Immunohistologic evaluation of metastatic carcinomas of unknown origin: an algorithmic approach.

摘要: Pathologists are now asked frequently to determine the primary site for metastatic carcinomas of unknown origin (MCUO), using adjunctive morphological techniques such as electron microscopy, immunohistology, and other modalities. The authors present an algorithmic immunohistochemical approach this problem that is based on their experience with over 2,800 routinely-processed epithelial malignancies various types. These have been studied antibodies keratins, vimentin, membrane antigen, MOC-31, tumor associated-glycoprotein-72 (recognized by monoclonal antibody B72.3), prostate-specific thyroglobulin, gross cystic disease fluid protein-15, carcinoembryonic CA-125, CA19-9, placental alkaline phosphatase, S100 protein, estrogen receptor protein. algorithm structured around these 14 analytes relative predictive value each marker, which in turn, determines its place sequence interpretation. authors' shows 67% accuracy regard ultimately determined MCUO, a figure similar reported investigators.