Abstract: The disclosure 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 an agent targeting BRAF and/or an agent targeting MEK in combination with an immuno-oncology therapy (e.g., an anti-PD-1 therapy)), 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: Described herein are methods 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. Said method includes the steps of determining the expression levels of the marker genes S100P and PCSK6 and mathematically combining the expression level values to yield a combined score and comparing said combined score to a reference-value, wherein a high combined score is indicative of a benefit from including a taxane in a chemotherapy regimen of said patient and a low combined score is indicative of not having a benefit from including a taxane in a chemotherapy regimen.

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: Described herein are methods 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. Said method includes the steps of determining the expression levels of the marker genes S1OOP and PCSK6 and mathematically combining the expression level values to yield a combined score and comparing said combined score to a reference-value, wherein a high combined score is indicative of a benefit from including a taxane in a chemotherapy regimen of said patient and a low combined score is indicative of not having a benefit from including a taxane in a chemotherapy regimen.