Abstract: Histologic classification of pathology specimens through machine learning is a nascent field which offers tremendous potential to improve cancer medicine. Its utility has been limited, in part because of differences in tissue preparation and the relative paucity of well-annotated images. We introduce tissue recognition, an unsupervised learning problem analogous to human face recognition, in which the goal is to identify individual tumors using a learned set of histologic features. This feature set is the “tissue fingerprint.” Because only specimen identities are matched to fingerprints, constructing an algorithm for producing them is a self-learning task that does not need image metadata annotations. Here, we provide an algorithm for self-learning tissue fingerprints, that, in conjunction with color normalization, can match hematoxylin and eosin stained tissues to one of 104 patients with 93% accuracy.

Abstract: Described herein are genes whose expression are up-regulated or down-regulated in prostate cancer. Also described are such genes whose expression is further up-regulated or down-regulated in drug-resistant prostate cancer cells. Related methods and compositions that can be used for diagnosis and treatment of prostate cancer are disclosed. Also described herein are methods that can be used to identify modulators of prostate cancer.

Abstract: The present invention concerns prognostic markers associated with cancer. In particular, the invention concerns prognostic methods based on the molecular characterization of gene expression in paraffin-embedded, fixed samples of cancer tissue, which allow a physician to predict whether a patient is likely to respond well to treatment with an EGFR inhibitor.

Abstract: The present invention concerns prognostic markers associated with cancer. In particular, the invention concerns prognostic methods based on the molecular characterization of gene expression in paraffin-embedded, fixed samples of cancer tissue, which allow a physician to predict whether a patient is likely to respond well to treatment with an EGFR inhibitor.

Abstract: Described herein are genes whose expression are regulated in specific cancers. Related methods and compositions that can be used for diagnosis of those cancers are disclosed. Also described herein are methods that can be used to identify modulators of selected cancers.

Abstract: Described herein are genes whose expression are up-regulated or down-regulated in prostate cancer. Also described are such genes whose expression is further up-regulated or down-regulated in drug-resistant prostate cancer cells. Related methods and compositions that can be used for diagnosis and treatment of prostate cancer are disclosed. Also described herein are methods that can be used to identify modulators of prostate cancer.

Abstract: Described herein are methods for treating cancer and other disease conditions in individuals who have either developed a resistance to conventional tyrosine kinase inhibitor (TKI) therapy or who are non-responsive ab initio to conventional TKI therapy. In various embodiments, the methods include administering to a patient a resistance-surmounting quantity of a TKI on a weekly or semi-weekly basis. Alternate embodiments of the present invention include a diagnostic method for assessing an individual's probability of being resistant to TKI therapy, based upon an expression level of epithelial membrane protein-1 (EMP-1); one of the genes believed to be responsible for TKI resistance. The methods of the present invention may be particularly useful in the treatment of lung, breast, prostate, ovarian, brain and colon cancers. The methods of the present invention may be effective in blocking the HER-2 kinase domain either in addition to or in lieu of blocking the EGFR kinase domain.

Abstract: Described herein are methods of using a NSAID and a HER-kinase axis inhibitor in the treatment of various conditions including cancer, and especially prostate, breast, lung, ovarian, brain and colon cancers, through regulation of PPAR? activity. In various embodiments, the NSAID and HER-kinase axis inhibitor may be included in a composition that is useful for the treatment of conditions in a mammal. Also described is a kit including a NSAID and a HER-kinase axis inhibitor along with instructions for their use in treating and preventing disease conditions, such as cancer.

Abstract: Described herein are methods for treating cancer and other disease conditions in individuals who have either developed a resistance to conventional tyrosine kinase inhibitor (TKI) therapy or who are non-responsive ab initio to conventional TKI therapy. In various embodiments, the methods include administering to a patient a resistance-surmounting quantity of a TKI on a weekly or semi-weekly basis. Alternate embodiments of the present invention include a diagnostic method for assessing an individual's probability of being resistant to TKI therapy, based upon an expression level of epithelial membrane protein-1 (EMP-1); one of the genes believed to be responsible for TKI resistance. The methods of the present invention may be particularly useful in the treatment of lung, breast, prostate, ovarian, brain and colon cancers. The methods of the present invention may be effective in blocking the HER-2 kinase domain either in addition to or in lieu of blocking the EGFR kinase domain.

Abstract: The present application describes the use of ErbB antagonist, especially ErbB2 antibodies such as rhuMAb 2C4, for treating pain.

Abstract: The present invention concerns prognostic markers associated with cancer. In particular, the invention concerns prognostic methods based on the molecular characterization of gene expression in paraffin-embedded, fixed samples of cancer tissue, which allow a physician to predict whether a patient is likely to respond well to treatment with an EGFR inhibitor.

Abstract: Described herein are genes whose expression are regulated in specific cancers. Related methods and compositions that can be used for diagnosis of those cancers are disclosed. Also described herein are methods that can be used to identify modulators of selected cancers.

Abstract: The present invention concerns prognostic markers associated with cancer. In particular, the invention concerns prognostic methods based on the molecular characterization of gene expression in paraffin-embedded, fixed samples of cancer tissue, which allow a physician to predict whether a patient is likely to respond well to treatment with an EGFR inhibitor.