title: New techniques in dermatopathology that help to diagnose and prognosticate melanoma.
abstract: Routine light microscopy supplemented with immunohistochemistry in cases of metastatic or spindle cell melanoma are standards of care for the diagnosis and staging of melanoma. Not all melanocytic tumors can be confidently classified as melanoma or benign nevus by histology, however. In addition, tumor thickness and ulceration, the current American Joint Classification on Cancer prognosticators for primary cutaneous (stages I and II) melanoma used in clinical practice, do not perfectly predict an individual's clinical course. Recent advances in molecular techniques and bioinformatics mandate testing and use of novel methods for the detection, diagnosis, and classification of melanocytic tumors that can accurately predict tumor behavior and help in selecting the most optimal and individualized therapy.
authors.affiliation: Department of Pathology, Albany Medical College MC-81, Albany, NY 12208, USA. carlsoa@mail.amc.edu
authors.forename: J Andrew
authors.initials: JA
authors.lastname: Carlson
authors.forename: Jeffrey S
authors.initials: JS
authors.lastname: Ross
authors.forename: Andrze J
authors.initials: AJ
authors.lastname: Slominski
mesh_terms: D020732:Cytogenetic Analysis; D003880:Dermatology / Q000379:methods; D006801:Humans; D007150:Immunohistochemistry; D008545:Melanoma / Q000235:genetics / Q000473:pathology*; D025202:Molecular Diagnostic Techniques; D009367:Neoplasm Staging; D011379:Prognosis; D012878:Skin Neoplasms / Q000235:genetics / Q000473:pathology*