Patent classifications
G01N33/57423
Tumstatin Assay
The present invention relates to an assay for detecting Tumstatin, and its use in evaluating lung cancers, such as non-small cell lung cancer (NSCLC), chronic kidney disease (CKD), such as CKD resulting from diabetes, lupus nephritis (LN) and systemic lupus erythematosus (SLE).
Methods for diagnosis and treatment of patients having solid tumors
Methods for diagnosing a subject as a candidate for removal of a solid tumor without preoperative chemoradiation therapy, and methods for treating patients having solid tumors, who have one or more of genomic instability, elevated double stranded DNA breaks, elevated gamma-H2AX foci, or elevated replication stress and/or double stranded break-signalling (DSB-signalling) biomarkers in peripheral blood lymphocytes (PBLs) are provided herein.
Methods related to bronchial premalignant lesion severity and progression
The technology described herein is directed to methods of treating and diagnosing bronchial premalignant lesions, e.g. by determining the lesion subtype using one or more biomarkers described herein.
SYSTEMS AND METHODS FOR DESIGNING ACCURATE FLUORESCENCE IN-SITU HYBRIDIZATION PROBE DETECTION ON MICROSCOPIC BLOOD CELL IMAGES USING MACHINE LEARNING
In some embodiments, a non-transitory processor-readable medium stores code representing instructions to be executed by a processor. The code includes code to cause the processor to receive a plurality of sets of images associated with a sample treated with fluorescence in situ hybridization (FISH) probes. Each image from that set of images is associated with a different focal length using a fluorescence microscope. Each FISH probe can selectively bind to a unique location on chromosomal DNA in the sample. The code further causes the processor to identify cell nuclei in the images. The code further causes the processor to apply a convolutional neural network (CNN) to each set of images. The CNN is configured to identify a probe indication from a plurality of probe indications for that set of images. The code further causes the processor to identify the sample as containing circulating tumor cells.
AHR INHIBITORS AND USES THEREOF
The present invention provides methods for selecting a cancer patient who is AHR nuclear positive, and methods for treating cancer comprising selecting a cancer patient who is AHR nuclear positive, and administering to the patient an AHR inhibitor.
COMPANION DIAGNOSIS BIOMARKER COMPOSITION AND COMPANION DIAGNOSIS KIT CONTAINING SAME
The present invention relates to a companion diagnosis biomarker composition and a companion diagnosis kit containing the same and, particularly, to a companion diagnosis biomarker composition for predicting a therapeutic response to at least one immune checkpoint inhibitor from among a PD-1 immune checkpoint inhibitor and a PD-L1 immune checkpoint inhibitor, and a companion diagnosis kit containing the same. According to the present invention, there is an effect that it is possible to predict a therapeutic response to at least one immune checkpoint inhibitor from among a PD-1 immune checkpoint inhibitor and a PD-L1 immune checkpoint inhibitor not only through a companion diagnosis through cancer patient tissues, but also through proteomic analysis of cancer patient blood.
Method for the diagnosis and prognosis of cancer
The present invention provides methods and materials for diagnosing cancer in an individual using a tissue, blood or urine sample from the patient. Specifically, the disclosed method comprises determining the level of one or more metabolite selected from the group consisting of creatine riboside, metabolite 561+, cortisol sulfate and N-acetylneuraminic acid. The present invention also provides a method for determining the prognosis of a cancer patient by determining the level of one or more metabolite selected from the group consisting of creatine riboside, metabolite 561+, cortisol sulfate and N-acetylneuraminic acid. Also provided are kits for detecting cancer or determining the prognosis of a cancer patient.
Compositions, Methods and Kits for Diagnosis of Lung Cancer
The present invention provides methods for identifying biomarker proteins that exhibit differential expression in subjects with a first lung condition versus healthy subjects or subjects with a second lung condition. The present invention also provides compositions comprising these biomarker proteins and methods of using these biomarker proteins or panels thereof to diagnose, classify, and monitor various lung conditions. The methods and compositions provided herein may be used to diagnose or classify a subject as having lung cancer or a non-cancerous condition, and to distinguish between different types of cancer (e.g., malignant versus benign, SCLC versus NSCLC).
METHODS AND KITS FOR ANALYSIS OF HMGB1 ISOFORMS
In accordance with some embodiments herein, methods of determining signatures of HMGB1 isoforms in a subject are provided. In some embodiments, antibodies that bind specifically to HMGB1 isoforms are provided. In some embodiments, immunoassay kits are provided.
ANTI-TM4SF4 ANTIBODY AND USES THEREOF
The present invention relates to novel antibodies or antigen-binding fragments thereof that specifically bind to TransMembrane 4 Superfamily Member 4 (TM4SF4). These antibodies or antigen-binding fragments thereof exhibit proliferation inhibitory activity of cancer cells so as to effectively prevent or treat cancer, and reduce the self-renewal ability of cancer stem cells to be usefully used even in the treatments of cancer with a poor prognosis in conventional anticancer treatments.