The intratumoural subsite and relation of CD8(+) and FOXP3(+) T lymphocytes in colorectal cancer provide important prognostic clues
- PMID: 24675384
- PMCID: PMC4021513
- DOI: 10.1038/bjc.2014.161
The intratumoural subsite and relation of CD8(+) and FOXP3(+) T lymphocytes in colorectal cancer provide important prognostic clues
Abstract
Background: To find improved tools for prognostic evaluation in patients with colorectal cancer (CRC), we have analysed how infiltration of cytotoxic T lymphocytes (CD8(+)) and regulatory T lymphocytes (FoxP3(+)) correlates to prognosis, not only according to quantity and relation, but also to subsite within tumours of different molecular characteristics (microsatellite instability and CpG island methylator phenotype status).
Methods: CD8 and FOXP3 expression was evaluated by immunohistochemistry in 426 archival tumour tissue samples from patients surgically resected for CRC. The average infiltration of CD8(+) and FOXP3(+) cells was assessed along the tumour invasive front, in the tumour centre and within the tumour epithelium (intraepithelial).
Results: We found that infiltration of CD8(+) T lymphocytes within the tumour epithelium provided the strongest prognostic information (P<0.001). At the tumour invasive front and tumour centre, FOXP3 expression withheld the strongest association to prognosis (P<0.001), suggesting FOXP3(+) T-lymphocyte infiltration to be a better prognostic tool than CD8(+) T lymphocytes at these intratumoural subsites. We further analysed the possible prognostic impact of the relation between these T-cell subsets, finding that a high intraepithelial CD8 expression was associated with a better patient outcome, independent of FOXP3 infiltration. In groups of low intraepithelial CD8 expression, however, a high infiltration rate of FOXP3(+) cells at the tumour invasive front, significantly improved prognosis.
Conclusions: Analyses of intraepithelial infiltration of CD8(+) T lymphocytes, infiltration of FOXP3(+) T lymphocytes at the tumour front or centre, and the relation between these subsets, may be a valuable tool for predicting prognosis in colon cancer.
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