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Research ArticleOriginal Article

Hub genes associated with immune cell infiltration in breast cancer, identified through bioinformatic analyses of multiple datasets

Huanyu Zhao, Ruoyu Dang, Yipan Zhu, Baijian Qu, Yasra Sayyed, Ying Wen, Xicheng Liu, Jianping Lin and Luyuan Li
Cancer Biology & Medicine September 2022, 19 (9) 1352-1374; DOI: https://doi.org/10.20892/j.issn.2095-3941.2021.0586
Huanyu Zhao
1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
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Ruoyu Dang
1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
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Yipan Zhu
1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
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Baijian Qu
1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
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Yasra Sayyed
1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
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Ying Wen
1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
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Xicheng Liu
2Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
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Jianping Lin
1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
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Luyuan Li
1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
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  • ORCID record for Luyuan Li
  • For correspondence: liluyuan{at}nankai.edu.cn
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Article Information

vol. 19 no. 9 1352-1374
DOI 
https://doi.org/10.20892/j.issn.2095-3941.2021.0586

Published By 
Cancer Biology & Medicine
History 
  • Received December 23, 2021
  • Accepted February 25, 2022
  • Published online September 22, 2022.

Article Versions

  • previous version (July 15, 2022 - 07:16).
  • You are viewing the most recent version of this article.
Copyright & Usage 
Copyright: © 2022, Cancer Biology & Medicine https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Author Information

  1. Huanyu Zhao1,
  2. Ruoyu Dang1,
  3. Yipan Zhu1,
  4. Baijian Qu1,
  5. Yasra Sayyed1,
  6. Ying Wen1,
  7. Xicheng Liu2,
  8. Jianping Lin1 and
  9. Luyuan Li1⇑
  1. 1State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
  2. 2Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
  1. Correspondence to: Luyuan Li E-mail: liluyuan{at}nankai.edu.cn
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Cancer Biology & Medicine: 19 (9)
Cancer Biology & Medicine
Vol. 19, Issue 9
15 Sep 2022
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Hub genes associated with immune cell infiltration in breast cancer, identified through bioinformatic analyses of multiple datasets
Huanyu Zhao, Ruoyu Dang, Yipan Zhu, Baijian Qu, Yasra Sayyed, Ying Wen, Xicheng Liu, Jianping Lin, Luyuan Li
Cancer Biology & Medicine Sep 2022, 19 (9) 1352-1374; DOI: 10.20892/j.issn.2095-3941.2021.0586

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Hub genes associated with immune cell infiltration in breast cancer, identified through bioinformatic analyses of multiple datasets
Huanyu Zhao, Ruoyu Dang, Yipan Zhu, Baijian Qu, Yasra Sayyed, Ying Wen, Xicheng Liu, Jianping Lin, Luyuan Li
Cancer Biology & Medicine Sep 2022, 19 (9) 1352-1374; DOI: 10.20892/j.issn.2095-3941.2021.0586
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Keywords

  • bioinformatics
  • Breast cancer
  • multi-datasets analysis
  • immune cell infiltration
  • survival analysis

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