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Erratum| Volume 128, ISSUE 5, P1340-1342, May 2008

Epidemiologic Support for Melanoma Heterogeneity Using the Surveillance, Epidemiology, and End Results Program

      Correction to: Journal of Investigative Dermatology (2008) 128, 243–245. doi:10.1038/sj.jid.5701028
      The Letter to the Editor by Lachiewicz et al. was inadvertently printed without Figures 1 and 2. The publisher regrets the error. The Letter is reprinted below in its entirety.
      Figure thumbnail gr1
      Figure 1Age-specific incidence rates and age distribution of melanoma. Age-specific incidence rates per 100,000 population of invasive melanoma are shown for (a) all cases, (c) trunk melanomas, and (e) face/ear melanomas. Age distributions are shown for (b) all cases, (d) trunk melanomas, and (f) face/ear melanomas; the vertical axis represents smoothed estimates of the proportion of patients who developed melanoma at the corresponding age at diagnosis on the horizontal axis. Rates and distribution curves are depicted in solid lines for males and in dashed lines for females.
      Figure thumbnail gr2
      Figure 2Age-specific incidence rates and age distributions by site and by histological subtype. Age-specific incidence rates per 100,000 population of invasive superficial spreading (SSM) and invasive nodular melanoma (NM) are shown for (a) trunk and (c) face/ear locations. Age distributions of SSM and NM at (b) trunk and (d) face/ear locations are also shown. No cases of NM on the face/ears were collected for the age group 20–24 years. Rates and distribution curves are depicted in solid lines for SSM and in dashed lines for NM.
      Epidemiologic Support for Melanoma Heterogeneity Using the Surveillance, Epidemiology, and End Results Program
      Journal of Investigative Dermatology advance online publication, 23 August 2007; doi:10.1038/sj.jid.5701028
      TO THE EDITOR
      Several studies have used evidence evaluating genetic alterations (
      • Curtin J.A.
      • Fridlyand J.
      • Kageshita T.
      • Patel H.N.
      • Busam K.J.
      • Kutzner H.
      • et al.
      Distinct sets of genetic alterations in melanoma.
      ) and anatomic location (
      • Whiteman D.C.
      • Watt P.
      • Purdie D.M.
      • Hughes M.C.
      • Hayward N.K.
      • Green A.C.
      Melanocytic nevi, solar keratoses, and divergent pathways to cutaneous melanoma.
      ) to support theories that melanoma is a heterogeneous disease with differing etiologies. Using data from the large-scale, population-based Surveillance, Epidemiology, and End Results Program (SEER) of the National Cancer Institute, we examined whether age-specific incidence patterns separated by sex and site would reveal distinct melanoma subgroups.
      Age, sex, and anatomic site were abstracted for all microscopically confirmed, first invasive cutaneous melanomas among non-Hispanic white adults collected by the SEER 17 Registry Program from 2000 to 2004. Incidence rates, summarized across 5-year age groups, were plotted by age at diagnosis on a log-log scale, and age distribution curves were created. Detailed materials and methods are available in Supplementary Materials and Methods.
      After excluding 15 cases missing age at diagnosis, 48,673 cases were available for analysis (Table 1). Fifty-six percent of patients were male, and the mean age at diagnosis was 57.0 years. Forty-one percent of all melanomas occurred among those 40–59 years of age. However, the age-specific incidence rate peaked among people aged 70–79 years, who had an incidence rate 5.9 times higher (95% confidence intervals, 5.6–6.2) than those aged 20–29 years. The incidence rate ratio for females compared to males was 0.7 (95% confidence intervals, 0.7–0.7). Forty-three percent of melanomas were located on the extremities, 34% on the trunk, 12% on the face/ears, 7% on the scalp/neck, and 4% at other/unclassified sites.
      Table 1Frequency and incidence of invasive cutaneous melanoma in non-Hispanic white adults collected by SEER-17 from 2000 to 2004
      Note: 15 cases were excluded for missing age at diagnosis.
      (n=48,673)
      Characteristicn (%)
      Percentages are rounded and may not sum to 100.
      Incidence rate per 100,000 (SE)Incidence rate ratio (95% CI)
      Rate ratios compare rates for given characteristics to a referent characteristic with an assigned rate ratio of 1.0.
      Age at diagnosis (years)
       Mean+SD57.0 (16.6)NANA
      Age groups (years)
       20–292,391 (5)9.1 (0.2)1
       30–395,188 (11)16.2 (0.2)1.8 (1.7–1.9)
       40–499,376 (19)25.5 (0.3)2.8 (2.7–2.9)
       50–5910,585 (22)35.5 (0.3)3.9 (3.7–4.1)
       60–698,541 (18)46.5 (0.5)5.1 (4.9–5.4)
       70–797,769 (16)53.3 (0.6)5.9 (5.6–6.2)
       80+4,823 (10)49.6 (0.7)5.5 (5.2–5.7)
      Sex
       Male27,300 (56)33.6 (0.2)1
       Female21,373 (44)24.7 (0.2)0.7 (0.7–0.7)
      Anatomic site
       Extremities21,008 (43)12.5 (0.1)1
       Trunk16,610 (34)9.9 (0.1)0.8 (0.8–0.8)
       Face/ears5,875 (12)3.5 (<0.01)0.3 (0.3–0.3)
       Scalp/neck3,300 (7)2.0 (<0.01)0.2 (0.2–0.2)
       Other/unclassified1,880 (4)1.1 (<0.01)0.1 (0.1–0.1)
      CI, confidence interval; SD, standard deviation; SE, standard error; SEER, Surveillance, Epidemiology, and End Results; NA, not applicable.
      1 Note: 15 cases were excluded for missing age at diagnosis.
      2 Percentages are rounded and may not sum to 100.
      3 Rate ratios compare rates for given characteristics to a referent characteristic with an assigned rate ratio of 1.0.
      The age-specific incidence rate curve and the age distribution for all melanoma cases are shown in Figure 1. Rates for all cases increased rapidly until age 55–59, then continued to rise at slower rates before beginning to decline (Figure 1a). The age distribution plot displayed a multimodal distribution, with distinct early-onset and late-onset peak frequencies of melanoma occurring at ages 54 and 74 years, respectively (Figure 1b).
      Melanomas demonstrated different incidence patterns by anatomic site. Age-specific incidence rates among those with trunk melanoma generally increased until age 55–59 years, then plateaued and subsequently declined (Figure 1c). The flattening of rates for trunk melanoma occurred earlier and was more extreme for females than for males. The age distribution of trunk melanoma was predominantly unimodal, with early-onset peak frequencies occurring at age 54 for males and 44 for females (Figure 1d). In contrast, age-specific incidence rates among those with face/ear melanoma increased sharply throughout older age (Figure 1e). The age distribution for face/ear melanoma was unimodal with late-onset peaks at age 77 for males and at age 78 for females (Figure 1f). Incidence rates for melanomas of the extremities, scalp/neck, and other/unclassified sites demonstrated various mixtures of these two patterns and did not show unimodal distributions (data not shown). These distinct patterns for trunk and face/ear melanomas were maintained when the analysis was limited to those classified as superficial spreading melanoma and nodular melanoma histological subtypes (Figure 2).
      The multimodal distribution of invasive melanoma might be explained, in part, by divergent patterns for anatomic site. Broken down by site, trunk melanomas displayed an early-onset peak of melanoma incidence, while face/ear melanomas demonstrated a late-onset incidence peak. Comparable divergent incidence rate patterns have been noted for breast cancer, and the bend in age-specific rates near menopause has been termed Clemmesen's hook (
      • Clemmesen J.
      Carcinoma of the breast—Symposium. I. Results from statistical research.
      ;
      • Anderson W.F.
      • Jatoi I.
      • Devesa S.S.
      Distinct breast cancer incidence and prognostic patterns in the NCI's SEER program: suggesting a possible link between etiology and outcome.
      ). Clemmesen's hook on the age-specific incidence rate curve has been shown to correspond to the dip between the bimodal peaks of the age distribution plot (
      • Anderson E.
      • Reed S.C.
      • Huseby R.A.
      • Oliver C.P.
      Possible relationship between menopause and age at onset of breast cancer.
      ). Our data suggest the existence of a Clemmesen's hook for melanoma.
      • Bulliard J.
      Site-specific risk of cutaneous malignant melanoma and pattern of sun exposure in New Zealand.
      analyzed age-and surface area-adjusted incidence rates by anatomic site for the non-Maori population of New Zealand using data from 1968 to 1993 and found patterns similar to ours.
      • Elwood J.M.
      • Gallagher R.P.
      Body site distribution of cutaneous malignant melanoma in relationship to patterns of sun exposure.
      examined site-specific incidence rates per unit area of skin for 1,033 patients in a Canadian melanoma registry and noted that the density of melanoma on the back exceeded that of the face before age 50, but that melanoma density was greatest on the face at later ages. Additionally,
      • Dennis L.K.
      Melanoma incidence by body site: effects of birth-cohort adjustment.
      used SEER data collected during 1972–1994 to examine age-specific incidence curves by site adjusted for birth-cohort effects. While adjusting for birth-cohort increased incidence rates for all sites, especially after age 50, the incidence patterns for trunk and head resembled those we found for trunk and face/ears.
      Divergent age-specific incidence patterns support hypotheses that melanomas may emerge from more than one causal pathway and complement recent evidence identifying distinct melanoma genotypes.
      • Whiteman D.C.
      • Watt P.
      • Purdie D.M.
      • Hughes M.C.
      • Hayward N.K.
      • Green A.C.
      Melanocytic nevi, solar keratoses, and divergent pathways to cutaneous melanoma.
      have proposed a “divergent pathway” model in which people with inherently low propensity for melanocyte proliferation require chronic sun exposure to habitually exposed sites, such as the face, to develop melanoma, whereas people with a high propensity for melanocyte proliferation develop melanomas on sites with unstable melanocytes, such as the trunk, with less or intermittent solar damage. Our data support this model by displaying an early-onset peak frequency for trunk melanomas and a late-onset peak frequency for face/ear melanomas. Additionally, BRAF mutations, found in 20–80% of cutaneous melanomas (
      • Lang J.
      • MacKie R.M.
      Prevalence of exon 15 BRAF mutations in primary melanoma of the superficial spreading, nodular, acral, and lentigo maligna subtypes.
      ), occur more frequently in melanomas of patients <50 years of age and are positively associated with truncal location (
      • Liu W.
      • Kelly J.W.
      • Trivett M.
      • Murray W.K.
      • Dowling J.P.
      • Wolfe R.
      • et al.
      Distinct clinical and pathological features are associated with the BRAFTI799A(V600E) mutation in primary melanoma.
      ;
      • Thomas N.E.
      • Edmiston S.N.
      • Alexander A.
      • Millikan R.C.
      • Groben P.A.
      • Hao H.
      • et al.
      Number of nevi and early life ambient UV exposure are associated with BRAF-mutant melanoma.
      ). BRAF mutations are also significantly more likely to be found in melanomas on skin without evidence of chronic sun damage, as reflected by the lack of severe histological solar elastosis (
      • Maldonado J.L.
      • Fridlyand J.
      • Patel H.
      • Jain A.N.
      • Busam K.
      • Kageshita T.
      • et al.
      Determinants of BRAF mutations in primary melanomas.
      ;
      • Curtin J.A.
      • Fridlyand J.
      • Kageshita T.
      • Patel H.N.
      • Busam K.J.
      • Kutzner H.
      • et al.
      Distinct sets of genetic alterations in melanoma.
      ). Thus, our epidemiologic incidence patterns match what is already known about one genetically distinct type of melanoma.
      Other evidence suggests that histological growth patterns may be useful in identifying melanoma subtypes that have distinctive biological behaviors (
      • Clark W.H.
      • From L.
      • Bernardino E.A.
      • Mihm M.C.
      The histogenesis and biological behavior of primary human malignant melanomas of the skin.
      ). It is well-known that lentigo maligna melanoma, a subtype associated with cumulative sun exposure, frequently occurs on the head and neck in older adults (
      • Cohen L.M.
      Lentigo maligna and lentigo maligna melanoma.
      ). Nevertheless, when our analysis was limited to melanomas classified as superficial spreading or nodular melanoma subtypes, the patterns by site persisted.
      Our analysis demonstrates the value of using a large-scale, population-based database for hypothesis-generating and hypothesis-testing. Melanoma is a heterogeneous cancer and is likely to represent tumors with multiple etiologies and perhaps different outcomes. Further research on the genetic make-up of distinct phenotypes will advance our understanding of melanoma and may improve our ability to prevent and treat this disease.

      Conflict of Interest

      The authors state no conflict of interest.

      ACKNOWLEDGMENTS

      This work was supported by the Holderness Medical Foundation Fellowship Program at the University of North Carolina.

      SUPPLEMENTARY MATERIAL

      Materials and Methods.

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