Abstract: The present invention provides a method for predicting the treatment response of a human gastroesophageal cancer patient, the method comprising: a) measuring the gene expression of at least 3 of the following genes: CDH1, CDK6, COX2, ELOVL5, GATA4, EGFR, TBCEL, FGF7, CDH17, FNBP1, PIP5K1B, TWIST, CD44, MET, CEACAM1, TOX3, GLIPR2, GSTP1, RON, TMEM136, MYB, BRCA2, FGF1, POU5F1, EPR, DPYD, ABL2 and SH3RF1 in a sample obtained from the gastroesophageal tumour of the patient to obtain a sample gene expression profile of at least said genes; and b) making a prediction of the treatment response and/or prognosis of the patient based on the sample gene expression profile. Also provided are related computer-implemented methods and methods of treatment of gastroesophageal cancer.

Abstract: The invention relates to antigen-binding molecules that specifically binds ALPPL2 and/or ALPP but not ALPL or ALPI. It also relates to a pharmaceutical composition, an immunoconjugate and a chimeric antigen receptor comprising said antigen-binding molecules. The invention also relates to methods for reducing the expression or activity of ALPPL2 in a cancer cell and methods of treating a cancer in a subject.

Abstract: The present invention provides a method for predicting the treatment response of a human gastroesophageal cancer patient, the method comprising: a) measuring the gene expression of at least 3 of the following genes: CDH1, CDK6, COX2, ELOVL5, GATA4, EGFR, TBCEL, FGF7, CDH17, FNBP1, PIP5K1B, TWIST, CD44, MET, CEACAM1, TOX3, GLIPR2, GSTP1, RON, TMEM136, MYB, BRCA2, FGF1, POU5F1, EPR, DPYD, ABL2 and SH3RF1 in a sample obtained from the gastroesophageal tumour of the patient to obtain a sample gene expression profile of at least said genes; and b) making a prediction of the treatment response and/or prognosis of the patient based on the sample gene expression profile. Also provided are related computer-implemented methods and methods of treatment of gastroesophageal cancer.

Abstract: The present disclosure is a method comprising the steps of performing one or more nucleic-acid based assays to identify mutations present in the breast tissue acquired from the subject corresponding to a first test module and a second test module associated with detection of at least one predetermined mutation of one or more genes, wherein each test module is configured to provide a positive outcome corresponding to at least one predetermined mutation detected in the tissue or a negative outcome corresponding to absence of detectable predetermined mutation in the sample; and identifying the type of neoplasm of the breast tissue based upon the provided outcome of the both test modules. Preferably, the first test module is associated with detection of mutation in MED12 gene and/or RARA gene, while the second test module is associated with detection of mutation in FLNA gene, SETD2 gene and/or MLL2 gene.

Abstract: The present invention is directed to methods for determining the activity of a promoter. The present invention further describes a method for determining the susceptibility of a subject to cancer and biomarkers for detecting cancer in a subject.