Advertisement
Journal of Clinical Oncology  
Search for:
Limit by:
  Browse by Subject or Issue
Home Search or Browse JCO My JCO Subscriptions Customer Service Site Map

Originally published as JCO Early Release 10.1200/JCO.2005.04.1277 on May 25 2006

Journal of Clinical Oncology, Vol 24, No 22 (August 1), 2006: pp. 3590-3596
© 2006 American Society of Clinical Oncology.

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Save to my personal folders
Right arrow Download to citation manager
Right arrowRights & Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Fears, T. R.
Right arrow Articles by Tucker, M. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Fears, T. R.
Right arrow Articles by Tucker, M. A.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Identifying Individuals at High Risk of Melanoma: A Practical Predictor of Absolute Risk

Thomas R. Fears, DuPont Guerry, IV, Ruth M. Pfeiffer, Richard W. Sagebiel, David E. Elder, Allan Halpern, Elizabeth A. Holly, Patricia Hartge, Margaret A. Tucker

From the Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD; Melanoma Program, Abramson Cancer Center, University of Pennsylvania School of Medicine, Philadelphia, PA; Melanoma Clinic and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA; and Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, NY

Address reprint requests to Thomas R. Fears, PhD, National Cancer Institute; Executive Plaza S, Room 8040, Bethesda, MD 20892; e-mail: fearst{at}epndce.nci.nih.gov

PURPOSE: We developed a model to estimate the 5-year absolute risk of melanoma to efficiently identify individuals at increased risk of melanoma for potential interventions.

PATIENTS AND METHODS: We used data from a case-control study with 718 non-Hispanic white patients with invasive cutaneous melanoma from melanoma clinics in Philadelphia, PA and San Francisco, CA; matched controls were 945 patients from outpatient clinics with similar catchment areas. All participants underwent extensive interviews and skin examinations. We selected easily obtained clinical characteristics and responses to simple questions for study in order to develop sex-specific relative risk models. These models were combined with incidence and mortality rates by United States geographic areas to develop estimates of the absolute risk of developing melanoma within 5 years.

RESULTS: Relative risk models yielded an attributable risk of 86% for men and 89% for women, using at most seven variables. Attributable risks did not vary by age, ultraviolet B flux or hours outdoors. The absolute individual risks varied widely, depending on age, other host characteristics, and geographic area. Individual absolute risk can be estimated using a program available online.

CONCLUSION: Our procedures allow for estimating the absolute risk of developing melanoma to assist in the identification of patients at high risk. Such high-risk individuals could undergo interventions including a complete skin examination, counseling to avoid sun exposures, regular self and professional surveillance, or participation in prevention trials. It is important to emphasize that these projections are not intended to identify current melanoma cases.

Supported by the Intramural Research Program of the National Institutes of Health and the National Cancer Institute.

Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
JCOHome page
A. N. Freedman, M. L. Slattery, R. Ballard-Barbash, G. Willis, B. J. Cann, D. Pee, M. H. Gail, and R. M. Pfeiffer
Colorectal Cancer Risk Prediction Tool for White Men and Women Without Known Susceptibility
J. Clin. Oncol., February 10, 2009; 27(5): 686 - 693.
[Abstract] [Full Text] [PDF]


Home page
Cancer Prevention ResearchHome page
C. J. Etzel, S. Kachroo, M. Liu, A. D'Amelio, Q. Dong, M. L. Cote, A. S. Wenzlaff, W. K. Hong, A. J. Greisinger, A. G. Schwartz, et al.
Development and Validation of a Lung Cancer Risk Prediction Model for African-Americans
Cancer Prevention Research, September 1, 2008; 1(4): 255 - 265.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
M. A. Tucker
Is Sunlight Important to Melanoma Causation?
Cancer Epidemiol. Biomarkers Prev., March 1, 2008; 17(3): 467 - 468.
[Full Text] [PDF]


Home page
JCOHome page
X. Wu, J. Lin, H. B. Grossman, M. Huang, J. Gu, C. J. Etzel, C. I. Amos, C. P. Dinney, and M. R. Spitz
Projecting Individualized Probabilities of Developing Bladder Cancer in White Individuals
J. Clin. Oncol., November 1, 2007; 25(31): 4974 - 4981.
[Abstract] [Full Text] [PDF]


Home page
JNCI J Natl Cancer InstHome page
M. R. Spitz, W. K. Hong, C. I. Amos, X. Wu, M. B. Schabath, Q. Dong, S. Shete, and C. J. Etzel
A Risk Model for Prediction of Lung Cancer
J Natl Cancer Inst, May 2, 2007; 99(9): 715 - 726.
[Abstract] [Full Text] [PDF]


Home page
JCOHome page
R. F. Ozols, R. S. Herbst, Y. L. Colson, J. Gralow, J. Bonner, W. J. Curran Jr, B. L. Eisenberg, P. A. Ganz, B. S. Kramer, M. G. Kris, et al.
Clinical Cancer Advances 2006: Major Research Advances in Cancer Treatment, Prevention, and Screening--A Report From the American Society of Clinical Oncology
J. Clin. Oncol., January 1, 2007; 25(1): 146 - 162.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
C. Li, Z. Hu, Z. Liu, L.-E Wang, S. S. Strom, J. E. Gershenwald, J. E. Lee, M. I. Ross, P. F. Mansfield, J. N. Cormier, et al.
Polymorphisms in the DNA Repair Genes XPC, XPD, and XPG and Risk of Cutaneous Melanoma: a Case-Control Analysis
Cancer Epidemiol. Biomarkers Prev., December 1, 2006; 15(12): 2526 - 2532.
[Abstract] [Full Text] [PDF]


Home page
JCOHome page
F. L. Meyskens Jr and D. F. Ransohoff
Predicting Risk for the Appearance of Melanoma
J. Clin. Oncol., August 1, 2006; 24(22): 3522 - 3523.
[Full Text] [PDF]



About
JCO
 Editorial
Roster
 Advertising
Information
 Librarians &
Institutions
 Rights &
Permissions
 PDA Services

Copyright © 2006 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
Terms and Conditions of Use
  HighWire Press HighWire Press™ assists in the publication of JCO Online