» Articles » PMID: 21497295

Copy Number Gains in 11q13 and 8q24 [corrected] Are Highly Linked to Prognosis in Cutaneous Malignant Melanoma

Overview
Journal J Mol Diagn
Publisher Elsevier
Date 2011 Apr 19
PMID 21497295
Citations 14
Authors
Affiliations
Soon will be listed here.
Abstract

Relating specific genetic alterations to prognosis may help improve prognostication in melanoma, may identify key oncogenic drivers in cancer, and may assist in developing targeted therapies. Characteristic genetic alterations in melanoma include chromosomal copy number aberrations. We evaluated 97 melanomas (55 metastasizing and 42 nonmetastasizing) after a minimum 5-year follow-up in a case-control study using fluorescence in situ hybridization, targeting commonly altered chromosomal loci in melanoma. Eight probes arranged in two panels were used, and 11 parameters were evaluated. Parameters showing a statistically significant difference between the metastasizing and nonmetastasizing groups were evaluated with multivariate logistic regression analysis to compare their prognostic potential with other traditional prognostic markers used by the American Joint Committee on Cancer. Four of 11 parameters evaluated, including CCND1 (alias Bcl-1) gain, CCND1 r-gain, MYC (alias c-myc) gain, and MYC r-gain, had a statistically significant difference in the metastasizing versus nonmetastasizing group. All four parameters maintained statistical significance when evaluated in separate multivariate logistic regression analyses that included the seven currently used American Joint Commission on Cancer prognosticators in melanoma. In multivariate analyses, these four parameters were second only to ulceration in their prognostic potential. Copy number changes at 11q13 and 8q24 [corrected] harboring CCND1 and MYC, respectively, are highly associated with prognosis. Fluorescence in situ hybridization targeting these loci may be a useful standardized prognostic marker in melanoma skin cancer.

Citing Articles

Polyunsaturated fatty acid biosynthesis pathway and genetics. implications for interindividual variability in prothrombotic, inflammatory conditions such as COVID-19.

Kothapalli K, Park H, Brenna J Prostaglandins Leukot Essent Fatty Acids. 2020; 162:102183.

PMID: 33038834 PMC: 7527828. DOI: 10.1016/j.plefa.2020.102183.


Survival between synchronous and non-synchronous multiple primary cutaneous melanomas-a SEER database analysis.

Xiong J, Su Y, Bing Z, Zhao B PeerJ. 2020; 8:e8316.

PMID: 31915586 PMC: 6944097. DOI: 10.7717/peerj.8316.


Predicting the outcome of melanoma: can we tell the future of a patient's melanoma?.

Yelamos O, Gerami P Melanoma Manag. 2018; 2(3):217-224.

PMID: 30190851 PMC: 6094684. DOI: 10.2217/mmt.15.15.


Biomarkers in melanoma: where are we now?.

Johnson D, Sullivan R Melanoma Manag. 2018; 1(2):139-150.

PMID: 30190819 PMC: 6094630. DOI: 10.2217/mmt.14.19.


AMPK promotes survival of c-Myc-positive melanoma cells by suppressing oxidative stress.

Kfoury A, Armaro M, Collodet C, Sordet-Dessimoz J, Giner M, Christen S EMBO J. 2018; 37(5).

PMID: 29440228 PMC: 5830923. DOI: 10.15252/embj.201797673.


References
1.
Lutzky J, Bauer J, Bastian B . Dose-dependent, complete response to imatinib of a metastatic mucosal melanoma with a K642E KIT mutation. Pigment Cell Melanoma Res. 2008; 21(4):492-3. DOI: 10.1111/j.1755-148X.2008.00475.x. View

2.
Gerami P, Guitart J, Martini M, Wayne J, Kuzel T . Cyclin D1 homogeneous staining regions by fluorescent in situ hybridization: a possible indicator of aggressive behavior in melanomas. Arch Dermatol. 2008; 144(9):1235-6. DOI: 10.1001/archderm.144.9.1235-b. View

3.
Pleasance E, Cheetham R, Stephens P, McBride D, Humphray S, Greenman C . A comprehensive catalogue of somatic mutations from a human cancer genome. Nature. 2009; 463(7278):191-6. PMC: 3145108. DOI: 10.1038/nature08658. View

4.
Tovey S, Brown S, Doughty J, Mallon E, Cooke T, Edwards J . Poor survival outcomes in HER2-positive breast cancer patients with low-grade, node-negative tumours. Br J Cancer. 2009; 100(5):680-3. PMC: 2653773. DOI: 10.1038/sj.bjc.6604940. View

5.
Dahabreh I, Linardou H, Siannis F, Kosmidis P, Bafaloukos D, Murray S . Somatic EGFR mutation and gene copy gain as predictive biomarkers for response to tyrosine kinase inhibitors in non-small cell lung cancer. Clin Cancer Res. 2009; 16(1):291-303. DOI: 10.1158/1078-0432.CCR-09-1660. View