The invention provides a system, composition, and methods of using the systems and compositions for the analysis of a sample from a subject to accurately diagnose, prognose, or classify the subject with certain grades of or susceptibility to Barrett's esophagus. In some embodiments, the system of the present invention comprises a means of detecting and/or quantifying morphological features, the expression of protein, or the expression of nucleic acids in a plurality of cells and correlating that data with a subject's medical history to predict clinical outcome, treatment plans, preventive medicine plans, or effective therapies. In some embodiments, the invention relates to a method of classifying and compiling data taken from a cell sample from a subject analyzing the data, and converting the data from the system into a score by which a pathologist may calculate the likelihood that the subject develops cancer.

This disclosure is directed to novel CD133-binding agents. The disclosure is also directed to uses of novel CD133-binding agents for detecting CD133-expressing cells and/or quantitating levels of cellular CD133 expression, for targeting CD133-expressing cells, for decreasing levels of CD133 in CD133-expressing cells and for treating or preventing cancer.

The invention is directed to methods for identifying targets for antimicrobial and antiproliferative compounds as well as methods for identifying novel compounds for treating cancer and microbial infections.

Provided herein, in some embodiments, are methods of using certain cereblon-associated proteins, such as Aiolos, Ikaros, interferon (IFN), and IFN pathway proteins, casein kinase 1, alpha 1 (CSNK1A1), and ZFP9, as biomarkers for use in predicting and monitoring clinical sensitivity and therapeutic response to certain compounds in patients having various diseases and disorders, such as cancers (e.g., diffuse large B-cell lymphoma (DLBCL), multiple myeloma (MM), myelodysplasia syndromes (MDS) and acute myeloid leukemia (AML)) and IFN-associated disorders. Also provided herein, in certain embodiments, are methods of determining the efficacy of an immunomodulatory compound.

This invention relates to methods of treating cancer in a patient need thereof, e.g., in a human subject, comprising determining the level of soluble BCMA (sBCMA) in a sample from the patient, and administering to the patient an effective amount of a BCMA antigen binding protein, thereby treating the cancer in the patient. Also provided are kits for the treatment of cancer comprising a means for determining the level of sBCMA in a sample from a patient.

Methods are provided for diagnosing, detecting, or prognosticating a GEP-NEN based on the expression level score of biomarkers exhibiting differential expression in subjects having a GEP-NEN relative to a reference or control sample. The invention also provides compositions and kits comprising these biomarkers and methods of using these biomarkers in subsets or panels thereof to diagnose, classify, and monitor GEP-NEN and types of GEP-NEN. The methods and compositions provided herein may be used to diagnose or classify a subject as having a GEP-NEN, to distinguish between different stages of GEP-NENs, e.g., stable or progressive, to provide a measure of risk of developing a progressive GEP-NEN, and to gauge the completeness of treatments for GEP-NEN including, but not limited to surgery and somatostatin therapy.

The present invention provides methods of modulating of cancer immunity using type 2 innate lymphoid cells (IL-C2s), interleukin 33 (IL-33), IFI44 or combination thereof. Also provided are methods of preventing tumor metastasis and/or cancer progression by treatment with therapies comprising type 2 innate lymphoid cells (ILC2s), interleukin 33 (IL-33), IFI44 or combination thereof. Also provided are diagnostic methods for assessing cancer prognosis.

The disclosure provides methods of determining patient populations amenable or suitable for immunomodulatory treatment of disease such as cancer by measuring the relative or absolute levels of T-cell sub-populations correlated with disease such as cancer.

Described are methods for providing personalized medicine for the treatment of B cell malignancies including lymphoma. The methods make use of Chimeric Antigen Receptor (CAR) technology.

Disclosed herein are methods of selecting an allogeneic T cell line for therapeutic administration to a patient having or suspected of having a pathogen or cancer. Also disclosed are methods of selecting a donor from whom to derive an allogeneic T cell line for therapeutic administration to a patient having or suspected of having a pathogen or cancer.