Abstract: The present invention relates to methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising: (a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP (b) 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 indicative of a prognosis of said patient; and kits and systems for performing said method.

Abstract: Provided herein are methods for predicting chemotherapy benefit. The invention predicts chemotherapy benefit based on the expression analysis of biomarkers, e.g., RNA biomarker transcription analysis, taken from a tumor sample. The biomarker expression data can be combined with clinical variables, e.g., tumor size and nodal status, to generate a profile that predicts the benefit of including chemotherapy as a treatment decision.

Abstract: Provided herein are methods for predicting chemotherapy benefit. The invention predicts chemotherapy benefit based on the expression analysis of biomarkers, e.g., RNA biomarker transcription analysis, taken from a tumor sample. The biomarker expression data can be combined with clinical variables, e.g., tumor size and nodal status, to generate a profile that predicts the benefit of including chemotherapy as a treatment decision.

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 methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising: (a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP (b) 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 indicative of a prognosis of said patient; and kits and systems for performing said method.

Abstract: The present invention relates to methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising: (a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP (b) 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 indicative of a prognosis of said patient; and kits and systems for performing said method.

Abstract: Provided herein are methods for predicting chemotherapy benefit. The invention predicts chemotherapy benefit based on the expression analysis of biomarkers, e.g., RNA biomarker transcription analysis, taken from a tumor sample. The biomarker expression data can be combined with clinical variables, e.g., tumor size and nodal status, to generate a profile that predicts the benefit of including chemotherapy as a treatment decision.

Abstract: The present invention relates to methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising: (a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP (b) 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 indicative of a prognosis of said patient; and kits and systems for performing said method.

Abstract: The present invention relates to methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising: (a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP (b) 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 indicative of a prognosis of said patient; and kits and systems for performing said method.

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: The present invention is related to a method for predicting a clinical response of a patient suffering from or at risk of developing a neoplastic disease towards at least one given mode of treatment, said method comprising the steps of: a) obtaining a biological sample from said patient; b) determining, on a non protein basis, the expression level of at least one gene of interest, said gene being correlated with the Estrogen receptor (ESR) status in the said sample, c) comparing the pattern of expression levels determined in (b) with one or several reference pattern(s) of expression levels; and d) predicting therapeutic success for said given mode of treatment in said patient from the outcome of the comparison in step (c).

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.

Abstract: The present invention is related to a method for analyzing a clinical response of a patient suffering from or at risk of developing a neoplastic disease towards at least one given mode of treatment, said method comprising the steps of: a) obtaining a biological sample from said patient; b) determining, on a non protein basis, the expression level of three genes of interest, said genes being correlated with the Estrogen receptor (ESR) status in the sample, c) comparing the pattern of expression levels determined in (b) with one or several reference pattern(s) of expression levels; and d) predicting therapeutic success for said given mode of treatment in said patient from the outcome of the comparison in step (c); and treating based on said outcome.

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 methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising: (a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP (b) 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 indicative of a prognosis of said patient; and kits and systems for performing said method.

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 methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising: (a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP (b) 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 indicative of a prognosis of said patient; and kits and systems for performing said method.