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Melanoma pp 141-156 | Cite as

Immunotherapy of Advanced Melanoma Directed at Specific Antigens

  • Stanley P. L. Leong
  • Suyu Shu
Chapter
Part of the Current Clinical Oncology book series (CCO)

Abstract

Since the description of melanoma in 1787, its biological behavior has suggested that the immune system may play a significant role in its interaction with melanoma. Several lines of evidence may support this hypothesis: (i) in documented cases of children with spontaneous regression of cancer, melanoma has been found to be the cancer second in incidence to neuroblastoma (1); (ii) approximately 5% of patients with metastatic melanoma have an unknown primary suggesting that the primary melanoma may have regressed spontaneously (2,3); (iii)although widespread vitiligo-like leukoderma is an uncommon clinical entity, its clinical manifestation suggests that an immune mechanism may be the cause of destruction of both normal melanocytes and malignant melanoma (4); (iv) in superficial spreading melanoma, it is not infrequent to appreciate areas of regression with tumor-infiltrating lymphocytes (TILs). Lymphocytic infiltration of the primary tumor has been associated with a better prognosis than when the primary tumor is not infiltrated with lymphocytes (5-7); (v) although it is not a common finding, there are patients whose melanoma may remain dormant for over 20 yr after the diagnosis of the primary melanoma, who subsequently recur and die from melanoma (8). This may suggest tumor escape following a long period of host tumor interaction; and (vi) finally, the significantly increased incidence and poorer prognosis for melanoma developed in immunosuppressed renal transplant recipients (9) provides additional clinical evidence for the role of immune surveillance in the evolution of melanoma.

Keywords

Metastatic Melanoma Adoptive Immunotherapy Active Specific Immunotherapy Iymph Node Autologous Melanoma Cell 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Humana Press Inc.,Totowa, NJ 2002

Authors and Affiliations

  • Stanley P. L. Leong
  • Suyu Shu

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