Abstract
Melanoma rates have been increasing in the United States, and neither primary (sun protection and avoidance) nor secondary (skin examination) prevention is practiced consistently, even by those with melanoma risk factors. Inherited variation at MC1R is a robust marker for increased risk of melanoma, even among individuals with “sun-resistant” phenotypes. Although MC1R conveys important information about inherited melanoma risk for a broad spectrum of individuals, concerns that MC1R feedback could have negative consequences, including increased distress about melanoma, inappropriate use of health services, and development of a false sense of security are valid and require empirical examination. The time is right for high quality research focusing on the translation of MC1R genotype into clinical and public health practice. If studies show MC1R genetic risk screening is effective at motivating behavior change, more melanomas may be detected at earliest stages for which surgical excision is highly curative or a large number of melanomas may be prevented altogether. While other genetic markers for melanoma susceptibility may emerge in the coming years, the burgeoning research agenda on the public health translational potential of MC1R genetic risk screening will inform and usefully advance current and future precision risk assessment of melanoma.
Introduction
The incidence of melanoma has tripled in the last four decades, and the rising prominence of this potentially fatal skin cancer in younger adults is particularly alarming (1, 2). Most melanomas are caused by ultraviolet radiation (UVR), predominately due to sun exposure, and with recent contributions from exposure to artificial UVR sources (3). Primary prevention efforts for melanoma seek to mitigate the development of disease through the reduction of daily UVR exposure through use of hats and clothing to block sun exposure, and use of sunscreen (4). Limiting UVR exposure has the potential to reduce melanoma rates by at least 65% (5).
Secondary prevention for melanoma focuses on the early detection of melanocytic lesions by means of thorough skin screening examinations conducted either by a trained professional or completed carefully and routinely at home (6). Although public health messaging promoting sun protection and skin awareness has been available for years, only 35% of the United States population uses sunscreen consistently, and only 20% of Americans report having had a total- body skin examination (7–10). Poor prevention behaviors also extend to Hispanics, an important and growing segment of the American population (11). Over the past decade, researchers have considered the communication of genetic test results as a potential means to motivate behavior change in the general population. For melanoma, information on inherited variation in the melanocortin-1 receptor (MC1R) gene may be one risk screening tool that could shape physician- patient communication to motivate melanoma primary and secondary prevention behaviors. The characteristics of MC1R, with non-trivial increased risk of melanoma in persons inheriting specific variants, the high prevalence of variant carriers in the population, and the relevance of carrier status to individuals at low phenotypic risk of disease, make it an ideal genetic marker for feedback to general population subgroups to relay information about heightened disease risk.
The time is right for high quality research focusing on the translation of MC1R genotype into clinical and public health practice.
The promise of MC1R as a genetic risk screening tool
MC1R encodes a protein central to pathways that signal the production of melanins. It exhibits impressive genetic variability, with the majority (61%) of individuals of European ancestry carrying as least one non-synonymous variant that has potential to affect native MC1R function (12). In contrast, most MC1R variants related to African ancestry are synonymous changes with little if any potential to impact native MC1R function (13, 14). The nine most prevalent variants at MC1R range in frequency from about 0.5% to 11% in the general population, and the inheritance of one of these variants is a robust marker for increased risk of melanoma (12). This finding is consistently observed across varied populations of European ancestry, including persons identifying as Hispanic and of Mediterranean descent (15, 16).
These MC1R variants impart a 1.5- to 2.7-fold increased odds of melanoma (12), which are comparable in strength to several other melanoma risk factors including family history of disease and phenotypic characteristics, although disease odds associated with common or atypical moles are stronger and range upward to 10-fold (17, 18) Importantly, even among individuals with “sun-resistant” phenotypes, including those with darker hair color, fewer freckles, darker skin tones, and/or a proclivity to tan, MC1R risk variants show robust associations with risk of melanoma (12). Thus, MC1R genotype conveys information about inherited risk of melanoma for a broad spectrum of individuals, including those with darker pigmentary phenotypes who may be unaware of their personal susceptibility to melanoma.
Attributable risk refers to the amount of disease reduction possible through the “removal” of a particular exposure. The amount of melanoma risk attributable to the carriage of one of the nine most prevalent MC1R variants ranges from 1.2% to 8.9%, and the attributable risk summed across the nine variants reaches 40% (Table 1, (12). Thus, at least theoretically, if knowledge of MC1R genotype is salient to patients, the potential to impact prevention behaviors across a large portion of the general population is quite possible.
Table 1.
Allele frequency and population attributable risk for melanoma for the nine most prevalent MC1R variants a
| MC1R variant | Allele frequency (%) | Attributable risk % (95% confidence interval) |
|---|---|---|
| V60L | 10.6 | 8.2 (3.7 – 11.8) |
| D84E | 0.4 | 1.2 (0.6 – 1.5) |
| V92M | 7.0 | 4.7 (3.1 – 6.1) |
| R142H | 0.6 | 1.5 (0.7 – 2.0) |
| R151C | 5.7 | 8.9 (7.1 – 10.3) |
| I155T | 0.8 | 1.2 (0.4 – 1.7) |
| R160W | 7.2 | 8.3 (6.7 – 9.6) |
| R163Q | 4.7 | 2.7 (1.2 – 3.8) |
| D294H | 1.3 | 3.3 (2.7 – 3.8) |
All estimates are abstracted from Pasquali et al. and are derived from a pooled analysis of over 5100 melanoma cases and 12,100 controls aggregated from 17 international studies (12).
Ongoing research investigating MC1R as a genetic risk screening tool
Genetic testing for MC1R could lead to heightened, more precise, and more personalized feedback regarding melanoma risk that is persuasive and motivational, in line with well- established health behavior theories (e.g., The Health Belief Model, The Theory of Planned Behavior, (19). Concerns regarding the potential that MC1R feedback will increase distress and worry about melanoma, result in over- or inappropriate use of health services, or lead to a false sense of security about melanoma in those found not to be at increased risk will need to be examined empirically, despite the fact that these concerns have not been borne out in other contexts where SNP feedback has been provided (20). It also may be that the low level of risk (~2 to 3-fold) associated with MC1R variant carriage may not provide a potential motivational impetus for behavior change.
There are several ongoing research studies striving to obtain empirical evidence to inform whether MC1R genotyping can be incorporated into clinical and/or public health practice to impact melanoma risk prevention behaviors. Three intervention studies use randomized designs to test the efficacy of feedback of genetic information. One study set in Australia provides risk information based on a panel of 42 SNP markers in 21 genomic regions known to be associated with melanoma risk that includes eight risk variants in MC1R. A pilot phase assessed behavior changes three months post-intervention and found promising results in the mean number of standard erythemal doses (a measure of overall UVR dose) comparing the control arm receiving only non-genetic information about melanoma prevention and early detection to the invention arm receiving information on personalized genomic risk along with non-genetic information (21). Two additional studies, one set in Florida and one in New Mexico (22) are assessing feedback of risk information based on carriage of MC1R genotype alone. Findings from these three studies, all designed to assess behavior changes out to one year post-intervention, are expected over the next several years. Of note, the two ongoing studies in the United States have incorporated a core content of shared risk feedback materials, including Spanish translations (23), and there is a healthy cross-fertilization of idea and practice experience across the investigators of all three ongoing studies.
Planning for dissemination of MC1R genetic results to the public
Testing and feedback for high penetrance melanoma genetic risk (e.g. genetic testing for rare mutations in the cyclin dependent kinase inhibitor 2A [CDKN2A] gene with members of melanoma families) requires intensive pre- and post-test education and counseling conducted by a certified genetic counselor. In contrast, MC1R genetic risk screening and feedback to members of the general population will need alternative methods of testing and provision of feedback.
Given that risk levels associated with carriage of high risk MC1R variants are comparable to other melanoma risk factors commonly discussed in behavioral interventions and standard clinical practice such as family history, it can be argued that feedback of MC1R genotype should not require formal genetic counseling per se. Furthermore, the resource demands of in-person genetic counseling coupled with the limited number of certified genetic counselors reduce the feasibility of this implementation method in community-based clinics and other public health contexts relevant to the general population. The determination and communication of MC1R risk status has potential to improve melanoma prevention efforts given that genetic risk information is novel, may lead to fruitful discussions with physicians and family, and may help individuals understand how genetics and environment together help to inform their skin cancer risk, all potentially leading to risk appreciation and potential behavior change. Additionally, in the future MC1R may be able to be combined with other known melanoma risk factors in order to provide individuals with more precise risk levels than are currently available.
Dissemination strategies for MC1R genotype results could include receipt of information via web-based interface or postal mail or via telephone call with a trained (non-genetic counselor) public health professional. In a study offering MC1R testing as part of a multiplex panel of markers for other diseases, participants were receptive to receiving genetic results in the mail followed by a phone call with a trained research educator; while the services of a trained genetic counselor were made available, none of the study participants selected this option (24). Studies are underway that will confirm the comprehensibility and acceptability of these approaches to MC1R test information and feedback (22). Another option is to have MC1R results delivered directly to primary or dermatological health care providers, which will allow for ongoing patient-physician communication focused on skin cancer prevention informed by MC1R status. Regardless of communication channel and whether individuals receive feedback that they have higher risk, average risk, or no MC1R variants, the fundamental goal is to ensure clarity of recommendations regarding primary and secondary prevention behaviors. Ideally, feedback of MC1R genotype will maximize motivation for protection in those at highest risk, and avoid undermining prevention behaviors in those at lower risk for MC1R, who may indeed have other risk factors for melanoma or who should be reminded of population recommendations for sun protection (4). Although confirmation of efficacy for interventions incorporating precision risk assessment needs to precede dissemination and implementation efforts, the rapidly evolving field of public health genomics and its intersection with skin cancer warrants ongoing discussions regarding these important next steps. Further, the current development of scalable precision risk assessment interventions that reach broad segments of the population will facilitate and speed dissemination and implementation in the coming years.
Next steps and future directions
In the coming years, precision risk assessment of melanoma may well include genetic risk screening such as MC1R testing. Genetic information may well provide highly salient information that may raise the immediacy of primary and secondary prevention behaviors in those at heightened risk. However, in other behavioral domains such as diet, physical activity, smoking cessation, and alcohol use, genetic risk feedback does not consistently increase health behavior change (25). For many individuals, genetic risk feedback for melanoma likely requires targeting of other important health behavior change mechanisms such as increasing confidence in performing consistent sun protection, or increasing perceived control over health (26). Many of the existing genetic risk feedback studies oversample research volunteers who were already highly motivated to change their behavior at baseline, even before receiving genetic risk feedback (27), so it is a high priority to examine the impact of MC1R testing in individuals with a range of attitudes towards genetic testing and melanoma risk behavior change. Further, specific subgroups such as those who engage in intentional tanning, either indoor or outdoor, or diverse populations including Hispanics may be particularly likely to benefit, given their relative lack of awareness about skin cancer and melanoma (28). If studies show that MC1R genetic risk screening proves to be effective for motivating behavior change, a significant proportion of melanomas may be detected at its earliest stage for which surgical excision is highly curative or a large number of melanomas may be prevented altogether. While other genetic markers for melanoma susceptibility relevant in the general population may certainly emerge in the coming years, the burgeoning research agenda on the public health translational potential of MC1R genetic risk screening will inform and usefully advance current and future precision risk assessment of melanoma.
Acknowledgments
Grant Support
This work was supported, in part, by grant awards from the American Cancer Society to PAK (RSG-14-162-01-CPHPS) and the National Institutes of Health to JLH (R01 CA181241).
Footnotes
Disclosure of Potential Conflicts of Interest
The authors declare no potential conflicts of interest
References
- 1.Howlader N, Noone AM, Krapcho M, Miller D, Bishop K, Kosary CL, et al. SEER Cancer Statistics Review, 1975–2014. National Cancer Institute; Bethesda, MD: Bethesda, MD: National Cancer Institute; 2015. http://seer.cancer.gov/csr/1975_2014/, based on November 2016 SEER data submission, posted to the SEER web site, April 2017. [Google Scholar]
- 2.Weir HK, Marrett LD, Cokkinides V, Barnholtz-Sloan J, Patel P, Tai E, et al. Melanoma in adolescents and young adults (ages 15–39 years): United States, 1999–2006. J Am Acad Dermatol. 2011;65:S38–49. doi: 10.1016/j.jaad.2011.04.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Gandini S, Autier P, Boniol M. Reviews on sun exposure and artificial light and melanoma. Prog Biophys Mol Biol. 2011;107:362–6. doi: 10.1016/j.pbiomolbio.2011.09.011. [DOI] [PubMed] [Google Scholar]
- 4.U.S. Department of Health and Human Services. The Surgeon General’s Call to Action to Prevent Skin Cancer. Washington, DC: U.S. Dept of Health and Human Services, Office of the Surgeon General; 2014. [PubMed] [Google Scholar]
- 5.Armstrong BK, Kricker A. How much melanoma is caused by sun exposure? Melanoma Res. 1993;3:395–401. doi: 10.1097/00008390-199311000-00002. [DOI] [PubMed] [Google Scholar]
- 6.Centers for Disease Control and Prevention. Skin Cancer 2008. 2017 Jul 27; [cited 2017 August 7]; Available from: https://www.cdc.gov/cancer/skin/
- 7.Coups EJ, Manne SL, Heckman CJ. Multiple skin cancer risk behaviors in the U.S. population. Am J Prev Med. 2008;34:87–93. doi: 10.1016/j.amepre.2007.09.032. [DOI] [PubMed] [Google Scholar]
- 8.Hall HI, May DS, Lew RA, Koh HK, Nadel M. Sun protection behaviors of the U.S. white population. Prev Med. 1997;26:401–7. doi: 10.1006/pmed.1997.0168. [DOI] [PubMed] [Google Scholar]
- 9.Centers for Disease Control and Prevention (CDC) Sunburn prevalence among adults-- United States, 1999, 2003, and 2004. MMWR Morbidity and mortality weekly report. 2007;56:524–8. [PubMed] [Google Scholar]
- 10.Hay J, Kaphingst K, Li Y, Baser R, Alford SH, McBride C. Skin cancer concerns and genetic risk information seeking in primary care [Abstract]. Frontiers in Cancer Prevention Ressearch Conference; 2009. [Google Scholar]
- 11.Coups EJ, Stapleton JL, Hudson SV, Medina-Forrester A, Natale-Pereira A, Goydos JS. Sun protection and exposure behaviors among Hispanic adults in the United States: differences according to acculturation and among Hispanic subgroups. BMC public health. 2012;12:985. doi: 10.1186/1471-2458-12-985. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Pasquali E, Garcia-Borron JC, Fargnoli MC, Gandini S, Maisonneuve P, Bagnardi V, et al. MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: a pooled-analysis from the M-SKIP project. International journal of cancer. 2015;136:618–31. doi: 10.1002/ijc.29018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Rana BK, Hewett-Emmett D, Jin L, Chang BH, Sambuughin N, Lin M, et al. High polymorphism at the human melanocortin 1 receptor locus. Genetics. 1999;151:1547–57. doi: 10.1093/genetics/151.4.1547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Harding RM, Healy E, Ray AJ, Ellis NS, Flanagan N, Todd C, et al. Evidence for variable selective pressures at MC1R. Am J Hum Genet. 2000;66:1351–61. doi: 10.1086/302863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Landi MT, Kanetsky PA, Tsang S, Gold B, Munroe D, Rebbeck T, et al. MC1R, ASIP, and DNA repair in sporadic and familial melanoma in a Mediterranean population. Journal of the National Cancer Institute. 2005;97:998–1007. doi: 10.1093/jnci/dji176. [erratum appears in J Natl Cancer Inst. 2005 Sep 21;97(18):1385] [DOI] [PubMed] [Google Scholar]
- 16.Scherer D, Nagore E, Bermejo JL, Figl A, Botella-Estrada R, Thirumaran RK, et al. Melanocortin receptor 1 variants and melanoma risk: a study of 2 European populations. International journal of cancer. 2009;125:1868–75. doi: 10.1002/ijc.24548. [DOI] [PubMed] [Google Scholar]
- 17.Gandini S, Sera F, Cattaruzza MS, Pasquini P, Abeni D, Boyle P, et al. Meta-analysis of risk factors for cutaneous melanoma: I. Common and atypical naevi. Eur J Cancer. 2005;41:28–44. doi: 10.1016/j.ejca.2004.10.015. [DOI] [PubMed] [Google Scholar]
- 18.Gandini S, Sera F, Cattaruzza MS, Pasquini P, Zanetti R, Masini C, et al. Meta-analysis of risk factors for cutaneous melanoma: III. Family history, actinic damage and phenotypic factors. Eur J Cancer. 2005;41:2040–59. doi: 10.1016/j.ejca.2005.03.034. [DOI] [PubMed] [Google Scholar]
- 19.Conner M, Norman P. Predicting health behaviour. McGraw-Hill Education; UK: 2005. [Google Scholar]
- 20.Graves KD, Hay JL, O’Neill SC. The promise of using personalized genomic information to promote behavior change: Is the debate over, or just beginning? Personalized Medicine. 2014;11:173–85. doi: 10.2217/pme.13.110. [DOI] [PubMed] [Google Scholar]
- 21.Smit AK, Espinoza D, Newson AJ, Morton RL, Fenton G, Freeman L, et al. A pilot randomised controlled trial of the feasibility, acceptability and impact of giving information on personalised genomic risk of melanoma to the public. Cancer Epidemiol Biomarkers Prev. 2016 doi: 10.1158/1055-9965.EPI-16-0395. [DOI] [PubMed] [Google Scholar]
- 22.Hay JL, Berwick M, Zielaskowski K, White KA, Rodriguez VM, Robers E, et al. Implementing an Internet-Delivered Skin Cancer Genetic Testing Intervention to Improve Sun Protection Behavior in a Diverse Population: Protocol for a Randomized Controlled Trial. JMIR research protocols. 2017;6:e52. doi: 10.2196/resprot.7158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Rodriguez VM, Robers E, Zielaskowski K, Javier Gonzalez C, Hunley K, Kaphingst KA, et al. Translation and adaptation of skin cancer genomic risk education materials for implementation in primary care. Journal of community genetics. 2017;8:53–63. doi: 10.1007/s12687-016-0287-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kaphingst KA, McBride CM, Wade C, Alford SH, Reid R, Larson E, et al. Patients’ understanding of and responses to multiplex genetic susceptibility test results. Genetics in medicine: official journal of the American College of Medical Genetics. 2012;14:681–7. doi: 10.1038/gim.2012.22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hollands GJ, French DP, Griffin SJ, Prevost AT, Sutton S, King S, et al. The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis. BMJ (Clinical research ed) 2016;352:i1102. doi: 10.1136/bmj.i1102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.French DP, Cameron E, Benton JS, Deaton C, Harvie M. Can Communicating Personalised Disease Risk Promote Healthy Behaviour Change? A Systematic Review of Systematic Reviews. Annals of behavioral medicine: a publication of the Society of Behavioral Medicine. 2017 doi: 10.1007/s12160-017-9895-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Sanderson SC, O’Neill SC, White DB, Bepler G, Bastian L, Lipkus IM, et al. Responses to Online GSTM1 Genetic Test Results among Smokers Related to Patients with Lung Cancer: A Pilot Study. Cancer Epidemiol Biomarkers Prev. 2009 doi: 10.1158/1055-9965.EPI-08-0620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Robinson JK, Joshi KM, Ortiz S, Kundu RV. Melanoma knowledge, perception, and awareness in ethnic minorities in Chicago: recommendations regarding education. Psycho-oncology. 2011;20:313–20. doi: 10.1002/pon.1736. [DOI] [PubMed] [Google Scholar]
