Abstract: The present invention provides methods and compositions related to genomic profiling, and in particular, to assigning probabilistic measure of clinical outcome for a patient having a disease or a tumor using segmented genomic profiles such as those produced by representational oligonucleotide microarray analysis (ROMA).

Abstract: The present invention provides methods and compositions related to genomic profiling, and in particular, to assigning probabilistic measure of clinical outcome for a patient having a disease or a tumor using segmented genomic profiles such as those produced by representational oligonucleotide microarray analysis (ROMA).

Abstract: The invention is a method that allows the detection of cancer cells in a cell or tissue sample. One step in the invention is the determination of whether there are cells in the S- or G2-phases of the cell cycle in the sample that contain “cyclin E-type-protein”. The method is based on a determination of the level of “cyclin E-type-protein” in the individual cells in the sample together with a determination of the level of a “post G1-substance”, i.e. a substance present exclusively in S and/or G2 cells. The sample can be assumed to contain cancer cells if “cyclin E-type-protein” is found in cells in S and/or G2.