Complete spontaneous regression of multiple melanocytic nevi after melanoma is an extremely rare phenomenon. We report 3 cases of patients with a history of melanoma that showed regression of almost all melanocytic nevi over time. One of the patients had 2 simultaneous primary cutaneous melanomas without metastasis. In the other 2 patients, regression of the melanocytic nevi was seen after the development of metastasis in lymph nodes. These patients had spontaneously developed an efficient immune response against melanocytes, and they would represent paradigmatic examples of the spontaneous immune responses in melanoma patients. Better understanding of the mechanisms involved in the complete regression of melanocytic lesions would lead to a better selection of melanoma patients for immunotherapy.
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http://dx.doi.org/10.1097/DAD.0000000000000033 | DOI Listing |
Cureus
January 2025
College of Dentistry, King Saud University, Riyadh, SAU.
Oral melanocytic nevi (OMN) are rare benign tumors originating from melanocytes with an unclear pathogenesis. The current theory suggests that OMN originate from dormant dendritic melanocytes that become enclosed in the dermis during the embryonic migration of melanoblasts - the precursors of melanocytes - from the neural crest to the epidermis. OMN can be congenital or acquired, with acquired nevi being more common.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Soft-Tissue, Peritoneum and Melanoma Surgical Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy.
Diagnosis of nevoid melanoma (NeM) is often difficult because NeM closely resembles a common nevus clinically and histologically. A retrospective study was conducted on 110 patients diagnosed with and/or treated for primary nevoid melanoma at the Veneto Institute of Oncology and at the University Hospital of Padua from August 1999. Mean Breslow thickness was of 1.
View Article and Find Full Text PDFCancers (Basel)
December 2024
65+ Outpatient Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.
: Melanoma, an aggressive form of skin cancer, accounts for a significant proportion of skin-cancer-related deaths worldwide. Early and accurate differentiation between melanoma and benign melanocytic nevi is critical for improving survival rates but remains challenging because of diagnostic variability. Convolutional neural networks (CNNs) have shown promise in automating melanoma detection with accuracy comparable to expert dermatologists.
View Article and Find Full Text PDFSci Rep
January 2025
Laboratory of Veterinary Embryology and Biotechnology (VETEMBIO), Veterinary Medical Center and College of Veterinary Medicine, Chungbuk National University, Cheongju, Republic of Korea.
Mod Pathol
January 2025
Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL. Electronic address:
Deep penetrating nevi (DPNs) are characterized by activating mutations in the MAP kinase and Wnt/beta-catenin pathways that result in large melanocytes with increased nuclear atypia, cytoplasmic pigmentation, and often mitotic activity. Together with a lack of maturation, this constellation of findings creates challenges for pathologists to distinguish deep penetrating nevus (DPN) from DPN-like melanoma. To assess the utility of next generation sequencing (NGS) in resolving this diagnostic dilemma, we performed NGS studies on 35 lesions including 24 DPNs and 11 DPN-like melanomas to characterize the specific genomic differences between the two groups and elucidate the genetic events involved in malignant transformation of DPNs.
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