The present invention relates to the prediction of responsiveness to cancer immunotherapy of a subject based on the T-cell composition of the subject, and a therapeutic method using cancer immunotherapy based on the prediction. The present invention also provides a method for improving or maintaining responsiveness to cancer immunotherapy of a subject. Responsiveness to cancer immunotherapy is predict by determining a relative value of a CD4.sup.+ T-cell subpopulation, dendritic cell subpopulation, and/or CD8.sup.+ T-cell subpopulation correlated with a dendritic cell stimulation in an anti-tumor immune response in a sample derived from a subject. A composition for treating or preventing cancer comprising cells such as CD62L.sup.lowCD4.sup.+ T-cells is also provided.

Disclosed herein are methods of treating and making prognostic prediction of, monitoring of therapeutic outcome for treatment of cervical carcinoma in a patient in need thereof by quantifying gene expression in a sample, wherein the genes include 10 high risk genes; calculating the subject's survival risk score by determining the protein expression levels and their relationships using machine learning (ML) and artificial intelligence. The survival risk category of a patient is determined by the consensus or plurality voting of a large number of ML models that individually have excellent predictive potential, thus providing a very robust prognostic biomarker for cervical carcinoma.

Antibodies and antigen binding fragments that specifically bind to IL-7Rα are disclosed. Nucleic acids encoding the antibodies and antigen binding fragments, and vectors including the nucleic acid molecules are also provided. Methods for detecting a ca cancer or a cell that expresses IL-7Rα using the antibodies and antigen binding fragments are disclosed, as is the use of the antibodies and antigen binding fragments to prevent and/or treat a subject with a cancer that expresses IL-7Rα, such as acute lymphoblastic leukemia.

Methods and agents are provided for inhibiting interleukin 1 receptor accessory protein (IL1RAP) protein-protein interaction to treat a broad spectrum of diseases and conditions.

The present invention concerns antibody-like binding protein specifically binding to CD3 and binding specifically to at least one further antigen, for example CD123. The present invention also concerns antibody-like binding protein specifically binding to CD123 and binding specifically to at least one further antigen. The invention further concerns anti-CD3 antibodies and anti-CD123 antibodies. The invention also relates to pharmaceutical compositions comprising the antibody-like binding protein, anti-CD3 antibodies or anti-CD123 antibodies of the invention, and their use to treat cancer. The invention further relates to isolated nucleic acids, vectors and host cells comprising a sequence encoding said antibody-like binding protein, anti-CD3 or anti-CD123 antibody and the use of said anti-CD123 antibody as a diagnostic tool.

Antibodies and antigen binding fragments that specifically bind to IL-7Rα are disclosed. Nucleic acids encoding the antibodies and antigen binding fragments, and vectors including the nucleic acid molecules are also provided. Methods for detecting a ca cancer or a cell that expresses IL-7Rα using the antibodies and antigen binding fragments are disclosed, as is the use of the antibodies and antigen binding fragments to prevent and/or treat a subject with a cancer that expresses IL-7Rα, such as acute lymphoblastic leukemia.

Measurement of circulating ST2 and/or IL-33 concentrations is useful for the prognostic evaluation of subjects, in particular for the prediction of adverse clinical outcomes, e.g., mortality, and the detection of severe disease.

Ex vivo determination of increased tumor immunogenicity of a tumor biopsy is used as a guide to identify immunotherapy of a tumor in a patient. Most preferably, the ex vivo tests will include exposure of biopsy samples to stress conditions to produce pretreated tumor cells that are then assayed with immune competent cells for increased activation or activity. Test conditions include exposure of the biopsy samples to immune stimulatory compositions, antibodies against neoepitopes, and/or modified cells, and an increase of immunogenicity is preferably determined by their exposure to T cells and/or NK cells.

The present disclosure relates to methods and compositions for treating traumatic brain injury (TBI) and TBI-associated impairments and improving outcome in subjects that have sustained traumatic brain injury comprising administering to the subject a sgp130 or an agent that promotes the binding of sgp130 and sIL-6R and/or reduces sIL-6R mediated trans-signaling. The present disclosure also relates to methods and kits for identifying a subject that is at risk of developing a TBI-associated impairment (e.g., headache, depression, cognitive deficits, and seizure) or monitoring the responsiveness to a treatment regimen for a TBI-associated impairment in the subject, using biomarkers (e.g., white blood cells indices (e.g., Neutrophil-Lymphocyte Ratio (NLR), absolute lymphocyte counts), sIL-6R, sgp130, IL-6, sgp130:sIL-6R ratio, sIL-2Ra, IL-2, sIL-2Ra:IL-2 ratio, TNFα, TNFRI, and TNFRI:TNFα ratio).

The present application provides an antibody targeting interleukin 36R, a preparation method therefor, and an application thereof. Specifically, the present application provides an IL-36R antibody having high affinity and high bioactivity. The antibody can bind to IL-36R with high affinity, and can block the binding between an IL-36R ligand (α, β. γ) and the IL-36R and a signal path activated by the IL-36R ligand, thereby treating and/or preventing IL-36 related diseases.