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Marital Status and Stage at Diagnosis of Invasive Melanoma of the Skin

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Histology of superficial spreading and lentigo, versus nodular and acral lentiginous ... Lentigo Melanoma. Usually least common, ... Lentigo. Nodular. SS1. Males ... – PowerPoint PPT presentation

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Title: Marital Status and Stage at Diagnosis of Invasive Melanoma of the Skin


1
Marital Status and Stage at Diagnosis of Invasive
Melanoma of the Skin
  • James (Jay) L. Fisher, Ph.D.
  • Comprehensive Cancer Center and
  • James Cancer Hospital at
  • The Ohio State University

2
Background
  • Marriage provides a prognostic advantage to those
    with cancer, including invasive melanoma of the
    skin.
  • May result from immunologic benefit of
    psycho-social support associated with marriage or
    from encouragement to follow through with
    diagnosis.
  • Spouses may identify suspicious or changing nevi
    (moles) or nevi on areas of the body not easily
    or routinely viewed by one's self.
  • Supported by anecdotal stories and by 1 recent
    study of marital status and stage at diagnosis of
    melanoma among older (ages 65) individuals.

3
Goal
  • To determine whether single, separated/divorced
    and widowed individuals are more likely to
    present with late stage melanoma, as compared to
    married individuals, and to determine whether
    associations are dependent on
  • Sex
  • Age at diagnosis
  • Year of Diagnosis
  • Histology
  • Anatomic location.

4
Non-treatment Factors Related to Favorable
Melanoma Prognosis
  • Female sex
  • Younger age at diagnosis
  • White race
  • Localized stage at diagnosis
  • Histology of superficial spreading and lentigo,
    versus nodular and acral lentiginous
  • Anatomic location of limb, compared to trunk
  • Characteristics of lesion (e.g. lower levels of
    thickness)

5
5-Year Melanoma Survival Probability by Stage at
Diagnosis, 1996-2004
Source SEER Cancer Statistics Review,
1975-2005, National Cancer Institute, 2008 Based
on SEER 17 areas.
6
5-Year Melanoma Survival Probability by Marital
Status, 1996-2004
Source SEERStat 6.4.3, 2008 Based on SEER 17
areas.
7
Methods Data Source
  • Surveillance, Epidemiology, and End Results
    (SEER) Program Database, 17 Regions, National
    Cancer Institute
  • Data accessed using SEERStat 6.4.3 (Released
    April 2008)
  • Years of diagnosis 1973-2005
  • SEER Historic Stage A used for stage at diagnosis
  • in situ cases excluded from outset
  • Early stage characterized as localized stage
  • Late stage characterized as regional and distant
    stages combined
  • Marital Status at Diagnosis was categorized as
  • Married
  • Single/Never Married
  • Separated/Divorced
  • Widowed

8
Methods Exclusions
  • Age at Diagnosis
  • Younger than 25 years of age (n 5,005)
  • SEER Historic Stage A
  • Unknown (n 8,728)
  • Marital Status
  • Unknown (n 32,256)
  • 121,506 melanoma cases remained after exclusions

9
Methods Design and Statistical Analyses
  • Case-control Study
  • Cases defined as persons with late stage
    melanoma.
  • Controls defined as persons with early stage
    melanoma.
  • Logistic Regression
  • Used to determine odds of specified marital
    status according to case status (case, control).
  • Odds ratios (ORs) estimate relative risks.
  • An OR gt 1.0 means individuals with a specified
    marital status are more likely to be cases.
  • Hypotheses determined a priori.
  • Alpha set at 0.05 for 2-tailed hypothesis tests.
  • Potential Confounder
  • Age at diagnosis (controlled by inclusion in a
    multivariate model).

10
Methods Design and Statistical Analyses
  • Potential Effect Modifiers
  • Sex
  • Age at diagnosis
  • Year of diagnosis
  • Histology
  • Anatomic location
  • Effect modification assessed by stratification of
    regressions.
  • Statistical analyses were conducted using SAS
    9.1.

11
Marital Status at Melanoma Diagnosis by Sex and
Stage at Diagnosis
12
Crude and Age-adjusted ORs and 95CIs Estimating
Risk of Late Stage (versus Early Stage) Melanoma
According to Marital Status by Sex
13
Age-Adjusted ORs and 95CIs Estimating Risk of
Late Stage Melanoma According to Marital Status
by Age of Diagnosis Among Males
14
Age-Adjusted ORs and 95CIs Estimating Risk of
Late Stage Melanoma According to Marital Status
by Age at Diagnosis Among Females
15
Major Histologic Types of Melanoma
  • Superficial Spreading Melanoma
  • Most common type, 70 Often found on legs and
    trunk Good prognosis.
  • Nodular melanoma
  • Second most common type, 15-20 Commonly occurs
    on trunk Generally poor prognosis.
  • Lentigo Melanoma
  • Usually least common, 4-10 Generally good
    prognosis.
  • Acral Lentiginous Melanoma
  • Most common type among darkly-pigmented people,
    60 only 2-8 of all melanomas Prognosis
    between superficial spreading and nodular.

16
Age-Adjusted ORs and 95CIs Estimating Risk of
Late Stage Melanoma According to Marital Status
by Histology Among Males
1. Superficial Spreading 2. Acral Lentiginous
17
Age-Adjusted ORs and 95CIs Estimating Risk of
Late Stage Melanoma According to Marital Status
by Histology Among Females
1. Superficial Spreading 2. Acral Lentiginous
18
Anatomic Location
  • Individuals with melanomas located on areas of
    the body not easily or routinely viewed by ones
    self may benefit more as the result of early
    spousal recognition.
  • Ideal comparison would be easily visible areas of
    the body versus areas not easily visible (e.g.
    posterior versus anterior areas). However, this
    information is not available.
  • These groupings of anatomic locations were used
  • face/head/scalp/neck
  • trunk
  • upper limb/shoulder
  • lower limb/hip

19
Age-Adjusted ORs and 95CIs Estimating Risk of
Late Stage Melanoma According to Marital Status
by Anatomic Location Among Males
20
Age-Adjusted ORs and 95CIs Estimating Risk of
Late Stage Melanoma According to Marital Status
by Anatomic Location Among Females
21
Summary of Findings
  • Marriage affords the advantage of diagnosis at an
    earlier stage.
  • Associations between late stage melanoma and
    single marital status were stronger among males
    associations with separated/divorced and widowed
    were stronger among females.
  • No clear increasing/decreasing trend in late
    stage melanoma with age for any non-married
    marital status.
  • For males, being single was associated with late
    stage superficial spreading and nodular melanoma
    for females, being both single and widowed were
    associated with late stage nodular melanoma.
  • No anatomic location for which associations with
    late stage melanoma were strongest/weakest for
    each non-married marital status.

22
Alternative Explanations Pertaining to Melanoma
Prognosis According to Marital Status
  • Alternative explanations pertaining to melanoma
    prognosis according to marital status
  • Higher income and health insurance among the
    married
  • Psychological stress among the non-married
  • Reduced immunologic response to melanoma among
    the widowed
  • Lower quality care among older widows.

23
Limitations
  • Inability to examine late stage melanoma among
    monogamously coupled, yet unmarried, individuals
  • No knowledge of length of marital status at time
    of diagnosis
  • High proportion of unknown marital status (20)
  • Possible uncontrolled confounding (or
    explanation) by factors associated with marriage
    (e.g. socioeconomic factors, physical appearance,
    personality characteristics)

24
The Point
  • Because melanoma incidence is rapidly increasing
    and because localized melanoma has a very
    favorable prognosis, it is important to identify
    groups at greater risk of late stage melanoma.
  • Marriage affords a melanoma survival benefit due,
    at least in part, to earlier stage at diagnosis.
  • Unmarried individuals should be targeted in skin
    screening programs and educational efforts to
    improve early detection of melanoma.

25
Co-authors
  • Holly L. Engelhardt, M.S.
  • Cancer Epidemiologist, Ohio Cancer Incidence
    Surveillance System, Ohio Department of Health
  • Julie A. Stephens, M.S.
  • Senior Consulting Research Statistician, Center
    for Biostatistics, The Ohio State University
  • Robert W. Indian, M.S.
  • Chief, Chronic Disease and Behavioral
    Epidemiology Section, Ohio Department of Health
  • Electra D. Paskett, Ph.D.
  • Marion N. Rowley Professor of Cancer Research,
    Division of Epidemiology, College of Public
    Health Associate Director of Population Sciences
    and Program Co-Leader, Cancer Control Program,
    Comprehensive Cancer Center, The Ohio State
    University

26
Questions? Contact Information Jay.Fisher_at_osumc.
edu (614) 293-9644
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