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Genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy
Drugs that target immune checkpoints (ICPs) have become the most popular weapons in cancer immunotherapy; however, they are only beneficial for a small fraction of patients. Accumulating evidence suggests that the tumor immune microenvironment (TIME) plays a critical role in anti-cancer immunity. Th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666137/ https://www.ncbi.nlm.nih.gov/pubmed/33299118 http://dx.doi.org/10.1038/s41698-020-00136-1 |
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author | Huang, Xing Tang, Tianyu Zhang, Gang Hong, Zhengtao Xu, Jian Yadav, Dipesh Kumar Bai, Xueli Liang, Tingbo |
author_facet | Huang, Xing Tang, Tianyu Zhang, Gang Hong, Zhengtao Xu, Jian Yadav, Dipesh Kumar Bai, Xueli Liang, Tingbo |
author_sort | Huang, Xing |
collection | PubMed |
description | Drugs that target immune checkpoints (ICPs) have become the most popular weapons in cancer immunotherapy; however, they are only beneficial for a small fraction of patients. Accumulating evidence suggests that the tumor immune microenvironment (TIME) plays a critical role in anti-cancer immunity. This study aimed to assess the potential merits and feasibility of combinational targeting ICPs and TIME in cancer immunotherapy. A total of 31 cancer type-specific datasets in TCGA were individually collected by the publicly available web servers for multiple bioinformatic analyses of ICPs and TIME factors. GEPIA was used to calculate the prognostic indexes, STRING was used to construct protein–protein interactions, cBioPortal was used for visualization and comparison of genetic alterations, and TISIDB was used to explore the correlation to tumor-infiltrating lymphocytes (TILs). Intriguingly, TIME factors were identified to have more global coverage and prognostic significance across multiple cancer types compared with ICPs, thus offering more general targetability in clinical therapy. Moreover, TIME factors showed interactive potential with ICPs, and genomic alteration of TIME factors coupled with that of ICPs, at least in pancreatic cancer. Furthermore, TIME factors were found to be significantly associated with TILs, including but not limited to pancreatic cancer. Finally, the clinical significance and translational potential of further combination therapies that incorporate both ICP inhibitors and TIME factor-targeted treatments were discussed. Together, TIME factors are promising immunotherapeutic targets, and a combination strategy of TIME factors-targeted therapies with ICP inhibitors may benefit more cancer patients in the future. |
format | Online Article Text |
id | pubmed-7666137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76661372020-11-16 Genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy Huang, Xing Tang, Tianyu Zhang, Gang Hong, Zhengtao Xu, Jian Yadav, Dipesh Kumar Bai, Xueli Liang, Tingbo NPJ Precis Oncol Article Drugs that target immune checkpoints (ICPs) have become the most popular weapons in cancer immunotherapy; however, they are only beneficial for a small fraction of patients. Accumulating evidence suggests that the tumor immune microenvironment (TIME) plays a critical role in anti-cancer immunity. This study aimed to assess the potential merits and feasibility of combinational targeting ICPs and TIME in cancer immunotherapy. A total of 31 cancer type-specific datasets in TCGA were individually collected by the publicly available web servers for multiple bioinformatic analyses of ICPs and TIME factors. GEPIA was used to calculate the prognostic indexes, STRING was used to construct protein–protein interactions, cBioPortal was used for visualization and comparison of genetic alterations, and TISIDB was used to explore the correlation to tumor-infiltrating lymphocytes (TILs). Intriguingly, TIME factors were identified to have more global coverage and prognostic significance across multiple cancer types compared with ICPs, thus offering more general targetability in clinical therapy. Moreover, TIME factors showed interactive potential with ICPs, and genomic alteration of TIME factors coupled with that of ICPs, at least in pancreatic cancer. Furthermore, TIME factors were found to be significantly associated with TILs, including but not limited to pancreatic cancer. Finally, the clinical significance and translational potential of further combination therapies that incorporate both ICP inhibitors and TIME factor-targeted treatments were discussed. Together, TIME factors are promising immunotherapeutic targets, and a combination strategy of TIME factors-targeted therapies with ICP inhibitors may benefit more cancer patients in the future. Nature Publishing Group UK 2020-11-13 /pmc/articles/PMC7666137/ /pubmed/33299118 http://dx.doi.org/10.1038/s41698-020-00136-1 Text en © The Author(s) 2020 Open Access 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. The 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. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Huang, Xing Tang, Tianyu Zhang, Gang Hong, Zhengtao Xu, Jian Yadav, Dipesh Kumar Bai, Xueli Liang, Tingbo Genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy |
title | Genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy |
title_full | Genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy |
title_fullStr | Genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy |
title_full_unstemmed | Genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy |
title_short | Genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy |
title_sort | genomic investigation of co-targeting tumor immune microenvironment and immune checkpoints in pan-cancer immunotherapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666137/ https://www.ncbi.nlm.nih.gov/pubmed/33299118 http://dx.doi.org/10.1038/s41698-020-00136-1 |
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