title: Interpretation of expression-profiling results obtained from different platforms and tissue sources: examples using prostate cancer data.
abstract: The analysis of expression signatures is a powerful tool for the classification of cancer and other tissue samples. Several protocols and platforms are available on the market, and these lead to both confirmatory and complementary results. We review the main processing techniques for cross-platform comparisons and the different tissue sources for cancer profiling. Some examples and the cross-interpretation of bibliographic data related to prostate cancer are also presented.
authors.affiliation: Laboratory of Cancer Pharmacogenomics, Fondo Edo Tempia, via Malta 3, Biella 13900, Italy. giovanna.chiorino@fondoedotempia.it
authors.forename: G
authors.initials: G
authors.lastname: Chiorino
authors.forename: F
authors.initials: F
authors.lastname: Acquadro
authors.forename: M
authors.initials: M
authors.lastname: Mello Grand
authors.forename: S
authors.initials: S
authors.lastname: Viscomi
authors.forename: R
authors.initials: R
authors.lastname: Segir
authors.forename: M
authors.initials: M
authors.lastname: Gasparini
authors.forename: P
authors.initials: P
authors.lastname: Dotto
mesh_terms: D003625:Data Collection / Q000379:methods* / Q000592:standards; D003627:Data Interpretation, Statistical; D016206:Databases, Bibliographic / Q000592:standards; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D008297:Male; D011471:Prostatic Neoplasms / Q000188:drug therapy* / Q000235:genetics; D012334:RNA, Neoplasm / Q000032:analysis; D012016:Reference Values
chemical_list: D012334:RNA, Neoplasm