G01N33/57449

METHOD OF DIAGNOSING OR PROGNOSING EPITHELIAL OVARIAN CANCER

The present invention provides a binding moiety which selectively binds to Sox11 protein and/or mRNA for imaging, diagnosis or prognosis of epithelial ovarian cancer (EOC). Optionally, the moiety is an antibody or antigen-binding fragment thereof. Advantageously, moiety comprises a further, readily detectable moiety. The invention also provides methods of imaging EOC cells as well as methods of diagnosing or prognosing EOC in an individual. A further aspect of the present invention provides a method of identifying cells associated with EOC, the method comprising analysing the pattern of gene expression in a sample of cells to be tested and comparing it to the pattern of gene expression in a sample of known lymphomas cells. Preferably, the cells to be tested are identified as EOC cells if the expression of Sox11 is up-regulated compared to normal B-cells. Preferably EOC cells are identified as improved recurrence-free survival-associated if expression of Sox11 is up-regulated compared with non-cancerous epithelial ovarian cells. Preferably, EOC cells are identified as diminished recurrence-free survival-associated if expression of Sox11 is similar to, or down-regulated, compared with non-cancerous epithelial ovarian cells.

SYSTEMS AND METHODS FOR PREDICTING THERAPEUTIC SENSITIVITY

Methods, systems, and software are provided for using organoid cultures, e.g., patient-derived tumor organoid cultures, to improve treatment predictions and outcomes.

OVARIAN CANCER BIOMARKER AND METHODS OF USING SAME
20220390453 · 2022-12-08 · ·

The present invention provides a novel ovarian cancer marker, Arresten, and related methods, agents, and kits using same. The invention includes methods for detecting or diagnosing ovarian cancer, especially at early stages of the disease. The invention also includes methods of assessing the severity of ovarian cancer and monitoring responses to treatment for ovarian cancer using the biomarker.

USE OF DKK-1 INHIBITORS FOR TREATING CANCER
20220381786 · 2022-12-01 ·

A method of treating a cancer in a subject, in need thereof, comprising determining a DKK1 expression H-score or % positive in a sample of the subject's cancer; and administering a DKK1 antagonist to the subject determined to have the DKK1 expression H-score or % positive equal to or greater than a predetermined value.

Metabolic biomarker set for assessing ovarian cancer

The present invention relates to new biomarkers for assessing ovarian cancer being more sensitive, particularly at early stage of disease. Moreover, the present invention relates to a method for assessing ovarian cancer from a patient to be examined, and to a kit for carrying out the method.

Peptoid compound and manufacturing method thereof, oligomer, pharmaceutical composition, and kit

A peptoid compound, a manufacturing method of a peptoid compound, an oligomer, a pharmaceutical composition, use of the pharmaceutical composition in the preparation of a medicament for detecting or diagnosing a disease related to tyrosine kinase HER2, and a kit for identifying circulating tumor cells are provided, the peptoid compound includes: a cysteine (Cys) subunit, a butanediamine (Nlys) subunit, a 3,4-methylenedioxybenzylamine (Npip) subunit, a 3-aminopropanic acid (Nce) subunit and a 1-naphthylamine (Na) subunit, and both the peptoid compound and the oligomer have a strong ability to bind to HER2 protein on surfaces of circulating tumor cells (CTCs), and a technology of diagnosing breast cancer on the basis of the peptoid compound can realize non-invasive and label-free rapid diagnosis, in addition, the methods for synthesizing the peptoid compound and the oligomer are simple, the preparation efficiency is high, and the production cost is low.

BIOMARKERS FOR DIAGNOSING OVARIAN CANCER

Set forth herein are glycopeptide biomarkers useful for diagnosing diseases and conditions, such as ovarian cancer. Also set forth herein are methods of generating glycopeptide biomarkers and methods of analyzing glycopeptides using mass spectroscopy. Also set forth herein are methods of analyzing glycopeptides using machine learning systems.

METHOD FOR ACQUIRING DATA FOR DISTINGUISHING PRESENCE OF CANCER CELLS AND/OR DISTINGUISHING ANTICANCER DRUG RESISTANCE, METHOD FOR ACQUIRING PREDICTION DATA, USE OF DISTINCTION MARKER IN SAME, AND DISTINGUISHING KIT
20220365087 · 2022-11-17 · ·

The present invention aims to provide a method of acquiring data for determination of, and a method of acquiring prediction data on the presence of cancer cells and/or the resistance to anticancer drugs, use of a marker for determining thereof, and a kit for determining thereof, in particular, to determine the resistance to anticancer drugs before administration of the anticancer drugs to patients. The resistance of cancer tissues of cancer patients to anticancer drugs can be determined by detecting polysulfide, which is a marker for the resistance to anticancer drugs, in the cancer tissues of the cancer patients before administration of the anticancer drugs.

Method for detecting an analyte using surface enhanced Raman spectroscopy

According to the present disclosure, a method for detecting an analyte using surface enhanced Raman spectroscopy (SERS) is provided. The method comprises (a) contacting one or more analyte-binding molecules with the analyte under conditions that allow binding of the analyte to the one or more analyte-binding molecules to form a first mixture, wherein the analyte is preferably haptogloblin and the analyte-binding molecule may comprise haemoglobin or is a haptogloblin antibody, (b) contacting a liquid reagent comprising a peroxidase substrate and a peroxide source with the first mixture to form a second mixture, while maintaining pH of the second mixture at 10 or less, (c) quenching the second mixture to form a third mixture, (d) optionally contacting the third mixture with a SERS-active substrate, and (e) detecting a surface enhanced Raman signal from the third mixture and/or a surface of the SERS-active substrate.

Predicting responders to cyclophosphamide therapy

The present disclosure is based on detecting CC chemokine receptor 4 (CCR4) expression on T effector cells to diagnostically or prophylactically predict subjects, in particular those with a gynaecological cancer who will respond to treatment with low dose cyclophosphamide.