4.4 Article

GITR-EXPRESSING REGULATORY T-CELL SUBSETS ARE INCREASED IN TUMOR-POSITIVE LYMPH NODES FROM ADVANCED BREAST CANCER PATIENTS AS COMPARED TO TUMOR-NEGATIVE LYMPH NODES

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BIOLIFE SAS
DOI: 10.1177/039463201202500108

关键词

lymph node; Treg; GITR; CD25; CD127; GITRL

资金

  1. National Grant Program Idei [2628]

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Lymph node (LN) infiltration by neoplastic process involves important changes in lymph node immune microenvironment. In particular, regulatory T cells (Treg) seem to have a key role in altering the immunoediting function of the immune system which leads to the elusion of the tumor from immune surveillance. In this study, we evaluate the expression of T-cell markers in CD4(+) and CD8(+) subsets from tumor-positive and tumor-negative lymph nodes from the same, advanced stage breast cancer patient. The study was carried out on 3 patients and similar results were obtained. Flow cytometric analysis of CD8(+) cells demonstrated a significant difference in the expression of CD25, CD45RA, CD45RO, and GITRL (Glucocorticoid-Induced TNF receptor-Related ligand). Flowcytometric analysis of CD4(+) cells demonstrated a significant difference in the expression of GITR (Glucocorticoid-Induced TNF receptor-Related), CD25, FoxP3 (Forkhead box P3), CD28, and CD45RA. Multiple staining allowed the identification of two Treg subpopulations, CD4(+)CD25(high)GITR(+)CD127(-/low) and CD4(+)CD25(low)GITR(+)CD127(+) cells, proving that both are increased in the positive nodes in comparison with the negative nodes from the same patient. We identified for the first time the CD4(+)CD25(low)GITR(+)CD127(+) Treg subpopulation in cancer, and the 2.6 fold increase in positive LN suggests that this Treg subpopulation could be a key player in metastasis. We also found GITRL expression in the CD8 lymphocytes, which may also contribute to the changes of metastatic lymph node microenvironment. These findings make both GITR and GITRL good possible co-candidates for future therapeutical intervention against metastasis and perhaps also as disease evolution biomarkers.

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