4.6 Article

On Naevi and Melanomas: Two Sides of the Same Coin?

期刊

FRONTIERS IN MEDICINE
卷 8, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmed.2021.635316

关键词

precancer; precursor lesion; genetics and genomics; artificial intelligence; risk stratification; melanoma; naevi

资金

  1. Australian National Health and Medical Research Council (NHMRC) Centre of Research Excellence for the Study of Naevi [APP1099021]
  2. NHMRC Medical Research Future Fund Next Generation Clinical Researchers Program Practitioner Fellowship [APP1137127]
  3. National Health and Medical Research Council (NHMRC) TRIP Fellowship [APP1151021]

向作者/读者索取更多资源

Benign naevi are closely linked to melanoma, sharing genetic and environmental influences, yet they exhibit different local and systemic behavior. Research is ongoing to unravel the contributors and predictors of naevi and melanoma, in order to develop personalized prevention and treatment strategies. This involves a range of strategies including risk-adjusted counseling, lesion imaging technologies, artificial intelligence, genetics research, and understanding the interplay between genes, phenotype, and the environment.
Benign naevi are closely linked to melanoma, as risk factors, simulators, or sites of melanoma formation. There is a heavy genetic overlap between the two lesions, a shared environmental influence of ultraviolet radiation, and many similar cellular features, yet naevi remain locally situated while melanomas spread from their primary site and may progress systemically to distal organs. Untangling the overlapping contributors and predictors of naevi and melanoma is an ongoing area of research and should eventually lead to more personalized prevention and treatment strategies, through the development of melanoma risk stratification tools and early detection of evolving melanomas. This will be achieved through a range of complementary strategies: risk-adjusted primary prevention counseling; the use of lesion imaging technologies such as sequential 3D total body photography and consumer-performed lesion imaging; artificial intelligence deep phenotyping and clinical assistance; a better understanding of genetic drivers of malignancy, risk variants, clinical genetics, and polygenic effects; and the interplay between genetics, phenotype and the environment.

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