Blog
About

355
views
0
recommends
+1 Recommend
0 collections
    12
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Type, density, and location of immune cells within human colorectal tumors predict clinical outcome.

      Science (New York, N.Y.)

      Th1 Cells, Antigens, CD3, immunology, T-Lymphocyte Subsets, Survival Analysis, Prognosis, Polymerase Chain Reaction, Oligonucleotide Array Sequence Analysis, Neoplasm Staging, prevention & control, Neoplasm Recurrence, Local, Neoplasm Invasiveness, Male, Lymphocytes, Tumor-Infiltrating, Lymphocyte Count, Lymphatic Metastasis, Immunologic Memory, Immunohistochemistry, Humans, Gene Expression Profiling, Female, Disease-Free Survival, Disease Progression, pathology, genetics, Colorectal Neoplasms, Cohort Studies, CD8-Positive T-Lymphocytes, analysis, Antigens, CD45

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The role of the adaptive immune response in controlling the growth and recurrence of human tumors has been controversial. We characterized the tumor-infiltrating immune cells in large cohorts of human colorectal cancers by gene expression profiling and in situ immunohistochemical staining. Collectively, the immunological data (the type, density, and location of immune cells within the tumor samples) were found to be a better predictor of patient survival than the histopathological methods currently used to stage colorectal cancer. The results were validated in two additional patient populations. These data support the hypothesis that the adaptive immune response influences the behavior of human tumors. In situ analysis of tumor-infiltrating immune cells may therefore be a valuable prognostic tool in the treatment of colorectal cancer and possibly other malignancies.

          Related collections

          Author and article information

          Journal
          17008531
          10.1126/science.1129139

          Comments

          Comment on this article