Predicting melanoma risk for the Australian population

Australasian Journal of Dermatology

Volumn 52, Issue 2, 2011, Pages 109-116

  Mar, Victoria ^a   Wolfe, Rory ^b   Kelly, John W ^a  

^a MONASH UNIVERSITY   (Australia)

^b MONASH UNIVERSITY   (Australia)

Author keywords

Attributable risk; Melanoma risk; Risk model

Indexed keywords

ACTINIC KERATOSIS; AGE; ARTICLE; ATTRIBUTABLE RISK; AUSTRALIA; BASAL CELL CARCINOMA; CANCER RISK; CONTROLLED STUDY; DEMOGRAPHY; DYSPLASTIC NEVUS; FAMILY HISTORY; GENETIC PREDISPOSITION; HAIR COLOR; HIGH RISK POPULATION; HUMAN; LENTIGO; MELANOMA; META ANALYSIS (TOPIC); NEVUS; POPULATION MODEL; PRECANCER; PREDICTION; RISK ASSESSMENT; SKIN CANCER; SQUAMOUS CELL CARCINOMA;

ADULT; AGED; AGED, 80 AND OVER; AUSTRALIA; FEMALE; HUMANS; INCIDENCE; MALE; MELANOMA; MIDDLE AGED; MODELS, BIOLOGICAL; PREVALENCE; RISK; SKIN NEOPLASMS; SKIN PIGMENTATION; YOUNG ADULT;

EID: 79958233893     PISSN: 00048380     EISSN: 14400960     Source Type: Journal    
DOI: 10.1111/j.1440-0960.2010.00727.x     Document Type: Article

References (30)

1. Australian Institute of Health and Welfare. Cancer Data cubes [database on the Internet]. 2008. Available from URL: http://www.aihw.gov.au/cancer/data/ datacubes/index.cfm (Accessed 17 Dec 2008.)
2. Lens MB, Dawes M. Global perspectives of contemporary epidemiological trends of cutaneous malignant melanoma. Br. J. Dermatol. 2004; 150: 179-85. (Pubitemid 38352453)
3. McPherson M, Elwood M, English DR et al. Presentation and detection of invasive melanoma in a high-risk population. J. Am. Acad. Dermatol. 2006; 54: 783-92. (Pubitemid 44382423)
4. Australian Cancer Network Melanoma Guidelines Revision Working Party. Clinical Practice Guidelines for the Management of Melanoma in Australia and New Zealand. Cancer Council Australia and Australian Cancer Network, Sydney and New Zealand Guidelines Group, Wellington, 2008.
5. Freedman AN, Seminara D, Gail MH et al. Cancer risk prediction models: a workshop on development, evaluation, and application. J. Natl. Cancer Inst. 2005; 97: 715-23. (Pubitemid 40872378)
6. Fears TR, Guerry DT, Pfeiffer RM et al. Identifying individuals at high risk of melanoma: a practical predictor of absolute risk. J. Clin. Oncol. 2006; 24: 3590-6. (Pubitemid 46630531)
7. MacKie RM, Freudenberger T, Aitchison TC. Personal risk-factor chart for cutaneous melanoma. Lancet 1989; 2: 487-90. (Pubitemid 19209152)
8. Cho E, Rosner BA, Feskanich D et al. Risk factors and individual probabilities of melanoma for whites. J. Clin. Oncol. 2005; 23: 2669-75. (Pubitemid 46179456)
9. Harbauer A, Binder M, Pehamberger H et al. Validity of an unsupervised self-administered questionnaire for self-assessment of melanoma risk. Melanoma Res. 2003; 13: 537-42. (Pubitemid 37266957)
10. Whiteman DC, Green AC. A risk prediction tool for melanoma? Cancer Epidemiol. Biomarkers Prev. 2005; 14: 761-3. (Pubitemid 40478531)
11. Gandini S, Sera F, Cattaruzza MS et al. Meta-analysis of risk factors for cutaneous melanoma: I. Common and atypical naevi. Eur. J. Cancer 2005; 41: 28-44. (Pubitemid 40029657)
12. Gandini S, Sera F, Cattaruzza MS et al. Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure. Eur. J. Cancer 2005; 41: 45-60. (Pubitemid 40029658)
13. Gandini S, Sera F, Cattaruzza MS 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. (Pubitemid 41337946)
14. Bruzzi P, Green SB, Byar DP et al. Estimating the population attributable risk for multiple risk factors using case-control data. Am. J. Epidemiol. 1985; 122: 904-14. (Pubitemid 16207356)
15. Whiteman DC, Valery P, McWhirter W et al. Risk factors for childhood melanoma in Queensland, Australia. Int. J. Cancer 1997; 70: 26-31. (Pubitemid 27059701)
16. English JS, Swerdlow AJ, Mackie RM et al. Site-specific melanocytic naevus counts as predictors of whole body naevi. Br. J. Dermatol. 1988; 118: 641-4.
17. Bliss JM, Ford D, Swerdlow AJ et al. Risk of cutaneous melanoma associated with pigmentation characteristics and freckling: systematic overview of 10 case-control studies. The International Melanoma Analysis Group (IMAGE). Int. J. Cancer 1995; 62: 367-76.
18. Palmer JS, Duffy DL, Box NF et al. Melanocortin-1 receptor polymorphisms and risk of melanoma: is the association explained solely by pigmentation phenotype? Am. J. Hum. Genet. 2000; 66: 176-86. (Pubitemid 30481481)
19. Marghoob AA, Slade J, Salopek TG et al. Basal cell and squamous cell carcinomas are important risk factors for cutaneous malignant melanoma. Screening implications. Cancer 1995; 75 (2 Suppl.):707-14.
20. Karahalios EE, Thursfield D, Simpson V et al. Second Primary Cancers in Victoria: Cancer Council of Victoria Epidemiology Centre. 2009 Contract No.: Document Number.
21. Giles G, Staples M, McCredie M et al. Multiple primary melanomas: an analysis of cancer registry data from Victoria and New South Wales. Melanoma Res. 1995; 5: 433-8.
22. Ferrone CR, Ben Porat L, Panageas KS et al. Clinicopathological features of and risk factors for multiple primary melanomas. JAMA 2005; 294: 1647-54. (Pubitemid 41407357)
23. Grulich AE, Bataille V, Swerdlow AJ et al. Naevi and pigmentary characteristics as risk factors for melanoma in a high-risk population: a case-control study in New South Wales, Australia. Int. J. Cancer. 1996; 67: 485-91. (Pubitemid 26274103)
24. Cust AE, Armstrong BK, Goumas C et al. Sunbed use during adolescence and early adulthood is associated with increased risk of early-onset melanoma. Int. J. Cancer 2010; Jul 28 [Epub ahead of print]
25. Olsen CM, Carroll HJ, Whiteman DC. Estimating the attributable fraction for cancer: a meta-analysis of nevi and melanoma. Cancer Prev. Res. (Phila Pa). 2010; 3: 233-45.
26. Olsen CM, Carroll HJ, Whiteman DC. Familial melanoma: a meta-analysis and estimates of attributable fraction. Cancer Epidemiol. Biomarkers Prev. 2010; 19: 65-73.
27. Olsen CM, Carroll HJ, Whiteman DC. Estimating the attributable fraction for melanoma: a meta-analysis of pigmentary characteristics and freckling. Int. J. Cancer 2010; 127: 2430-45.
28. Aitken JF, Duffy DL, Green A et al. Heterogeneity of melanoma risk in families of melanoma patients. Am. J. Epidemiol. 1994; 140: 961-73. (Pubitemid 24373000)
29. Steyerberg E. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. New York: Springer, 2009.
30. Cust AE, Schmid H, Maskiell JA et al. Population-based, case-control-family design to investigate genetic and environmental influences on melanoma risk: Australian Melanoma Family Study. Am. J. Epidemiol. 2009; 170: 1541-54.