| 摘要 |
Disclosed is a method for predicting a beneficial effect of an immunotherapy in a cancer patient, comprising determining the level of at least one marker selected from the group consisting of Apolipoprotein A1 (ApoA1) in a sample previously obtained from said cancer patient, - wherein a level of said marker at least 10 % higher as compared to a median level of said marker in a given cancer patient population is indicative of a beneficial effect of an immunotherapy for said cancer patient, - wherein said cancer patient is experiencing a cancer selected from the group consisting of renal cell carcinoma (RCC), colourectal cancer (CRC), gastric cancer (GC), melanoma, nonsmall- cell lung cancer (NSCLC), glioblastoma, and adenocarcinomas of any type; - wherein said sample is selected from the group consisting of whole blood, peripheral blood, or fractions thereof, serum, buffy coat, tumour tissue, lymphatic fluid, urine, bone marrow, EDTA plasma, heparinised plasma, citrate plasma, heparinised whole blood, and frozen samples thereof, including frozen heparinised whole blood; - wherein said determining comprises at least one method selected from the group consisting of immunoassays, bead-based immunoassays, multiplex immunoassays, ELISA, microarray based assays, epigenetic assays, expression analysis, FACS analysis, established methods of hematology, proteomics, and mass spectrometry; - wherein said immunotherapy comprises vaccination with an anti-cancer vaccine, wherein said vaccination is at least one vaccine comprising at least one immunogenic peptide selected from the group consisting the peptides disclosed in the specification; and - wherein said beneficial effect is selected from the group consisting of longer overall survival, occurrence of single and/or multiple T-cell responses induced by the immunotherapy, retardation of tumour growth, tumour shrinkage, and longer progression free survival. |
