The invention provides methods and tools, for example, glycan arrays, for the analysis of glycans and anti-glycan antibodies. Embodiments of the invention may be used to detect proteins, antibodies, diseases and/or pathogenic agents. In other embodiments, methods of the invention are used to develop or optimize arrays and antibodies.

This disclosure provides methods, sets, and kits for predicting and identifying druggable targets for treating cancer. This disclosure further provides methods of treating cancer.

Methods and formulations for diagnosing metabolic disorders in humans using epimetabolic shifters, multidimensional intracellular molecules or environmental influencers are described.

This invention relates to humanized antibodies that selectively bind the 31.1 epitope on the A33 protein differentially expressed in cancers including, lung cancer, ovarian cancer, pancreas cancer, breast cancer, and colon cancer, and diagnostic and therapeutic usages.

Provided herein are de novo binding domain containing polypeptides (DBDpp) that specifically bind a target of interest. Nucleic acids encoding the DBDpp, and vectors and host cells containing the nucleic acids are also provided. Libraries of DBDpp, methods of producing and screening such libraries and the DBDpp identified from such libraries and screens are also encompassed. Methods of making and using the DBDpp are additionally provided. Such uses include, without limitation, affinity purification, and diagnostic and therapeutic applications.

An object of the present invention is to provide a novel marker that can be used to predict the effect of anti-PD-1 antibody/anti-PD-L1 antibody therapy with high sensitivity, and use thereof. Provided is a biomarker for predicting the effect of anti-PD-1 antibody/anti-PD-L1 antibody therapy, including an immunoglobulin superfamily containing leucine-rich repeat (ISLR).

The present invention relates to combination therapies useful for the treatment of cancer. In particular, the invention relates to a therapeutic combination which comprises an anti-PD-L1 antibody and an IDO1 inhibitor. The therapeutic combination is particularly intended for use in treating a subject having a cancer that tests positive for PD-L1 or IDO1 expression.

A system and method for using new biomarkers to assess individual diseases is provided. In one embodiment of the present invention, absolute quantification of annotated metabolites by mass spectrometry is used to identify certain biomarkers and derivatives thereof (i.e., signatures), which are then used to screen for, diagnose, predict, prognose, and treat various diseases, including, but not limited to, breast cancer, ovarian cancer, colorectal cancer, pancreatic cancer, and acute graft-versus-host disease.

The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

The present invention provides, inter alia, methods, pharmaceutical compositions, and kits for treating or ameliorating the effects of a cancer in a subject, which cancer is refractory or resistant to non-ERK MAPK pathway inhibitor therapy. Also provided are methods for identifying a subject having cancer who would benefit from therapy with an ERK inhibitor and methods for inhibiting phosphorylation of RSK in a cancer cell that is refractory or resistant to a non-ERK MAPK pathway inhibitor.