T cell receptor sequencing of early-stage breast cancer tumors identifies altered clonal structure of the T cell repertoire

被引:45
|
作者
Beausang, John F. [1 ]
Wheeler, Amanda J. [2 ]
Chan, Natalie H. [2 ]
Hanft, Violet R. [2 ]
Dirbas, Frederick M. [2 ]
Jeffrey, Stefanie S. [2 ]
Quake, Stephen R. [1 ,3 ,4 ]
机构
[1] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Med, Dept Surg, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Appl Phys, Stanford, CA 94305 USA
[4] Chan Zuckerberg Biohub, San Francisco, CA 94518 USA
关键词
T cell receptor; breast cancer; repertoire sequencing; INFILTRATING LYMPHOCYTES; INTRATUMOR HETEROGENEITY; REVEALS; IMMUNITY; DETERMINANTS; NEOANTIGENS; DIVERSITY; RELEVANCE; ANTIGENS; TILS;
D O I
10.1073/pnas.1713863114
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Tumor-infiltrating T cells play an important role in many cancers, and can improve prognosis and yield therapeutic targets. We characterized T cells infiltrating both breast cancer tumors and the surrounding normal breast tissue to identify T cells specific to each, as well as their abundance in peripheral blood. Using immune profiling of the T cell beta-chain repertoire in 16 patients with early-stage breast cancer, we show that the clonal structure of the tumor is significantly different from adjacent breast tissue, with the tumor containing similar to 2.5-fold greater density of T cells and higher clonality compared with normal breast. The clonal structure of T cells in blood and normal breast is more similar than between blood and tumor, and could be used to distinguish tumor from normal breast tissue in 14 of 16 patients. Many T cell sequences overlap between tissue and blood from the same patient, including similar to 50% of T cells between tumor and normal breast. Both tumor and normal breast contain high-abundance "enriched" sequences that are absent or of low abundance in the other tissue. Many of these T cells are either not detected or detected with very low frequency in the blood, suggesting the existence of separate compartments of T cells in both tumor and normal breast. Enriched T cell sequences are typically unique to each patient, but a subset is shared between many different patients. We show that many of these are commonly generated sequences, and thus unlikely to play an important role in the tumor microenvironment.
引用
收藏
页码:E10409 / E10417
页数:9
相关论文
共 50 条
  • [1] T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy
    Frank, Meredith L.
    Lu, Kaylene
    Erdogan, Can
    Han, Yi
    Hu, Jian
    Wang, Tao
    Heymach, John, V
    Zhang, Jianjun
    Reuben, Alexandre
    CLINICAL CANCER RESEARCH, 2023, 29 (06) : 994 - 1008
  • [2] Characterization of the T-cell receptor repertoire by deep T cell receptor sequencing in tissues from patients with prostate cancer
    Liu, Song
    Pan, Weibing
    Cheng, Zhiqiang
    Sun, Guoping
    Zhu, Peng
    Chan, Franky
    Hu, Yunlong
    Zhang, Xinzhou
    Dai, Yong
    ONCOLOGY LETTERS, 2018, 15 (02) : 1744 - 1752
  • [3] Analysis of T cell receptor repertoire based on Vβ chain in patients with breast cancer
    Faghih, Zahra
    Deihimi, Safoora
    Talei, Abdolrasoul
    Ghaderi, Abbas
    Erfani, Nasrollah
    CANCER BIOMARKERS, 2018, 22 (04) : 733 - 745
  • [4] Probing the T-cell receptor repertoire with deep sequencing
    Miconnet, Isabelle
    CURRENT OPINION IN HIV AND AIDS, 2012, 7 (01) : 64 - 70
  • [5] Characterization of the T cell repertoire by deep T cell receptor sequencing in tissues and blood from patients with advanced colorectal cancer
    Tamura, Kenji
    Hazama, Shoichi
    Yamaguchi, Rui
    Imoto, Seiya
    Takenouchi, Hiroko
    Inoue, Yuka
    Kanekiyo, Shinsuke
    Shindo, Yoshitaro
    Miyano, Satoru
    Nakamura, Yusuke
    Kiyotani, Kazuma
    ONCOLOGY LETTERS, 2016, 11 (06) : 3643 - 3649
  • [6] Deep sequencing of the T cell receptor β repertoire reveals signature patterns and clonal drift in atherosclerotic plaques and patients
    Lin, Zongwei
    Qian, Shao
    Gong, Yan
    Ren, Jianwei
    Zhao, Lixia
    Wang, Dongxiao
    Wang, Xiaowei
    Zhang, Yun
    Wang, Zhe
    Zhang, Qunye
    ONCOTARGET, 2017, 8 (59) : 99312 - 99322
  • [7] High-throughput sequencing of the T-cell receptor repertoire: pitfalls and opportunities
    Heather, James M.
    Ismail, Mazlina
    Oakes, Theres
    Chain, Benny
    BRIEFINGS IN BIOINFORMATICS, 2018, 19 (04) : 554 - 565
  • [8] Rigorous benchmarking of T-cell receptor repertoire profiling methods for cancer RNA sequencing
    Peng, Kerui
    Nowicki, Theodore S.
    Campbell, Katie
    Vahed, Mohammad
    Peng, Dandan
    Meng, Yiting
    Nagareddy, Anish
    Huang, Yu-Ning
    Karlsberg, Aaron
    Miller, Zachary
    Brito, Jaqueline
    Nadel, Brian
    Pak, Victoria M.
    Abedalthagafi, Malak S.
    Burkhardt, Amanda M.
    Alachkar, Houda
    Ribas, Antoni
    Mangul, Serghei
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (04)
  • [9] T-Cell Receptor Repertoire Sequencing and Its Applications: Focus on Infectious Diseases and Cancer
    Mazzotti, Lucia
    Gaimari, Anna
    Bravaccini, Sara
    Maltoni, Roberta
    Cerchione, Claudio
    Juan, Manel
    Navarro, Europa Azucena-Gonzalez
    Pasetto, Anna
    Nascimento Silva, Daniela
    Ancarani, Valentina
    Sambri, Vittorio
    Calabro, Luana
    Martinelli, Giovanni
    Mazza, Massimiliano
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (15)
  • [10] Comment on 'rigorous benchmarking of T cell receptor repertoire profiling methods for cancer RNA sequencing'
    Davydov, Alexey N.
    Bolotin, Dmitry A.
    Poslavsky, Stanislav V.
    Chudakov, Dmitry M.
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (06)