The invention is a method of predicting response to therapy in a cancer patient by serial sampling the patient's cell-free tumor nucleic acids to determine a change in the number of mutations per amount of plasma.

The present invention is in the technical field of breast cancer management, and more particularly relates to the diagnosis and/or prognosing of triple-negative breast cancer (TNBC). The invention is more particularly based on the finding that specific biomarkers are abberantly expressed in patients suffering from a triple-negative breast cancer recurrence, and are highly related to the aggressiveness of this disease, and thus to survival of said patient.

Provided herein are methods of detecting cytokine signaling responsiveness in immune cells from a cancer subject and determining risk of relapse of cancer in a subject. The methods include isolating cells from a blood sample from the cancer subject thereby forming an isolated blood cell fraction that includes isolated blood sample cells, mixing the isolated blood sample cells with a cytokine, where the cytokine is selected from TGF, IL-10, IL-4 and IFN, and detecting the responsiveness of the isolated blood sample cells to the cytokine.

Aspects of the present invention provide a monoclonal antibody specific for BQ323636.1 and its use for prediction of tamoxifen resistance in breast cancer patients.

Provided are a monoclonal antibody specific for BQ323636.1, and its use for prediction of tamoxifen resistance in breast cancer patients.

The present invention pertains to the field of cancer prediction. Specifically, it relates to a method for predicting the risk of recurrence of bladder cancer in a subject after treatment of bladder cancer comprising the steps of determining the amount of at least one biomarker selected from the biomarkers shown in Table, and comparing the amount of said at least one biomarker with a reference amount for said at least one biomarker, whereby the risk of recurrence of bladder cancer is to be predicted. The present invention also contemplates a method for identifying a subject being in need of a further bladder cancer therapy. Encompassed are, furthermore, diagnostic devices and kits for carrying out said methods.

Methods of using T cell frequency (TCFR) in melanoma, e.g., as determined by high throughput DNA sequencing of the TCRB gene, as a predictor of disease progression and survival in patients with primary melanoma, and to select and treat subjects.

Provided herein is a method of detecting or predicting a relapse of multiple sclerosis in an individual afflicted with a form of multiple sclerosis, comprising: (a) providing a blood sample of the individual; (b) testing the blood sample to determine a protein activity or protein level, wherein the protein is Factor VIII, von Willebrand factor, or Protein C; and (c) detecting or predicting a relapse of multiple sclerosis in the individual if the protein activity or protein level is elevated compared to the protein activity or protein level in an individual not afflicted with the form of multiple sclerosis and patients' own baseline values. Also provided herein is a method of treating an individual afflicted with multiple sclerosis, who is experiencing a relapse or predicted to experience a relapse, comprising treating the individual by administering a dose of a steroid or anti-coagulation compound effective to alleviate the symptom of multiple sclerosis.

Methods and apparatuses for athletic performance and technique monitoring are disclosed. In one example, a sensor output is received associated with a movement of a user torso during a running motion. The sensor output is analyzed to identify an undesirable torso motion.

Provided herein are methods for assessing risk of infection or cardiovascular disease (CVD) in a subject with an inflammatory disease, e.g., rheumatoid arthritis. The methods include performing immunoassays to generate scores based on quantitative data for expression of biomarkers relating to inflammatory biomarkers with or without additional clinical variables to assess infection and CVD risk. Also provided are uses of inflammatory biomarkers for guiding treatment decisions.