PT - JOURNAL ARTICLE AU - Wang, Ting AU - Wang, Changxi AU - Wu, Jinghua AU - He, Chenyang AU - Zhang, Wei AU - Liu, Jiayun AU - Zhang, Ruifang AU - Lv, Yonggang AU - Li, Yongping AU - Zeng, Xiaojing AU - Cao, Hongzhi AU - Zhang, Xiuqing AU - Xu, Xun AU - Huang, Chen AU - Wang, Ling AU - Liu, Xiao TI - The Different T-cell Receptor Repertoires in Breast Cancer Tumors, Draining Lymph Nodes, and Adjacent Tissues AID - 10.1158/2326-6066.CIR-16-0107 DP - 2017 Feb 01 TA - Cancer Immunology Research PG - 148--156 VI - 5 IP - 2 4099 - http://cancerimmunolres.aacrjournals.org/content/5/2/148.short 4100 - http://cancerimmunolres.aacrjournals.org/content/5/2/148.full SO - Cancer Immunol Res2017 Feb 01; 5 AB - T lymphocytes infiltrate the microenvironment of breast cancer tumors and play a pivotal role in tumor immune surveillance. Relationships between the T-cell receptors (TCR) borne by T cells within tumors, in the surrounding tissues, and in draining lymph nodes are largely unexplored in human breast cancer. Consequently, information about the relative extent of possible T-cell exchange between these tissues is also lacking. Here, we have analyzed the TCR repertoire of T cells using multiplex PCR and high-throughput sequencing of the TCRβ chain in the tissues of tumor, adjacent nontumor, and axillary lymph nodes of breast cancer patients. T-cell repertoire diversity in tumors was lower than in lymph nodes, but higher than in nontumor tissue, with a preferential use of variable and joining genes. These data are consistent with the hypothesis that most of the T cells in tumors derive from the lymph node, followed by their expansion in tumor tissue. Positive nodes appeared to enhance T-cell infiltration into tumors and T-cell clonal expansion in lymph nodes. Additionally, the similarity in TCR repertoire between tumor and nontumor tissue was significantly higher in luminal-like, rather than basal-like, breast cancer. Our study elucidated the high heterogeneity of the TCR repertoire and provides potential for future improvements in immune-related diagnosis, therapy, and prognosis for breast cancer patients. Cancer Immunol Res; 5(2); 148–56. ©2016 AACR.