Recognition, Staging, and Management of Melanoma
- PMID: 34059243
- DOI: 10.1016/j.mcna.2021.04.005
Recognition, Staging, and Management of Melanoma
Abstract
Melanoma accounts for approximately 1% of all skin cancers but contributes to almost all skin cancer deaths. The developing picture suggests that melanoma phenotypes are driven by epigenetic mechanisms that reflect a complex interplay between genotype and environment. Furthermore, the growing consensus is that current classification standards, notwithstanding pertinent clinical history and appropriate biopsy, fall short of capturing the vast complexity of the disease. This article summarizes the current understanding of the clinical picture of melanoma, with a focus on the tremendous breakthroughs in molecular classification and therapeutics.
Keywords: Heterogeneity; Management; Melanoma; Staging; Treatment.
Copyright © 2021 Elsevier Inc. All rights reserved.
Similar articles
-
[New treatment options for metastatic melanoma].Dtsch Med Wochenschr. 2014 Jul;139(28-29):1462-7. doi: 10.1055/s-0034-1370155. Epub 2014 Jul 1. Dtsch Med Wochenschr. 2014. PMID: 24983194 Review. German. No abstract available.
-
Melanoma treatment's changing landscape.J Natl Cancer Inst. 2014 Jun 6;106(6):dju176. doi: 10.1093/jnci/dju176. Print 2014 Jun. J Natl Cancer Inst. 2014. PMID: 24907389 No abstract available.
-
BRAF, NRAS and C-KIT Advanced Melanoma: Clinico-pathological Features, Targeted-Therapy Strategies and Survival.Anticancer Res. 2017 Dec;37(12):7043-7048. doi: 10.21873/anticanres.12175. Anticancer Res. 2017. PMID: 29187493
-
Cells to Surgery Quiz: October 2015.J Invest Dermatol. 2015 Oct;135(10):e18. doi: 10.1038/jid.2015.310. J Invest Dermatol. 2015. PMID: 26358388 No abstract available.
-
[Genetic diversity and immunological characteristics of malignant melanoma: the therapeutic spectrum].Orv Hetil. 2015 Apr;156(15):583-91. doi: 10.1556/OH.2015.30122. Orv Hetil. 2015. PMID: 25845317 Review. Hungarian.
Cited by
-
Bulk and single-cell RNA-sequencing analyses along with abundant machine learning methods identify a novel monocyte signature in SKCM.Front Immunol. 2023 May 25;14:1094042. doi: 10.3389/fimmu.2023.1094042. eCollection 2023. Front Immunol. 2023. PMID: 37304304 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
Research Materials
Miscellaneous
