High Frequency of CD8 Positive Lymphocyte Infiltration Correlates with Lack of Lymph Node Involvement in Early Rectal Cancer
Author(s) -
Silvio Däster,
Serenella EppenbergerCastori,
Christian Hirt,
Inti Zlobec,
Tarik Delko,
Christian A. Nebiker,
Savas D. Soysal,
Francesca Amicarella,
Giandomenica Iezzi,
Giuseppe Sconocchia,
Michael Heberer,
Alessandro Lugli,
Giulio C. Spagnoli,
Christoph Kettelhack,
Luigi Terracciano,
Daniel Oertli,
Urs von Holzen,
Luigi Tornillo,
Raoul A. Droeser
Publication year - 2014
Publication title -
disease markers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.912
H-Index - 66
eISSN - 1875-8630
pISSN - 0278-0240
DOI - 10.1155/2014/792183
Subject(s) - lymph node , colorectal cancer , medicine , algorithm , pathology , cancer , mathematics
Aims . A trend towards local excision of early rectal cancers has prompted us to investigate if immunoprofiling might help in predicting lymph node involvement in this subgroup. Methods . A tissue microarray of 126 biopsies of early rectal cancer (T1 and T2) was stained for several immunomarkers of the innate and the adaptive immune response. Patients' survival and nodal status were analyzed and correlated with infiltration of the different immune cells. Results . Of all tested markers, only CD8 ( P = 0.005) and TIA-1 ( P = 0.05) were significantly more frequently detectable in early rectal cancer biopsies of node negative as compared to node positive patients. Although these two immunomarkers did not display prognostic effect “per se,” CD8+ and, marginally, TIA-1 T cell infiltration could predict nodal involvement in univariate logistic regression analysis (OR 0.994; 95% CI 0.992–0.996; P = 0.009 and OR 0.988; 95% CI 0.984–0.994; P = 0.05, resp.). An algorithm significantly predicting the nodal status in early rectal cancer based on CD8 together with vascular invasion and tumor border configuration could be calculated ( P < 0.00001). Conclusion . Our data indicate that in early rectal cancers absence of CD8+ T-cell infiltration helps in predicting patients' nodal involvement.
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