• Media type: E-Article
  • Title: Detailed resolution analysis reveals spatial T cell heterogeneity in the invasive margin of colorectal cancer liver metastases associated with improved survival
  • Contributor: Berthel, Anna [VerfasserIn]; Zörnig, Inka [VerfasserIn]; Valous, Nektarios A. [VerfasserIn]; Klupp, Fee [VerfasserIn]; Ulrich, Alexis [VerfasserIn]; Jäger, Dirk [VerfasserIn]; Halama, Niels [VerfasserIn]
  • imprint: 23 Feb 2017
  • Published in: OncoImmunology ; 6(2017,3) Artikel-Nummer e1286436, 11 Seiten
  • Language: English
  • DOI: 10.1080/2162402X.2017.1286436
  • ISSN: 2162-402X
  • Identifier:
  • Keywords: Colorectal cancer liver metastases ; immunosuppression ; prognosis ; T cell distribution ; tumor immunology ; tumor microenvironment
  • Origination:
  • Footnote:
  • Description: On a broader scale, T cell density and localization in colorectal cancer liver metastases have prognostic and predictive implications. As T cell distribution at higher resolutions has not been fully investigated, a detailed resolution analysis of T cell distribution was performed. Patient tissues were divided into 10 µm distance classes between the tumor border and adjacent normal liver. Thereby, distinct density patterns of T cell localization in relation to the malignant tissue could be detected. At a distance of 20 to 30 µm to the tumor, a decrease of CD3 T cells is common. Within this area, cytotoxic Granzyme B and CD8+ T cells were found to be significantly reduced as well as CD163 macrophages were increased and identified to be in close contact with T cells. Our data suggests a physical or functional border within this region. Survival analysis revealed improved overall survival in patients with high T cells numbers at the direct tumor border. Interestingly, the decreased T cells in the 20 to 30 µm region were also found to be significantly associated with improved survival. Consequently, the detailed localization of T cells, despite blockade, could be associated with improved clinical outcome. The high-resolution analysis represents new insights into relevant heterogenous T cell distributions especially related to clinical responses. As the paradoxical observation of localization-dependent prognostic relevance of T cell densities is only detectable by detailed spatial analyses, this investigation of spatial profiles at higher resolutions is suggested as a new biomarker for survival and response to therapies.
  • Access State: Open Access