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Modeling cross‐talk of RNA modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy

RNA modification includes four main types, N6‐methyladenosine, N1‐methyladenosine, alternative polyadenylation (APA), and adenosine‐to‐inosine (A‐to‐I) RNA editing, involving 41 enzymes that serve as “writers”, “readers” and “erasers”. By collecting RNA modifying enzyme information in 1759 hepatobil...

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Autores principales: Qi, Feng, Li, Jia, Qi, Zhuoran, Zhou, Bin, Yang, Biwei, Zhang, Jun, Qin, Wenxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113697/
https://www.ncbi.nlm.nih.gov/pubmed/37090117
http://dx.doi.org/10.1002/mco2.256
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author Qi, Feng
Li, Jia
Qi, Zhuoran
Zhou, Bin
Yang, Biwei
Zhang, Jun
Qin, Wenxing
author_facet Qi, Feng
Li, Jia
Qi, Zhuoran
Zhou, Bin
Yang, Biwei
Zhang, Jun
Qin, Wenxing
author_sort Qi, Feng
collection PubMed
description RNA modification includes four main types, N6‐methyladenosine, N1‐methyladenosine, alternative polyadenylation (APA), and adenosine‐to‐inosine (A‐to‐I) RNA editing, involving 41 enzymes that serve as “writers”, “readers” and “erasers”. By collecting RNA modifying enzyme information in 1759 hepatobiliary malignancy (HBM) samples from 11 datasets, an RNA modification HBM Score (RH_score) was established based on unsupervised cluster analysis of RNA modification‐associated differentially expressed genes (DEGs). We identified the imbalanced expression of 41 RNA modification enzymes in HBM, which was scientifically categorized into two groups: RH_Score high and RH_Score low. A high RH_Score was associated with a worse prognosis and more immature immune cells in the tumor microenvironment (TME), while a low RH_Score was associated with a better prognosis and more mature immune cells in the TME. Further analysis using single‐cell databases showed that the high RH_Score was immune exhaustion in the TME. RH_Score was involved in transcriptional regulation and post‐transcriptional events in HBM. Additionally, resistant and sensitive drugs were selected based on RNA modification, and anti‐PD‐L1 therapy responded better with low RH_Score. In conclusion, our study comprehensively analyzes RNA modification in HBM, which induces TME changes and transcriptional and posttranscriptional events, implying potential guiding significance in prognosis prediction and treatment options.
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spelling pubmed-101136972023-04-20 Modeling cross‐talk of RNA modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy Qi, Feng Li, Jia Qi, Zhuoran Zhou, Bin Yang, Biwei Zhang, Jun Qin, Wenxing MedComm (2020) Original Articles RNA modification includes four main types, N6‐methyladenosine, N1‐methyladenosine, alternative polyadenylation (APA), and adenosine‐to‐inosine (A‐to‐I) RNA editing, involving 41 enzymes that serve as “writers”, “readers” and “erasers”. By collecting RNA modifying enzyme information in 1759 hepatobiliary malignancy (HBM) samples from 11 datasets, an RNA modification HBM Score (RH_score) was established based on unsupervised cluster analysis of RNA modification‐associated differentially expressed genes (DEGs). We identified the imbalanced expression of 41 RNA modification enzymes in HBM, which was scientifically categorized into two groups: RH_Score high and RH_Score low. A high RH_Score was associated with a worse prognosis and more immature immune cells in the tumor microenvironment (TME), while a low RH_Score was associated with a better prognosis and more mature immune cells in the TME. Further analysis using single‐cell databases showed that the high RH_Score was immune exhaustion in the TME. RH_Score was involved in transcriptional regulation and post‐transcriptional events in HBM. Additionally, resistant and sensitive drugs were selected based on RNA modification, and anti‐PD‐L1 therapy responded better with low RH_Score. In conclusion, our study comprehensively analyzes RNA modification in HBM, which induces TME changes and transcriptional and posttranscriptional events, implying potential guiding significance in prognosis prediction and treatment options. John Wiley and Sons Inc. 2023-04-18 /pmc/articles/PMC10113697/ /pubmed/37090117 http://dx.doi.org/10.1002/mco2.256 Text en © 2023 The Authors. MedComm published by Sichuan International Medical Exchange & Promotion Association (SCIMEA) and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Qi, Feng
Li, Jia
Qi, Zhuoran
Zhou, Bin
Yang, Biwei
Zhang, Jun
Qin, Wenxing
Modeling cross‐talk of RNA modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy
title Modeling cross‐talk of RNA modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy
title_full Modeling cross‐talk of RNA modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy
title_fullStr Modeling cross‐talk of RNA modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy
title_full_unstemmed Modeling cross‐talk of RNA modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy
title_short Modeling cross‐talk of RNA modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy
title_sort modeling cross‐talk of rna modification enzymes reveals tumor microenvironment‐associated clinical significance and immunotherapy prediction in hepatobiliary malignancy
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113697/
https://www.ncbi.nlm.nih.gov/pubmed/37090117
http://dx.doi.org/10.1002/mco2.256
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