P040. Comparison of histological characteristics between metastatic and non-metastatic melanomas

Urbanček, Slavomír; Cernohorska, M.; Tomková, Jana; Menšíková, Jana; Mazalova, D.

doi:10.1097/01.cmr.0000399501.02377.1b

Cited by 1 publication

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“…Moreover, it is well recognized that due to considerable morphologic heterogeneity, the lack of clear-cut features of malignancy and interobserver disagreements, the diagnosis of skin cancers can sometimes be complicated by the pathologic assessment of a biopsy. A 7-year single-center analysis showed that from a total of 936 histologically confirmed melanomas, 16% were misdiagnosed, of which 46.7% were pigmented nevus, 21.3% were BCCs, 10.7% were unspecified tumors, 6% were dysplastic nevus and 3.3% were cSCC [9]. Similarly, histopathology assessment fails to correctly identify around 30% of primary cSCC tumors with no defining histological features that may carry the risk of progression to regional lymph nodes or distant body organs, while 75% of the lesions identified with a risk of metastasis do not develop metastasis [10].…”

Section: Introductionmentioning

confidence: 99%

Molecular Classifiers in Skin Cancers: Challenges and Promises

Azimi,

Fernandez-Peñas

2023

Cancers

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Skin cancers are common and heterogenous malignancies affecting up to two in three Australians before age 70. Despite recent developments in diagnosis and therapeutic strategies, the mortality rate and costs associated with managing patients with skin cancers remain high. The lack of well-defined clinical and histopathological features makes their diagnosis and classification difficult in some cases and the prognostication difficult in most skin cancers. Recent advancements in large-scale “omics” studies, including genomics, transcriptomics, proteomics, metabolomics and imaging-omics, have provided invaluable information about the molecular and visual landscape of skin cancers. On many occasions, it has refined tumor classification and has improved prognostication and therapeutic stratification, leading to improved patient outcomes. Therefore, this paper reviews the recent advancements in omics approaches and appraises their limitations and potential for better classification and stratification of skin cancers.

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Section: Introductionmentioning

confidence: 99%