The present invention provides compositions and methods for treating cancer in a patient. In one embodiment, the method comprises a first-line therapy comprising administering to a patient in need thereof a genetically modified T cell expressing a CAR wherein the CAR comprises an antigen binding domain, a transmembrane domain, a costimulatory signaling region, and a CD3 zeta signaling domain and monitoring the levels of cytokines in the patient post T cell infusion to determine the type of second-line of therapy appropriate for treating the patient as a consequence of the presence of the CART cell in the patient.

The invention provides a method of diagnosing Non-Alcoholic Steatohepatitis (NASH) and/or the hepatic fibrosis status of a subject, especially a subject afflicted with Non-alcoholic fatty liver disease (NAFLD) or NASH, based on the level of only three or more particular biomarkers. The invention further provides a kit suitable for performing said method and the use of said method and methods of treating patients diagnosed in accordance with the disclosed methods.

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 below a predetermined amount, the subject is treated as a high-risk patient.

The present invention provides a protein-based biomarker that is useful in qualifying ovarian cancer status in a patient. In particular, the biomarker of this invention is useful to classify a subject sample as ovarian cancer or non-ovarian cancer. The biomarker can be detected by SELDI mass spectrometry.

The present invention refers to an in vitro method for the diagnosis of colorectal cancer and/or pre-cancerous stage thereof.

A system and method for prediction of immunodominant epitopes is provided herein. MHCII peptidomics was used to discover complex bacterial epitopes and host antigen processing pathways. Novel insights into the features of antigenicity are leveraged to build an algorithm for prediction of immunodominant epitopes. Use of immunodominant epitopes is described.

In vitro method for discriminating latent from active TB. The present invention refers to an in vitro method for the differential diagnosis between active TB, preferably early stages of TB, and LTBI.

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 below a predetermined amount, the subject is treated as a high-risk patient.

A method of prognosing a course of disease progression and/or survival time in a subject diagnosed with ALS or FTD is disclosed. The method comprising: (a) detecting a level of miR-181 in a biological sample of the subject; and (b) determining the disease progression and/or survival time based on the level of the miR-181, wherein: (i) when the level of miR-181 is higher than that in a control sample, it is indicative of a rapid disease progression and/or poor survival; or (ii) when the level of miR-181 is about the same or lower than that in the control sample, it is indicative of a slow disease progression and/or good survival. Methods of prognosing a stage of disease in a subject diagnosed with ALS or FTD are also disclosed.

The present invention provides compositions and methods for treating cancer in a patient. In one embodiment, the method comprises a first-line therapy comprising administering to a patient in need thereof a genetically modified T cell expressing a CAR wherein the CAR comprises an antigen binding domain, a transmembrane domain, a costimulatory signaling region, and a CD3 zeta signaling domain and monitoring the levels of cytokines in the patient post T cell infusion to determine the type of second-line of therapy appropriate for treating the patient as a consequence of the presence of the CART cell in the patient.