G01N33/57407

MATERIALS AND METHODS FOR THE DIAGNOSIS AND TREATMENT OF CANCER

The present disclosure provides a method of diagnosing cancer in a subject comprising contacting a blood sample from the subject with an hyaluronidase 2-binding agent and detecting a level of hyaluronidase 2-positive myeloid cells in the blood sample, wherein an elevated level of hyaluronidase 2-positive myeloid cells in the blood sample identifies the subject as suffering from cancer. Methods comprising administering a cancer therapy to a subject identified as suffering from cancer are also provided.

Methods for Treating and Monitoring the Status of Cancer

Provided herein are methods for treating cancer in a subject comprising administering to the subject a therapeutically effective amount of a peptide derived from the EphA2 protein and/or the IL-13Rα2 protein and monitoring the amount of cancer stem cells in the subject. Also provided herein are methods for monitoring the efficacy of an EphA2 peptide-based cancer treatment or an IL-13Rα2 peptide-based cancer treatment in a patient with cancer, comprising monitoring the amount of cancer stem cells in the subject prior to, during, and/or following cancer treatment of a patient.

BIOMARKERS FOR PREDICTING OVERALL SURVIVAL IN RECORRENT/METASTATIC HEAD AND NECK SQUAMOUS CELL CARCINOMA
20230374597 · 2023-11-23 ·

The present disclosure generally relates to methods for treating head and neck squamous cell carcinoma patients based on use of blood-based tumor mutation burden, PD-L1 expression, expression levels of immunomodulators, pro-angiogenesis markers and pro-inflammatory markers and/or identification of mutations in circulating tumor DNA.

Peptides and combination of peptides for use in immunotherapy against prostate cancer and other cancers

The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

IL13Rα2 binding agents and use thereof

Provided are specific binding molecules, or fragments thereof, that bind to an epitope of IL13Rα2, a receptor polypeptide preferentially found on the surface of cancer cells rather than healthy cells. Exemplary specific binding molecules are bispecific binding molecules that comprise a fragment of an IL13Rα2 binding molecule and a peptide providing a second function providing a signaling function of the signaling domain of a T cell signaling protein, a peptide modulator of T cell activation, or an enzymatic component of a labeling system. Also provided are polynucleotides encoding such a specific binding molecule (e.g., bispecific binding molecule), vectors, host cells, pharmaceutical compositions and methods of preventing, treating or ameliorating a symptom associated with a cancer disease such as a solid tumor disease (e.g., glioblastoma multiforme).

Methods for early detection of cancer

Disclosed herein are methods, compositions, and devices for use in the early detection of cancer. The methods include preparing cell-free nucleic acid molecules from a subject for sequencing, sequencing a panel of regions in the cell-free nucleic acid molecules, and detecting one or more markers that are indicative of a cancer.

Methods for computer processing sequence reads to detect molecular residual disease

Disclosed herein are methods for use in detection of molecular residual disease. The methods may comprise deep sequencing a panel of genomic regions in cell-free DNA molecules and computer processing sequence reads to detect variants that are indicative of molecular residual disease.

METHODS FOR COMPUTER PROCESSING SEQUENCE READS TO DETECT MOLECULAR RESIDUAL DISEASE

Disclosed herein are methods for use in detection of molecular residual disease. The methods may comprise deep sequencing a panel of genomic regions in cell-free DNA molecules and computer processing sequence reads to detect variants that are indicative of molecular residual disease.

BIOMARKERS FOR NON-HODGKIN LYMPHOMAS AND USES THEREOF

The disclosure provides a method of identifying a subject as having B-cell non-Hodgkin lymphoma (NHL) such as testing a sample from a subject for a mutation in one or more biomarkers. Also described are methods for classifying or monitoring a subject having, or suspected of having, B-cell non-Hodgkin lymphoma comprising testing the sample for a mutation in one or more biomarkers.

SYSTEMS AND COMPOSITIONS FOR DIAGNOSING BARRETT'S ESOPHAGUS AND METHODS OF USING THE SAME
20220291219 · 2022-09-15 ·

The invention provides a system, composition, and methods of using the systems and compositions for the analysis of a sample from a subject to accurately diagnose, prognose, or classify the subject with certain grades of or susceptibility to Barrett's esophagus. In some embodiments, the system of the present invention comprises a means of detecting and/or quantifying morphological features, the expression of protein, or the expression of nucleic acids in a plurality of cells and correlating that data with a subject's medical history to predict clinical outcome, treatment plans, preventive medicine plans, or effective therapies. In some embodiments, the invention relates to a method of classifying and compiling data taken from a cell sample from a subject analyzing the data, and converting the data from the system into a score by which a pathologist may calculate the likelihood that the subject develops cancer.