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Immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy
BACKGROUND: Emerging evidence has shown that intra-tumor immune features are associated with response to immune checkpoint blockade (ICB) therapy. Accordingly, patient stratification is needed for identifying target patients and designing strategies to improve the efficacy of ICB therapy. We aimed t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908647/ https://www.ncbi.nlm.nih.gov/pubmed/33637086 http://dx.doi.org/10.1186/s12935-021-01824-z |
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author | Liu, Jingkai Liu, Qiaofei Zhang, Xiang Cui, Ming Li, Tong Zhang, Yalu Liao, Quan |
author_facet | Liu, Jingkai Liu, Qiaofei Zhang, Xiang Cui, Ming Li, Tong Zhang, Yalu Liao, Quan |
author_sort | Liu, Jingkai |
collection | PubMed |
description | BACKGROUND: Emerging evidence has shown that intra-tumor immune features are associated with response to immune checkpoint blockade (ICB) therapy. Accordingly, patient stratification is needed for identifying target patients and designing strategies to improve the efficacy of ICB therapy. We aimed to depict the specific immune features of patients with pancreatic cancer and explore the implication of immune diversity in prognostic prediction and individualized immunotherapy. METHODS: From transcriptional profiles of 383 tumor samples in TCGA, ICGC, and GEO database, robust immune subtypes which had different response immunotherapy, including ICB therapy, were identified by consensus clustering with five gene modules. DEGs analysis and tumor microarray were used to screen and demonstrate potential targets for improving ICB therapy. RESULTS: Three subtypes of pancreatic cancer, namely cluster 1–3 (C1–C3), characterized with distinct immune features and prognosis, were generated. Of that, subtype C1 was an immune-cold type in lack of immune regulators, subtype C2, with an immunosuppression-dominated phenotype characterized by robust TGFβ signaling and stromal reaction, showed the worst prognosis, subtype C3 was an immune-hot type, with massive immune cell infiltration and in abundance of immune regulators. The disparity of immune features uncovered the discrepant applicability of anti-PD-1/PD-L1 therapy and potential sensitivity to other alternative immunotherapy for each subtype. Patients in C3 were more suitable for anti-PD-1/PD-L1 therapy, while patients in the other two clusters may need combined strategies targeted on other immune checkpoints or oncogenic pathways. A promising target for improving anti-PD-1/PD-L1 treatment, TGM2, was screened out and its role in the regulation of PD-L1 was investigated for the first time. CONCLUSION: Collectively, immune features of pancreatic cancer contribute to distinct immunosuppressive mechanisms that are responsible for individualized immunotherapy. Despite pancreatic cancer being considered as a poor immunogenic cancer type, the derived immune subtypes may have implications in tailored designing of immunotherapy for the patients. TGM2 has potential synergistic roles with ICB therapy. |
format | Online Article Text |
id | pubmed-7908647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79086472021-02-26 Immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy Liu, Jingkai Liu, Qiaofei Zhang, Xiang Cui, Ming Li, Tong Zhang, Yalu Liao, Quan Cancer Cell Int Primary Research BACKGROUND: Emerging evidence has shown that intra-tumor immune features are associated with response to immune checkpoint blockade (ICB) therapy. Accordingly, patient stratification is needed for identifying target patients and designing strategies to improve the efficacy of ICB therapy. We aimed to depict the specific immune features of patients with pancreatic cancer and explore the implication of immune diversity in prognostic prediction and individualized immunotherapy. METHODS: From transcriptional profiles of 383 tumor samples in TCGA, ICGC, and GEO database, robust immune subtypes which had different response immunotherapy, including ICB therapy, were identified by consensus clustering with five gene modules. DEGs analysis and tumor microarray were used to screen and demonstrate potential targets for improving ICB therapy. RESULTS: Three subtypes of pancreatic cancer, namely cluster 1–3 (C1–C3), characterized with distinct immune features and prognosis, were generated. Of that, subtype C1 was an immune-cold type in lack of immune regulators, subtype C2, with an immunosuppression-dominated phenotype characterized by robust TGFβ signaling and stromal reaction, showed the worst prognosis, subtype C3 was an immune-hot type, with massive immune cell infiltration and in abundance of immune regulators. The disparity of immune features uncovered the discrepant applicability of anti-PD-1/PD-L1 therapy and potential sensitivity to other alternative immunotherapy for each subtype. Patients in C3 were more suitable for anti-PD-1/PD-L1 therapy, while patients in the other two clusters may need combined strategies targeted on other immune checkpoints or oncogenic pathways. A promising target for improving anti-PD-1/PD-L1 treatment, TGM2, was screened out and its role in the regulation of PD-L1 was investigated for the first time. CONCLUSION: Collectively, immune features of pancreatic cancer contribute to distinct immunosuppressive mechanisms that are responsible for individualized immunotherapy. Despite pancreatic cancer being considered as a poor immunogenic cancer type, the derived immune subtypes may have implications in tailored designing of immunotherapy for the patients. TGM2 has potential synergistic roles with ICB therapy. BioMed Central 2021-02-26 /pmc/articles/PMC7908647/ /pubmed/33637086 http://dx.doi.org/10.1186/s12935-021-01824-z Text en © The Author(s) 2021 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Primary Research Liu, Jingkai Liu, Qiaofei Zhang, Xiang Cui, Ming Li, Tong Zhang, Yalu Liao, Quan Immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy |
title | Immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy |
title_full | Immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy |
title_fullStr | Immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy |
title_full_unstemmed | Immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy |
title_short | Immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy |
title_sort | immune subtyping for pancreatic cancer with implication in clinical outcomes and improving immunotherapy |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908647/ https://www.ncbi.nlm.nih.gov/pubmed/33637086 http://dx.doi.org/10.1186/s12935-021-01824-z |
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