The potential diagnostic and predictive role of anaplastic lymphoma kinase (ALK) gene alterations in melanocytic tumors.


Journal

European review for medical and pharmacological sciences
ISSN: 2284-0729
Titre abrégé: Eur Rev Med Pharmacol Sci
Pays: Italy
ID NLM: 9717360

Informations de publication

Date de publication:
04 2020
Historique:
entrez: 25 4 2020
pubmed: 25 4 2020
medline: 30 3 2021
Statut: ppublish

Résumé

Anaplastic lymphoma kinase (ALK) gene has been demonstrated to be rearranged, mutated or amplified in several haematological and solid tumors. Moreover, the use of ALK inhibitors has recently revolutionized the treatment of ALK-rearranged patients affected by non-small cell lung carcinoma. Herein we review the genetic alterations of ALK in melanocytic neoplasms described in literature, focusing on their potential diagnostic and predictive role. The Authors reviewed the pertinent literature through research on PubMed server was performed typing the terms "ALK", "Anaplastic lymphoma kinase", "ALKATI", "Melanoma", "Spitz", "Spitzoid". ALK translocations were demonstrated in melanocytic neoplasms, particularly in acral melanoma and spitzoid tumors. ALKATI was described in primary and metastatic melanoma, indicating its early occurrence in oncogenesis, with varying immunohistochemical expression of the protein. The identification of the specific type of ALK mutations could be interesting for planning biologic therapy of melanoma patients. Further studies are needed to evaluate the possibility to introduce an ALK-targeted therapy in patients affected by malignant melanoma.

Identifiants

pubmed: 32329859
doi: 10.26355/eurrev_202004_20849
pii:
doi:

Substances chimiques

ALK protein, human EC 2.7.10.1
Anaplastic Lymphoma Kinase EC 2.7.10.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3829-3838

Auteurs

A Ronchi (A)

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "L. Vanvitelli", Naples, Italy. renato.franco@unicampania.it.

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Classifications MeSH