Abstract: The invention relates to the use of biomarkers for predicting the response to cancer (e.g. melanoma) treatments, for selecting a treatment for a cancer patient (e.g. using targeted therapy, e.g. using a BRAF and/or MEK inhibitor), for stratifying cancer patients into different treatment groups, for treating cancer patients, and for predicting clinical outcome in cancer.

Abstract: A method for predicting a response to and/or benefit of chemotherapy, including neoadjuvant chemotherapy, in a patient suffering from or at risk of developing recurrent neoplastic disease, in particular breast cancer, said method comprising the steps of: (a) determining in a tumor sample from said patient the RNA expression levels of the following 8 genes: UBE2C, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP, indicative of a response to chemotherapy for a tumor, or (b) determining in a tumor sample from said patient the RNA expression levels of the following 8 genes: UBE2C, BIRC5, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP; indicative of a response to chemotherapy for a tumor (c) mathematically combining expression level values for the genes of the said set which values were determined in the tumor sample to yield a combined score, wherein said combined score is predicting said response and/or benefit of chemotherapy.

Abstract: A method predicts the residual risk of recurrence after a taxane-free chemotherapy, and the benefit from inclusion of taxane in a chemotherapy regimen in a patient suffering from or at risk of developing recurrent breast cancer. From determination of expression levels of the genes UBE2C, KIF20A, PTGER3, OSBPL1A, CYP27A1, IGKC, in a tumor sample a prognostic score is determined by mathematically combining the expression level values. The prognostic score is compared to thresholds, classifying the patient in three outcome groups. The expression levels of three genes STC1, PCSK6, S100P in the tumor sample are determined, and the expression level values for STC1, PCSK6 and S100P are mathematically combined to yield a predictive combined score, whereas a high predictive combined score generally indicates an increased likelihood of benefit from inclusion of taxane in a chemotherapy regimen in a patient classified to poor and/or intermediate outcome group.

Abstract: A method for predicting a benefit from inclusion of taxane in a chemotherapy regimen in a patient suffering from or at risk of developing recurrent neoplastic disease, in particular breast cancer.

Abstract: A method for predicting a response to and/or benefit of chemotherapy, including neoadjuvant chemotherapy, in a patient suffering from or at risk of developing recurrent neoplastic disease, in particular breast cancer, said method comprising the steps of: (a) determining in a tumor sample from said patient the RNA expression levels of the following 8 genes: UBE2C, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP, indicative of a response to chemotherapy for a tumor, or (b) determining in a tumor sample from said patient the RNA expression levels of the following 8 genes: UBE2C, BIRC5, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP; indicative of a response to chemotherapy for a tumor (c) mathematically combining expression level values for the genes of the said set which values were determined in the tumor sample to yield a combined score, wherein said combined score is predicting said response and/or benefit of chemotherapy.

Abstract: The present invention relates to a method for staging prostate cancer in a subject suffering from prostate cancer, said method comprises (a) determining the amount of at least one miRNA selected from the group consisting of miRNA-375, miRNA-141, miRNA-200b, miRNA-516a-3p and miRNA9*, or the amount of a precursor molecule in a sample from said patient and (b) comparing the, thus, determined amount with a reference amount. Moreover, the present invention is concerned with a method for identifying a subject susceptible to prostate cancer therapy and to a method for diagnosing prostate cancer. Further envisaged by the present invention are a kit and a device adapted to carry out the method of the present invention.

Abstract: The present invention relates to a method for predicting a response of a tumor in a patient suffering from or at risk of developing recurrent gynecologic cancer towards a chemotherapeutic agent, said method comprising the steps of: a) obtaining a biological sample from said patient; b) determining the pattern of expression level of at least one gene of the group comprising AKR1C1, MLPH, ESR1, PGR, COMP, DCN, IGKC, CCL5, FBN1 and/or UBE2C, or of genes coregulated therewith, in said sample; c) comparing the pattern of expression levels determined in (b) with one or several reference pattern (s) of expression levels; d) identifying at least one marker gene; e) determining a molecular subtype for said sample on the basis of (d); and f) predicting from said molecular subtype response of a tumor for a chemotherapeutic agent, wherein the molecular subtype is selected from the group comprising the subtypes basal, stromal-high, stromal-low, luminal A, immune system-high, immune system-low, proliferation-high and/or pr