diagnosed at KUDH, 135 (46.6%) were HER2-zero, 82 (28.3%) were HER2-low, and 73 (25.2%) were HER2-positive. Modifications in HER2 IHC staining conditions dramatically increased the frequencies of HER2-low BC in cohort 2 (YUH 38.9% and KUDH 49.6%), but they did not result in significant changes in the HER2-positive rates (YUH 15.4% and KUDH 25.2%) compared to cohort 1. In conclusion, minor modifications in HER2 IHC staining conditions significantly affected the frequency of HER2-low BC but had little impact on the HER2-positivity rate. Each pathology laboratory should verify IHC conditions using control slides (including 1+) to enable the accurate identification of HER2-low BC.

The HER2 flip-HER2 amplification of tumor cells in the cerebrospinal fluid of breast cancer patients with leptomeningeal disease: implications for treating the LM tumor with anti-HER2 therapy.

CNSide is a platform that detects and characterizes tumor cells in the cerebrospinal fluid (CSF) of patients with leptomeningeal disease (LMD). The platform was validated per College of American Pathologists (CAP) and Clinical Laboratories Improvement Amendment (CLIA) guidelines and run as a commercial Laboratory Developed Test (LDT) at Biocept in San Diego, CA. The platform allows CSF tumor cell (CSF-TC) enumeration and biomarker characterization by fluorescent in situ hybridization (FISH). We performed a multicenter retrospective chart review of HER2 FISH CNSide test results that were commercially ordered on 26 patients by physicians for LMD breast cancer patients between April 2020 and October 2022. We show that HER2 is amplified on CSF tumor cells in 62% (16/26) of LMD breast cancer patients. 10/26 (38%) patients had discordant HER2-positivity between the primary tumor tissue and CSF-TC; of these, 35% (9/26) of the patients displayed HER2 amplification on the CSF-TCs, however were categorized as HER2 negative on the primary tumor. Of the 27% (7/26) patients with a HER2 positive primary tumor, one patient showed a HER2 negative LMD tumor. Two patients, 8% (2/26) had a HER2 equivocal primary tumor; of these, one demonstrated a HER2 negative, and one a HER2 positive LMD tumor. Serial analysis (at least 4 longitudinal tests) of HER2 status of the CSF-TC throughout therapy was available for 14 patients and demonstrated that HER2 status of the LMD changed in 29% (4/14) during their treatment course and impacted care decisions. Our data suggests that CSF-TC HER2 FISH analysis in LMD breast cancer patients may be discordant to the primary tumor sample and the discovery of HER2 positivity in the CSF may open doors to anti-HER2 targeted therapy options for LMD patients.

Assessment of HER2 status in extramammary Paget disease and its implication for disitamab vedotin, a novel humanized anti-HER2 antibody-drug conjugate therapy.

Assessment of HER2 status in extramammary Paget disease and its implication for disitamab vedotin, a novel humanized anti-HER2 antibody-drug conjugate therapy.

The emerging predictive and prognostic role of HER2 in HER2-negative early breast cancer: a retrospective study.

Many patients with early breast cancer (eBC) undergoing neoadjuvant chemotherapy do not achieve pathological complete response (pCR), which is a prognostic factor. We examined the role of HER2-low expression in predicting pCR and prognosis in HER2-negative eBC. We evaluated patients with stage I-III HER2-negative BC, treated between 2013 and 2023 at The Royal Marsden NHS Foundation Trust, London. Tumors were classified based on estrogen receptor (ER) status and into HER2-low and HER2-zero subgroups. We analyzed pCR rates, relapse-free survival (RFS) and overall survival (OS). 754 patients were included in the analysis. pCR rate was 8.9% in the ER+ /HER2-low, 16.5% in the ER+ /HER2-zero, 38.9% in the ER- ER-/HER2-low and 35.9% in the ER-/HER2-zero eBC (p < 0.001). Multivariable analysis showed a significantly lower pCR rate in HER2-low compared to HER2-zero BC in the ER+ subgroup. At a median follow-up of 63.8months (59.9-67.4), we observed longer OS in HER2-low compared to HER2-zero patients in the overall and in the ER+ population. There was no predictive or prognostic impact of HER2-low status in the ER- population. This study supports the interpretation of HER2 status as a possible prognostic and predictive biomarker for HER2-negative eBC, especially among patients with ER+ disease.

Preoperative Differentiation of HER2-Zero and HER2-Low from HER2-Positive Invasive Ductal Breast Cancers Using BI-RADS MRI Features and Machine Learning Modeling.

Accurate determination of human epidermal growth factor receptor 2 (HER2) is important for choosing optimal HER2 targeting treatment strategies. HER2-low is currently considered HER2-negative, but patients may be eligible to receive new anti-HER2 drug conjugates. To use breast MRI BI-RADS features for classifying three HER2 levels, first to distinguish HER2-zero from HER2-low/positive (Task-1), and then to distinguish HER2-low from HER2-positive (Task-2). Retrospective. 621 invasive ductal cancer, 245 HER2-zero, 191 HER2-low, and 185 HER2-positive. For Task-1, 488 cases for training and 133 for testing. For Task-2, 294 cases for training and 82 for testing. 3.0 T; 3D T1-weighted DCE, short time inversion recovery T2, and single-shot EPI DWI. Pathological information and BI-RADS features were compared. Random Forest was used to select MRI features, and then four machine learning (ML) algorithms: decision tree (DT), support vector machine (SVM), k-nearest neighbors (k-NN), and artificial neural nets (ANN), were applied to build models. Chi-square test, one-way analysis of variance, and Kruskal-Wallis test were performed. The P values <0.05 were considered statistically significant. For ML models, the generated probability was used to construct the ROC curves. Peritumoral edema, the presence of multiple lesions and non-mass enhancement (NME) showed significant differences. For distinguishing HER2-zero from non-zero (low + positive), multiple lesions, edema, margin, and tumor size were selected, and the k-NN model achieved the highest AUC of 0.86 in the training set and 0.79 in the testing set. For differentiating HER2-low from HER2-positive, multiple lesions, edema, and margin were selected, and the DT model achieved the highest AUC of 0.79 in the training set and 0.69 in the testing set. BI-RADS features read by radiologists from preoperative MRI can be analyzed using more sophisticated feature selection and ML algorithms to build models for the classification of HER2 status and identify HER2-low. Stage 2.

Efficacy analysis of chemotherapy and endocrine therapy combined with targeted drugs after progression on cyclin-dependent kinase 4/6 inhibitor treatment in hormone receptor positive/human epidermal growth factor receptor 2-low metastatic breast cancer

Objective: To evaluate the efficacy of chemotherapy and endocrine therapy combined with targeted drugs after progression on cyclin-dependent kinase 4/6 (CDK4/6) inhibitor treatment in hormone receptor (HR) positive/human epidermal growth factor receptor 2 (HER2)-low metastatic breast cancer. Methods: Patients with metastatic breast cancer diagnosed with HR positive/HER2 low expression at the Fifth Medical Center of PLA General Hospital from October 1, 2018 to September 30, 2023 were retrospectively included. All patients received sequential chemotherapy or sequential endocrine therapy combined with targeted drugs after progression on CDK4/6 inhibitor treatment.The median follow-up was 9 months, and the follow-up ended on October 31, 2023. The patients were divided into chemotherapy group (receiving sequential chemotherapy) and endocrine therapy group (receiving sequential endocrine therapy combined with targeted drugs), according to the treatment plan. Information on demographic data, clinical and pathological diagnosis, treatment regimen, and efficacy evaluation was collected. The basic conditions of patients who may affect the curative effect of different treatment schemes were preset as stratified subgroups, including age, progesterone receptor (PR) status, HER2 status, disease-free survival, number of previous endocrine therapy and chemotherapy, and visceral metastasis. The primary endpoint was progression-free survival (PFS), the secondary endpoints were objective response rate (ORR), clinical benefit rate(CBR) and PFS based on stratification factors. The survival curve was plotted by Kaplan-Meier method, the comparison of PFS between groups was performed by log-rank test, and the comparison of ORR and CBR between groups were performed by χ2 test. Results: A total of 188 patients were included, including 126 patients in the chemotherapy group [all females, aged 29-74 (51±10) years] and 62 patients in the endocrine therapy group [1 male and 61 female, aged 29-77 (51±12) years]. ORR of chemotherapy group was 23.0% (29/126), higher than that of endocrine treatment group [3.2% (2/62)] (P<0.001); The CBR of chemotherapy group and endocrine therapy group were 46.8% (59/126) and 33.9% (21/62), respectively, with no statistical significance (P=0.091). The median PFS of chemotherapy group and endocrine therapy group were 5.0 (95%CI: 4.3-5.7) and 4.0 (95%CI: 1.6-6.4) months, respectively, with no statistical significance (P=0.484). In the preset stratified subgroups, the median PFS of chemotherapy [6.0 (95%CI: 5.4-6.6) months] was longer than that of endocrine combined with targeted therapy [2.0 (95%CI: 1.8-2.2) months] (P<0.001) in PR negative patients; In patients who had progressed on over 2 previous endocrine treatments, the median PFS of chemotherapy [5.0 (95%CI: 3.8-6.2) months] was longer than that of endocrine combined with targeted therapy [2.0 (95%CI: 0.6-3.4) months] (P=0.045). Conclusions: After progression on treatment with CDK4/6 inhibitors for HR-positive/HER2-low expression metastatic breast cancer, both chemotherapy and endocrine therpy combined with targeted drugs are viable treatment options. However, for patients with PR negative or ≥2 lines of endocrine therapy previously, priority should be accorded to chemotherapy.

A clinicopathological-imaging nomogram for the prediction of pathological complete response in breast cancer cases administered neoadjuvant therapy

ObjectiveTo construct a user-friendly nomogram with MRI and clinicopathological parameters for the prediction of pathological complete response (pCR) after neoadjuvant therapy (NAT) in patients with breast cancer (BC). MethodsWe retrospectively enrolled consecutive female patients pathologically confirmed with breast cancer who received NAT followed by surgery between January 2018 and December 2022 as the development cohort. Additionally, we prospectively collected eligible candidates between January 2023 and December 2023 as an external validation group at our institution. Pretreatment MRI features and clinicopathological variables were collected, and the pre- and post-treatment background parenchymal enhancement (BPE) and the changes in BPE on two MRIs were compared between patients who achieved pCR and those who did not. Multivariable logistic regression analysis was used to identify independent variables associated with pCR in the development cohort. These independent variables were combined into a predictive nomogram for which performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis, and external validation. ResultsIn the development cohort, there were a total of 276 female patients with a mean age of 48.3 ± 8.7 years, while in the validation cohort, there were 87 female patients with a mean age of 49.0 ± 9.5 years. Independent prognostic factors of pCR included small tumor size, HER2(+), high Ki-67 index,high signal enhancement ratio (SER), low minimum value of apparent diffusion coefficient (ADCmin), and significantly decreased BPE after NAT(change of BPE). The nomogram, which incorporates the above parameters, demonstrated excellent predictive performance in both the development and external validation cohorts, with AUC values of 0.900 and 0.850, respectively. Additionally, the nomogram showed excellent calibration capacities, as indicated by Hosmer-Lemeshow test p values of 0.508 and 0.423 in the two cohorts. Furthermore, the nomogram provided greater net benefits compared to the default simple schemes in both cohorts. ConclusionA nomogram constructed using tumor size, HER2 status, Ki-67 index, SER, ADCmin, and changes in pre- and post-NAT BPE demonstrated strong predictive performance, calibration ability, and greater net benefits for predicting pCR in patients with BC after NAT. This suggests that the user-friendly nomogram could be a valuable imaging biomarker for identifying suitable candidates for NAT.