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 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 methods for assessing the severity of cancer by measuring the expression level of TIM-3 in a tumour sample. The present inventors have determined that the expression of TIM-3 (T-cell immunoglobulin and mucin-domain containing-3) can be correlated with the prognosis and with the responsiveness to treatment of patients suffering from solid cancer. They have particularly demonstrated that the specific ratio of the expression level of TIM-3 to the expression level of a biomarker of the adaptive immune response within the tumour is extremely predictive of patients' survival. Thus, the present invention relates to methods for determining the prognosis patients suffering from a solid cancer by determining the ratio of the expression level of TIM-3 to the expression level of a biomarker of the adaptive immune response in a tumour tissue sample obtained from said patient. Typically, these expression levels are determined by immunohistochemistry.

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: 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: 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.