Herein, we report a rare case of malignant melanoma metastasis to the mammary gland. A 76-year-old woman had a tumor resection performed for primary malignant melanoma of the epipharynx. The patient subsequently underwent local and lymph node recurrence, for which she received heavy ion radiotherapy and lymph node dissection, respectively. The patient was referred to our hospital for a problem with her right breast. Computed tomography and magnetic resonance imaging showed a mammary tumor and multiple subcutaneous tumors. A biopsy was performed, which proved positive for S100 and Melan A staining, and the diagnosis of malignant melanoma was confirmed. Partial mastectomy was performed; and S100, HMB45, and Melan A positivity was confirmed based on immunohistological findings. The diagnosis was malignant melanoma metastasis to the mammary gland. Malignant melanoma commonly metastasizes to the liver, mediastinum, mediastinal glands, lung, and brain; and metastasis to the mammary gland is rare. To our knowledge, only 2 cases have previously been reported in the Japanese literature.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Skin cancer risk in over 200.000 patients with haematologic malignancies in 30 years; a nationwide population-based study in the Netherlands.
Br J Dermatol
January 2025
Department of Dermatology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands.
Background: Patients with haematologic malignancies are at increased risk of developing skin cancer and often experience worse skin cancer-related outcomes. However, there is a lack of nationwide, population-based data with long-term follow-up on the incidence and risks of different skin cancer types across all haematologic malignancies.
Objectives: To assess population-based risk estimates for cutaneous squamous cell carcinoma (CSCC), malignant melanoma (MM), Merkel cell carcinoma (MCC), and basal cell carcinoma (BCC) among patients with haematologic malignancies, stratified by skin cancer type and haematologic malignancy subgroup.
Risk score stratification of cutaneous melanoma patients based on whole slide images analysis by deep learning.
J Eur Acad Dermatol Venereol
January 2025
Pathology Department, IHP Group, Nantes, France.
Background: There is a need to improve risk stratification of primary cutaneous melanomas to better guide adjuvant therapy. Taking into account that haematoxylin and eosin (HE)-stained tumour tissue contains a huge amount of clinically unexploited morphological informations, we developed a weakly-supervised deep-learning approach, SmartProg-MEL, to predict survival outcomes in stages I to III melanoma patients from HE-stained whole slide image (WSI).
Methods: We designed a deep neural network that extracts morphological features from WSI to predict 5-y overall survival (OS), and assign a survival risk score to each patient.
RETRACTION: The Role of PKP1 in Tumor Progression in Melanoma: Analysis of a Cell Adhesion-Related Model.
Environ Toxicol
January 2025
C. Yue, W. Lian, Z.
View Article and Find Full Text PDFSMARCB1-deficient malignant melanocytic uveal tumours: a new neural crest-derived tumour entity with SMARCB1-related germline predisposition.
J Pathol
January 2025
SIREDO Oncology Center (Care, Innovation and Research for Children and AYA with Cancer), Institut Curie, Université Paris Cité, Paris, France.
Rhabdoid tumours (RT) are an aggressive malignancy affecting <2-year-old infants, characterised by biallelic loss-of-function alterations in SWI/SNF-related BAF chromatin remodelling complex subunit B1 (SMARCB1) in nearly all cases. Germline SMARCB1 alterations are found in ~30% of patients and define the RT Predisposition Syndrome type 1 (RTPS1). Uveal melanoma (UVM), the most common primary intraocular cancer in adults, does not harbour SMARCB1 alterations.
View Article and Find Full Text PDFThe impact of imprecise case definitions in electronic health record research: a melanoma case-study from the Million Veteran Program.
Arch Dermatol Res
January 2025
VA Boston Healthcare System, Boston, MA, USA.
Cases for a disease can be defined broadly using diagnostic codes, or narrowly using gold-standard confirmation that often is not available in large administrative datasets. These different definitions can have significant impacts on the results and conclusions of studies. We conducted this study to assess how using melanoma phecodes versus histologic confirmation for invasive or in situ melanoma impacts the results of a genome-wide association study (GWAS) using the Million Veteran Program.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!