Background: Patients with invasive melanoma are at increased risk of developing subsequent invasive melanoma, but the risks for those with primary in situ melanoma are unclear.
Objectives: To assess and compare the cumulative risk of subsequent invasive melanoma after primary invasive or in situ melanoma. To estimate the standardized incidence ratio (SIR) of subsequent invasive melanoma compared to population incidence in both cohorts.
Methods: Patients with a first diagnosis of melanoma (invasive or in situ) between 2001 and 2017 were identified from the New Zealand national cancer registry, and any subsequent invasive melanoma during follow-up to the end of 2017 identified. Cumulative risk of subsequent invasive melanoma was estimated by Kaplan-Meier analysis separately for primary invasive and in situ cohorts. Risk of subsequent invasive melanoma was assessed using Cox proportional hazard models. SIR was assessed, allowing for age, sex, ethnicity, year of diagnosis and follow up time.
Results: Among 33 284 primary invasive and 27 978 primary in situ melanoma patients, median follow up time was 5.5 and 5.7 years, respectively. A subsequent invasive melanoma developed in 1777 (5%) of the invasive and 1469 (5%) of the in situ cohort, with the same median interval (2.5 years) from initial to first subsequent lesion in both cohorts. The cumulative incidence of subsequent invasive melanoma at 5 years was similar in the two cohorts (invasive 4.2%, in situ 3.8%); the cumulative incidence increased linearly over time in both cohorts. The risk of subsequent invasive melanoma was marginally higher for primary invasive compared to in situ melanoma after adjustment for age, sex, ethnicity and body site of the initial lesion (hazard ratio 1.11, 95% CI 1.02-1.21). Compared to population incidence, the SIR of invasive melanoma was 4.6 (95% CI 4.3-4.9) for the primary invasive and 4 (95% CI 3.7-4.2) for the primary in situ melanoma cohorts.
Conclusions: The risk of subsequent invasive melanoma is similar whether patients present with in situ or invasive melanoma. Thus follow-up surveillance for new lesions should be similar, although patients with invasive melanoma require more surveillance for recurrence.
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http://dx.doi.org/10.1002/ski2.116 | DOI Listing |
Int Immunopharmacol
January 2025
Department of Dermatology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu 210029, China. Electronic address:
Breslow thickness (BT), a parameter measuring the depth of invasion of abnormally proliferating melanocytes, is a key indicator of melanoma severity and prognosis. However, the mechanisms underlying the increase in BT remain elusive. Utilizing data from The Cancer Genome Atlas (TCGA) human skin cutaneous melanoma (SKCM), we identified a set of BT-related molecules and analyzed their expression and genomic heterogeneity across pan-cancerous and normal tissues.
View Article and Find Full Text PDFActa Pharm Sin B
December 2024
Department of Ophthalmology, the First Affiliated Hospital with Nanjing Medical University, Nanjing 210029, China.
Uveal melanoma (UM) poses a significant lethality, with approximately 50% of those developing metastases surviving less than one year. In the progression of UM, vasculogenic mimicry (VM) induced by hypoxia plays a pivotal role, which also partially explains the resistance of UM to anti-angiogenic therapies. Nevertheless, the crucial molecular mechanisms underlying VM in the progression of UM remain unclear.
View Article and Find Full Text PDFBMJ Open
December 2024
Wiser Healthcare Research Collaboration, Sydney, New South Wales, Australia
Introduction: A diagnosis of melanoma in situ presents negligible risk to a person's lifespan or physical well-being, but existing terminology makes it difficult for patients to distinguish these from higher risk invasive melanomas. This study aims to explore whether using an alternative label for melanoma in situ may influence patients' management choices and anxiety levels.
Methods And Analysis: This study is a between-subjects randomised online experiment, using hypothetical scenarios.
BMC Cancer
January 2025
Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran.
Background: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. Dermoscopy, a non-invasive imaging technique, aids in melanoma detection but can be limited by subjective interpretation. Recently, machine learning and deep learning techniques have shown promise in enhancing diagnostic precision by automating the analysis of dermoscopy images.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Pulmonary metastasis represents one of the most prevalent forms of metastasis in advanced melanoma, with mortality rates reaching 70%. Current treatments including chemotherapy, targeted therapy, and immunotherapy frequently exhibit limited efficacy or present high costs. To address these clinical needs, this study presents a biomimetic drug delivery system (Ce6-pTP-CsA) utilizing cryoshocked adipocytes (CsA) encapsulating the prodrug triptolide palmitate (pTP) and the photosensitizer Ce6, exploiting the characteristic of tumor cells to recruit and lipolyze adipocytes for energy.
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