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The Different T-cell Receptor Repertoires in Breast Cancer Tumors, Draining Lymph Nodes, and Adjacent Tissues

Ting Wang, Changxi Wang, Jinghua Wu, Chenyang He, Wei Zhang, Jiayun Liu, Ruifang Zhang, Yonggang Lv, Yongping Li, Xiaojing Zeng, Hongzhi Cao, Xiuqing Zhang, Xun Xu, Chen Huang, Ling Wang and Xiao Liu
Ting Wang
1Department of Vascular and Endocrine Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
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Changxi Wang
2BGI-Shenzhen, Shenzhen, China.
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Jinghua Wu
2BGI-Shenzhen, Shenzhen, China.
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Chenyang He
1Department of Vascular and Endocrine Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
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Wei Zhang
2BGI-Shenzhen, Shenzhen, China.
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Jiayun Liu
3Institute of Clinical Laboratory Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
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Ruifang Zhang
2BGI-Shenzhen, Shenzhen, China.
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Yonggang Lv
1Department of Vascular and Endocrine Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
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Yongping Li
1Department of Vascular and Endocrine Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
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Xiaojing Zeng
2BGI-Shenzhen, Shenzhen, China.
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Hongzhi Cao
2BGI-Shenzhen, Shenzhen, China.
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Xiuqing Zhang
2BGI-Shenzhen, Shenzhen, China.
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Xun Xu
2BGI-Shenzhen, Shenzhen, China.
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Chen Huang
4Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
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Ling Wang
1Department of Vascular and Endocrine Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
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  • For correspondence: liuxiao@genomics.cn vascular@fmmu.edu.cn
Xiao Liu
2BGI-Shenzhen, Shenzhen, China.
5Department of Biology, University of Copenhagen, Copenhagen, Denmark.
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  • For correspondence: liuxiao@genomics.cn vascular@fmmu.edu.cn
DOI: 10.1158/2326-6066.CIR-16-0107 Published February 2017
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  • Figure 1.
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    Figure 1.

    Proportion and diversity of infiltrated T lymphocytes in breast tumor and other tissues. A, Comparison of infiltration proportion of T lymphocytes in tumor and nontumor breast tissue of 14 patient samples analyzed by IHC (P = 0.0023). B, Shannon diversity index of LN, nontumor, and tumor tissue. *p < 0.01, ***p < 0.001 according to Mann-Whitney U test.

  • Figure 2.
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    Figure 2.

    Shared clones between different tissues. The percentage was calculated by dividing the total clones of each tissue by the shared clones. A, The proportion of shared clones between LN and nontumor tissue. B, The proportion of shared clones between LN and tumor tissue. ***p < 0.001 according to Mann-Whitney U test.

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    Figure 3.

    Percentage of T-cell clones of tumor and LN tissue in different degree of expansion for each patient. Colored bars represent the percentage of T-cell clones in each proportion. (Expanded clone: > 0.1%; medium clone: 0.01%–0.1%; small clone: < 0.01%). A, Total T-cell clones of LN tissue. B, Total T-cell clones of tumor tissue. C, T-cell clones of LN shared with tumor tissue. D, T-cell clones of tumor tissue shared with LN tissue. # Node-positive patients with high LNR (>70%). The patients were ordered in sequence of their percentage of expanded clones for the total T cells in the LNs, from the smallest to the largest.

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    Figure 4.

    Correlation of node positivity with T lymphocyte ratio in tumor and expansion in LN. A, Comparison of infiltration proportion of T lymphocytes in tumor tissue of LN-positive patients and LN-negative patients (P = 0.1416). B, Comparison of infiltration proportion of T lymphocytes in tumor tissue of patients with high LNR and LN-negative patients (P = 0.00022). C, Comparison of T-cell expansion in LN for node-negative, node-positive, and high LNR patients (*, P < 0.05; **, P < 0.01; ***, P < 0.001, according to the Mann–Whitney U test; LNR, lymph node ratio).

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    Figure 5.

    The Pearson correlation coefficients between tumor and nontumor in luminal-like and basal-like breast cancer subtypes. A, The comparison in the main cohort. B, The comparison combining the main cohort with the validation cohort (*, P < 0.05 according to the Mann–Whitney U test).

Tables

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  • Additional Files
  • Table 1.

    The pathological data of the discovery cohort in the study

    Patient IDERHER2PRKi-67Lymph node ratioTumor subtypeTumor infiltration (%)Nontumor infiltration (%)
    BC0001A3+—2+20%0/16Luminal BNANA
    BC0002A1++—35%0/6Luminal B102
    BC0003A———30%1/14Basal-like200.1
    BC0004A3+—3+10%0/16Luminal A81
    BC0005A3++2+5%1/18Luminal B0.30.1
    BC0006A———95%0/5Basal-like250.5
    BC0007A———20%0/23Basal-like21
    BC0008A—+—40%0/29HER2 enrichedNANA
    BC0009A1+——30%14/18Luminal B300.1
    BC0010A———50%15/15Basal-like400.2
    BC0011A3+—2+5%0/20Luminal A80.1
    BC0012A2++1+28%0/16Luminal B31
    BC0013A———50%0/18Basal-like20.2
    BC0014A3+—3+28%0/23Luminal B0.22
    BC0015A———60%0/5Basal-like153
    BC0016A3+—2+10%1/10Luminal A120.1
    • NOTE: NA means this sample was not analyzed.

  • Table 2.

    Public TRB CDR3 clones among tumor tissues of all 16 patients

    Clone_CDR3Sample numberV geneJ geneID (%)
    CSARSPGYEQYF3TRBV20-1TRBJ2-7BC0002A(0.0035)BC0007A(0.0163)BC0012A(0.0196)
    CAISESTQAYEQYF3TRBV10-3TRBJ2-7BC0005A(0.0044)BC0007A(0.0229)BC0009A(0.0200)
    CASSLGQSSYGYTF3TRBV5-1TRBJ1-2BC0002A(0.0038)BC0004A(0.0101)BC0011A(0.0243)
    CATSRDSGGLGTTDTQYF3TRBV15TRBJ2-3BC0002A(0.0006)BC0005A(1.0582)BC0006A(0.0107)
    CSVDAGGGGNTIYF2TRBV29-1TRBJ1-3BC0012A(0.0291)BC0013A(0.0481)
    CSARVGLAGADTQYF2TRBV20-1TRBJ2-3BC0005A(0.0134)BC0014A(0.0116)
    CASSGTGGSSNQPQHF2TRBV6-3 TRBV6-2TRBJ1-5BC0001A(0.0166)BC0009A(0.0524)
    CSVAGTSGRNTGELFF2TRBV29-1TRBJ2-2BC0013A(0.0160)BC0015A(0.1018)
    CSAREIGGGGQPQHF2TRBV20-1TRBJ1-5BC0003A(0.0204)BC0008A(0.0135)
    CSASPGLAGRETQYF2TRBV20-1TRBJ2-5BC0004A(0.0131)BC0013A(0.0102)
    CSVEEAYEQYF2TRBV29-1TRBJ2-7BC0005A(0.0453)BC0007A(0.0135)
    CSANFRERNSPLHF2TRBV20-1TRBJ1-6BC0005A(0.8711)BC0006A(0.0107)
    CASSLFQGPSYEQYF2TRBV7-8TRBJ2-7BC0001A(0.0188)BC0010A(0.0837)
    CSASQTDTQYF2TRBV20-1TRBJ2-3BC0002A(0.0278)BC0008A(0.0358)
    CASSFAASKHYEQYF2TRBV12-4 TRBV12-3TRBJ2-7BC0016A(0.0152)BC0008A(0.0352)
    CSASRRDGTDTQYF2TRBV20-1TRBJ2-3BC0015A(0.0171)BC0008A(0.0149)
    CATSLAGGETQYF2TRBV24/OR9-2 TRBV24-1TRBJ2-5BC0011A(0.0100)BC0015A(0.1671)
    CATSDINEQFF2TRBV24/OR9-2 TRBV24-1TRBJ2-1BC0002A(0.0123)BC0010A(0.0211)
    CAWSPSGGLPQYF2TRBV30TRBJ2-3BC0005A(0.4246)BC0006A(0.0113)
    CATSRENNEQFF2TRBV15TRBJ2-1BC0003A(0.0113)BC0005A(0.0115)
    CSAPGQGSGNTIYF2TRBV20-1TRBJ1-3BC0001A(0.0108)BC0013A(0.0109)
    CASSLVGRGDYGYTF2TRBV7-2TRBJ1-2BC0003A(0.0141)
    TRBV5-1TRBJ1-2BC0004A(0.0177)
    CASSATGTGANSPLHF2TRBV5-1TRBJ1-6BC0001A(0.0147)
    TRBV2TRBJ1-6BC0003A(0.1580)
    CASTTNTDTQYF2TRBV12-4 TRBV12-3TRBJ2-3BC0010A(0.0182)
    TRBV19TRBJ2-3BC0009A(0.0301)
    • Note: All these clones were filtered with a TRB database of 661 healthy individuals.

Additional Files

  • Figures
  • Tables
  • Supplementary Data

    • Supplementary Figure S1 - Amplification bias assessment across multiplex PCR primer mix.
    • Supplementary Figure S2 - TRB repertoire diversity of lymph node, non-tumor and tumor tissue.
    • Supplementary Figure S3 - Comparison of TRBV or TRBJ segment usage between tumor tissue and other two tissues.
    • Supplementary Figure S4 - Shared clone frequency between lymph node and tumor tissue in lymph node and tumor tissue.
    • Supplementary Figure S5 - Expanded clones (>0.1%) percentage in tumor tissue and lymph node.
    • Supplementary Figure S6 - The similarity between paired lymph node, non-tumor and tumor tissue.
    • Supplementary Figure Legends and Supplementary Tables 1 through 3 - Supplementary Figure Legends. Table S1. The reproducibility of IHC scoring of infiltrated T cells. Table S2. The infiltration level of CD4+ and CD8+ T cells in tumors and non-tumors. Table S3. The clinical characteristics of 49 patients.
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Cancer Immunology Research: 5 (2)
February 2017
Volume 5, Issue 2
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The Different T-cell Receptor Repertoires in Breast Cancer Tumors, Draining Lymph Nodes, and Adjacent Tissues
Ting Wang, Changxi Wang, Jinghua Wu, Chenyang He, Wei Zhang, Jiayun Liu, Ruifang Zhang, Yonggang Lv, Yongping Li, Xiaojing Zeng, Hongzhi Cao, Xiuqing Zhang, Xun Xu, Chen Huang, Ling Wang and Xiao Liu
Cancer Immunol Res February 1 2017 (5) (2) 148-156; DOI: 10.1158/2326-6066.CIR-16-0107

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The Different T-cell Receptor Repertoires in Breast Cancer Tumors, Draining Lymph Nodes, and Adjacent Tissues
Ting Wang, Changxi Wang, Jinghua Wu, Chenyang He, Wei Zhang, Jiayun Liu, Ruifang Zhang, Yonggang Lv, Yongping Li, Xiaojing Zeng, Hongzhi Cao, Xiuqing Zhang, Xun Xu, Chen Huang, Ling Wang and Xiao Liu
Cancer Immunol Res February 1 2017 (5) (2) 148-156; DOI: 10.1158/2326-6066.CIR-16-0107
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