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Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data
Despite the impressive impact of PD-1 (programmed cell death protein 1)-targeted cancer immunotherapy, a great part of patients with cancer fail to respond. PD-1 impact on immune cells in addition to T cells, and the synergistic role of PD-1 with other immune modulators remain largely unknown. To fi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718028/ https://www.ncbi.nlm.nih.gov/pubmed/33329517 http://dx.doi.org/10.3389/fimmu.2020.558757 |
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author | Liu, Qiang Cheng, Ran Kong, Xiangyi Wang, Zhongzhao Fang, Yi Wang, Jing |
author_facet | Liu, Qiang Cheng, Ran Kong, Xiangyi Wang, Zhongzhao Fang, Yi Wang, Jing |
author_sort | Liu, Qiang |
collection | PubMed |
description | Despite the impressive impact of PD-1 (programmed cell death protein 1)-targeted cancer immunotherapy, a great part of patients with cancer fail to respond. PD-1 impact on immune cells in addition to T cells, and the synergistic role of PD-1 with other immune modulators remain largely unknown. To fill this gap, we systematically investigated PD-1-related transcriptome data and relevant clinical information derived from TCGA (The Cancer Genome Atlas) and METABRIC (Molecular Taxonomy of Breast Cancer International Consortium), which involved a total of 2,994 breast cancer patients. Our results revealed the relationship among PD-1 and major molecular and clinical characteristics in breast cancer. More importantly, we depicted the association landscape between PD-1 and other immune cell populations. Gene ontology analyses and gene set variation analysis (GSVA) of genes correlated with PD-1 revealed that PD-1 was mainly involved in immune responses and inflammatory activities. We also elucidated the association of PD-1 with other immune modulators in pan-cancer level, especially the potential synergistic relationship between PD-1 and other immune checkpoints members in breast cancer. In short, the expression level of PD-1 was bound up with breast cancer malignancy, which could be used as a potential biomarker; PD-1 might manipulate the anti-tumor immune response by impacting not just T cells, and this might vary among different tumor types. Furthermore, PD-1 might synergize with other immune checkpoint members to modulate the immune microenvironment in breast cancer. |
format | Online Article Text |
id | pubmed-7718028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77180282020-12-15 Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data Liu, Qiang Cheng, Ran Kong, Xiangyi Wang, Zhongzhao Fang, Yi Wang, Jing Front Immunol Immunology Despite the impressive impact of PD-1 (programmed cell death protein 1)-targeted cancer immunotherapy, a great part of patients with cancer fail to respond. PD-1 impact on immune cells in addition to T cells, and the synergistic role of PD-1 with other immune modulators remain largely unknown. To fill this gap, we systematically investigated PD-1-related transcriptome data and relevant clinical information derived from TCGA (The Cancer Genome Atlas) and METABRIC (Molecular Taxonomy of Breast Cancer International Consortium), which involved a total of 2,994 breast cancer patients. Our results revealed the relationship among PD-1 and major molecular and clinical characteristics in breast cancer. More importantly, we depicted the association landscape between PD-1 and other immune cell populations. Gene ontology analyses and gene set variation analysis (GSVA) of genes correlated with PD-1 revealed that PD-1 was mainly involved in immune responses and inflammatory activities. We also elucidated the association of PD-1 with other immune modulators in pan-cancer level, especially the potential synergistic relationship between PD-1 and other immune checkpoints members in breast cancer. In short, the expression level of PD-1 was bound up with breast cancer malignancy, which could be used as a potential biomarker; PD-1 might manipulate the anti-tumor immune response by impacting not just T cells, and this might vary among different tumor types. Furthermore, PD-1 might synergize with other immune checkpoint members to modulate the immune microenvironment in breast cancer. Frontiers Media S.A. 2020-11-17 /pmc/articles/PMC7718028/ /pubmed/33329517 http://dx.doi.org/10.3389/fimmu.2020.558757 Text en Copyright © 2020 Liu, Cheng, Kong, Wang, Fang and Wang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Liu, Qiang Cheng, Ran Kong, Xiangyi Wang, Zhongzhao Fang, Yi Wang, Jing Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data |
title | Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data |
title_full | Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data |
title_fullStr | Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data |
title_full_unstemmed | Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data |
title_short | Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data |
title_sort | molecular and clinical characterization of pd-1 in breast cancer using large-scale transcriptome data |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718028/ https://www.ncbi.nlm.nih.gov/pubmed/33329517 http://dx.doi.org/10.3389/fimmu.2020.558757 |
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