Human Epidermal Growth Factor Receptor 2-Low Breast Cancer Brain Metastases: An Opportunity for Targeted Systemic Therapies in a High-Need Patient Population.

PURPOSE: Trastuzumab deruxtecan is a new treatment option for patients with advanced human epidermal growth factor receptor 2 (HER2)-low breast cancer (BC). Although HER2-low status has been characterized in early and advanced BC, it has yet to be fully characterized in brain metastases (BrM). METHODS: Patients who underwent surgery for BC BrM at Sunnybrook Health Sciences Centre and for whom HER2 status was available on resected BrM were studied. Estrogen receptor, progesterone receptor, and HER2 status were assessed on the basis of ASCO/College of American Pathologists (CAP) guidelines. HER2-zero was defined as immunohistochemistry (IHC) 0; HER2-low was defined as IHC 1+ or IHC 2+ with fluorescence in situ hybridization (FISH)-negative status. HER2-positive (HER2+) was defined as IHC 3+ or IHC 2+ with positive FISH. Clinicopathologic features were recorded. We also assessed the prognostic association between extent of HER2 expression and (1) brain-specific progression-free survival (bsPFS), as well as (2) overall survival (OS). RESULTS: In this retrospective cohort of 102 patients with resected BC BrM, 53% (n = 54) were HER2+, 29.4% (n = 30) were HER2-low, and 17.6% (n = 18) had HER2-zero status. Among BrM that were triple-negative on the basis of ASCO/CAP guidelines, 63.6% (n = 14/22) were reclassified as being HER2-low. Sixty percent (n = 15/25) of BrM that were hormone receptor-positive/HER2-negative (HR+/HER2-) were reclassified as being HER2-low. In total, 51 patients had matched primary breast and BrM tissue available; results of HER2 status when categorized as HER2-zero, HER2-low, and HER2+ were concordant in 82.3% (n = 42/51) of cases (Cohen's kappa, 0.58; P = .07). There was no significant association between HER2-zero, HER2-low, and HER2+ status in BrM and either bsPFS or OS. CONCLUSION: Among patients with surgically resected BrM, a high proportion of those with metastatic triple-negative BC and HR+/HER2- disease have HER2-low BrM with potential to benefit from HER2-targeted therapy.

Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features.

PURPOSE: Neoadjuvant chemotherapy (NAC) is used to treat locally advanced breast cancer (LABC) and high-risk early breast cancer (BC). Pathological complete response (pCR) has prognostic value depending on BC subtype. Rates of pCR, however, can be variable. Predictive modeling is desirable to help identify patients early who may have suboptimal NAC response. Here, we test and compare the predictive performances of machine learning (ML) prediction models to a standard statistical model, using clinical and pathological data. METHODS: Clinical and pathological variables were collected in 431 patients, including tumor size, patient demographics, histological characteristics, molecular status, and staging information. A standard multivariable logistic regression (MLR) was developed and compared with five ML models: k-nearest neighbor classifier, random forest (RF) classifier, naive Bayes algorithm, support vector machine, and multilayer perceptron model. Model performances were measured using a receiver operating characteristic (ROC) analysis and statistically compared. RESULTS: MLR predictors of NAC response included: estrogen receptor (ER) status, human epidermal growth factor-2 (HER2) status, tumor size, and Nottingham grade. The strongest MLR predictors of pCR included HER2+ versus HER2- BC (odds ratio [OR], 0.13; 95% CI, 0.07 to 0.23; P < .001) and Nottingham grade G3 versus G1-2 (G1-2: OR, 0.36; 95% CI, 0.20 to 0.65; P < .001). The area under the curve (AUC) for the MLR was AUC = 0.64. Among the various ML models, an RF classifier performed best, with an AUC = 0.88, sensitivity of 70.7%, and specificity of 84.6%, and included the following variables: menopausal status, ER status, HER2 status, Nottingham grade, tumor size, nodal status, and presence of inflammatory BC. CONCLUSION: Modeling performances varied between standard versus ML classification methods. RF ML classifiers demonstrated the best predictive performance among all models.

Salivary gland-type mammary carcinoma arising in microglandular adenosis: A case report and clinicopathological review of the literature.

INTRODUCTION: Microglandular adenosis (MGA) is a rare benign proliferative lesion lacking a myoepithelial cell layer; 27% of all reported cases have progressed to invasive carcinoma. Salivary gland-type carcinomas of the breast are also uncommon, representing 2% of all breast cancers. This wide spectrum of neoplasms tends to be triple negative and generally has an excellent prognosis. Given the rarity of salivary gland-type carcinomas of the breast arising from MGA, there are few reports of these cases in literature. As such, there is uncertainty regarding their diagnosis and treatment strategies. PRESENTATION OF CASE: We report the rare case of a 66-year-old woman who presented with a triple negative, invasive carcinoma with salivary gland-type features, arising from MGA. The patient underwent mastectomy with sentinel lymph node biopsy, followed by Taxotere and Cyclophosphamide (TC) chemotherapy and 50 Gy in 25 fractions of radiation to her chest wall. We reviewed the available literature on salivary gland-type breast carcinomas arising from MGA. DISCUSSION: Despite the generally unfavourable characteristics associated with carcinoma arising in microglandular adenosis (MGACA), most patients with MGACA have favourable outcomes. CONCLUSIONS: The findings of the present case and reviewed cases are consistent with the literature on MGA, atypical MGA (AMGA), and MGACA. Future study of this rare entity is warranted to establish a consensus surrounding its clinical significance and treatment methods.

ASCO, NCCN, MASCC/ESMO: a comparison of antiemetic guidelines for the treatment of chemotherapy-induced nausea and vomiting in adult patients.

Chemotherapy-induced nausea and vomiting (CINV) is a common toxicity that may impair the quality of life of patients with a variety of early- and end-stage malignancies. In light of recent changes in the optimal management of CINV, we undertook this narrative review to compare the latest guidelines published by ASCO (2017), NCCN (2018), and MASCC/ESMO (2016). The processes undertaken by each organization to evaluate existing literature were also described. Although ASCO, NCCN, and MASCC/ESMO guidelines for the treatment and prevention of CINV share many fundamental similarities, literature surrounding low and minimal emetic risk regimens is lacking. Data regarding the use of complementary alternative medicine for CINV is particularly scarce and in need of further investigation.