Abstract: Disclosed herein are methods for predicting the response to a HER2-directed therapy and for scoring a breast cancer tumor sample. In some embodiments, the methods include contacting the sample with an antibody that specifically binds HER2 protein and detecting presence and/or amount of HER2 protein and contacting the sample with a nucleic acid probe that specifically binds to HER2 genomic DNA and detecting presence and/or amount of HER2 genomic DNA (such as HER2 gene copy number). In some embodiments, the methods further include detection of a centromere nucleic acid (such as chromosome 17 centromere DNA) and contacting the sample with an antibody that specifically binds ER protein and detecting presence and/or amount of ER protein in the same sample.

Abstract: The subject invention relates to determining the presence and level of hENT1 expression in tumor tissue that is appropriate for gemcitabine therapy, and more importantly, the level of hENT1 expression that signifies that treatment with a gemcitabine derivative is a more appropriate strategy.

Abstract: The subject invention relates to determining the presence and level of hENT1 expression in tumor tissue that is appropriate for gemcitabine therapy, and more importantly, the level of hENT1 expression that signifies that treatment with a gemcitabine derivative is a more appropriate strategy.

Abstract: Disclosed herein are methods of predicting prognosis of a neoplastic disease (such as lung cancer, for example NSCLC), including determining the IGF1R gene copy number in a biological sample from a patient having a neoplastic disease; wherein an increase in IGF1R copy number predicts a good prognosis of the neoplastic disease in the patient. Also disclosed herein are methods of scoring copy number of a gene of interest in a biological sample. The method includes identifying individual cells in the sample having highest number of signals for the gene of interest detected by in situ hybridization, counting the number of signals for the gene of interest in the identified individual cells and determining an average number of signals per cell.