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Figure 1 
Location of primary tumor in 178 melanoma patients.

Location of primary tumor in 178 melanoma patients.

Figure 2 
Depth of invasion in 178 melanoma patients.

Depth of invasion in 178 melanoma patients.

Figure 3 
Stage I melanomas in occult (light-shaded bars) and exposed (dark-shaded bars) body regions.

Stage I melanomas in occult (light-shaded bars) and exposed (dark-shaded bars) body regions.

Thickness of Primary Tumor
Thickness of Primary Tumor
1.
Clark  WH  JrFrom  LBernardino  EAMihm  MC The histogenesis and biologic behavior of primary human malignant melanoma of the skin.  Cancer Res. 1969;29705- 727Google Scholar
2.
Breslow  A Thickness, cross-sectional areas, and depth of invasion in the prognosis of cutaneous melanoma.  Ann Surg. 1970;172902- 908Google ScholarCrossref
3.
Mihm  MC  JrFitzpatrick  TBBrown  MMRaker  JWMalt  RAKaiser  JS Early detection of primary cutaneous malignant melanoma.  N Engl J Med. 1973;289989- 996Google ScholarCrossref
4.
Sober  AJFitzpatrick  TBMihm  MC  Jr  et al.  Early recognition of cutaneous melanoma.  JAMA. 1979;2422795- 2799Google ScholarCrossref
5.
Breslow  A Prognostic factors in the treatment of cutaneous melanoma.  J Cutan Pathol. 1979;6208- 212Google ScholarCrossref
6.
Balch  CMSoong  S-JMilton  GW A comparison of prognostic factors and surgical results in 1786 patients with localized melanoma treated in Alabama USA and New South Wales, Australia.  Ann Surg. 1982;196677- 684Google ScholarCrossref
7.
Rhodes  ARWeinstock  MAFitzpatrick  TBMihm  MC  JrSober  AJ Risk factors for cutaneous melanoma: a practical method of recognizing predisposed individuals.  JAMA. 1987;2583146- 3154Google ScholarCrossref
8.
Silverberg  ELubera  J Cancer statistics, 1987.  CA Cancer J Clin. 1987;372- 19Google ScholarCrossref
9.
Glass  AGHoover  RN The emerging epidemic of melanoma and squamous cell skin cancer.  JAMA. 1989;2622097- 2100Google ScholarCrossref
10.
Balch  CMSoong  SJMilton  GW  et al.  Changing trends in cutaneous melanoma over a quarter century in Alabama, USA, and New South Wales, Australia.  Cancer. 1983;521748- 1753Google ScholarCrossref
11.
Rogers  GSKopf  AWRigel  DS  et al.  Effect of anatomical location on prognosis in patients with clinical stage I melanoma.  Arch Dermatol. 1983;119644- 649Google ScholarCrossref
12.
Blois  MSSagebiel  RWAbarbanel  RMCaldwell  TMTuttle  MS Malignant melanoma of the skin, 1: the association of tumor depth and type, and patient age, sex and site with survival.  Cancer. 1983;521330- 1341Google ScholarCrossref
13.
Shaw  HMcGovern  VMilton  GWFarago  GAMcCarthy  WH Malignant melanoma: influence of site of lesion and age of patient in the female superiority in survival.  Cancer. 1980;462731- 2735Google ScholarCrossref
14.
Garbe  CButyner  PBertz  J  et al.  Primary cutaneous melanoma: identification of prognostic groups and estimation of individual prognosis for 5093 patients.  Cancer. 1995;752484- 2491Google ScholarCrossref
15.
Thorn  MAdami  HORingborg  UBergstrom  RKrusemo  U The association between anatomic site and survival in malignant melanoma: an analysis of 12,353 cases from the Swedish Cancer Registry.  Eur J Cancer Clin Oncol. 1989;25483- 491Google ScholarCrossref
16.
Day  CLMihm  MCSober  AJ  et al.  Prognostic factors for melanoma patients with lesions 0.76 to 1.69 mm in thickness.  Ann Surg. 1982;19530- 34Google ScholarCrossref
17.
Weinstock  MAMorris  BTLederman  JS  et al.  Effect of BANS location on the prognosis of clinical stage I melanoma.  Br J Dermatol. 1987;116303- 310Google ScholarCrossref
18.
Gutman  MKlausner  JMInbar  MSkornick  MBaratz  MRozin  RR Acral (volar subungual) melanoma.  Br J Surg. 1985;72610- 613Google ScholarCrossref
19.
Day  CASober  AJKopf  AW  et al.  A prognostic model for clinical stage I melanoma of the lower extremity: location on foot as independent risk factor for recurrent disease.  Surgery. 1981;89599- 603Google Scholar
20.
Clark  WHElder  DEGuerry  D  et al.  Model predicting survival in stage I melanoma based on tumor progression.  J Natl Cancer Inst. 1989;811893- 1904Google ScholarCrossref
21.
Schuchter  LSchultz  DJSynnestvedt  M  et al.  A prognostic model for predicting 10-year survival in patients with primary melanoma.  Ann Intern Med. 1996;125369- 375Google ScholarCrossref
22.
Soong  S-J A computerized mathematical model and scoring system for predicting outcome in patients with localized melanoma. Balch  CMHoughton  ANMilton  GWSober  ASoong  S-Jeds. Cutaneous Melanoma. Philadelphia, Pa JB Lippincott Co1992;200Google Scholar
23.
Roush  GCSchymura  MJHolford  TR Risk for cutaneous melanoma in recent Connecticut birth cohorts.  Am J Public Health. 1985;75679- 682Google ScholarCrossref
Original Article
February 1999

Anatomic Site of Primary Melanoma Is Associated With Depth of Invasion

Author Affiliations

From the Department of Surgery, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Arch Surg. 1999;134(2):148-150. doi:10.1001/archsurg.134.2.148
Abstract

Background  The prognosis of melanoma is correlated to the stage of the primary lesion. Tumor site has also been implicated, with locations such as the trunk carrying a worse prognosis than others (such as limbs).

Hypothesis  To determine if tumor thickness correlates with location in a nonvisible body area.

Design and Setting  Retrospective medical record review of all patients with stage I melanoma treated in our medical center between 1986 and 1994. Demographic data as well as primary tumor characteristics were recorded.

Methods  The skin's surface was divided into occult and exposed areas. Exposed indicated visible to the patient during routine activities; occult areas included posterior aspect of the neck, back, posterior aspect of the thigh, calf, and plantar region. Data were analyzed for significance using the χ2 test.

Results  Of the 178 patients with stage I melanoma analyzed, 51.1% had limb, 35.9% trunk, and 12.9% head and neck lesions. Depth of invasion was less than 0.76 mm in 32.6%, 0.76 to 1.5 mm in 25.2%, and more than 4 mm in 7.9%. In 87 patients the tumor occurred in occult areas and in 91 patients in exposed areas. Comparing the depth of invasion in these 2 groups disclosed that thin (<0.76 mm) melanomas occurred in 20.7% of occult areas compared with 44% of exposed areas (P<.05). Deeper melanomas (>2.50 mm) occurred in 28.7% of occult areas compared with 12.1% of exposed areas (P<.05).

Conclusions  Tumors in less-visible body areas are significantly thicker at the time of diagnosis than those occurring in more highly visible areas. Delayed detection may be responsible for this finding.

MALIGNANT melanoma was once named "the fatal black tumor" owing to its totally unpredictable biological behavior. However, since the introduction of microstaging methods by Clark et al1 and Breslow,2 more accurate predictions can be made regarding prognosis.3-6 Numerous studies have shown that while thin (<1.25 mm) melanomas are considered curable by simple excision alone, deeply invasive lesions have probably metastasized by the time of diagnosis.7

The high curability rate of early melanoma has increased public awareness to the issue of their early detection, and although the incidence of melanoma is rising faster than that of any other cancer,8,9 an increasing number of patients are being diagnosed at an early stage.10

Other than depth of invasion of the primary lesion, one tumor characteristic that has been suggested as an independent prognostic factor is body location.11-17 It has long been known that for some locations, such as the trunk, the prognosis is worse than for limb lesions.18,19 However, whether these differences are due to the tumor's biological behavior or simply to the time of diagnosis, meaning that lesions located in less-visible body regions are diagnosed late and therefore carry a worse prognosis, has not been investigated. Our study was designed to answer this question.

Patients and methods

The medical records of all patients with stage I cutaneous melanoma treated at the Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, between 1986 and 1994 were retrospectively analyzed. Patients with multiple primary tumors or those with incomplete records of their primary tumor were excluded. The data included age, sex, tumor site, and microstaging according to Breslow.2

The skin's surface was divided into occult and exposed areas. Occult areas referred to those body regions not visible to patients during normal activities and included the scalp and posterior aspect of the neck, back, posterior aspect of the thigh, posterior aspect of the calf, foot (plantar aspect), and posterior aspect of the arm. Exposed areas included the face and anterior aspect of the neck, chest and abdomen, anterior aspect of the thigh (including medial and lateral aspects), anterior aspect of the calf and foot (ventral), arm (ventral), forearm, and hand.

These data were analyzed for significance using the χ2 test.

Results

One hundred seventy-eight patients with stage I melanoma were analyzed. There were 95 men (53.4%) and 83 women (46.6%). The average age was 57 years (range, 14-81 years). In 91 patients (51.1%) the melanoma occurred in the limb, in 64 (35.9%) in the trunk, and in 23 (12.9%) in the neck and head region (Figure 1). The depth of invasion was less than 0.76 mm in 32.6% of patients, 0.76 to 1.49 mm in 25.2%, 1.5 to 2.4 mm in 21.9%, 2.5 to 3.99 mm in 12.3%, and more than 4 mm in 7.9% (Table 1 and Figure 2).

An analysis of tumor site according to a patient's ability to see it disclosed that in 87 patients the lesion was located in occult areas, while in 91 it was diagnosed on exposed body regions (Figure 1). Comparing the depth of invasion in these 2 groups of patients disclosed that 20.7% of melanomas occurring in occult areas were less than 0.75 mm, as compared with 44% in exposed areas (P<.05). In the deeply invasive groups, (2.50-3.99 and >4.0 mm), 28.7% occurred in occult and only 12.1% in exposed areas of the body (P<.05) (Figure 3). In melanomas measuring 0.76 to 2.49 mm, there was no significant difference between exposed and occult body regions (Figure 3). These differences were more pronounced in women; 15.6% of tumors measuring less than 0.75 mm were found in occult areas as compared with 46.2% in exposed body regions. In the deep (>4 mm) group, 18.8% were in occult areas and only 1.9% in exposed body regions (P<.05).

An analysis of the data according to the various body regions disclosed that in half of the exposed regions, there was no single lesion measuring more than 2.5 mm in depth, while there were such lesions in each of the occult regions (Table 1).

Comment

Early detection plays a pivotal role in the management of malignant melanoma. Patients diagnosed with thin lesions are usually cured by surgery alone, while those with deep lesions frequently develop metastases.7 Melanoma usually arises on a cutaneous surface. It is an unusual example of a potentially fatal neoplasm that is often visible to the naked eye. However, not all body regions are equally visible during routine daily activities. In this study, we have demonstrated that tumors presenting in occult body regions have a greater average Breslow thickness. This finding helps explain the worse prognosis associated with certain anatomic locations.

The body location of the primary tumor in melanoma has long been recognized as an important prognostic factor.11-19 Although some studies have shown in a mathematical model that once tumor thickness and ulceration are determined other tumor characteristics such as location lose their significance,20,21 others, using multivariant analysis, have shown that tumor location is an independent prognostic factor22 with trunk lesions considered to have a poorer prognosis than limb lesions. Many studies have addressed this issue but, except for tumors occurring in the plantar or palmar skin, which have an especially poor prognosis,18 the differences in prognosis could not be explained.

Our study offers a partial explanation for the different site-related prognoses of melanoma. The fact that melanoma occurring in occult body regions were thicker implies that delay in diagnosis may be responsible for the worse prognosis of tumors in these locations. A prospective study involving a large group of patients who receive skin cancer screening at regular intervals would help to answer this question.

Skin cancer screening programs, which include examination of nonvisible body regions, have the potential to decrease the morbidity and mortality associated with late detection. Because approximately 1% of the population will develop melanoma,23 public education regarding self-examination of the skin and screening conducted by trained professionals should be emphasized.

Corresponding author: Mordechai Gutman, MD, Surgical Unit for Regional Chemotherapy, Department of Surgery, Tel Aviv Sourasky Medical Center, 6 Weizmann St, Tel Aviv 64239, Israel.

References
1.
Clark  WH  JrFrom  LBernardino  EAMihm  MC The histogenesis and biologic behavior of primary human malignant melanoma of the skin.  Cancer Res. 1969;29705- 727Google Scholar
2.
Breslow  A Thickness, cross-sectional areas, and depth of invasion in the prognosis of cutaneous melanoma.  Ann Surg. 1970;172902- 908Google ScholarCrossref
3.
Mihm  MC  JrFitzpatrick  TBBrown  MMRaker  JWMalt  RAKaiser  JS Early detection of primary cutaneous malignant melanoma.  N Engl J Med. 1973;289989- 996Google ScholarCrossref
4.
Sober  AJFitzpatrick  TBMihm  MC  Jr  et al.  Early recognition of cutaneous melanoma.  JAMA. 1979;2422795- 2799Google ScholarCrossref
5.
Breslow  A Prognostic factors in the treatment of cutaneous melanoma.  J Cutan Pathol. 1979;6208- 212Google ScholarCrossref
6.
Balch  CMSoong  S-JMilton  GW A comparison of prognostic factors and surgical results in 1786 patients with localized melanoma treated in Alabama USA and New South Wales, Australia.  Ann Surg. 1982;196677- 684Google ScholarCrossref
7.
Rhodes  ARWeinstock  MAFitzpatrick  TBMihm  MC  JrSober  AJ Risk factors for cutaneous melanoma: a practical method of recognizing predisposed individuals.  JAMA. 1987;2583146- 3154Google ScholarCrossref
8.
Silverberg  ELubera  J Cancer statistics, 1987.  CA Cancer J Clin. 1987;372- 19Google ScholarCrossref
9.
Glass  AGHoover  RN The emerging epidemic of melanoma and squamous cell skin cancer.  JAMA. 1989;2622097- 2100Google ScholarCrossref
10.
Balch  CMSoong  SJMilton  GW  et al.  Changing trends in cutaneous melanoma over a quarter century in Alabama, USA, and New South Wales, Australia.  Cancer. 1983;521748- 1753Google ScholarCrossref
11.
Rogers  GSKopf  AWRigel  DS  et al.  Effect of anatomical location on prognosis in patients with clinical stage I melanoma.  Arch Dermatol. 1983;119644- 649Google ScholarCrossref
12.
Blois  MSSagebiel  RWAbarbanel  RMCaldwell  TMTuttle  MS Malignant melanoma of the skin, 1: the association of tumor depth and type, and patient age, sex and site with survival.  Cancer. 1983;521330- 1341Google ScholarCrossref
13.
Shaw  HMcGovern  VMilton  GWFarago  GAMcCarthy  WH Malignant melanoma: influence of site of lesion and age of patient in the female superiority in survival.  Cancer. 1980;462731- 2735Google ScholarCrossref
14.
Garbe  CButyner  PBertz  J  et al.  Primary cutaneous melanoma: identification of prognostic groups and estimation of individual prognosis for 5093 patients.  Cancer. 1995;752484- 2491Google ScholarCrossref
15.
Thorn  MAdami  HORingborg  UBergstrom  RKrusemo  U The association between anatomic site and survival in malignant melanoma: an analysis of 12,353 cases from the Swedish Cancer Registry.  Eur J Cancer Clin Oncol. 1989;25483- 491Google ScholarCrossref
16.
Day  CLMihm  MCSober  AJ  et al.  Prognostic factors for melanoma patients with lesions 0.76 to 1.69 mm in thickness.  Ann Surg. 1982;19530- 34Google ScholarCrossref
17.
Weinstock  MAMorris  BTLederman  JS  et al.  Effect of BANS location on the prognosis of clinical stage I melanoma.  Br J Dermatol. 1987;116303- 310Google ScholarCrossref
18.
Gutman  MKlausner  JMInbar  MSkornick  MBaratz  MRozin  RR Acral (volar subungual) melanoma.  Br J Surg. 1985;72610- 613Google ScholarCrossref
19.
Day  CASober  AJKopf  AW  et al.  A prognostic model for clinical stage I melanoma of the lower extremity: location on foot as independent risk factor for recurrent disease.  Surgery. 1981;89599- 603Google Scholar
20.
Clark  WHElder  DEGuerry  D  et al.  Model predicting survival in stage I melanoma based on tumor progression.  J Natl Cancer Inst. 1989;811893- 1904Google ScholarCrossref
21.
Schuchter  LSchultz  DJSynnestvedt  M  et al.  A prognostic model for predicting 10-year survival in patients with primary melanoma.  Ann Intern Med. 1996;125369- 375Google ScholarCrossref
22.
Soong  S-J A computerized mathematical model and scoring system for predicting outcome in patients with localized melanoma. Balch  CMHoughton  ANMilton  GWSober  ASoong  S-Jeds. Cutaneous Melanoma. Philadelphia, Pa JB Lippincott Co1992;200Google Scholar
23.
Roush  GCSchymura  MJHolford  TR Risk for cutaneous melanoma in recent Connecticut birth cohorts.  Am J Public Health. 1985;75679- 682Google ScholarCrossref
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