Abstract: Methods and systems for deconvoluting tumor ecosystems for personalized cancer therapy are disclosed. Generally, human cancers exhibit large variation in behavior between and within patients, which is in large part related to cellular composition. Identifying cell types can identify specific types of tumors and/or cancers present in an individual. Further embodiments generally describe identifying therapies from clinical trials to which the tumor or cancer ecotypes respond, thus providing personalized therapies based on the identified cancer or tumor type.

Abstract: Methods and systems for determining progression and other characteristics of microarray expression levels and similar information, alternatively using a network or communications medium or tangible storage medium or logic processor.

Abstract: Methods, kits, devices, and computer systems are provided for obtaining an NSCLC marker level representation for an individual with non small cell lung carcinoma (NSCLC); and/or for providing a prognosis for an individual with NSCLC. The methods can include measuring expression levels, in a biological sample, of 2 or more NSCLC markers selected from: MAD2L1, GINS1, SLC2A1, KRT6A, FCGRT, TNIK, BCAM, KDM6A, and FAIM3; calculating an NSCLC marker level representation based on the measured expression levels; comparing the NSCLC marker level representation of the individual to a reference marker level representation; providing a prognosis based on the comparison; and/or generating a report that includes at least one of: (i) an NSCLC marker level representation, (ii) an NSCLC marker level representation and a reference NSCLC marker level representation, (iii) a prognosis, and (iv) guidance to a clinician as to a treatment recommendation based on the prognosis.

Abstract: Methods, compositions, and kits are provided for providing a diagnosis, a prognosis, or a prediction of responsiveness to a therapy for a patient with a hematological malignancy. In practicing the subject methods, the expression level of at least one leukemia stem cell (LSC) genes in a tissue sample is assayed to obtain an LSC expression representation. The LSC expression representation is then employed to determine if an individual has a hematological malignancy, to provide a prognosis to a patient with a hematological malignancy, and/or to provide a prediction of the responsiveness of a patient with a hematological malignancy to a therapy. Also provided are screening methods for identifying novel therapies for patients with a hematological malignancy, and compositions and kits for use in these screening methods.

Abstract: Methods and systems for determining progression and other characteristics of microarray expression levels and similar information, alternatively using a network or communications medium or tangible storage medium or logic processor.

Abstract: Measurement of a single gene expressed by tumor cells (LMO2) and a single gene expressed by the immune microenvironment (TNFRSF9), which determination may be referred to herein as a two gene score (TGS), powerfully predicts overall survival in patients with NHL, particularly overall survival in the context of anthracycline-based chemotherapy or co-treatment with anthracycline-based chemotherapy and anti-CD20 immunotherapy. It is shown herein that increased levels of LMO2 and TNFRSF9 correlate with a positive patient response and improved prognosis.