This invention relates to methods for predicting a prognosis of a patient with cancer in need of an anti-cancer treatment comprising measuring a cytokine score from a sample obtained from the patient. In some embodiments, the subject is administered an anti-cancer treatment, e.g., an anti-PD-1 antibody, following the cytokine score measurement. In some embodiments, the cancer is lung cancer.

A multi-analyte sensor includes a body having a proximal end and a distal end. A plurality of strips is connected to one end of the body and a plurality of electrical conductors run through the body and into the plurality of strips. Exposed portions of first and second electrical conductors running through first and second strips are coated with analyte-responsive materials, such as a first molecular imprinted polymer (MIP) and a second MIP, respectively. The first MIP has binding sites for a first target analyte and the second MIP has binding sites for a second target analyte. The multi-analyte sensor may be part of a sensing device that also includes a controller and a data store.

Disclosed are means, methods and compositions of matter useful for quantifying the potency of regenerative therapeutics based on utilization of immunotherapies to induce tissue repair. In one embodiment said immunotherapy with regenerative activity is a T regulatory cell based therapy for stroke whose potency is quantified by assessment of one or more from the following: a) basal production of regenerative factors; b) induced production of regenerative factors; c) ability to prevent apoptosis of a target cell of interest; d) ability to stimulation proliferation of a target cell; and e) ability to induce proliferation of a progenitor cell belonging to tissue type of which therapy is desired.

The invention relates to a method of predicting therapeutic responses to TNF blockers before anti-TNF therapy comprising analyzing immune parameters to selected stimuli in patients before therapy and its use for anti-TNF therapy. The invention relates also to a method of determining a predictive biomarker of response to anti-TNF therapy and to the use of the predictive biomarker obtained by the method.

The present disclosure relates to the field of laboratory diagnostics. Specifically, means and methods are disclosed for determining a patient's risk of suffering from acute kidney injury after a surgical procedure based on the detection of GDF-15, troponin T and/or a natriuretic peptide.

The present invention relates to methods and compositions for monitoring, diagnosis, prognosis, and determination of treatment regimens in subjects suffering from or suspected of having a renal injury. In particular, the invention relates to using a one or more assays configured to detect a kidney injury marker selected from the group consisting of Thymic stromal lymphopoietin, Vascular endothelial growth factor receptor 1, C—C motif chemokine 1, C—C motif chemokine 17, C—C motif chemokine 21, C—C motif chemokine 27, FLT-3 Ligand, Immunoglobulin G subclass 3, Interleukin-1 receptor type I, Interleukin-20, Interleukin-29, Interleukin-7, Platelet-derived growth factor A/B dimer, Platelet-derived growth factor A/A dimer, and MMP9:TIMP2 complex as diagnostic and prognostic biomarkers in renal injuries.

The present invention provides antibodies that show specific reactivity to disulfide-type HMGB1. Furthermore, the present invention provides methods for specifically measuring disulfide-type HMGB1 using the antibodies, and kits or reagents for the measurement. The present invention also provides methods for measuring total HMGB1 using such an antibody and an antibody that binds to both disulfide-type HMGB1 and reduced-type HMGB1 but does not bind to des-HMGB1, and kits or reagents for the measurement.

The present invention includes a method of characterizing disease activity in a systemic lupus erythematosus patient (SEE), comprising: obtaining a dataset associated with a blood, serum, plasma or urine sample from the patient, wherein the dataset comprises data representing the level of one or more biomarkers in the blood, serum, plasma or urine sample from each of (b) to (g); at least one innate serum or plasma mediator biomarker; at least one adaptive serum or plasma mediator; at least one chemokine/adhesion molecule biomarker; at least one soluble TNF superfamily biomarker; the inflammatory mediator biomarker SCF; at least one SLE-associated autoantibody specificity biomarker; and calculating a Lupus Disease Activity Immune

A method is provided for prognosing a risk in a patient diagnosed with a premalignant lesion of the breast of the lesion progressing to breast cancer, the method comprising: providing a tissue sample of the premalignant lesion; detecting one or more variants of Osteopontin (OPN) selected from OPN-a, OPN-b and OPN-c in the sample; and prognosing an elevated risk of the lesion progressing to breast cancer if OPN-b and/or OPN-c is detected and/or OPN-a is elevated above normal levels in the tissue sample. Methods of assessing risk of death from breast cancer, methods of treatment, and kits for prognosis are also provided herein.

Disclosed herein are methods for the treatment of an individual having an inflammatory bowel disease (“IBD”). The disclosed methods may include the detection of Oncostatin M (OSM) in a biological sample obtained from an individual having an IBD. The detection of OSM may be used to characterize the individual as a tumor necrosis factor (TNF) inhibitor (TNFi) responder or a TNFi non-responder for selection of appropriate treatment.