The present invention pertains to a new method for the diagnosis, prognosis, stratification and/or monitoring of a therapy, of cancer in a patient. The method is based on the determination of the level of a panel of biomarkers selected from CEA, AREG, IL-6, GDF-15, HGF-receptor, CXCL9, ErbB4-Her4, CXCL10, Flt3L, VEGFR-2, CD69, CXCL5, PSA, EMMPRIN, Cathepsin-D, Caspase-3, TNF-alpha, and INF-gamma. The new biomarker panel of the invention allows diagnosing and even stratifying various cancer diseases. Furthermore provided are diagnostic kits for performing the non-invasive methods of the invention.

This disclosure relates to methods of diagnosing and predicting renal disease, using one, two, or more biomarkers, including sTN-FR1, sTNFR2, sFAS, TNF, and IL-6.

Described herein are compositions that inhibit/degrade STAT3, and methods of using such compositions for chemoprevention of non-small cell lung cancer (NSCLC).

A method of determining a management course for treating a subject showing symptoms of a disease is disclosed. The method comprises measuring the TRAIL protein level in a blood sample of the subject, wherein when the TRAIL level is above a predetermined amount, the subject is treated as a low-risk patient.

Methods for predicting the development of sepsis in a subject at risk for developing sepsis are provided. In one method, features in a biomarker profile of the subject are evaluated. The subject is likely to develop sepsis if these features satisfy a particular value set. Methods for predicting the development of a stage of sepsis in a subject at risk for developing a stage of sepsis are provided. In one method, a plurality of features in a biomarker profile of the subject is evaluated. The subject is likely to have the stage of sepsis if these feature values satisfy a particular value set. Methods of diagnosing sepsis in a subject are provided. In one such method, a plurality of features in a biomarker profile of the subject is evaluated. The subject is likely to develop sepsis when the plurality of features satisfies a particular value set.

Disclosed is a method of calculating a predictive score and for treating a human subject based on at least two biomarkers in the saliva of human subjects. The predictive score of the invention is used to predict the risk of an adverse clinical and/or treatment outcome in a human subject at risk of a clinical condition.

Diagnostic screening tests that can be used to identify if a patient is a good candidates for an implantable vagus nerve stimulation device. One or more analyte, such as a cytokine or inflammatory molecule, can be measured from a blood sample taken prior to implantation of a vagus nerve stimulator to determine the patient's responsiveness to VNS for treatment of an inflammatory disorder.

The present invention relates to a method for identifying inhibitors of breast cancer metastasis based on a screening with proteins that are specific for the secretome of a chondrocyte, preferably cytokines and/or chemokines. The ligands as identified lead to a decrease of the migration and/or a re-differentiation of a breast cancer cell and/or a reduction of the number and/or size of breast cancer metastases. The present invention further relates to a method for detecting breast cancer metastasis, comprising the step of detecting at least one protein that is specific for the secretome of a chondrocyte, and for methods for treating and/or preventing breast cancer metastasis in a patient in need thereof, comprising the step of administering an effective amount of at least one ligand for one protein that is specific for the secretome of a chondrocyte to said patient in need thereof.

The present inventors discovered that the above-mentioned problems can be solved by producing antigen-binding molecules that contain an antigen-binding domain whose antigen-binding activity varies depending on the concentration of a target tissue-specific compound. Use of antigen-binding molecules of the present invention enables various diseases that originate from a target tissue to be treated in a manner specific to the target tissue.

The disclosure provides, inter alia, methods of detecting IL-6 signaling activity in T cells in breast cancer patients, such as breast cancer patients in remission.