A process for analysing chromosome regions and interactions relating to prognosis of prostate cancer or DLBCL.

The current invention pertains to miRNAs that are differentially expressed in samples of an individual having pancreatic cancer, or having a high risk of developing pancreatic cancer, as compared to the corresponding sample of an individual not having pancreatic cancer, or having low risk of developing pancreatic cancer, respectively. In certain embodiments, the miRNAs are differentially expressed in a tissue sample or blood plasma sample of an individual having a pancreatic lesion and having a high risk of developing pancreatic cancer as compared to the corresponding tissue sample or blood sample of an individual having the pancreatic lesion and having no risk or low risk of developing pancreatic cancer. These differentially expressed miRNAs can be used as biomarkers for diagnosis, treatment, and/or prevention of pancreatic cancer, particularly, in a subject having a pancreatic lesion. Microarray containing miRNAs indicative of the presence of pancreatic cancer, or having a high risk of pancreatic cancer development, particularly, in a subject having a pancreatic lesion, and methods of use of the microarrays are also provided.

The invention provides a method of establishing a chicken methylation clock comprising: (a) determining the methylation ratio and the read coverage of the genomic CpG sites of an age-correlated training sample of a specific chicken tissue; (b) defining a set of CpG sites having reliable methylation ratios in all training samples of step (a) using a cutoff value; and (c) performing a penalized regression using the methylation ratios of step (b) as input and the age correlated to the training sample as dependent variable, by applying a penalized regression model; thereby obtaining a set of CpG sites with corresponding weighting factors and intercept of the linear model equation as parameters defining the chicken methylation clock.

Provided are a method and system for screening neoantigen and uses of neoantigens. Specifically, provided are a method and system for screening neoantigens derived from a gene of which expression is essential for survival of a cancer cell and/or a is homogeneously expressed in all cells in cancer tissue as a diagnostic and/or therapeutic target, and uses of neoantigens.

A method for in vitro predicting of the outcome of an individual having a multiple myeloma, including the steps of: a) measuring the expression level of at least 5 genes and/or proteins encoded by the 5 genes, the genes being selected in a group including NRP2, REEP1, SV2B, ARRB1, CACNA1G, FBLIM1, FGFR1, IRF6, ITGA9, NOVA2, PPP2R2C, SLC5A1, SORL1, SYT7 and THY1, in a biological sample obtained from the individual; b) calculating a score value from the expression level obtained at step a); c) classifying the individual as having a good prognosis status or a bad prognosis status, by comparing the score value obtained at step b) with a reference score value.

The present invention provides a method of assessing type 2 diabetes susceptibility and/or predicting treatment responsiveness in a human subject, the method comprising determining the identity of at least one allele at each of three or more positions of single nucleotide polymorphism (SNP) selected from the group consisting of: SLC16A11-rs75493593; HNF1A-rs483353044; TCF7L2-rs7903146; CDKN2A/B-rs10811661; CDKAL1-rs7756992; SLC30A8-rs3802177; IGF2BP2-rs4402960; FTO-rs9936385; PPARG-rs1801282; HHEX/IDE-rs1111875; ADCYS-rs11717195; JAZF1-rs849135; WSF1-rs4458523; INS-IGF2-rs149483638; KCNQ1-rs2237897; and KCNJ11-rs5219, and/or an SNP in linkage disequilibrium with any one of said SNPs at r.sup.2>0.8. Also provided are a genotyping tool and a type 2 diabetes risk assessment system for use in the method of the invention.

Described herein are compositions, methods, and techniques to generate a cancer signature and uses thereof. The cancer signature can be used to determine a cancer progression risk of a subject based upon expression levels of genes of a progression gene signature in a sample. The methods can be used to predict a prognosis, to select an appropriate treatment regimen, to identify or screen for an agent effective against a cancer, or a combination thereof. Computer implemented methods and systems that implement those methods are also provided. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

The present disclosure provides methods of treating subjects having psoriasis, and methods of identifying subjects having an increased risk of developing psoriasis.

The disclosure provides a method for or the early diagnosis, prognosis and differentiation of myocardial infarction (MI). The method comprises performing genetic analysis on gut microbiota. The disclosure also provides a biomarker and kit for the early diagnosis, prognosis, recurrence and differentiation of MI.

This study describes a method to determine the likelihood of the development of metastasis in a subject suffering from cancer, in addition to a method to design a customized therapy in a subject suffering from cancer, in particular breast, colon, lung, kidney and thyroid cancer, based on the determination of the expression level of one or more genes whose expression is modulated by an increase in c-MAF expression. It also describes a method for the identification of marker genes with a propensity for metastatic cancer based on inducing the modulation of the c-MAF expression Finally, the use of PTHLH and PODXL inhibitors and RERG activators in the treatment and/or prevention of the cancer, in particular breast, colon, lung, kidney and thyroid cancer.