The prognostic value of tumor mitotic rate in children and adolescents with cutaneous melanoma: A retrospective cohort study

The prognostic value of tumor mitotic rate in children and adolescents with cutaneous melanoma: A retrospective cohort study

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Journal Pre-proof The prognostic value of tumor mitotic rate in children and adolescents with cutaneous melanoma: a retrospective cohort study. Norbertus A. Ipenburg, MD, Serigne N. Lo, PhD, Ricardo E. Vilain, BSc MBBS PhD, Lodewijka H.J. Holtkamp, MD, James S. Wilmott, PhD, Omgo E. Nieweg, MD PhD, John F. Thompson, MD, Richard A. Scolyer, MD PII:

S0190-9622(19)32989-5

DOI:

https://doi.org/10.1016/j.jaad.2019.10.065

Reference:

YMJD 13966

To appear in:

Journal of the American Academy of Dermatology

Received Date: 12 July 2019 Revised Date:

24 October 2019

Accepted Date: 25 October 2019

Please cite this article as: Ipenburg NA, Lo SN, Vilain RE, Holtkamp LHJ, Wilmott JS, Nieweg OE, Thompson JF, Scolyer RA, The prognostic value of tumor mitotic rate in children and adolescents with cutaneous melanoma: a retrospective cohort study., Journal of the American Academy of Dermatology (2019), doi: https://doi.org/10.1016/j.jaad.2019.10.065. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier on behalf of the American Academy of Dermatology, Inc.

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Article type: Original article

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Title: The prognostic value of tumor mitotic rate in children and adolescents with cutaneous

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melanoma: a retrospective cohort study.

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Norbertus A. Ipenburg MD1, Serigne N. Lo PhD1, Ricardo E. Vilain BSc MBBS PhD1,

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Lodewijka H.J. Holtkamp MD1,2, James S. Wilmott PhD1,3, Omgo E. Nieweg MD PhD1,3,4,

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John F. Thompson MD1,3,4, Richard A. Scolyer MD1,3,5

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1: Melanoma Institute Australia, Sydney, New South Wales, Australia

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2: Department of Surgical Oncology, University Medical Center Groningen, Groningen, the

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Netherlands

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3: Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia

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4: Department of Melanoma and Surgical Oncology, Royal Prince Alfred Hospital, Sydney,

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New South Wales, Australia

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5: Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital,

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Sydney, New South Wales, Australia

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Corresponding author:

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Richard A. Scolyer, MD

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Melanoma Institute Australia

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40 Rocklands Road

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North Sydney, NSW 2065

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Australia

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E-mail: [email protected]

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Telephone: +61-2-99117200

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Fax: +61-2-99549290

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Funding sources: none

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Conflicts of interest:

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Drs Ipenburg had travel, accommodation and meeting expenses paid by Janssen-Cilag and

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Novartis (not related to this work).

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Prof Thompson. received honoraria for advisory board membership from GlaxoSmithKline,

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Merck Sharp Dohme, Bristol Myers Squibb and Provectus (not related to this work).

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Prof Scolyer received professional services fees from Merck Sharp Dohme, Novartis, Myriad

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and NeraCare (not related to this work).

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Prof Nieweg, Drs Holtkamp, Dr Lo, Dr Vilain, and Dr Wilmott have no conflicts of interest

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to declare.

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IRB approval status: This study was approved by the Melanoma Institute Australia

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Research Committee and the Sydney Local Health District Ethics Review Committee

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(Protocol No. X15-0454 and HREC/11/RPAH/444).

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Reprint request: corresponding author

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Prior presentation: no prior presentation

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Manuscript word count: 2499/2500 words [excluding capsule summary, abstract,

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references, figures, tables]

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Abstract word count: 193/200 words

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Capsule summary word count: 50/50 words

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References: 41

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Figures: 2

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Tables: 3

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Supplementary tables: 2 (available at DOI 10.17632/s7f9jsz9yj.1)

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Attachments: research protocol and statistical analysis plan

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Keywords: melanoma; oncology; adolescent; children; pediatric; mitotic rate; mitosis;

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dermatopathology; prognosis; pathology; survival; recurrence

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Abstract

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Background: Mitotic rate is a strong predictor of outcome in adult patients with primary

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cutaneous melanoma but for children and adolescent patients this is unknown.

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Objective: To assess the prognostic value of primary tumor mitotic rate in children and

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adolescents with primary melanoma.

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Methods: Cohort study of 156 patients aged < 20 years with clinically-localized cutaneous

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melanoma. Patients <12 years were classified as children and those 12-19 years as

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adolescents. Clinicopathological and outcome data were collected. Recurrence-free and

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melanoma-specific survival were calculated. Univariable and multivariable analyses were

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performed using Cox proportional hazard models.

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Results: Thirteen of the 156 patients (8%) were children. Mitotic rate was ≥1/mm2 in 104

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patients (67%) and correlated with increasing Breslow thickness. A positive sentinel node

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was found in 23 of the 61 patients (38%) who underwent sentinel node biopsy. Median

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follow-up was 61 months. Five-year melanoma-specific and recurrence-free survival were

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91% and 84%, respectively. Mitotic rate was a stronger predictor of outcome than tumor

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thickness, and the only factor independently associated with recurrence-free survival.

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Limitations: single institution, small sample size

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Conclusion: Mitotic rate is an independent predictor of recurrence-free survival in children

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and adolescents with clinically localized melanoma.

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Capsule summary •

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Tumor mitotic rate is one of the strongest independent predictors of outcome in adult melanoma patients.



In children and adolescents with melanoma, mitotic rate is also an important predictor of

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survival. It should be assessed and reported in all childhood and adolescent melanomas to

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aid prognostic stratification and treatment planning.

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6 87

Introduction

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Melanoma is the most common skin cancer in children and adolescents.1 Still, less than 1%

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of all melanomas occur in patients less than 20 years of age.2 Due to its rarity, the literature

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on melanoma in children and adolescents is sparse and treatment is primarily based on adult

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guidelines.

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Tumor mitotic rate is one of the strongest predictors of survival in adults with clinically

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localized primary cutaneous melanoma.3–7 Evidence suggests that mitotic rate is lower in

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melanomas occurring in children and adolescents than in other age groups.8 Few studies have

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assessed the prognostic value of mitotic rate in childhood and adolescent melanoma.8–12 Most

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reports including more than 100 children and adolescents with melanoma did not evaluate

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effect of mitotic rate on prognosis or had many missing values.2,13–20

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The purpose of this study was to assess the prognostic significance of mitotic rate in

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clinically localized primary cutaneous melanoma in children and adolescents. Secondary

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aims were to report the clinicopathologic features in a large cohort of melanoma patients <20

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years of age, to compare children with adolescent patients and to assess the relationship

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between mitotic rate and tumor thickness in this age group.

103 104

Patients and methods

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Patients

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The prospectively-collected database of Melanoma Institute Australia (MIA) was queried for

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this retrospective cohort study. Between 1993 and 2013, 259 melanoma patients under the

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age of 20 years were managed at MIA. To be included in the current study, a diagnosis of

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primary cutaneous melanoma had to have been confirmed by one or more MIA-affiliated

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pathologists. Borderline lesions, such as atypical Spitz nevi/tumors, melanocytomas or

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atypical melanocytic proliferations, were excluded after pathology review (n=27). Patients

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7 112

were also excluded if they had melanoma in situ (n=34), a metastasis from an unknown

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primary melanoma (n=5), multiple primary melanomas (n=5), mucosal melanoma (n=1),

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macrometastasis at diagnosis (n=4), or if an MIA-affiliated pathologist could not review the

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pathology slides (n=27). A total of 156 patients fulfilled the inclusion criteria. Institutional

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Review Board approval was obtained (Sydney South West Area Health Service institutional

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ethics review committee Protocol Number X15-0454).

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Data collection

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Patients who present to MIA for management of their melanoma after a diagnosis has been

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established, have their pathology slides reviewed by one or more MIA-affiliated pathologists

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at the Royal Prince Alfred Hospital, Sydney, Australia. The primary tumor pathological

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characteristics are assessed and recorded in a second pathology report (the “MIA pathology

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report”) and the histopathology slides are returned to the source pathology laboratory. The

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data utilized in this study were extracted from MIA pathology reports. In cases with missing

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data and when the histopathology slides were still available, the cases were re-reviewed and

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missing data were recorded.

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Data on demographics, primary tumor characteristics, sentinel node (SN) status, recurrence,

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treatment, and follow-up were obtained. Patients were stratified by age into two groups: <12

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years (children) and 12–19 years (adolescents). An age of 12 years was selected to represent

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the onset of puberty.21

132 133

Mitotic rate

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Tumor mitotic rate was measured according to the recommendations of the 1982

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International Pathology Workshop.22 Mitoses were recognized by the presence of extensions

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of chromatin extending from a condensed chromatin mass. The number of mitoses was

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8 137

counted in a 1 mm2 area (approximately five high power fields). The count started in the

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dermal area of the tumor with the greatest density of mitoses (‘hot spot’) and continued in

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immediately adjacent, non-overlapping fields.22,23

140 141

Statistical analysis

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Baseline characteristics were summarized using median (interquartile range) for continuous

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variables and proportions for categorical variables. Characteristics of childhood and

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adolescent patients were compared using the Pearson’s χ2 or Fisher’s exact test for

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categorical features and the Mann-Whitney U test for continuous variables. Melanoma-

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specific survival (MSS) was calculated as the time from initial diagnosis until melanoma-

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related death. Patients who died from non-melanoma causes or those still alive at last follow-

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up were censored. Recurrence-free survival (RFS) was defined as the time from diagnosis

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until recurrence or death. Censoring occurred at the end of follow-up. Univariable and

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multivariable analyses using Cox proportional hazard models were employed to assess the

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prognostic value of covariates for RFS and MSS. Mitotic rate was the variable of interest in

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this study. Other known prognostic factors in adult melanoma, such as gender, age, primary

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tumor site, Breslow thickness, ulceration and SN-status were all investigated in a univariable

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analysis.5,8,24,25 Given the number of patients who developed recurrence (n=28) only the two

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covariates with P-value <0.20 from the univariable analysis and with < 10% missing values

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were included in the multivariable model. The proportional hazards assumption was checked

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for the included variables.

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P-values were two-sided and considered statistically significant if <0.05. Statistical analyses

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were performed with SPSS 25.0 software for Mac (IBM SPSS, Chicago, IL).

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Results

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Patient and tumor characteristics

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Baseline characteristics of the 156 patients are shown in Table 1. The median age was 17.5

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years (range 1–19 years). Thirteen patients (8%) were children at the time of diagnosis, while

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143 (92%) were adolescent. Melanomas were most often thin (median Breslow thickness 1.0

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mm), non-ulcerated (65%) and located on the trunk (34%). The mitotic rate was ≥1/mm2 in

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104 patients (67%) and correlated with increasing Breslow thickness (Figure 1).

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Sentinel node biopsy (SNB) was performed in 61 patients, with 23 (38%) having a positive

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SN. Of the 77 patients with tumors >1 mm thick, 48 (62%) underwent SNB. Nineteen SN-

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positive patients (83%) underwent completion lymph node dissection. Additional nodal

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metastases were found in four of them (21%). None of the four SN-positive patients who did

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not have a completion lymph node dissection developed a recurrence.

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Childhood versus adolescent patients

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Substantial differences in characteristics were observed between the childhood and

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adolescent patients (Table 1). Childhood melanomas (n=13) were thicker (median 2.7 mm vs.

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1.0 mm; P=0.002) and were more often located in the head and neck region (n=5; 38%),

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while adolescent melanomas (n=143) were most frequently located on the trunk (n=51; 36%).

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Melanoma subtype was also different between the two groups, with Spitzoid melanoma (n=8;

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62%) being the most common subtype in children and superficial spreading melanoma

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(n=59; 41%) the most common in adolescent patients (P=0.007). Ulceration (n=4 (31%) in

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children vs. n=22 (15%) in adolescents; P=0.12) and mitotic rate ≥ 1 (n=10 (77%) in children

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vs. n=94 (66%) in adolescents; P=0.15) were not significantly different. There was no

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significant difference (P=0.26) in the frequency with which SNB was performed between

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children (n=7; 54%) and adolescent patients (n=54; 38%). Prepubertal patients had more

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10 186

often a positive SN than adolescent patients but this difference was not statistically

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significant (n=5 (71%) vs. n=18 (33%); P=0.09).

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Recurrence and survival

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Median follow-up time was 61 months (interquartile range 10–111 months). Melanoma

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recurrence occurred in 28 patients (18%) and 16 patients (10%) died of melanoma. Regional

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lymph nodes were the commonest site of first recurrence (19 patients), while five patients had

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their first recurrence at a distant site. All patients whose first recurrence was in a regional

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node had a negative SN. The time between diagnosis of the primary melanoma and first

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recurrence ranged from 3 months to 13 years. Five patients (31%) had a recurrence after

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more than five years. MSS at five years was 91% (95% confidence interval (CI) 86%-96%)

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and ten-year MSS was 88% (95% CI 81%–95%). Five-year RFS was 84% (95% CI 77%-

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90%) and ten-year RFS was 77% (95% CI 67%–86%). Table 2 shows the characteristics of

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the 16 patients who died of melanoma. One patient was 10 years old when her melanoma was

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diagnosed, while the other patients were adolescents. MSS and RFS were not significantly

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different between the two age groups (P=0.83 and P=0.54). Mitoses were present in the

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primary melanomas of 14 patients (88%) and two patients (13%) had melanomas with a

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Breslow thickness less than 1 mm. Ten patients received chemotherapy, while three patients

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received targeted therapy or immunotherapy.

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Prognostic factors

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On univariable analysis, Breslow thickness (P=0.001), mitotic rate (P<0.001), and melanoma

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subtype (P=0.04) were found to be significantly associated with RFS. Gender, age,

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ulceration, primary tumor site and SN status were not significantly associated with RFS.

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Figure 2 shows the RFS curves according to mitotic rate. On multivariable analysis including

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mitotic rate and Breslow thickness, mitotic rate correlated independently with RFS (hazard

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ratio (HR)=1.2; 95% CI 1.1–1.3), while Breslow thickness did not (HR=1.1; 95% CI 0.9–

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1.2). The univariable analysis indicated a significantly increased risk of melanoma-related

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death with increasing mitotic rate (P=0.001). The other covariates were not significantly

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associated with MSS (Table 3). Multivariable analysis could not be performed for MSS due

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to an insufficient number of events (16 melanoma-related deaths). Supplementary Table 1

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shows the univariable and multivariable analysis of RFS and MSS of adolescent patients.

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Discussion

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This single institutional cohort study shows that tumor mitotic rate is the most important

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independent prognostic factor for RFS in children and adolescents with clinically localized

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melanoma, with a marginally stronger influence than tumor thickness. Having accurate

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information about the mitotic rate of the primary melanoma could improve prognostic

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stratification and treatment planning for individual patients in these age groups. It is therefore

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important that this parameter is evaluated and recorded in all melanoma pathology reports.

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In adults, the prognostic importance of mitotic rate has been demonstrated in numerous large

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independent studies.3–7 Although mitotic rate was an essential part of the 7th edition of the

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American Joint Committee on Cancer (AJCC) melanoma staging system, it has been scarcely

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studied in childhood and adolescent melanoma.25 The rarity of melanoma in these patients,

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with an annual incidence rate of around five per million, is probably one of the main reasons

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for the lack of studies.26 Larger childhood and adolescent melanoma studies generally use

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data from the National Cancer Database or the Surveillance, Epidemiology, and End Results

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(SEER) database.2,13,15 Although valuable, these databases have several limitations. For

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instance, central pathology review is lacking, recurrence rates are not available, and details of

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12 236

key tumor characteristics such as Breslow thickness, ulceration and mitotic rate are

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frequently missing.

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Breslow thickness is the strongest prognostic feature in primary cutaneous melanoma in adult

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patients.27 Interestingly, Breslow thickness was not a significant predictor for melanoma-

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specific survival in our study of childhood and adolescent patients. A similar finding was also

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reported in a study based on the National Cancer Database.15 Another large multicenter study

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showed that primary tumor site and gender were independent prognostic factors for MSS,

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while mitotic rate and Breslow thickness were not.8 However, two prior studies did show that

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Breslow thickness was an independent predictor of recurrence.12,28

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On univariable analysis, MSS was significantly worse with increasing mitotic rate.

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Unfortunately, multivariable analysis could not be performed for MSS due to an insufficient

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number of events (16 melanoma-related deaths).29 In line with our results, three previous

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melanoma studies in young patients showed that the presence of mitoses was associated with

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an increased risk of metastasis on univariable analysis. However, when adjusted for other

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prognostic factors, this association was not seen, possibly due to the small sample sizes or the

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number of missing values in these studies.10,12,28 No significant effect on overall survival has

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been found.9,11

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In line with previous reports, childhood patients had thicker melanomas than adolescent

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patients in our study.11–13,18 The primary tumor location was also different for the two groups,

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with the head and neck sites being more common location in children while the trunk was the

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most frequent location in adolescents.13,15Melanoma patients in their late teens are sometimes

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inappropriately classified as children. Our results confirm that melanoma behaves differently

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in children and adolescents, but MSS and RFS were similar. In contrast, a previous study

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reported better survival for children.30 This may reflect the fact that cases reported as

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borderline tumors, such as atypical Spitz tumors, were specifically excluded in our study,

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whereas these may have been classified as melanoma in other studies.31

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Metastatic disease was identified in 38% of the patients who underwent SNB in our study.

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Previous studies had reported SN-positivity rates of between 18 and 50% in children and

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adolescents with melanoma.11,12,20,28,32–34 Contrary to previous studies, RFS and MSS were

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not significantly different for SN-positive and SN-negative patients in our study.14,18,20.

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Paradoxically, young patients have a higher incidence of SN-metastasis but a more favorable

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survival than adults.8,13,32 The reasons for this remain unclear but superior function of the

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immune system in younger patients has been proposed as a possible explanation.33 In

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childhood and adolescence, melanomas frequently resemble benign lesions, which makes

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them hard to diagnose both clinically and pathologically.34 Almost 50% of the melanomas in

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young adults do not fulfill the classic melanoma ABCD criteria.35 Recent genomic analysis

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showed that melanomas in adolescents and young adults harbor mutation patterns that differ

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from those in older patients.36

278 279

Five-year MSS was 91% in our study and five-year RFS was 84%. Several prior studies

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reported comparable survival rates with five-year MSS ranging from 89% to 97% and five-

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year RFS ranging from 68% to 90%.9,11,18,37,38 Of the 15 patients who died of melanoma and

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in whom mitotic rate was assessed, 10 had a tumor mitotic rate of <6/mm2. Five of the 28

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patients with recurrence (31%) did so after more than five years. As in adults, children and

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adolescents remain at risk of recurrence even after ten or more years.20,39 Childhood and

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adolescent patients are also twice as likely to develop a subsequent melanoma compared to

13

14 286

adult patients.40 This emphasizes the importance of continuing follow-up of patients who

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developed melanoma when they are young for more than the usual five years period

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recommended in the melanoma management guidelines of some countries.41

289 290

The strengths of our study include the relatively large cohort of patients. Furthermore,

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pathology slides of all patients were reviewed by experienced pathologists, increasing the

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reliability of the diagnosis and histological and staging data. There are also several

293

limitations affecting the study. Due to the moderate number of events, multivariable analysis

294

could not be performed for MSS and only mitotic rate and Breslow thickness could be

295

included in the multivariable analysis for RFS. Supplementary Table 2 shows the unstable

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multivariable analysis of RFS and MSS including Breslow thickness, mitotic rate and

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ulceration. Although all cases were reviewed by an MIA-affiliated pathologist, some

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histological parameters were missing. The pathology slides of some patients were not

299

available for re-assessment. Other limitations are the retrospective design, the arbitrary age

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cut-off that was used to separate children and adolescents, referral bias, and the short follow-

301

up of some patients.

302 303

In summary, our study indicates that mitotic rate is an important prognostic feature for RFS

304

in children and adolescents who develop melanoma, and it is therefore essential that this

305

parameter be assessed and reported in the primary tumors of all young melanoma patients.

306

Although mitotic rate was the only independent predictor of RFS, a larger study numbers is

307

required to confirm these results. By extrapolating the number of recurrences in our study,

308

approximately 500 children and adolescent patients would be needed to assess the prognostic

309

value of the other prognostic factors that are common in adults. A collaborative study of

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multiple melanoma centers would be needed.

311 14

15 312

Abbreviations

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SN: sentinel node; SNB: sentinel node biopsy; MIA: Melanoma Institute Australia; MSS:

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melanoma-specific survival; RFS: recurrence-free survival; HR: hazard ratio; CI: confidence

315

interval.

316

15

16 317

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Francken AB, Shaw HM, Thompson JF, et al. The prognostic importance of tumor

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446 447

21

22 448

Figure legend.

449

Figure 1. Melanoma - mitotic rates versus Breslow thickness of primary melanomas.

450

Figure 2. Melanoma - recurrence-free survival according to mitotic rate.

22

23 451

Table 1. Clinicopathological characteristics.

452 Characteristic

Gender Male Female Primary tumor site Head and neck Upper limb Lower limb Trunk Breslow thickness 0 – 1 mm 1.01 – 2 mm 2.01 – 4 mm >4 mm Median (interquartile range) Mitotic rate (per mm2) <1 ≥1 Missing Median (interquartile range) Ulceration, n (%) Absent Present Missing Tumor type Superficial spreading melanoma Nodular melanoma Spitzoid melanoma Other Missing Clark level II III IV V Missing Sentinel node biopsy Performed Not performed Sentinel node status Negative Positive Total no. of sentinel nodes - median

All patients (n = 156)

Childhood Adolescent P-value* patients (n patients (n = 13) = 143)

82 (53) 74 (47)

4 (31) 9 (69)

78 (55) 65 (45)

0.15

37 (24) 35 (22) 31 (20) 53 (34)

5 (38) 4 (31) 2 (15) 2 (15)

32 (22) 31 (22) 29 (20) 51 (36)

0.30

79 (51) 41 (26) 25 (16) 11 (7) 1.0 (1.3)

3 (23) 2 (15) 4 (31) 4 (31) 2.7 (3.8)

76 (53) 39 (27) 21 (15) 7 (5) 1.0 (1.1)

0.003

43 (28) 104 (67) 9 (6) 2 (5)

2 (15) 10 (77) 1 (8) 3 (5)

41 (29) 94 (66) 8 (6) 2 (4)

102 (65) 26 (17) 28 (18)

6 (46) 4 (31) 3 (23)

96 (67) 22 (15) 25 (17)

0.12

61 (39) 23 (15) 29 (19) 2 (1) 41 (26)

2 (15) 2 (15) 8 (62) 0 (0) 1 (8)

59 (41) 21 (15) 21 (15) 2 (1) 40 (28)

0.007

41 (26) 49 (31) 61 (39) 3 (2) 2 (1)

3 (23) 0 (0) 8 (62) 2 (15) 0 (0)

38 (27) 49 (34) 53 (37) 1(1) 2 (1)

0.001

61 (39) 95 (61)

7 (54) 6 (46)

54 (38) 89 (62)

0.26

38 (62) 23 (38) 3 (3)

2 (29) 5 (71) 1 (2)

36 (67) 18 (33) 3 (2)

0.09

0.002 0.51

0.15

0.05

23

24 (interquartile range) Recurrence Yes No Site of first recurrence Local In-transit Regional nodal Distant Last follow-up status No evidence of disease Alive with disease Died from disease Died from unknown cause Missing

28 (18) 128 (82)

1 (8) 12 (92)

28 (20) 115 (80)

0.46

1 (4) 3 (11) 19 (68) 5 (18)

1 (100) 0 (0) 0 (0) 0 (0)

0 3 (11) 19 (70) 5 (19)

0.04

135 (87) 2 (1) 16 (10) 2 (1) 1 (1)

12 (92) 0 (0) 1 (8) 0 (0) 0 (0)

123 (86) 2 (1) 15 (10) 2 (1) 1 (1)

1.0

453 454

Values in parentheses are percentages unless indicated otherwise; * comparison of children

455

and adolescent patients.

24

25 Table 2. Characteristics of patients who died of melanoma. Patient

Age

Gender

Site

Tumor type

Mitotic rate (/mm2)

Ulceration

SNB

CLND

Site of first recurrence

NM

Breslow thickness (mm) 2.7

In transit

Time until recurrence (months) 145

Time between recurrence and death (months) 40

1

17

Male

Lower limb

5

Absent

Positive

Negative

2

18

Male

Upper limb

SSM

1.6

14

Absent

Positive

Negative

Distant

17

4

3

16

Male

Trunk

NM

4.2

13

Present

Positive

Positive (1 node)

In transit

5

14

4

19

Male

Trunk

Unknown

1.5

4

Absent

Positive

Negative

Distant

102

16

5

19

Female

Head and neck

SSM

1.0

1

Absent

Negative

NA

Regional node

8

4

6

15

Female

Lower limb

Spitzoid

1.0

Unknown

Unknown

Not performed

NA

Regional node

130

35

7

16

Male

Trunk

NM

1.6

5

Present

Not performed

NA

Regional node

26

24

8

18

Female

Lower limb

NM

2.4

7

Absent

Not performed

NA

Regional node

17

20

9

18

Male

Upper limb

NM

3.3

13

Present

Not performed

NA

Regional node

8

13

10

19

Male

Trunk

NM

4.0

10

Present

Not performed

NA

Regional node

5

31

11

19

Male

Upper limb

SSM

1.1

1

Present

Not performed

NA

Regional node

107

14

12

19

Female

Trunk

SSM

1.7

2

Absent

Not

NA

Regional node

3

31

Treatment after recurrence

Isolated limb infusion Radiotherapy Local surgery Neurosurgery Chemotherapy Whole brain radiotherapy Chemotherapy Local surgery Radiotherapy Chemotherapy Radiotherapy Targeted therapy (dabrafenib) Immunotherapy (ipilimumab) Neck dissection Adjuvant radiotherapy Chemotherapy Inguinal lymph node dissection Radiotherapy Immunotherapy (ipilimumab) Targeted therapy (dabrafenib) Axillary lymph node dissection Chemotherapy Inguinal lymph node dissection Local surgery Chemotherapy Targeted therapy Axillary lymph node dissection Local surgery Radiotherapy Chemotherapy Axillary lymph node dissection Adjuvant radiotherapy Axillary lymph node dissection Adjuvant radiotherapy Chemotherapy Axillary lymph node

25

26 performed 13

18

Male

Trunk

Unknown

1.8

4

Unknown

Not performed

NA

Regional node

16

20

14

10

Female

Head and neck

NM

1.8

5

Unknown

Not performed

NA

Local

4

18

15

18

Male

Head and neck

SSM

0.4

0

Unknown

NA

Distant

156

59

16

18

Female

Trunk

SSM

0.9

3

Absent

Not performed Not performed

NA

Distant

42

20

dissection Further treatment is unknown Axillary lymph node dissection Adjuvant radiotherapy Metastasectomy No chemotherapy Neck dissection Adjuvant radiotherapy Chemotherapy Metastasectomy Further treatment is unknown Metastasectomy Radiotherapy Chemotherapy

SNB: sentinel node biopsy; CLND: completion lymph node dissection; SSM: superficial spreading melanoma; NM: nodular melanoma; NA: not applicable

26

27 Table 3. Univariable and multivariable analysis of recurrence-free survival and melanoma-specific survival.

Variables Gender Male Female Age (per 1 year increase) Breslow thickness (per 1 mm increase) Mitotic rate (per mm2) Ulceration Absent Present Primary tumor site Lower Limb Trunk Head and Neck Upper limb Tumor type Superficial spreading Nodular Spitzoid Other Sentinel node status Negative Positive

N 156

156 156 147 132

Recurrence-free survival Univariable HR (95% CI) P-value 0.28 1.0 (reference) 0.7 (0.3 – 1.4) 1.1 (0.9 – 1.2) 0.28 1.2 (1.1 – 1.4) 0.001 1.2 (1.1 – 1.3)

<0.001 0.24

1.0 (reference) 1.7 (0.7 – 4.3) 156

Multivariable HR (95% CI)

P-value

1.1 (0.9 – 1.2)

0.48

Melanoma-specific survival Univariable HR (95% CI) P-value 0.31 1.0 (reference) 0.6 (0.2 – 1.6) 1.1 (0.9 – 1.3) 0.46 1.1 (0.9 – 1.5) 0.30

1.2 (1.1 – 1.3)

0.005

1.3 (1.1 – 1.5) 1.0 (reference) 2.3 (0.7 – 7.3)

0.35 1.0 (reference) 1.0 (0.4 – 2.9) 1.7 (0.6 – 4.6) 0.6 (0.2 – 2.0)

115

0.48 1.0 (reference) 2.7 (0.6 – 11.1) 1.4 (0.3 – 7.4) 1.2 (0.2 – 6.1)

0.04 1.0 (reference) 2.9 (1.2 – 7.1) 0.6 (0.2 – 2.3) -

61

0.20 1.0 (reference) 2.3 (0.8 – 6.9) 0.3 (0 – 2.5) -

0.24 1.0 (reference) 2.8 (0.5 – 15.3)

0.001 0.16

0.08 1.0 (reference) 7.1 (0.8 – 64.2)

HR: hazard ratio; CI: confidence interval

27