High-risk Melanoma Susceptibility Genes and Pancreatic Cancer, Neural System Tumors, and Uveal Melanoma across GenoMEL
Open accessAbstract
GenoMEL, comprising major familial melanoma research groups from North America, Europe, Asia, and Australia has created the largest familial melanoma sample yet available to characterize mutations in the high-risk melanoma susceptibility genes CDKN2A/alternate reading frames (ARF), which encodes p16 and p14ARF, and CDK4 and to evaluate their relationship with pancreatic cancer (PC), neural system tumors (NST), and uveal melanoma (UM). This study included 466 families (2,137 patients) with at least three melanoma patients from 17 GenoMEL centers. Overall, 41% (n = 190) of families had mutations; most involved p16 (n = 178). Mutations in CDK4 (n = 5) and ARF (n = 7) occurred at similar frequencies (2-3%). There were striking differences in mutations across geographic locales. The proportion of families with the most frequent founder mutation(s) of each locale differed significantly across the seven regions (P = 0.0009). Single founder CDKN2A mutations were predominant in Sweden (p.R112_L113insR, 92% of family's mutations) and the Netherlands (c.225_243del19, 90% of family's mutations). France, Spain, and Italy had the same most frequent mutation (p.G101W). Similarly, Australia and United Kingdom had the same most common mutations (p.M53I, c.IVS2-105A>G, p.R24P, and p.L32P). As reported previously, there was a strong association between PC and CDKN2A mutations (P < 0.0001). This relationship differed by mutation. In contrast, there was little evidence for an association between CDKN2A mutations and NST (P = 0.52) or UM (P = 0.25). There was a marginally significant association between NST and ARF (P = 0.05). However, this particular evaluation had low power and requires confirmation. This GenoMEL study provides the most extensive characterization of mutations in high-risk melanoma susceptibility genes in families with three or more melanoma patients yet available. (Cancer Res 2006; 66(20): 9818-28)
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CDKN2A mutations were significantly associated with increased pancreatic cancer prevalence in families.
“CDKN2A mutations were significantly associated with increased pancreatic cancer prevalence in families [47].”
From Significance of TP53, CDKN2A, SMAD4 and KRAS in Pancreatic Cancer (2024) · cites this paper as [47]
Cites
A new regulatory motif in cell-cycle control causing specific inhibition of cyclin D/CDK4.
Serrano, M., Hannon, G. J., & Beach, D. (1993) · Nature · doi:10.1038/366704a0 · Cited by 3,650 · see citing works
Pomerantz, J., Schreiber-Agus, N., Liégeois, N. J., Silverman, A., Alland, L., Chin, L., Potes, J., Chen, K., Orlow, I., Lee, H.-W., et al. (1998) · Cell · doi:10.1016/s0092-8674(00)81400-2 · Cited by 1,521 · see citing works
Germline mutations in the p16INK4a binding domain of CDK4 in familial melanoma
Zuo, L., Weger, J., Yang, Q., Goldstein, A. M., Tucker, M. A., Walker, G. J., Hayward, N., & Dracopoli, N. C. (1996) · Nature Genetics · doi:10.1038/ng0196-97 · Cited by 818 · see citing works
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A Kinase-Independent Function of CDK6 Links the Cell Cycle to Tumor Angiogenesis
Kollmann, K., Heller, G., Schneckenleithner, C., Warsch, W., Scheicher, R., Ott, R. G., Schäfer, M., Fajmann, S., Schlederer, M., Schiefer, A.-I., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.07.012 · Cited by 313 · see citing works
The p16INK4A tumor suppressor regulates cellular oxidative stress
Jenkins, N. C., Liu, T., Cassidy, P., Leachman, S. A., Boucher, K. M., Goodson, A. G., Samadashwily, G., & Grossman, D. (2011) · Oncogene · doi:10.1038/onc.2010.419 · Cited by 138 · see citing works
Self-citationGenome-wide association studies of pigmentation and skin cancer: a review and meta-analysis
Gerstenblith, M. R., Shi, J., & Landi, M. T. (2010) · Pigment Cell & Melanoma Research · doi:10.1111/j.1755-148x.2010.00730.x · Cited by 128 · see citing works
Self-citationSignificance of TP53, CDKN2A, SMAD4 and KRAS in Pancreatic Cancer
Stefanoudakis, D., Frountzas, M., Schizas, D., Michalopoulos, N. V., Drakaki, A., & Toutouzas, K. G. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb46040177 · Cited by 110 · see citing works
Chen, Z., Guo, Y., Zhao, D., Zou, Q., Yu, F., Zhang, L., & Xu, L. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.808208 · Cited by 87 · see citing works
The genetics of melanoma: recent advances
Hill, V. K., Gartner, J. J., Samuels, Y., & Goldstein, A. M. (2013) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-091212-153429 · Cited by 86 · see citing works
Self-citationThe relative contributions of the p53 and pRb pathways in oncogene-induced melanocyte senescence
Haferkamp, S., Tran, S. L., Becker, T. M., Scurr, L. L., Kefford, R. F., & Rizos, H. (2009) · Aging · doi:10.18632/aging.100051 · Cited by 77 · see citing works
Self-citationRisk of non-melanoma cancers in first-degree relatives of CDKN2A mutation carriers
Mukherjee, B., DeLancey, J. O., Raskin, L., Everett, J., Jeter, J., Begg, C. B., Orlow, I., Berwick, M., Armstrong, B. K., Kricker, A., et al. (2012) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs221 · Cited by 42 · see citing works
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- Authors
- Goldstein, A. M., Chan, M., Harland, M., Gillanders, E. M., Hayward, N. K., Avril, M.-F., Azizi, E., Bianchi-Scarra, G., Bishop, D. T., Bressac-de Paillerets, B., Bruno, W., Calista, D., Cannon Albright, L. A., Demenais, F., Elder, D. E., Ghiorzo, P., Gruis, N. A., Hansson, J., Hogg, D., Holland, E. A., Kanetsky, P. A., Kefford, R. F., Landi, M. T., Lang, J., Leachman, S. A., MacKie, R. M., Magnusson, V., Mann, G. J., Niendorf, K., Newton Bishop, J., Palmer, J. M., Puig, S., Puig-Butille, J. A., de Snoo, F. A., Stark, M., Tsao, H., Tucker, M. A., Whitaker, L., Yakobson, E., The Lund Melanoma Study Group, & the Melanoma Genetics Consortium (GenoMEL)
- Affiliations
- United States Department of Health and Human Services (US)
- Cancer Research UK (GB)
- National Institutes of Health (US)
- QIMR Berghofer Medical Research Institute (AU)
- 8Service de Dermatologie, Institut Gustave Roussy, Villejuif, France;
- Tel Aviv University (IL)
- 12Department of Oncology, Biology, and Genetics, University of Genova, Genova, Italy;
- 7Service de Génétique and
- University of Genoa (IT)
- Ospedale “M. Bufalini” di Cesena (IT)
- 14Department of Medical Informatics and
- 9Institut National de la Sante et de la Recherche Medicale-U794, Université d'Evry, Evry, France;
- University of Pennsylvania (US)
- Leiden University (NL)
- Karolinska University Hospital (SE)
- University of Toronto (CA)
- The University of Sydney (AU)
- University of Glasgow (GB)
- University of Utah (US)
- Harvard University (US)
- 3Genetic Epidemiology Division, Cancer Research UK Clinical Centre, Leeds, United Kingdom;
- Universitat de Barcelona (ES)
- 25Genetics Service, Melanoma Unit, Hospital Clínic, Institut de Investigació Biomèdica August Pi Suñe, Universitat de Barcelona, Barcelona, Spain;
- 19Center for Human and Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands;
- ORCID
- Goldstein, Alisa M.
- Chan, May
- Harland, Mark
- Gillanders, Elizabeth M.
- Hayward, Nicholas K.
- Azizi, Esther
- Bishop, D. Timothy
- Bruno, William
- Elder, David E.
- Ghiorzo, Paola
- Gruis, Nelleke A.
- Hogg, David
- Holland, Elizabeth A.
- Kanetsky, Peter A.
- Kefford, Richard F.
- Landi, Maria Teresa
- Leachman, Sancy A.
- Mann, Graham J.
- Niendorf, Kristin
- Palmer, Jane M.
- Puig, Susana
- Stark, Mitchell
- Tsao, Hensin
- Tucker, Margaret A.
- Venue
- Cancer Research
- Published
- 2006-10-15
- Volume
- 66
- Issue
- 20
- Pages
- 9818-9828
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2087791044
- Cited by
- 426
- References
- 3
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 12 · 2023: 11 · 2022: 19 · 2021: 20 · 2020: 24 · 2019: 9 · 2018: 22 · 2017: 19 · 2016: 33 · 2015: 21 · 2014: 32 · 2013: 20 · 2012: 24
- FWCI
- 14.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion, other-oa)
- Lund University Publications (Lund University) (submittedVersion)
- Open Research Online (The Open University) (submittedVersion)
- Funders
- Melanoma Research Alliance
- Utah Department of Health
- University of Utah
- Huntsman Cancer Foundation
- Huntsman Cancer Institute
- Cancer Research UK
- Australian Cancer Research Foundation
- University of Sydney
- Cancerfonden
- Consejo Nacional de Ciencia y Tecnología (152256/158706)
- Università degli Studi di Padova
- Vetenskapsrådet
- National Institutes of Health (n01pc35141-21-0-1)
- Medical Research Council
- National Health and Medical Research Council
- National Cancer Institute (R01 CA 88363, N01 PC 35141, 1 R01 CA83115-01A2, CA83115, R01CA088363, R01CA083115, R01CA102422)
- Topics
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
- Keywords
- familial melanoma, CDKN2A mutation, CDK4, p16, p14ARF, pancreatic cancer, uveal melanoma, founder mutation, hereditary cancer predisposition
- MeSH terms
- Adult, Age Factors, Amino Acid Sequence, Animals, Humans, Melanoma, Middle Aged, Molecular Sequence Data, Neoplasms, Nerve Tissue, Pancreatic Neoplasms, Skin Neoplasms, Uveal Neoplasms, Sequence Alignment, Sequence Homology, Amino Acid, Genes, p16, Genetic Predisposition to Disease, Mutation, Missense
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