Described herein are methods for stratifying and evaluating melanoma treatment response in a subject using single cell RNA sequencing (scRNA-seq) and a two-step deconvolution analysis and optionally administering a treatment depending on the results. Embodiment described herein are methods for stratifying and evaluating melanoma treatment response in a subject based on single cell or bulk RNA sequencing, bulk transcriptome profiling and/or transcript counting and a two-step deconvolution analysis and optionally administering a treatment depending on the results.

The invention provides a method for determining a systemic lupus erythematosus-associated disease state in a subject comprising the steps of (a) providing a sample to be tested; and (b) measuring the presence and/or amount in the test sample of one or more biomarker(s) selected from the group defined in Table A, wherein the presence and/or amount in the test sample of the one or more biomarker(s) selected from the group defined in Table A is indicative of a systemic lupus. The invention also provides an array and a kit suitable for use in the methods of the invention.

A method for assessing the risk of cutaneous adverse drug reactions (CADRs) caused by an epidermal growth factor receptor inhibitor is provided, wherein the CADRs comprises but not limited to: maculopapular eruption (MPE), erythema multiforme (EM), Stevens Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), and drug rash with eosinophilia and systemic symptoms (DRESS). Also provided is a detection kit for assessing the risk of developing CADRs in patients, said kit comprising a reagent for determining specific HLA alleles and a use of the detection kit in assessing the risk of developing CADR in a patient.

A method for predicting patient survival comprises determining a level of STK1 (serum thymidine kinase 1) material in a body sample from a patient diagnosed with prostate cancer using an antibody or a fragment thereof specifically binding to a serum form of human TK1. The method also comprises predicting survival of the patient based on the determined level of STK1 material in the body sample.

The present invention relates to a method for diagnosis, prediction and/or prognosis of an active autoimmune pathology in a subject, comprising detecting the co-expression of PD-1 and CD38 proteins at the surface of T lymphocytes in a biological sample from the subject.

The present invention also relates to a use of the pool of PD-1 (Programmed cell death 1) and CD38 protein as biomarkers for diagnosis, prediction and/or prognosis of an active autoimmune pathology in a subject.

The present invention further relates to a test device for detecting the co-expression of PD-1 and CD38 in a sample from a subject, comprising: (i) optionally means for obtaining a sample from the subject, and (ii) means for detecting the co-expression of PD-1 and CD38 at the surface of the T lymphocytes in said sample, and (iii) means for determining the frequency of co-expression of PD-1 and CD38 in the sample

The present disclosure relates to methods of monitoring bladder cancer patients and analyzing patient samples for presence of methylated DNA and optionally particular gene mutations. In some embodiments, analysis results are correlated with clinical outcome measures such as risk of bladder cancer recurrence.

Disclosed herein are methods for evaluating a disease or a condition in a subject. More particularly, disclosed herein are methods for determining or diagnosing a disease, methods for classifying a stage of a disease, methods for treating a disease or methods for assessing the efficacy of a therapy for treating a disease based on the measurement and the computational analysis of various disease-specific biomarkers.

Biomarkers for diagnosing the disease activity, disease severity or disease type of severe cutaneous adverse drug reactions (SCARs) such as drug-induced hypersensitivity syndrome and Stevens-Johnson syndrome/toxic epidermal necrolysis are provided. Also provided is a method of testing SCARs, comprising measuring the expression of at least one protein selected from the group consisting of stratifin, TNF receptor superfamily member 8 (CD30/TNFRSF8), interleukin-1 receptor antagonist (IL-1Ra), and TNF receptor superfamily member 6B (DcR3/TNFRSF6B) in a sample derived from a subject.

Provided is a technique of predicting prognosis of skin cancer. A method for prognosis prediction of skin cancer includes: a step of obtaining a correlation amount correlated with an expression level of a glucose-6-phosphate dehydrogenase in a sample collected from a patient with the skin cancer; and a step of determining that the prognosis of the skin cancer is poorer when the correlation amount is large than that when the correlation amount is small.

The invention relates to sets of biomarkers and methods of use thereof for diagnosing, staging, treating, and assessing the response of a treatment for neurocognitive disorders characterised by tau toxicity, such as Alzheimer’s disease.