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Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer
Chemo-immunotherapy combinations have been regarded as one of the most practical ways to improve immunotherapy response in cancer patients. In this study, we integrated the transcriptomics data from immunotherapy-treated tumors and compound-treated cell lines to systematically identify chemo-immunot...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543256/ https://www.ncbi.nlm.nih.gov/pubmed/37790509 http://dx.doi.org/10.21203/rs.3.rs-3290264/v1 |
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author | Wang, Yue Pattarayan, Dhamotharan Huang, Haozhe Zhao, Yueshan Li, Sihan Wang, Yifei Zhang, Min Li, Song Yang, Da |
author_facet | Wang, Yue Pattarayan, Dhamotharan Huang, Haozhe Zhao, Yueshan Li, Sihan Wang, Yifei Zhang, Min Li, Song Yang, Da |
author_sort | Wang, Yue |
collection | PubMed |
description | Chemo-immunotherapy combinations have been regarded as one of the most practical ways to improve immunotherapy response in cancer patients. In this study, we integrated the transcriptomics data from immunotherapy-treated tumors and compound-treated cell lines to systematically identify chemo-immunotherapy synergisms and their underlying mechanisms. Through analyzing anti-PD-1 treatment induced expression changes in patient tumors, we developed a shift ability score that can measure whether a chemotherapy treatment shifts anti-PD-1 response. By applying the shift ability analysis on 41,321 compounds and 16,853 shRNA treated cancer cell line expression profiles, we characterized a systematic landscape of chemo-immunotherapy synergism and prioritized 17 potential synergy targets. Further investigation of the treatment induced transcriptomic data revealed that a mitophagy-dsRNA-MAVS-dependent activation of type I IFN signaling may be a novel mechanism for chemo-immunotherapy synergism. Our study represents the first comprehensive effort to mechanistically characterize chemo-immunotherapy synergism and will facilitate future pre-clinical and clinical studies. |
format | Online Article Text |
id | pubmed-10543256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-105432562023-10-03 Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer Wang, Yue Pattarayan, Dhamotharan Huang, Haozhe Zhao, Yueshan Li, Sihan Wang, Yifei Zhang, Min Li, Song Yang, Da Res Sq Article Chemo-immunotherapy combinations have been regarded as one of the most practical ways to improve immunotherapy response in cancer patients. In this study, we integrated the transcriptomics data from immunotherapy-treated tumors and compound-treated cell lines to systematically identify chemo-immunotherapy synergisms and their underlying mechanisms. Through analyzing anti-PD-1 treatment induced expression changes in patient tumors, we developed a shift ability score that can measure whether a chemotherapy treatment shifts anti-PD-1 response. By applying the shift ability analysis on 41,321 compounds and 16,853 shRNA treated cancer cell line expression profiles, we characterized a systematic landscape of chemo-immunotherapy synergism and prioritized 17 potential synergy targets. Further investigation of the treatment induced transcriptomic data revealed that a mitophagy-dsRNA-MAVS-dependent activation of type I IFN signaling may be a novel mechanism for chemo-immunotherapy synergism. Our study represents the first comprehensive effort to mechanistically characterize chemo-immunotherapy synergism and will facilitate future pre-clinical and clinical studies. American Journal Experts 2023-09-14 /pmc/articles/PMC10543256/ /pubmed/37790509 http://dx.doi.org/10.21203/rs.3.rs-3290264/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Wang, Yue Pattarayan, Dhamotharan Huang, Haozhe Zhao, Yueshan Li, Sihan Wang, Yifei Zhang, Min Li, Song Yang, Da Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer |
title | Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer |
title_full | Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer |
title_fullStr | Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer |
title_full_unstemmed | Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer |
title_short | Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer |
title_sort | systematic investigation of chemo-immunotherapy synergism to shift anti-pd-1 resistance in cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543256/ https://www.ncbi.nlm.nih.gov/pubmed/37790509 http://dx.doi.org/10.21203/rs.3.rs-3290264/v1 |
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