Non-mammary metastases to the breast and axilla are rare occurrences. However, they are important diagnostic considerations as their treatment and prognosis differ significantly from primary breast cancer. Between 1990 and 2010, we identified a total of 85 patients, 72 women and 13 men, with non-mammary malignancies involving the breast, axilla, or both. The tumor types consisted of carcinoma (58%), melanoma (22%) and sarcoma (20%). Ovary was the most common site of origin for carcinoma, and metastatic high-grade ovarian serous carcinoma was most frequently misdiagnosed as a primary breast carcinoma. Melanoma was the single most common non-carcinomatous tumor type to involve the breast and/or axilla, and uterine leiomyosarcoma was the most common type of sarcoma. Most patients (77%) had other metastases at the time of diagnosis of the tumor, but in 11% the breast or axillary lesion was the first presentation. Without a clinical history, non-mammary metastases were difficult to diagnose because the majority of cases presented with a solitary nodule and lacked pathognomonic pathologic features. There were, however, certain recurrent histological findings identified, such as the often relatively well-circumscribed growth pattern of the metastatic lesion surrounded by a fibrous pseudocapsule, and the absence of an in situ carcinoma. Overall, these patients had poor survival; 96% of patients with follow-up available are dead of disease, with a median survival of 15 months after the diagnosis of the breast or axillary lesion. This finding emphasizes the need to accurately identify these tumors as metastases in order to avoid unnecessary procedures and treatments in these patients. Keywords: axilla; breast; extramammary Metastases to the breast and axilla are rare and account for approximately 2% of all mammary malignancies. 1,2 The most common metastatic lesion to involve the breast is a metastasis from a contralateral mammary cancer. 1,2 If hematologic malignancies are also excluded, the number of non-mammary metastases drops to well below 1%. 1,3 Owing to the frequency of primary breast cancers and the rarity of non-mammary tumors involving the breast, a newly discovered lesion in the breast or axilla is usually presumed to be a primary or metastatic breast carcinoma. However, the recognition of non-mammary metastases to the breast and axilla is very important, as both the treatment and prognosis differ significantly. Materials and methodsAfter obtaining approval by our Institutional Review Board, we searched the pathology database of Memorial Sloan-Kettering Cancer Center between the years 1990-2010 for patients with non-mammary metastases to the breast and axilla. Hematologic malignancies were excluded, as they are systemic diseases. The medical records and pathology slides, when available, were reviewed and the clinicopathologic characteristics were recorded. Patient age, gender, primary tumor site, the presence of other metastases, laterality, number of lesions, interval from primary tumor diagnosis to breast/ a...
Diagnosing the site of origin for cancer is a pillar of disease classification that has directed clinical care for more than a century. Even in an era of precision oncologic practice, in which treatment is increasingly informed by the presence or absence of mutant genes responsible for cancer growth and progression, tumor origin remains a critical factor in tumor biologic characteristics and therapeutic sensitivity. OBJECTIVE To evaluate whether data derived from routine clinical DNA sequencing of tumors could complement conventional approaches to enable improved diagnostic accuracy. DESIGN, SETTING, AND PARTICIPANTS A machine learning approach was developed to predict tumor type from targeted panel DNA sequence data obtained at the point of care, incorporating both discrete molecular alterations and inferred features such as mutational signatures. This algorithm was trained on 7791 tumors representing 22 cancer types selected from a prospectively sequenced cohort of patients with advanced cancer. RESULTS The correct tumor type was predicted for 5748 of the 7791 patients (73.8%) in the training set as well as 8623 of 11 644 patients (74.1%) in an independent cohort. Predictions were assigned probabilities that reflected empirical accuracy, with 3388 cases (43.5%) representing high-confidence predictions (>95% probability). Informative molecular features and feature categories varied widely by tumor type. Genomic analysis of plasma cell-free DNA yielded accurate predictions in 45 of 60 cases (75.0%), suggesting that this approach may be applied in diverse clinical settings including as an adjunct to cancer screening. Likely tissues of origin were predicted from targeted tumor sequencing in 95 of 141 patients (67.4%) with cancers of unknown primary site. Applying this method prospectively to patients under active care enabled genome-directed reassessment of diagnosis in 2 patients initially presumed to have metastatic breast cancer, leading to the selection of more appropriate treatments, which elicited clinical responses. CONCLUSIONS AND RELEVANCE These results suggest that the application of artificial intelligence to predict tissue of origin in oncologic practice can act as a useful complement to conventional histologic review to provide integrated pathologic diagnoses, often with important therapeutic implications.
The occurrence of benign epithelial inclusions in lymph nodes is well documented and can sometimes mimic metastatic carcinoma. Benign müllerian inclusions, such as endometriosis and endosalpingiosis, are common in pelvic and para-aortic lymph nodes, but their presence in supradiaphragmatic lymph nodes is a rare event. We report our experience with 3 patients found to have endosalpingiosis in axillary sentinel lymph nodes obtained for staging of breast carcinoma. All patients were postmenopausal women, with age ranging between 65 and 75 years. Endosalpingiosis involved a single lymph node in 1 patient, and 2 nodes in each of the other 2; it was present in the lymph node capsule in all the 3 cases, with few glands scattered within the lymph node parenchyma in 2 of the patients. The glands contained ciliated and intercalated peg cells, had no periglandular endometrial-type stroma, and showed no atypia or mitotic activity. The epithelium demonstrated positive nuclear immunoreactivity for WT1 and PAX8, and was devoid of myoepithelium or basement membrane. Endosalpingiosis had been misinterpreted as metastatic carcinoma at another hospital in 1 of the 3 patients, with subsequent dissection of 19 additional benign axillary lymph nodes. We conclude that endosalpingiosis can involve axillary lymph nodes and closely simulate metastatic mammary carcinoma. Morphologic identification of ciliated cells and "peg" cells is most helpful to recognize this benign inclusion, and positive immunoreactivity for WT1 and/or PAX8 can be used to support the diagnosis.
Background The clinical implications of the diagnosis of atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS) are very different. Yet there are “borderline” breast lesions that have characteristics of both ADH and DCIS. We examined interobserver diagnostic variability for such lesions and correlated pathologic features of the lesions with clinical outcomes. Methods We identified all cases of borderline ADH/DCIS lesions treated at our center from 1997 to 2010. Five specialized breast pathologists blinded to clinical outcomes independently reviewed all available slides from each case and were instructed to classify each as benign, ADH, or DCIS. A majority diagnosis (MajDx) was defined as a diagnosis agreed upon by ≥3 pathologists. Results A total of 105 women with borderline ADH/DCIS and slides available for review were identified. The MajDx was ADH in 84 (80%), and DCIS in 18 (17%). There were split diagnoses in 3 (3%). MajDx of DCIS correlated significantly with lesion size and nuclear grade. There was diagnostic agreement by all 5 pathologists in 30% of cases, 4 pathologists in 42%, and 3 pathologists in 25%. At a median follow-up of 37 months, 4 (3.8%) patients developed subsequent ipsilateral breast carcinoma (2 invasive, 2 DCIS); all 4 cases had MajDx of ADH. Conclusions Borderline ADH/DCIS represents an entity for which reproducible categorization as ADH or DCIS cannot be achieved. Furthermore, histologic features of borderline lesions resulting in MajDx of ADH vs. DCIS are not prognostic for risk of subsequent breast carcinoma.
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