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dc.contributor.authorTan, Renbo
dc.contributor.authorLi, Haoyang
dc.contributor.authorHuang, Zhenyu
dc.contributor.authorZhou, Yi
dc.contributor.authorTao, Mingxin
dc.contributor.authorGao, Xin
dc.contributor.authorXu, Ying
dc.date.accessioned2020-02-23T06:10:26Z
dc.date.available2020-02-23T06:10:26Z
dc.date.issued2020-02-20
dc.date.submitted2019-08-30
dc.identifier.citationTan, R., Li, H., Huang, Z., Zhou, Y., Tao, M., Gao, X., & Xu, Y. (2020). Neural Functions Play Different Roles in Triple Negative Breast Cancer (TNBC) and non-TNBC. Scientific Reports, 10(1). doi:10.1038/s41598-020-60030-5
dc.identifier.doi10.1038/s41598-020-60030-5
dc.identifier.urihttp://hdl.handle.net/10754/661614
dc.description.abstractTriple negative breast cancer (TNBC) represents the most malignant subtype of breast cancer, and yet our understanding about its unique biology remains elusive. We have conducted a comparative computational analysis of transcriptomic data of TNBC and non-TNBC (NTNBC) tissue samples from the TCGA database, focused on genes involved in neural functions. Our main discoveries are: (1) while both subtypes involve neural functions, TNBC has substantially more up-regulated neural genes than NTNBC, suggesting that TNBC is more complex than NTNBC; (2) non-neural functions related to cell-microenvironment interactions and intracellular damage processing are key inducers of the neural genes in both TNBC and NTNBC, but the inducer-responder relationships are different in the two cancer subtypes; (3) key neural functions such as neural crest formation are predicted to enhance adaptive immunity in TNBC while glia development, along with a few other neural functions, induce both innate and adaptive immunity in NTNBC. These results reveal key differences in the biology between the two cancer subtypes, particularly in terms of the roles that neural functions play. Our findings may open new doors for further investigation of the distinct biology of TNBC vs. NTNBC.
dc.description.sponsorshipThe authors thank Professor Sha Cao of Indiana University Biostatistics Department for the advice regarding data analytics. The senior author thanks the financial support from both Georgia Research Alliance and the China-Japan Union Hospital of Jilin University.
dc.publisherSpringer Nature
dc.relation.urlhttp://www.nature.com/articles/s41598-020-60030-5
dc.relation.urlhttps://www.nature.com/articles/s41598-020-60030-5.pdf
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleNeural Functions Play Different Roles in Triple Negative Breast Cancer (TNBC) and non-TNBC
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentStructural and Functional Bioinformatics Group
dc.identifier.journalScientific Reports
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSchool of Life Sciences, Tsinghua University, Beijing, 100084, China.
dc.contributor.institutionCancer Systems Biology Center, The China-Japan Union Hospital of Jilin University, Changchun, 130033, China.
dc.contributor.institutionComputational Systems Biology Lab, Department of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia, Athens, 30602, USA.
kaust.personGao, Xin
dc.date.accepted2020-02-04
refterms.dateFOA2020-02-23T06:11:10Z
dc.date.published-online2020-02-20
dc.date.published-print2020-12


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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.