The present disclosure provides systems and methods for the highly sensitive and effective treatment and diagnosis of cancer. The methods disclosed herein take advantage of the discovery of a series of newly identified, inter-chromosomal genetic fusion events that occur upstream from the IGF2BP3 gene, which result in elevated expression of IGF2BP3 protein. The present disclosure utilizes biomarkers developed using this set of newly discovered genetic fusion events and elevated expression of IGF2BP3 protein to not only diagnosis cancer with high sensitivity and reliability, but also to pre-select patient populations that are expected to display an elevated likelihood of success when treated with any of numerous inhibitors of IGF1R-mediated signaling.

The methods and assays described herein relate to detection, diagnosis, and treatment of lung cancer, e.g., by detecting the level of expression of certain miRNAs described herein and/or by therapeutically increasing the level of those miRNAs.

The present invention relates to antibodies and fragments that bind to a V-domain Ig Suppressor of T cell Activation (VISTA), and methods of eliciting certain biological responses using the antibodies. Methods of identifying anti-VISTA antibodies capable of eliciting certain biological responses are also included.

Described herein are compositions and methods for predicting drug responsiveness in cellular samples from cancer subjects. Described herein are compositions and methods that can help determine treatment options and select subjects for clinical trials.

The present disclosure relates to compounds that are useful as near-infrared fluorescence probes, wherein the compounds include i) a pteroyl ligand that binds to a target receptor protein, ii) a dye molecule, and iii) a linker molecule that comprises an amino acid or derivative thereof. The disclosure further describes methods and compositions for incorporating the compounds as used for the targeted imaging of non-small cell lung cancer (NSCLC) in human subjects. Conjugation of the amino acid linking groups increase specificity and detection of the compound. Methods and compositions for use thereof in diagnostic imaging are contemplated.

The present invention relates to compositions and methods for characterizing, diagnosing, and treating cancer. In particular the invention provides the means and methods for the diagnosis, characterization, prognosis and treatment of cancer and specifically targeting cancer stem cells. The present invention provides a soluble FZD receptor comprising an extracellular domain of a human FZD receptor that inhibits growth of tumor cells. The present invention still further provides a soluble receptor comprising a Fri domain of a human FZD receptor that binds a ligand of a human FZD receptor and said soluble receptor is capable of inhibiting tumor growth. The present invention still further provides a method of treating cancer comprising administering a soluble FZD receptor comprising for example, either an extracellular domain of a human FZD receptor or a Fri domain of a human FZD receptor, in an amount effective to inhibit tumor growth.

A method for enhancing gating performance of a cell sorter to prepare an enriched specimen for optical tomography cell analysis includes introducing a specimen into a FACS to generate 2D event data; generating a first scatterplot of the 2D data; identifying target objects; constructing a boundary within the first scatterplot to produce a first gate; counting target objects within the first gate; comparing the number of target objects within the first gate to a first predetermined value and adjusting the first gate as necessary. A boundary around a set of target objects is constructed in a second scatterplot to produce a subset second gate and target objects within the second gate are counted and the count compared to a second predetermined value. When a boundary around target objects meets specifications the first and second gates are stored in memory and used to enrich patient specimens.

The present disclosure provides methods of that include detecting in a biological sample from a patient having or suspected of having cancer the presence of a polypeptide having ROS1 kinase activity or a polynucleotide encoding the same and detecting in the biological sample the presence of a mutant EGFR polypeptide or a polynucleotide encoding the same. In some aspects, the disclosure provides methods of treating a patient tor cancer that include determining that a biological sample from a tumor in the patient includes a polypeptide having ROS1 kinase activity or a polynucleotide encoding the same and a mutant EGFR polypeptide or a polynucleotide encoding the same and administering to the patient a therapeutically effective amount of a ROS1 inhibitor and an EGFR inhibitor, thereby treating the patient for cancer.

A cancer prediction engine receives a digital image of a tissue biopsy stained for a presence of a biomarker associated with a presence of cancer in the tissue, determines a set of color attribute values of a color space for each pixel of the digital image, classifies, in view of the color attribute values, each pixel of the digital image between a first subset of pixels depicting tissue and a second subset of pixels not depicting tissue, determines whether the digital image depicts cancerous tissue in view of a number of pixels in the second subset of pixels, and responsive to determining that the digital image depicts cancerous tissue, determines a predicted cancer stage for the digital image of the tissue biopsy based at least in part on a color intensity category associated with the color attribute values for each pixel of the first subset of pixels.

The invention provides anti-mesothelin antibodies and immunoconjugates and methods of using the same.