Abstract: The present invention relates to a method for predicting the survival time of a patient suffering from a solid cancer comprising i) determining in a tumor sample obtained from the patient the gene expression level of at least 7 genes selected from the group consisting of CCR2, CD3D, CD3E, CD3G, CD8A, CXCL10, CXCL11, GZMA, GZMB, GZMK, GZMM, IL15, IRF1, PRF1, STAT1, CD69, ICOS, CXCR3, STAT4, CCL2, and TBX21, ii) comparing every expression level determined at step i) with their predetermined reference value and iii) providing a good prognosis when all expression levels determined at step i) are higher than their predetermined reference values, or providing a bad prognosis when all expression levels determined at step i) are lower than their predetermined reference values or providing an intermediate prognosis when at least one expression level determined value is higher than its predetermined value. The method is also particularly suitable for predicting the responsiveness of the patient to a treatment.

Abstract: The present invention relates to the prognosis of the outcome of a cancer in a patient, which prognosis is based on the quantification of one or several biological markers that are indicative of the presence of, or alternatively the level of, the adaptive immune response of said patient against said cancer.

Abstract: The present invention relates to the prognosis of the outcome of a cancer in a patient, which prognosis is based on the quantification of one or several biological markers that are indicative of the presence of, or alternatively the level of, the adaptive immune response of said patient against said cancer.

Abstract: The present invention relates to a method for predicting the survival time of a patient suffering from a solid cancer comprising i) determining in a tumor sample obtained from the patient the gene expression level of at least 7 genes selected from the group consisting of CCR2, CD3D, CD3E, CD3G, CD8A, CXCL10, CXCL11, GZMA, GZMB, GZMK, GZMM, IL15, IRF1, PRF1, STAT1, CD69, ICOS, CXCR3, STAT4, CCL2, and TBX21, ii) comparing every expression level determined at step i) with their predetermined reference value and iii) providing a good prognosis when all expression levels determined at step i) are higher than their predetermined reference values, or providing a bad prognosis when all expression levels determined at step i) are lower than their predetermined reference values or providing an intermediate prognosis when at least one expression level determined value is higher than its predetermined value. The method is also particularly suitable for predicting the responsiveness of the patient to a treatment.

Abstract: A method for screening patients with a cancer comprising i) determining in a tumor sample obtained from a patient an expression level ELA1-ELAn of one or several genes GA1-GAn representative of human adaptive immune response and an expression level ELI1-ELIn of one or several genes GI1-GIn representative of human immunosuppressive response, ii) comparing the expression levels ELA1-ELAn and ELI1-ELIn determined at step i) with predetermined reference values ELRA1-ELRAn and ELRI1-ELRIn selected such as said predetermined reference values separate a panel of patients with a cancer into two groupings according to the expression level of said genes and to survival of patients according to Kaplan Meier curves analyses and associated logrank p values iii) concluding whether the patient has a good (level higher than the predetermined reference value) or a bad (level lower than the predetermined reference value) adaptive immune response and a good or a bad immunosuppressive response, optionally further comprising a st

Abstract: The present invention relates to a method for predicting the outcome of a cancer in a patient by analysing gene expression in a sample obtained from said patient. More particularly the present invention relates to a method for predicting the outcome of a cancer comprising a step consisting of determining the expression level of a gene cluster consisting of at least 3 genes in a sample obtained from said patient.

Abstract: The present invention relates to the prognosis of the outcome of a cancer in a patient, which prognosis is based on the quantification of one or several biological markers that are indicative of the presence of, or alternatively the level of, the adaptive immune response of said patient against said cancer.

Abstract: A method for assessment of a number or density of immune cells in tumoral tissues comprising the steps consisting in: a. providing one or more immunostained slices of tissue section obtained by an automated slide-staining system by using antibodies binding specifically to antigens (markers) expressed by immune cells. b. proceeding to digitalization of the slides of step a. by high resolution scan capture, whereby a high definition (4.6 ?m/pixel or better) digital picture of the slide to be analyzed is obtained, c. detecting the slice of tissue section on the digital picture d. analyzing the slice of tissue section for defining (i) the tumor (CT) and (ii) the invasive margin of the tumor (IM), e. providing a size reference grid with uniformly distributed units having a same surface, said grid being adapted to the size of the tumor to be analyzed, e1. checking the quality of immunostaining, f.

Abstract: The present invention relates to the prognosis of the outcome of a cancer in a patient, which prognosis is based on the quantification of one or several biological markers that are indicative of the presence of, or alternatively the level of, the adaptive immune response of said patient against said cancer.

Abstract: The present invention relates to a method for predicting the survival time of a patient suffering from a solid cancer comprising the steps consisting of i) determining the density of B cells at the invasive margin of the tumor (im) in a tumor tissue sample obtained from said patient, ii) comparing said density with a predetermined reference value and iii) providing a good prognosis when the density of B cells at the invasive margin of the tumor is higher than the predetermined reference value and a poor prognosis when the density of B cells at the invasive margin of the tumor is lower than the predetermined reference value.

Abstract: The present invention relates to a method for predicting the outcome of a cancer in a patient by analysing gene expression in a sample obtained from said patient. More particularly the present invention relates to a method for predicting the outcome of a cancer comprising a step consisting of determining the expression level of a gene cluster consisting of at least 3 genes in a sample obtained from said patient.

Abstract: The present invention provides methods and kits for the prognosis of survival time of a patient suffering from a cancerous tumor. The method involves quantitating the density of Th17 cells at the center of the tumor and at the invasive margin of the tumor, where low density values at each location indicate a favourable prognosis, high values at each location indicate an unfavourable prognosis, and heterogeneous values at the two locations (one high, one low) indicate an intermediate prognosis.

Abstract: The present invention relates to the prognosis of the outcome of a cancer in a patient, which prognosis is based on the quantification of one or several biological markers that are indicative of the presence of, or alternatively the level of, the adaptive immune response of said patient against said cancer.

Abstract: The present invention relates to a method for predicting the outcome of a cancer in a patient by analysing gene expression in a sample obtained from said patient. More particularly the present invention relates to a method for predicting the outcome of a cancer comprising a step consisting of determining the expression level of a gene cluster consisting of at least 3 genes in a sample obtained from said patient.

Abstract: A method for screening patients with a cancer comprising i) determining in a tumor sample obtained from a patient an expression level ELA1-ELAn of one or several genes GA1-GAn representative of human adaptive immune response and an expression level ELI1-ELIn of one or several genes Gl1-GIn representative of human immunosuppressive response, ii) comparing the expression levels ELA1-ELAn and ELI1-ELIn determined at step i) with predetermined reference values ELRA1-ELRAn and ELRI1-ELRIn selected such as said predetermined reference values separate a panel of patients with a cancer into two groupings according to the expression level of said genes and to survival of patients according to Kaplan Meier curves analyses and associated logrank p values iii) concluding whether the patient has a good (level higher than the predetermined reference value) or a bad (level lower than the predetermined reference value) adaptive immune response and a good or a bad immunosuppressive response, optionally further comprising a st

Abstract: The present invention relates to a method for predicting the survival time of a patient suffering from a solid cancer comprising i) determining in a tumor sample obtained from the patient the gene expression level of at least 7 genes selected from the group consisting of CCR2, CD3D, CD3E, CD3G, CD8A, CXCL10, CXCL11, GZMA, GZMB, GZMK, GZMM, IL15, IRF1, PRF1, STAT1, CD69, ICOS, CXCR3, STAT4, CCL2, and TBX21, ii) comparing every expression level determined at step i) with their predetermined reference value and iii) providing a good prognosis when all expression levels determined at step i) are higher than their predetermined reference values, or providing a bad prognosis when all expression levels determined at step i) are lower than their predetermined reference values or providing an intermediate prognosis when at least one expression level determined value is higher than its predetermined value. The method is also particularly suitable for predicting the responsiveness of the patient to a treatment.

Abstract: A method for assessment of a number or density of immune cells in tumoral tissues comprising the steps consisting in: a. providing one or more immunostained slices of tissue section obtained by an automated slide-staining system by using antibodies binding specifically to antigens (markers) expressed by immune cells. b. proceeding to digitalisation of the slides of step a. by high resolution scan capture, whereby a high definition (4.6 ?m/pixel or better) digital picture of the slide to be analysed is obtained, c. detecting the slice of tissue section on the digital picture d. analyzing the slice of tissue section for defining (i) the tumour (CT) and (ii) the invasive margin of the tumour (IM), e. providing a size reference grid with uniformly distributed units having a same surface, said grid being adapted to the size of the tumour to be analyzed, e1. checking the quality of immunostaining, f.

Abstract: The present invention relates to a method for predicting the survival time of a patient suffering from a solid cancer comprising the steps consisting of i) determining the density of B cells at the invasive margin of the tumor (im) in a tumor tissue sample obtained from said patient, ii) comparing said density with a predetermined reference value and iii) providing a good prognosis when the density of B cells at the invasive margin of the tumor is higher than the predetermined reference value and a poor prognosis when the density of B cells at the invasive margin of the tumor is lower than the predetermined reference value.

Abstract: The present invention relates to the prognosis of the outcome of a cancer in a patient, which prognosis is based on the quantification of one or several biological markers that are indicative of the presence of, or alternatively the level of, the adaptive immune response of said patient against said cancer.

Abstract: The present invention relates to a method for predicting the outcome of a cancer in a patient by analysing gene expression in a sample obtained from said patient. More particularly the present invention relates to a method for predicting the outcome of a cancer comprising a step consisting of determining the expression level of a gene cluster consisting of at least 3 genes in a sample obtained from said patient.