Abstract: The invention provides markers indicative of pre-cachexia, compositions and methods for identifying patients with a molecular signature indicative of pre-cachexia; a culture system that reproduces the cachetic process in cells in vitro, which facilitates the screening and identification of therapeutic agents useful for disrupting (slowing, reducing, reversing, or preventing) the progression of pre-cachexia to refractory cachexia; as well as therapeutic agents identified using the culture system of the invention.

Abstract: Methods to simultaneously test and screen multiplexed, mixed cell populations, e.g., populations comprising genetically heterogeneous cancer cells, in common conditions.

Abstract: The present invention relates to compositions, kits, and methods for detecting, characterizing, preventing, and treating cancer (e.g., hematological malignancies in humans). A variety of biomarker chromosomal number alterations (CNAs) and biomarkers corresponding thereto, are provided, wherein alterations in the copy number of one or more of the biomarker CNAs and/or alterations in the amount, structure, and/or activity of one or more of the biomarkers comprised within the CNAs is associated with cancer status.

Abstract: This invention relates to high-throughput, semi-automated methods for identifying compounds that are effective in targeting leukemia stem cells, as well as compounds identified by those methods and uses thereof for treating leukemia.

Abstract: The invention relates to compositions, kits, and methods for detecting, characterizing, preventing, and treating hepatic disorders such as hepatocellular carcinoma and/or cirrhosis. A variety of informative biomarkers corresponding thereto, are provided, wherein alterations in expression relative to a control is correlated with the presence of a hepatic disorder, likelihood of survival from a hepatic disorder, and likelihood of recurrence of a hepatic disorder.

Abstract: Based on the discovery that celastrol and gedunin are Hsp90 inhibitors, the present invention provides novel inhibitors of Hsp90. and pharmaceutically acceptable salts, derivatives, and compositions thereof. The invention provides two classes of compounds. One class includes celastrol and its derivatives. The other class includes gedunin and its derivatives. The present invention further provides methods for treating disorders wherein Hs?90 inhibition is desired (e.g., proliferative diseases, cancer, inflammatory diseases, fungal infections, etc.) comprising administering a therapeutically effective amount of an inventive compound to a subject in need thereof. Celastrol, gedunin, and derivatives thereof are particularly useful in the treatment of prostate cancer, breast cancer, ovarian cancer, lung cancer, and leukemia.

Abstract: The present invention is directed to novel high-throughput, low-cost, and flexible solution-based methods for RNA expression profiling, including expression of microRNAs and mRNAs.

Abstract: Methods identifying prostate cancer, methods for prognosing and diagnosing prostate cancer, methods for identifying a compound that modulates prostate cancer development, methods for determining the efficacy of a prostate cancer therapy, and oligonucleotide microarrays containing probes for genes involved in prostate cancer development are described.

Abstract: Methods and apparatus for classifying or predicting the classes for samples based on gene expression are described. Also described are methods and apparatus for ascertaining or discovering new, previously unknown classes based on gene expression. Methods, computer systems and apparatus for classifying or predicting whether a sample is treatment sensitive (e.g., chemosensitive) or treatment resistant (e.g., chemoresistant) are also provided. Classification occurs based on analysis of gene expression data from samples that have been subjected to one or more compounds.

Abstract: Methods and apparatus for classifying or predicting the classes for samples based on gene expression are described. Also described are methods and apparatus for ascertaining or discovering new, previously unknown classes based on gene expression.

Abstract: Sets of genetic markers for specific tumor classes are described, as well as methods of identifying a biological sample based on these markers. Also described are diagnostic, prognostic, and therapeutic screening uses for these markers, as well as oligonucleotide arrays comprising these markers.

Abstract: The present invention relates to the diagnosis of mixed lineage leukemia (MLL), acute lymphoblastic leukemia (ALL), and acute myelogenous leukemia (AML) according to the gene expression profile of a sample from an individual, as well as to methods of therapy and screening that utilize the genes identified herein as targets.

Abstract: Methods identifying prostate cancer, methods for prognosing and diagnosing prostate cancer, methods for identifying a compound that modulates prostate cancer development, methods for determining the efficacy of a prostate cancer therapy, and oligonucleotide microarrays containing probes for genes involved in prostate cancer development are described.

Abstract: A neural network system and method for analyzing data sets, especially microarray gene expression data. The neural network is trained to generate time-dependent outcome predictions based on input features and outcome functions for a number of subjects. The features may be highly dimensional relative to the number of subjects, and feature selection is applied to the input feature data for training the neural network. A trained neural network processes input features from a subject to generate an outcome function that reflects the probability of the occurrence of an event at a given time point for that subject.

Abstract: The invention provides a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Oligonucleotide microarrays were used to analyze mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct subclasses of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extrapulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.

Abstract: Methods are provided for the clssification of disease types (e.g., cancer types), outcome predictions, and treatment classes based on algorithmic classifiers used to analyze large datasets.

Abstract: Methods and apparatus for classifying or predicting the classes for samples based on gene expression are described. Also described are methods and apparatus for ascertaining or discovering new, previously unknown classes based on gene expression.

Abstract: Methods for predicting phenotypic classes of lymphomas, such as lymphoma type or treatment outcome, for lymphoma samples based on gene expression profiles are described.

Abstract: Methods identifying prostate cancer, methods for prognosing and diagnosing prostate cancer, methods for identifying a compound that modulates prostate cancer development, methods for determining the efficacy of a prostate cancer therapy, and oligonucleotide microarrays containing probes for genes involved in prostate cancer development are described.

Abstract: The present invention relates to the diagnosis of mixed lineage leukemia (MLL), acute lymphoblastic leukemia (ALL), and acute myelogenous leukemia (AML) according to the gene expression profile of a sample from an individual, as well as to methods of therapy and screening that utilize the genes identified herein as targets.