Predicting recurrence of hepatocellular carcinoma (HCC) after liver transplantation. The disclosure indeed discloses a set of biomarkers present in a serum sample taken from a HCC patient before liver transplantation, which can be used to assess recurrence of HCC after liver transplantation. More specifically, the disclosure discloses a process to predict the recurrence of HCC after liver transplantation via determining the amount of at least four specific N-glycans in a serum sample.

The present invention is directed to a method for identifying an individual who is at risk for developing metastatic liver disease that involves measuring, in a sample isolated from the individual, exosomal levels of one or more markers of metastatic liver disease. Kits for carrying out this method are also disclosed. The present invention also relates to a method of preventing metastatic liver disease in an individual who are at risk for developing the disease that involves administering one or more inhibitors of liver premetastatic niche formation.

The present invention relates to a substance interacting with C terminal fragment of the STIM1 fraction localized to the plasma membrane of the cells, for its use in the treatment of cancers. The present invention further relates to a pharmaceutical composition comprising at least one substance interacting with C terminal fragment of the STIM1 fraction localized to the plasma membrane of cells, and at least one pharmaceutically acceptable excipient. The invention also refers to the use of isolated C terminal fragment of the STIM1 fraction localized to the plasma membrane of cells in a method for screening candidate molecules for treating cancers, especially pancreatic, colon, breast, Burkitt lymphoma or chronic Lymphocytic Leukaemia. The present invention also relates to a process for predicting the progression and/or monitoring the progression of a cancer, comprising the in vitro detection of the expression of STIM1 in a sample of the tumour of the subject.

The present disclosure relates to a composition capable of diagnosing cancer, specifically pancreatic cancer or the like, a diagnostic kit comprising the same, and a method of providing information for diagnosis using the composition. Also, the present disclosure relates to a pharmaceutical composition capable of preventing or treating pancreatic cancer.

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 invention uses intestinal microbial flora and combinations thereof as a liver cancer biomarker and provide a method for detection, in short, the intestinal microbial flora of the invention can be used as a liver cancer biomarker and can be used as a non-invasive method for detecting or predicting liver cancer, combined with conventional blood tests, not only capable of improving the accuracy rate of detection, but also capable of increasing the willingness of patients to participate in detection to achieve the efficacies of early prevention and early treatment.

The present invention describes methods of determining the glycosylation signature and determining the level of a protein in a sample obtained from a patient. The present invention also describes use of a patient protein glycosylation profile to identify the presence or absence of a disease in subjects.

Set forth herein are methods useful for identifying disease biomarkers, particularly for diseases such as clear cell renal cell carcinoma (ccRCC). In some examples, the methods set forth herein are useful for monitoring the prognosis of patients having a disease such as ccRCC.

The present invention relates to a method for detecting fucosylated alpha1-acid glycoprotein (AGP) in a sample, comprising the steps providing a monovalent fucose-binding peptide having at least 80% identity, such as 85, 90, 95, 99 or 100% identity, to a peptide having an amino acid according to SEQ ID NO: 1, immobilised on a solid phase; bringing the sample into contact with the immobilised fucose-binding peptide; and detecting any fucosylated AGP bound to said fucose-binding peptide. The invention further relates to a method for assessing a risk that a human individual suffers from hepatocellular carcinoma, and to a kit of parts and antibodies useful in the methods according to the invention, and to a peptide useful as an immunizing antigen in production of such antibodies.

The present disclosure relates to specific binding agents binding to different PIVKA-II forms as compared to antibodies known so far in the art. The present disclosure also relates to methods of using the specific binding agents to detect the presence of PIVKA-II.