Patent classifications
G01N33/541
Reagent kits for diagnosis of hepatocarcinoma
The present invention relates to reagent kits for in vitro measurement of YKL-40 and MASP2 and diagnosis of hepatocarcinoma of a test individual.
Anti-CTLA4 antibodies
The present invention belongs to the fields of tumor therapy and molecular immunology. The present invention relates to an anti-CTLA4 antibody, pharmaceutical composition and use thereof. The anti-CTLA4 antibody of the present invention can specifically bind CTLA4, and can very effectively block the binding of CLTA4 to B7.
Anti-CTLA4 antibodies
The present invention belongs to the fields of tumor therapy and molecular immunology. The present invention relates to an anti-CTLA4 antibody, pharmaceutical composition and use thereof. The anti-CTLA4 antibody of the present invention can specifically bind CTLA4, and can very effectively block the binding of CLTA4 to B7.
SYSTEMS, METHODS, AND COMPOSITIONS TO IDENTIFY NEW PROTEIN TARGETS OF A CHEMICAL COMPOUND OR ITS DERIVATIVES
Systems and methods to identify new protein targets of a chemical compound or its derivatives were described. The methods can be used for detection of new binding partners as long as the chemical compound can covalently bind to the protein targets. Once protein targets are resolved, information related to new protein targets can then be used to couple with real-world patient data such as adverse events, efficacy data, and disease correlation data to deduce real-world evidence. Systems collectively with all this information can aide clinical development and use of pharmaceutical drug. Methods are provided for detection of covalently bound phenyl vinyl sulfone (PVS) or its derivatives, and afatinib or its derivatives. Furthermore, generation of antiserum recognizing carrier bound PVS or carrier bound afatinib is described. PRMT1 is described as a new target of PVS and RRM1, RRM2, and NFKB are described as new targets of afatinib.
METHODS AND AGENTS FOR DETERMINING PATIENT STATUS
Disclosed are methods and agents for predicting response to therapy, immune status and/or disease progression. More particularly, disclosed are methods, agents and kits for analyzing cellular distribution of PD-L2, including its nuclear localization, for stratifying a patient as a likely responder or non-responder to a therapy, for predicting treatment outcome of a patient with a therapy, for managing treatment of a patient with a therapy, for monitoring a disease in a patient following treatment with a therapy, for determining the status of a disease and/or for determining the immune status of a patient.
KITS AND METHODS FOR DETECTING MARKERS
This disclosure provides kits and methods for detecting markers in a sample from a subject with unknown status and generating a risk assessment of the presence or absence of cancer, such as colorectal cancer. In embodiments, a kit comprises at least two reagents, each specifically binding to one of at least two polypeptides in a sample from the subject. The polypeptides include IL-8 and ferritin. The kit further includes at least one standard comprising a known amount of at least one of the polypeptides. The kit can also include computer readable media comprising instructions to analyze the detected amounts of the at least two polypeptides using a machine learning algorithm to determine whether a subject has an increased risk of the presence of colorectal cancer.
KITS AND METHODS FOR DETECTING MARKERS
This disclosure provides kits and methods for detecting markers in a sample from a subject with unknown status and generating a risk assessment of the presence or absence of cancer, such as colorectal cancer. In embodiments, a kit comprises at least two reagents, each specifically binding to one of at least two polypeptides in a sample from the subject. The polypeptides include IL-8 and ferritin. The kit further includes at least one standard comprising a known amount of at least one of the polypeptides. The kit can also include computer readable media comprising instructions to analyze the detected amounts of the at least two polypeptides using a machine learning algorithm to determine whether a subject has an increased risk of the presence of colorectal cancer.
Digital affinity linkage assay
Methods of detecting a target in a sample are provided. Kits for performing the methods described herein are also provided.
Digital affinity linkage assay
Methods of detecting a target in a sample are provided. Kits for performing the methods described herein are also provided.
Lateral Flow Analyte Detection
Lateral flow methods and apparatuses for detecting one or more analytes are provided. Certain embodiments provide a lateral flow device, kit and method of using the same, comprising: a flow path defined by a permeable sub-assembly of the lateral flow device, a release zone comprising a plurality of peptide-tagged agents, and a detection zone comprising a plurality of anti-peptide agents present in the flow path at a ratio of at least 100:1, on a weight:weight basis, relative to the plurality of peptide-tagged agents.