The present invention relates to a method for manufacturing a surface-enhanced Raman scattering substrate, a urine pretreatment method, and a method for providing information required for cancer diagnosis through urine metabolite analysis using same.

The present invention aims to provide a method for simply and highly accurately detecting castration-resistant prostate cancer (CRPC), and a reagent that can be used for this method. By measuring the level of GDF15 propeptide present in a sample as a novel detection marker for CRPC, acquisition of castration resistance in a prostate cancer patient during or after endocrine therapy is detected. An antibody that specifically recognizes GDF15 propeptide is included in the CRPC detection reagent.

Disclosed herein are methods for a RNA in situ hybridization assay workflow for the detection of target RNA within intact cells for the detection of prostate cancer cells in urine samples. The methods disclosed herein can identify a genetic susceptibility to prostate cancer in a subject and differentiate high risk from low risk prostate cancers. The methods disclosed herein can also include treatment and management strategies for prostate cancer and the prevention thereof.

The present invention relates to an antibody specifically binding the carboxymethylated catalytic subunit of protein phosphatase 2A (PP2Ac). Also provided are diagnostic uses of said antibody and screening methods employing the inventive antibody.

In particular, the present invention relates to a PSMA binding ligand comprising an oligosaccharide building block which comprises a bond being cleavable by alpha-amylase.

Typically, this PSMA binding ligand further comprises a PSMA binding motif Q and a chelator residue A, wherein the PSMA binding motif Q and the chelator residue A are preferably linked via at least one linker L.sup.AQ comprising the oligosaccharide building block, the PSMA binding ligand thus preferably having the structure (I)

A-L.sup.AQ-Q

or a pharmaceutically acceptable salt or solvate thereof.

Provided herein are methods and systems of molecular profiling of diseases, such as cancer. In some embodiments, the molecular profiling can be used to identify treatments for a disease, such as treatments that were not initially identified as a treatment for the disease or not expected to be a treatment for a particular disease.

The present invention relates to a method of assisting the diagnosis of metastatic castration resistant prostate cancer, including measuring an amount of an extracellular vesicle having phosphatidylserine and a prostate specific membrane antigen in a biological specimen derived from a subject; and determining whether or not the subject has metastatic castration resistant prostate cancer by using, as an indicator, the amount of the extracellular vesicle having phosphatidylserine and a prostate specific membrane antigen.

Automated, machine learning-based systems are described for the analysis and annotation (i.e., detection or delineation) of prostate cancer (PCa) on histologically-stained pathology slides of prostatectomy specimens. A technical framework is described for automating the annotation of predicted PCa that is based on, for example, automated spatial alignment and colorimetric analysis of both H&E and IHC whole-slide images (WSIs). The WSIs may, as one example, be stained with a particular triple-antibody cocktail against high-molecular weight cytokeratin (HMWCK), p63, and α-methylacyl CoA racemase (AMACR).

Described herein are novel conjugates containing an inhibitor (e.g., a PSMA inhibitor, e.g., a gastrin-releasing peptide receptor inhibitor) and metal chelator that are covalently attached to a macromolecule (e.g., a nanoparticle, a polymer, a protein). Such conjugates exhibit distinct properties over the free, unbound inhibitor/chelator construct.

The present invention provides a method for determining the prognosis of cancer in a subject. The method comprises measuring the amount of megakaryocytes in a sample from the subject. Usually, the sample is a blood sample. The method may also comprise measuring the number of circulating tumour cells (CTCs) in the sample, and in some embodiments a comparison of the number of megakaryocytes and CTCs in the sample. The present invention also provides methods of treatment for cancer in a patient for whom a poor prognosis is predicted using a method of prognosis of the invention.