IL33 antagonists alone or in combination with IL-4R antagonists can be used to treat or inhibit eosinophilic asthma, eosinophilic COPD, eosinophilic ACOS, and nasal polyps in a subject having one or more risk alleles in the intronic IL1RL1 variant rs1420101, in the IL33 variant rs1342326, in both, or in variants in linkage disequilibrium thereof.

A method of diagnosing prostatic diseases such as prostate cancer, prostatic hyperplasia, and the like through bacterial metagenomic analysis, and more particularly, to a method of diagnosing prostate cancer or prostatic hyperplasia by analyzing an increase or decrease in content of extracellular vesicles derived from specific bacteria through bacterial metagenomic analysis using a subject-derived sample. An extracellular vesicle secreted from a bacterium present in the environment can be absorbed into the body and directly affect the occurrence of inflammation and cancer, and prostatic diseases such as prostate cancer, prostatic hyperplasia, and the like is difficult to diagnose early on before any symptom appears, which makes efficient treatment difficult. As such, through the metagenomic analysis on a gene present in a bacterium-derived extracellular vesicle using a human body-derived sample according to the present invention, the risk of the onset of prostate cancer and prostatic hyperplasia can be predicted in advance.

The invention provides compositions, devices, methods and kits allowing for rapid diagnosis of infectious diseases via extraction-free, direct PCR techniques using combined biological samples.

Provided herein are methods for detecting a head and neck cancer of the oral cavity or throat, optionally oral squamous cell carcinoma, comprising executing the step of determining the expression of two or more miRNA in a biological sample obtained from a subject, wherein the two or more miRNA are selected from the group consisting of hsa-let-7a, hsa-miR-16, hsa-miR-21, hsa-miR-451, hsa-miR-486-5p and hsa-miR-92a-3p, and wherein the level of expression of said two or more niiRNAs in the biological sample relative to the level of expression of said two or more miRNAs in one or more cancer-free reference samples is indicative of the presence of a head and neck cancer of the oral cavity or throat of the subject.

Determining acute ischemic stroke (AIS) etiology is crucial for guidance of secondary prevention. Here, the inventors performed a correlation analysis between AIS etiology and AIS thrombus cellular composition and content, as assessed using quantitative biochemical assays. In particular, homogenates of 250 AIS patient thrombi were prepared by mechanical grinding. Platelet, red blood cell, and leukocyte content of AIS thrombi were estimated by quantification of glycoprotein (GP)VI, heme, and DNA in thrombus homogenates. AIS etiology was defined as cardioembolic, non-cardioembolic, or embolic stroke of undetermined source (ESUS), according to the TOAST classification. Cardioembolic thrombi were richer in DNA (35.8 vs 13.8 ng/mg, p<0.001) and poorer in GPVI (0.104 vs 0.117 ng/mg, p=0.045) than non- cardioembolic ones. The area under the receiver operating characteristic curve of DNA content to discriminate cardioembolic thrombi from non-cardioembolic was 0.72 (95% Cl, 0.63 to 0.81). With a threshold of 44.7 ng DNA/mg thrombus, 47% of thrombi from undetermined etiology would be classified as cardioembolic with a specificity of 90%. In conclusion, thrombus DNA content may provide an accurate biomarker for identification of cardioembolic thrombi in AIS patients with ESUS.

The present invention includes a method for analyzing RNA fragments. In one aspect, the present invention includes a method of identifying a subject in need of therapeutic intervention to treat a disease or condition, disease recurrence, or disease progression comprises characterizing the identity of rRNA fragments. The invention also includes diagnosing, identifying or monitoring a disease or condition, and a method for identifying rRNA fragments. The invention also includes diagnosing, identifying or monitoring a glaucoma in a subject in need thereof by characterizing the identity of rRNA or tRNA fragments.

The present invention generally relates to a method of diagnosing, prognosing and treating prostate cancer patients. Particularly, the present invention relates to a method of selecting patients with castration resistant prostate cancer (CrPC) for combination therapy comprising a selective dipeptidyl peptidase inhibitor and a PD-1 axis antagonist. The present invention provides a computational approach to identifying potential patients for CrPC. The present invention also relates to a method of treating castration resistant prostate cancer (CrPC) patients with said combination therapy.

Disclosed herein is a method which includes extracting genomic deoxyribonucleic acid (DNA) at locations at or near cancer hotspots from a subject, modifying Tier-1 5hmC on the DNA to a modified 5hmC, detecting and identifying the presence or absence of the modified 5hmC, quantifying the detected and identified modified 5hmC; and providing a report comprising a score, wherein the score is indicative of the presence of cancer.

The present invention relates to methods for diagnosing, staging and treating cancer, in particular melanoma. In particular, the present invention provides methods for determining the stage/type of a cancerous disease, comprising detecting somatic alterations of the DNA of one or more disseminated cancer cells (DCCs), obtained after homing to a distant organ, such as lymph node; and determining the somatic evolution of the DCC(s) based on the detected somatic alterations, wherein the somatic evolution is indicative of the stage/type of the cancerous disease.

Embodiments of a method and/or system can include generating a set of quality control template (QCT) molecules; determining a set of QCT sequence read clusters based on the set of QCT molecules, such as based on variation regions of the set of QCT molecules; and based on the set of QCT sequence read clusters, determining a sequencing-related parameter, such as a contamination parameter and/or molecule count parameter, associated with the at least one of sequencing library preparation and sequencing.