Skip to main content

Staging and Classification of Melanoma

  • Chapter
  • First Online:
Melanoma

Abstract

Cutaneous melanoma is staged according to the TNM-based American Joint Committee of Cancer staging system. Primary tumor thickness (also termed Breslow thickness) and ulceration constitute the T (tumor) category and are important risk factors for survival in both localized and regionally advanced disease. The pathological status of the regional nodal basins is a powerful prognostic factor in cutaneous melanoma and comprises a major component of the N (nodal) category. Sentinel lymph node biopsy is a commonly employed staging technique to assess the status of the clinically negative regional nodal basin and contributes to N category assessment. Non-nodal regional metastases (e.g., satellites, microsatellites, and in-transit metastases) are also components of the N category and along with nodal status constitute stage III disease. Patients with distant (stage IV) disease constitute the M (metastasis) category and are categorized according to the site(s) of distant metastasis: skin/subcutaneous/distant nodal tissue, lung, non-pulmonary/non-CNS visceral, and central nervous system. Serum lactate dehydrogenase level is included in the M category and has been shown to be prognostically significant in patients with stage IV disease. Novel factors that evaluate the immunologic or molecular profile of primary melanoma, metastases, or host may further risk stratify patients beyond classic TNM-based staging. Clinical predictive models that account for multiple clinical and pathological factors may provide a more accurate approach to individualized risk assessment for a given patient and constitute an area of active focus and evolution.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gershenwald JE, Scolyer RA, Hess KR, Thompson JF, Long GV, Ross MI, et al. Melanoma of the skin. In: Amin MB, Edge SB, Greene FL, Byrd DR, Brookland RK, Washington MK, et al., editors. AJCC cancer staging manual. 8th ed. New York: Springer; 2017.

    Google Scholar 

  2. Breslow A. Thickness, cross-sectional areas and depth of invasion in the prognosis of cutaneous melanoma. Ann Surg. 1970;172(5):902–8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  3. Clark WH Jr, From L, Bernardino EA, Mihm MC. The histogenesis and biologic behavior of primary human malignant melanomas of the skin. Cancer Res. 1969;29(3):705–27.

    PubMed  Google Scholar 

  4. Breslow A. Tumor thickness, level of invasion and node dissection in stage I cutaneous melanoma. Ann Surg. 1975;182(5):572–5.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Ge L, Vilain RE, Lo S, Aivazian K, Scolyer RA, Thompson JF. Breslow thickness measurements of melanomas around American Joint Committee on Cancer staging cut-off points: imprecision and terminal digit bias have important implications for staging and patient management. Ann Surg Oncol. 2016;23(8):2658–63.

    Article  PubMed  Google Scholar 

  6. Balch CM, Gershenwald JE, Soong SJ, Thompson JF, Atkins MB, Byrd DR, et al. Final version of 2009 AJCC melanoma staging and classification. J Clin Oncol. 2009;27(36):6199–206.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Thompson JF, Soong SJ, Balch CM, Gershenwald JE, Ding S, Coit DG, et al. Prognostic significance of mitotic rate in localized primary cutaneous melanoma: an analysis of patients in the multi-institutional American Joint Committee on Cancer melanoma staging database. J Clin Oncol. 2011;29(16):2199–205.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Balch CM, Gershenwald JE, Soong SJ, Thompson JF, Ding S, Byrd DR, et al. Multivariate analysis of prognostic factors among 2313 patients with stage III melanoma: comparison of nodal micrometastases versus macrometastases. J Clin Oncol. 2010;28(14):2452–9.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kimsey TF, Cohen T, Patel A, Busam KJ, Brady MS. Microscopic satellitosis in patients with primary cutaneous melanoma: implications for nodal basin staging. Ann Surg Oncol. 2009;16(5):1176–83.

    Article  PubMed  Google Scholar 

  10. Bartlett EK, Gupta M, Datta J, Gimotty PA, Guerry D, Xu X, et al. Prognosis of patients with melanoma and microsatellitosis undergoing sentinel lymph node biopsy. Ann Surg Oncol. 2014;21(3):1016–23.

    Article  PubMed  Google Scholar 

  11. Balch CM, Soong SJ, Murad TM, Smith JW, Maddox WA, Durant JR. A multifactorial analysis of melanoma. IV. Prognostic factors in 200 melanoma patients with distant metastases (stage III). J Clin Oncol. 1983;1(2):126–34.

    Article  PubMed  CAS  Google Scholar 

  12. Barth A, Wanek LA, Morton DL. Prognostic factors in 1521 melanoma patients with distant metastases. J Am Coll Surg. 1995;181(3):193–201.

    PubMed  CAS  Google Scholar 

  13. Bowen GM, Chang AE, Lowe L, Hamilton T, Patel R, Johnson TM. Solitary melanoma confined to the dermal and/or subcutaneous tissue: evidence for revisiting the staging classification. Arch Dermatol. 2000;136(11):1397–9.

    Article  PubMed  CAS  Google Scholar 

  14. de Waal AC, Aben KK, van Rossum MM, Kiemeney LA. Melanoma of unknown primary origin: a population-based study in the Netherlands. Eur J Cancer. 2013;49(3):676–83.

    Article  PubMed  Google Scholar 

  15. Velez A, Walsh D, Karakousis CP. Treatment of unknown primary melanoma. Cancer. 1991;68(12):2579–81.

    Article  PubMed  CAS  Google Scholar 

  16. Anbari KK, Schuchter LM, Bucky LP, Mick R, Synnestvedt M, Guerry D, et al. Melanoma of unknown primary site: presentation, treatment, and prognosis--a single institution study. University of Pennsylvania Pigmented Lesion Study Group. Cancer. 1997;79(9):1816–21.

    Article  PubMed  CAS  Google Scholar 

  17. Cormier JN, Xing Y, Feng L, Huang X, Davidson L, Gershenwald JE, et al. Metastatic melanoma to lymph nodes in patients with unknown primary sites. Cancer. 2006;106(9):2012–20.

    Article  PubMed  Google Scholar 

  18. Prens SP, van der Ploeg AP, van Akkooi AC, van Montfort CA, van Geel AN, de Wilt JH, et al. Outcome after therapeutic lymph node dissection in patients with unknown primary melanoma site. Ann Surg Oncol. 2011;18(13):3586–92.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Lee CC, Faries MB, Wanek LA, Morton DL. Improved survival after lymphadenectomy for nodal metastasis from an unknown primary melanoma. J Clin Oncol. 2008;26(4):535–41.

    Article  PubMed  Google Scholar 

  20. Weide B, Faller C, Elsasser M, Buttner P, Pflugfelder A, Leiter U, et al. Melanoma patients with unknown primary site or nodal recurrence after initial diagnosis have a favourable survival compared to those with synchronous lymph node metastasis and primary tumour. PLoS One. 2013;8(6):e66953.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. van der Ploeg AP, Haydu LE, Spillane AJ, Scolyer RA, Quinn MJ, Saw RP, et al. Melanoma patients with an unknown primary tumor site have a better outcome than those with a known primary following therapeutic lymph node dissection for macroscopic (clinically palpable) nodal disease. Ann Surg Oncol. 2014;21(9):3108–16.

    Article  PubMed  Google Scholar 

  22. Smoller BR, Balch CB, Balzer BL, Crowson AN, Didolkar M, Lazar A, et al. Protocol for the examination of specimens from patients with melanoma of the skin: College of American Pathologists; 2016 [updated January 2016; cited 2016 4/12/2016]. 3.4.0.0. http://www.cap.org/web/home/resources/cancer-reporting-tools/cancer-protocol-templates.

  23. Kashani-Sabet M, Sagebiel RW, Ferreira CM, Nosrati M, Miller JR 3rd. Vascular involvement in the prognosis of primary cutaneous melanoma. Arch Dermatol. 2001;137(9):1169–73.

    Article  PubMed  CAS  Google Scholar 

  24. Straume O, Akslen LA. Lymphatic vessel density and prognosis in cutaneous melanoma. Br J Cancer. 2004;91(6):1224–5.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  25. Nagore E, Oliver V, Botella-Estrada R, Moreno-Picot S, Insa A, Fortea JM. Prognostic factors in localized invasive cutaneous melanoma: high value of mitotic rate, vascular invasion and microscopic satellitosis. Melanoma Res. 2005;15(3):169–77.

    Article  PubMed  Google Scholar 

  26. Egger ME, Gilbert JE, Burton AL, McMasters KM, Callender GG, Quillo AR, et al. Lymphovascular invasion as a prognostic factor in melanoma. Am Surg. 2011;77(8):992–7.

    PubMed  Google Scholar 

  27. Storr SJ, Safuan S, Mitra A, Elliott F, Walker C, Vasko MJ, et al. Objective assessment of blood and lymphatic vessel invasion and association with macrophage infiltration in cutaneous melanoma. Mod Pathol. 2012;25(4):493–504.

    Article  PubMed  Google Scholar 

  28. Xu X, Chen L, Guerry D, Dawson PR, Hwang WT, VanBelle P, et al. Lymphatic invasion is independently prognostic of metastasis in primary cutaneous melanoma. Clin Cancer Res. 2012;18(1):229–37.

    Article  PubMed  Google Scholar 

  29. Taylor RC, Patel A, Panageas KS, Busam KJ, Brady MS. Tumor-infiltrating lymphocytes predict sentinel lymph node positivity in patients with cutaneous melanoma. J Clin Oncol. 2007;25(7):869–75.

    Article  PubMed  Google Scholar 

  30. Burton AL, Roach BA, Mays MP, Chen AF, Ginter BA, Vierling AM, et al. Prognostic significance of tumor infiltrating lymphocytes in melanoma. Am Surg. 2011;77(2):188–92.

    PubMed  Google Scholar 

  31. Azimi F, Scolyer RA, Rumcheva P, Moncrieff M, Murali R, McCarthy SW, et al. Tumor-infiltrating lymphocyte grade is an independent predictor of sentinel lymph node status and survival in patients with cutaneous melanoma. J Clin Oncol. 2012;30(21):2678–83.

    Article  PubMed  Google Scholar 

  32. Thomas NE, Busam KJ, From L, Kricker A, Armstrong BK, Anton-Culver H, et al. Tumor-infiltrating lymphocyte grade in primary melanomas is independently associated with melanoma-specific survival in the population-based genes, environment and melanoma study. J Clin Oncol. 2013;31(33):4252–9.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Schatton T, Scolyer RA, Thompson JF, Mihm MC Jr. Tumor-infiltrating lymphocytes and their significance in melanoma prognosis. Methods Mol Biol. 2014;1102:287–324.

    Article  PubMed  CAS  Google Scholar 

  34. Quinn MJ, Crotty KA, Thompson JF, Coates AS, O'Brien CJ, McCarthy WH. Desmoplastic and desmoplastic neurotropic melanoma: experience with 280 patients. Cancer. 1998;83(6):1128–35.

    Article  PubMed  CAS  Google Scholar 

  35. Morton DL, Wen DR, Wong JH, Economou JS, Cagle LA, Storm FK, et al. Technical details of intraoperative lymphatic mapping for early stage melanoma. Arch Surg. 1992;127(4):392–9.

    Article  PubMed  CAS  Google Scholar 

  36. Gershenwald JE, Thompson W, Mansfield PF, Lee JE, Colome MI, Tseng CH, et al. Multi-institutional melanoma lymphatic mapping experience: the prognostic value of sentinel lymph node status in 612 stage I or II melanoma patients. J Clin Oncol. 1999;17(3):976–83.

    Article  PubMed  CAS  Google Scholar 

  37. Ross MI, Reintgen D, Balch CM. Selective lymphadenectomy: emerging role for lymphatic mapping and sentinel node biopsy in the management of early stage melanoma. Semin Surg Oncol. 1993;9(3):219–23.

    PubMed  CAS  Google Scholar 

  38. Reintgen D, Cruse CW, Wells K, Berman C, Fenske N, Glass F, et al. The orderly progression of melanoma nodal metastases. Ann Surg. 1994;220(6):759–67.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. Thompson JF, McCarthy WH, Bosch CM, O'Brien CJ, Quinn MJ, Paramaesvaran S, et al. Sentinel lymph node status as an indicator of the presence of metastatic melanoma in regional lymph nodes. Melanoma Res. 1995;5(4):255–60.

    Article  PubMed  CAS  Google Scholar 

  40. Balch CM, Buzaid AC, Soong SJ, Atkins MB, Cascinelli N, Coit DG, et al. Final version of the American Joint Committee on Cancer staging system for cutaneous melanoma. J Clin Oncol. 2001;19(16):3635–48.

    Article  PubMed  CAS  Google Scholar 

  41. Morton DL, Thompson JF, Essner R, Elashoff R, Stern SL, Nieweg OE, et al. Validation of the accuracy of intraoperative lymphatic mapping and sentinel lymphadenectomy for early-stage melanoma: a multicenter trial. Multicenter Selective Lymphadenectomy Trial Group. Ann Surg. 1999;230(4):453–63. discussion 63-5

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. Kesmodel SB, Karakousis GC, Botbyl JD, Canter RJ, Lewis RT, Wahl PM, et al. Mitotic rate as a predictor of sentinel lymph node positivity in patients with thin melanomas. Ann Surg Oncol. 2005;12(6):449–58.

    Article  PubMed  Google Scholar 

  43. Rousseau DL Jr, Ross MI, Johnson MM, Prieto VG, Lee JE, Mansfield PF, et al. Revised American Joint Committee on cancer staging criteria accurately predict sentinel lymph node positivity in clinically node-negative melanoma patients. Ann Surg Oncol. 2003;10(5):569–74.

    Article  PubMed  Google Scholar 

  44. McMasters KM, Wong SL, Edwards MJ, Ross MI, Chao C, Noyes RD, et al. Factors that predict the presence of sentinel lymph node metastasis in patients with melanoma. Surgery. 2001;130(2):151–6.

    Article  PubMed  CAS  Google Scholar 

  45. Sondak VK, Taylor JM, Sabel MS, Wang Y, Lowe L, Grover AC, et al. Mitotic rate and younger age are predictors of sentinel lymph node positivity: lessons learned from the generation of a probabilistic model. Ann Surg Oncol. 2004;11(3):247–58.

    Article  PubMed  Google Scholar 

  46. Cecchi R, Buralli L, Innocenti S, De Gaudio C. Sentinel lymph node biopsy in patients with thin melanomas. J Dermatol. 2007;34(8):512–5.

    Article  PubMed  Google Scholar 

  47. Faries MB, Wanek LA, Elashoff D, Wright BE, Morton DL. Predictors of occult nodal metastasis in patients with thin melanoma. Arch Surg. 2010;145(2):137–42.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Han D, Zager JS, Shyr Y, Chen H, Berry LD, Iyengar S, et al. Clinicopathologic predictors of sentinel lymph node metastasis in thin melanoma. J Clin Oncol. 2013;31(35):4387–93.

    Article  PubMed  Google Scholar 

  49. White RL Jr, Ayers GD, Stell VH, Ding S, Gershenwald JE, Salo JC, et al. Factors predictive of the status of sentinel lymph nodes in melanoma patients from a large multicenter database. Ann Surg Oncol. 2011;18(13):3593–600.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Faries MB, Thompson JF, Cochran AJ, Andtbacka RH, Mozzillo N, Zager JS, et al. Completion Dissection or Observation for Sentinel-Node Metastasis in Melanoma. N Engl J Med. 2017;376(23):2211–22.

    Google Scholar 

  51. Leiter U, Stadler R, Mauch C, Hohenberger W, Brockmeyer N, Berking C, et al. Complete lymph node dissection versus no dissection in patients with sentinel lymph node biopsy positive melanoma (DeCOG-SLT): a multicentre, randomised, phase 3 trial. Lancet Oncol. 17(6):757–67.

    Article  PubMed  Google Scholar 

  52. Bilimoria KY, Balch CM, Bentrem DJ, Talamonti MS, Ko CY, Lange JR, et al. Complete lymph node dissection for sentinel node-positive melanoma: assessment of practice patterns in the United States. Ann Surg Oncol. 2008;15(6):1566–76.

    Article  PubMed  Google Scholar 

  53. Wong SL, Morton DL, Thompson JF, Gershenwald JE, Leong SP, Reintgen DS, et al. Melanoma patients with positive sentinel nodes who did not undergo completion lymphadenectomy: a multi-institutional study. Ann Surg Oncol. 2006;13(6):809–16.

    Article  PubMed  Google Scholar 

  54. van der Ploeg AP, van Akkooi AC, Rutkowski P, Cook M, Nieweg OE, Rossi CR, et al. Prognosis in patients with sentinel node-positive melanoma without immediate completion lymph node dissection. Br J Surg. 2012;99(10):1396–405.

    Article  PubMed  Google Scholar 

  55. Gershenwald JE, Andtbacka RH, Prieto VG, Johnson MM, Diwan AH, Lee JE, et al. Microscopic tumor burden in sentinel lymph nodes predicts synchronous nonsentinel lymph node involvement in patients with melanoma. J Clin Oncol. 2008;26(26):4296–303.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Ghaferi AA, Wong SL, Johnson TM, Lowe L, Chang AE, Cimmino VM, et al. Prognostic significance of a positive nonsentinel lymph node in cutaneous melanoma. Ann Surg Oncol. 2009;16(11):2978–84.

    Article  PubMed  Google Scholar 

  57. Ariyan C, Brady MS, Gonen M, Busam K, Coit D. Positive nonsentinel node status predicts mortality in patients with cutaneous melanoma. Ann Surg Oncol. 2009;16(1):186–90.

    Article  PubMed  Google Scholar 

  58. Egger ME, Callender GG, McMasters KM, Ross MI, Martin RC 2nd, Edwards MJ, et al. Diversity of stage III melanoma in the era of sentinel lymph node biopsy. Ann Surg Oncol. 2013;20(3):956–63.

    Article  PubMed  Google Scholar 

  59. Jakub JW, Huebner M, Shivers S, Nobo C, Puleo C, Harmsen WS, et al. The number of lymph nodes involved with metastatic disease does not affect outcome in melanoma patients as long as all disease is confined to the sentinel lymph node. Ann Surg Oncol. 2009;16(8):2245–51.

    Article  PubMed  Google Scholar 

  60. Brown RE, Ross MI, Edwards MJ, Noyes RD, Reintgen DS, Hagendoorn LJ, et al. The prognostic significance of nonsentinel lymph node metastasis in melanoma. Ann Surg Oncol. 2010;17(12):3330–5.

    Article  PubMed  Google Scholar 

  61. Reintgen M, Murray L, Akman K, Giuliano R, Lozicki A, Shivers S, et al. Evidence for a better nodal staging system for melanoma: the clinical relevance of metastatic disease confined to the sentinel lymph nodes. Ann Surg Oncol. 2013;20(2):668–74.

    Article  PubMed  Google Scholar 

  62. Sabel MS, Griffith K, Sondak VK, Lowe L, Schwartz JL, Cimmino VM, et al. Predictors of nonsentinel lymph node positivity in patients with a positive sentinel node for melanoma. J Am Coll Surg. 2005;201(1):37–47.

    Article  PubMed  Google Scholar 

  63. Cadili A, Smylie M, Danyluk J, Dabbs K. Prediction of nonsentinel lymph node metastasis in malignant melanoma. J Surg Res. 2009;154(2):324–9.

    Article  PubMed  Google Scholar 

  64. McMasters KM, Wong SL, Edwards MJ, Chao C, Ross MI, Noyes RD, et al. Frequency of nonsentinel lymph node metastasis in melanoma. Ann Surg Oncol. 2002;9(2):137–41.

    Article  PubMed  Google Scholar 

  65. Page AJ, Carlson GW, Delman KA, Murray D, Hestley A, Cohen C. Prediction of nonsentinel lymph node involvement in patients with a positive sentinel lymph node in malignant melanoma. Am Surg. 2007;73(7):674–8. discussion 8-9

    PubMed  Google Scholar 

  66. Ranieri JM, Wagner JD, Azuaje R, Davidson D, Wenck S, Fyffe J, et al. Prognostic importance of lymph node tumor burden in melanoma patients staged by sentinel node biopsy. Ann Surg Oncol. 2002;9(10):975–81.

    Article  PubMed  Google Scholar 

  67. Carlson GW, Murray DR, Lyles RH, Staley CA, Hestley A, Cohen C. The amount of metastatic melanoma in a sentinel lymph node: does it have prognostic significance? Ann Surg Oncol. 2003;10(5):575–81.

    Article  PubMed  Google Scholar 

  68. Dewar DJ, Newell B, Green MA, Topping AP, Powell BW, Cook MG. The microanatomic location of metastatic melanoma in sentinel lymph nodes predicts nonsentinel lymph node involvement. J Clin Oncol. 2004;22(16):3345–9.

    Article  PubMed  CAS  Google Scholar 

  69. Starz H, Siedlecki K, Balda BR. Sentinel lymphonodectomy and s-classification: a successful strategy for better prediction and improvement of outcome of melanoma. Ann Surg Oncol. 2004;11(3 Suppl):162S–8S.

    Article  PubMed  Google Scholar 

  70. Debarbieux S, Duru G, Dalle S, Beatrix O, Balme B, Thomas L. Sentinel lymph node biopsy in melanoma: a micromorphometric study relating to prognosis and completion lymph node dissection. Br J Dermatol. 2007;157(1):58–67.

    Article  PubMed  CAS  Google Scholar 

  71. van Akkooi AC, Nowecki ZI, Voit C, Schafer-Hesterberg G, Michej W, de Wilt JH, et al. Sentinel node tumor burden according to the Rotterdam criteria is the most important prognostic factor for survival in melanoma patients: a multicenter study in 388 patients with positive sentinel nodes. Ann Surg. 2008;248(6):949–55.

    Article  PubMed  Google Scholar 

  72. Scolyer RA, Li LX, McCarthy SW, Shaw HM, Stretch JR, Sharma R, et al. Micromorphometric features of positive sentinel lymph nodes predict involvement of nonsentinel nodes in patients with melanoma. Am J Clin Pathol. 2004;122(4):532–9.

    Article  PubMed  Google Scholar 

  73. Frankel TL, Griffith KA, Lowe L, Wong SL, Bichakjian CK, Chang AE, et al. Do micromorphometric features of metastatic deposits within sentinel nodes predict nonsentinel lymph node involvement in melanoma? Ann Surg Oncol. 2008;15(9):2403–11.

    Article  PubMed  Google Scholar 

  74. Cadili A, Scolyer RA, Brown PT, Dabbs K, Thompson JF. Total sentinel lymph node tumor size predicts nonsentinel node metastasis and survival in patients with melanoma. Ann Surg Oncol. 2010;17(11):3015–20.

    Article  PubMed  Google Scholar 

  75. Satzger I, Volker B, Meier A, Kapp A, Gutzmer R. Criteria in sentinel lymph nodes of melanoma patients that predict involvement of nonsentinel lymph nodes. Ann Surg Oncol. 2008;15(6):1723–32.

    Article  PubMed  Google Scholar 

  76. van der Ploeg AP, van Akkooi AC, Rutkowski P, Nowecki ZI, Michej W, Mitra A, et al. Prognosis in patients with sentinel node-positive melanoma is accurately defined by the combined Rotterdam tumor load and Dewar topography criteria. J Clin Oncol. 2011;29(16):2206–14.

    Article  PubMed  Google Scholar 

  77. Murali R, Cochran AJ, Cook MG, Hillman JD, Karim RZ, Moncrieff M, et al. Interobserver reproducibility of histologic parameters of melanoma deposits in sentinel lymph nodes: implications for management of patients with melanoma. Cancer. 2009;115(21):5026–37.

    Article  PubMed  Google Scholar 

  78. Fink AM, Weihsengruber F, Duschek N, Schierl M, Wondratsch H, Jurecka W, et al. Value of micromorphometric criteria of sentinel lymph node metastases in predicting further nonsentinel lymph node metastases in patients with melanoma. Melanoma Res. 2011;21(2):139–43.

    Article  PubMed  Google Scholar 

  79. Egger ME, Bower MR, Czyszczon IA, Farghaly H, Noyes RD, Reintgen DS, et al. Comparison of sentinel lymph node micrometastatic tumor burden measurements in melanoma. J Am Coll Surg. 2014;218(4):519–28.

    Article  PubMed  Google Scholar 

  80. van der Ploeg AP, van Akkooi AC, Haydu LE, Scolyer RA, Murali R, Verhoef C, et al. The prognostic significance of sentinel node tumour burden in melanoma patients: an international, multicenter study of 1539 sentinel node-positive melanoma patients. Eur J Cancer. 2014;50(1):111–20.

    Article  PubMed  Google Scholar 

  81. Day CL Jr, Harrist TJ, Gorstein F, Sober AJ, Lew RA, Friedman RJ, et al. Malignant melanoma. Prognostic significance of “microscopic satellites” in the reticular dermis and subcutaneous fat. Ann Surg. 1981;194(1):108–12.

    Article  PubMed  PubMed Central  Google Scholar 

  82. Leon P, Daly JM, Synnestvedt M, Schultz DJ, Elder DE, Clark WH Jr. The prognostic implications of microscopic satellites in patients with clinical stage I melanoma. Arch Surg. 1991;126(12):1461–8.

    Article  PubMed  CAS  Google Scholar 

  83. Buzaid AC, Ross MI, Balch CM, Soong S, McCarthy WH, Tinoco L, et al. Critical analysis of the current American joint committee on cancer staging system for cutaneous melanoma and proposal of a new staging system. J Clin Oncol. 1997;15(3):1039–51.

    Article  PubMed  CAS  Google Scholar 

  84. Read RL, Haydu L, Saw RP, Quinn MJ, Shannon K, Spillane AJ, et al. In-transit melanoma metastases: incidence, prognosis, and the role of lymphadenectomy. Ann Surg Oncol. 2015;22(2):475–81.

    Article  PubMed  Google Scholar 

  85. Castiglione R, Ihle MA, Heydt C, Schultheis AM, Merkelbach-Bruse S, Mauch C, et al. The impact of sequencing on diagnosis and treatment of malignant melanoma. Expert Rev Mol Diagn. 2016;16(4):423–33.

    Article  PubMed  CAS  Google Scholar 

  86. Lee CY, Gerami P. Molecular techniques for predicting behaviour in melanocytic neoplasms. Pathology. 2016;48(2):142–6.

    Article  PubMed  CAS  Google Scholar 

  87. Curtin JA, Fridlyand J, Kageshita T, Patel HN, Busam KJ, Kutzner H, et al. Distinct sets of genetic alterations in melanoma. N Engl J Med. 2005;353(20):2135–47.

    Article  PubMed  CAS  Google Scholar 

  88. Horn S, Figl A, Rachakonda PS, Fischer C, Sucker A, Gast A, et al. TERT promoter mutations in familial and sporadic melanoma. Science. 2013;339(6122):959–61.

    Article  PubMed  CAS  Google Scholar 

  89. Shain AH, Yeh I, Kovalyshyn I, Sriharan A, Talevich E, Gagnon A, et al. The genetic evolution of melanoma from precursor lesions. N Engl J Med. 2015;373(20):1926–36.

    Article  PubMed  CAS  Google Scholar 

  90. Bittner M, Meltzer P, Chen Y, Jiang Y, Seftor E, Hendrix M, et al. Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature. 2000;406(6795):536–40.

    Article  PubMed  CAS  Google Scholar 

  91. Jaeger J, Koczan D, Thiesen HJ, Ibrahim SM, Gross G, Spang R, et al. Gene expression signatures for tumor progression, tumor subtype, and tumor thickness in laser-microdissected melanoma tissues. Clin Cancer Res. 2007;13(3):806–15.

    Article  PubMed  CAS  Google Scholar 

  92. Koh SS, Wei JP, Li X, Huang RR, Doan NB, Scolyer RA, et al. Differential gene expression profiling of primary cutaneous melanoma and sentinel lymph node metastases. Mod Pathol. 2012;25(6):828–37.

    Article  PubMed  CAS  Google Scholar 

  93. Gerami P, Cook RW, Russell MC, Wilkinson J, Amaria RN, Gonzalez R, et al. Gene expression profiling for molecular staging of cutaneous melanoma in patients undergoing sentinel lymph node biopsy. J Am Acad Dermatol. 2015;72(5):780–5. e3

    Article  PubMed  CAS  Google Scholar 

  94. Rajkumar S, Watson IR. Molecular characterisation of cutaneous melanoma: creating a framework for targeted and immune therapies. Br J Cancer. 2016;115(2):145–55.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  95. Hodis E, Watson IR, Kryukov GV, Arold ST, Imielinski M, Theurillat JP, et al. A landscape of driver mutations in melanoma. Cell. 2012;150(2):251–63.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  96. Akbani R, Akdemir Kadir C, Aksoy BA, Albert M, Ally A, Amin Samirkumar B, et al. Genomic classification of cutaneous melanoma. Cell. 2015;161(7):1681–96.

    Article  CAS  Google Scholar 

  97. Rutkowski P, Gos A, Jurkowska M, Switaj T, Dziewirski W, Zdzienicki M, et al. Molecular alterations in clinical stage III cutaneous melanoma: correlation with clinicopathological features and patient outcome. Oncol Lett. 2014;8(1):47–54.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Thomas NE, Edmiston SN, Alexander A, Groben PA, Parrish E, Kricker A, et al. Association between NRAS and BRAF mutational status and melanoma-specific survival among patients with higher-risk primary melanoma. JAMA Oncol. 2015;1(3):359–68.

    Article  PubMed  PubMed Central  Google Scholar 

  99. Saldanha G, Elshaw S, Sachs P, Alharbi H, Shah P, Jothi A, et al. microRNA-10b is a prognostic biomarker for melanoma. Mod Pathol. 2016;29(2):112–21.

    Article  PubMed  CAS  Google Scholar 

  100. Shimizu A, Kaira K, Yasuda M, Asao T, Ishikawa O. Clinical and pathological significance of ER stress marker (BiP/GRP78 and PERK) expression in malignant melanoma. Pathol Oncol Res. 2017;23(1):111–6.

    Article  PubMed  CAS  Google Scholar 

  101. Pieniazek M, Donizy P, Halon A, Leskiewicz M, Matkowski R. Prognostic significance of immunohistochemical epithelial-mesenchymal transition markers in skin melanoma patients. Biomark Med. 2016;10(9):975–85.

    Article  PubMed  CAS  Google Scholar 

  102. Ma MW, Medicherla RC, Qian M, Vega-Saenz de Miera E, Friedman EB, Berman RS, et al. Immune response in melanoma: an in-depth analysis of the primary tumor and corresponding sentinel lymph node. Mod Pathol. 2012;25(7):1000–10.

    Article  PubMed  CAS  Google Scholar 

  103. Mohos A, Sebestyen T, Liszkay G, Plotar V, Horvath S, Gaudi I, et al. Immune cell profile of sentinel lymph nodes in patients with malignant melanoma—FOXP3+ cell density in cases with positive sentinel node status is associated with unfavorable clinical outcome. J Transl Med. 2013;11:43.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  104. Vallacchi V, Vergani E, Camisaschi C, Deho P, Cabras AD, Sensi M, et al. Transcriptional profiling of melanoma sentinel nodes identify patients with poor outcome and reveal an association of CD30(+) T lymphocytes with progression. Cancer Res. 2014;74(1):130–40.

    Article  PubMed  CAS  Google Scholar 

  105. Vallacchi V, Camisaschi C, Dugo M, Vergani E, Deho P, Gualeni A, et al. microRNA expression in sentinel nodes from progressing melanoma patients identifies networks associated with dysfunctional immune response. Genes. 2016;7(12):124.

    Article  PubMed Central  CAS  Google Scholar 

  106. Hao H, Xiao D, Pan J, Qu J, Egger M, Waigel S, et al. Sentinel lymph node genes to predict prognosis in node-positive melanoma patients. Ann Surg Oncol. 2017;24(1):108–16.

    Article  PubMed  Google Scholar 

  107. Huang SK, Hoon DS. Liquid biopsy utility for the surveillance of cutaneous malignant melanoma patients. Mol Oncol. 2016;10(3):450–63.

    Article  PubMed  CAS  Google Scholar 

  108. Gandini S, Ferrucci PF, Botteri E, Tosti G, Barberis M, Pala L, et al. Prognostic significance of hematological profiles in melanoma patients. Int J Cancer. 2016;139(7):1618–25.

    Article  PubMed  CAS  Google Scholar 

  109. Jacquelot N, Enot DP, Flament C, Vimond N, Blattner C, Pitt JM, et al. Chemokine receptor patterns in lymphocytes mirror metastatic spreading in melanoma. J Clin Invest. 2016;126(3):921–37.

    Article  PubMed  PubMed Central  Google Scholar 

  110. Toia F, Buccheri S, Anfosso A, Moschella F, Dieli F, Meraviglia S, et al. Skewed differentiation of circulating Vgamma9Vdelta2 T lymphocytes in melanoma and impact on clinical outcome. PLoS One. 2016;11(2):e0149570.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  111. Thery C, Ostrowski M, Segura E. Membrane vesicles as conveyors of immune responses. Nat Rev Immunol. 2009;9(8):581–93.

    Article  PubMed  CAS  Google Scholar 

  112. Alegre E, Zubiri L, Perez-Gracia JL, Gonzalez-Cao M, Soria L, Martin-Algarra S, et al. Circulating melanoma exosomes as diagnostic and prognosis biomarkers. Clin Chim Acta. 2016;454:28–32.

    Article  PubMed  CAS  Google Scholar 

  113. Hoshimoto S, Shingai T, Morton DL, Kuo C, Faries MB, Chong K, et al. Association between circulating tumor cells and prognosis in patients with stage III melanoma with sentinel lymph node metastasis in a phase III international multicenter trial. J Clin Oncol. 2012;30(31):3819–26.

    Article  PubMed  PubMed Central  Google Scholar 

  114. Hida T, Yoneta A, Wakamatsu K, Yanagisawa K, Ishii-Osai Y, Kan Y, et al. Circulating melanoma cells as a potential biomarker to detect metastasis and evaluate prognosis. Australas J Dermatol. 2016;57(2):145–9.

    Article  PubMed  Google Scholar 

  115. Hoshimoto S, Faries MB, Morton DL, Shingai T, Kuo C, Wang HJ, et al. Assessment of prognostic circulating tumor cells in a phase III trial of adjuvant immunotherapy after complete resection of stage IV melanoma. Ann Surg. 2012;255(2):357–62.

    Article  PubMed  Google Scholar 

  116. Egberts F, Kotthoff EM, Gerdes S, Egberts JH, Weichenthal M, Hauschild A. Comparative study of YKL-40, S-100B and LDH as monitoring tools for stage IV melanoma. Eur J Cancer. 2012;48(5):695–702.

    Article  PubMed  CAS  Google Scholar 

  117. Damude S, Hoekstra HJ, Bastiaannet E, Muller Kobold AC, Kruijff S, Wevers KP. The predictive power of serum S-100B for non-sentinel node positivity in melanoma patients. Eur J Surg Oncol. 2016;42(4):545–51.

    Article  PubMed  CAS  Google Scholar 

  118. Nikolin B, Djan I, Trifunovic J, Dugandzija T, Novkovic D, Djan V, et al. MIA, S100 and LDH as important predictors of overall survival of patients with stage IIb and IIc melanoma. J BUON. 2016;21(3):691–7.

    PubMed  Google Scholar 

  119. Abusaif S, Jradi Z, Held L, Pflugfelder A, Weide B, Meier F, et al. S100B and lactate dehydrogenase as response and progression markers during treatment with vemurafenib in patients with advanced melanoma. Melanoma Res. 2013;23(5):396–401.

    Article  PubMed  CAS  Google Scholar 

  120. Diem S, Kasenda B, Spain L, Martin-Liberal J, Marconcini R, Gore M, et al. Serum lactate dehydrogenase as an early marker for outcome in patients treated with anti-PD-1 therapy in metastatic melanoma. Br J Cancer. 2016;114(3):256–61.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  121. Kelderman S, Heemskerk B, van Tinteren H, van den Brom RR, Hospers GA, van den Eertwegh AJ, et al. Lactate dehydrogenase as a selection criterion for ipilimumab treatment in metastatic melanoma. Cancer Immunol Immunother. 2014;63(5):449–58.

    PubMed  CAS  Google Scholar 

  122. Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. Br J Surg. 2015;102(3):148–58.

    Article  PubMed  CAS  Google Scholar 

  123. Kattan MW, Hess KR, Amin MB, Lu Y, Moons KG, Gershenwald JE, et al. American Joint Committee on cancer acceptance criteria for inclusion of risk models for individualized prognosis in the practice of precision medicine. CA Cancer J Clin. 2016;66(5):370–4.

    Article  PubMed  PubMed Central  Google Scholar 

  124. Soong SJ, Ding S, Coit D, Balch CM, Gershenwald JE, Thompson JF, et al. Predicting survival outcome of localized melanoma: an electronic prediction tool based on the AJCC Melanoma Database. Ann Surg Oncol. 2010;17(8):2006–14.

    Article  PubMed  PubMed Central  Google Scholar 

  125. Callender GG, Gershenwald JE, Egger ME, Scoggins CR, Martin RC 2nd, Schacherer CW, et al. A novel and accurate computer model of melanoma prognosis for patients staged by sentinel lymph node biopsy: comparison with the American Joint Committee on Cancer model. J Am Coll Surg. 2012;214(4):608–17. discussion 17-9

    Article  PubMed  Google Scholar 

  126. Mahar AL, Compton C, Halabi S, Hess KR, Gershenwald JE, Scolyer RA, et al. Critical assessment of clinical prognostic tools in melanoma. Ann Surg Oncol. 2016;23(9):2753–61.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jeffrey E. Gershenwald .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Egger, M.E., Gershenwald, J.E. (2018). Staging and Classification of Melanoma. In: Riker, A. (eds) Melanoma. Springer, Cham. https://doi.org/10.1007/978-3-319-78310-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-78310-9_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78309-3

  • Online ISBN: 978-3-319-78310-9

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics