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Single-cell mapping of N6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration

BACKGROUND: N6-methyladenosine (m6A) modification is the most common RNA modification, but its potential role in the development of esophageal cancer and its specific mechanisms still need to be further investigated. METHODS: Bulk RNA-seq of 174 patients with esophageal squamous carcinoma from the T...

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Autores principales: Nie, Yuanliu, Yao, Guangyue, Xu, Xiaoying, Liu, Yi, Yin, Ke, Lai, Jingjiang, Li, Qiang, Zhou, Fengge, Yang, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070687/
https://www.ncbi.nlm.nih.gov/pubmed/37025404
http://dx.doi.org/10.3389/fendo.2023.1155009
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author Nie, Yuanliu
Yao, Guangyue
Xu, Xiaoying
Liu, Yi
Yin, Ke
Lai, Jingjiang
Li, Qiang
Zhou, Fengge
Yang, Zhe
author_facet Nie, Yuanliu
Yao, Guangyue
Xu, Xiaoying
Liu, Yi
Yin, Ke
Lai, Jingjiang
Li, Qiang
Zhou, Fengge
Yang, Zhe
author_sort Nie, Yuanliu
collection PubMed
description BACKGROUND: N6-methyladenosine (m6A) modification is the most common RNA modification, but its potential role in the development of esophageal cancer and its specific mechanisms still need to be further investigated. METHODS: Bulk RNA-seq of 174 patients with esophageal squamous carcinoma from the TCGA-ESCC cohort, GSE53625, and single-cell sequencing data from patients with esophageal squamous carcinoma from GSE188900 were included in this study. Single-cell analysis of scRNA-seq data from GSE188900 of 4 esophageal squamous carcinoma samples and calculation of PROGENy scores. Demonstrate the scoring of tumor-associated pathways for different cell populations. Cell Chat was calculated for cell populations. thereafter, m6A-related differential genes were sought and risk models were constructed to analyze the relevant biological functions and impact pathways of potential m6A genes and their impact on immune infiltration and tumor treatment sensitivity in ESCC was investigated. RESULTS: By umap downscaling analysis, ESCC single-cell data were labelled into clusters of seven immune cell classes. Cellchat analysis showed that the network interactions of four signaling pathways, MIF, AFF, FN1 and CD99, all showed different cell type interactions. The prognostic risk model constructed by screening for m6A-related differential genes was of significant value in the prognostic stratification of ESCC patients and had a significant impact on immune infiltration and chemotherapy sensitivity in ESCC patients. CONCLUSION: In our study, we explored a blueprint for the distribution of single cells in ESCC based on m6A methylation and constructed a risk model for immune infiltration analysis and tumor efficacy stratification in ESCC on this basis. This may provide important potential guidance for revealing the role of m6A in immune escape and treatment resistance in esophageal cancer.
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spelling pubmed-100706872023-04-05 Single-cell mapping of N6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration Nie, Yuanliu Yao, Guangyue Xu, Xiaoying Liu, Yi Yin, Ke Lai, Jingjiang Li, Qiang Zhou, Fengge Yang, Zhe Front Endocrinol (Lausanne) Endocrinology BACKGROUND: N6-methyladenosine (m6A) modification is the most common RNA modification, but its potential role in the development of esophageal cancer and its specific mechanisms still need to be further investigated. METHODS: Bulk RNA-seq of 174 patients with esophageal squamous carcinoma from the TCGA-ESCC cohort, GSE53625, and single-cell sequencing data from patients with esophageal squamous carcinoma from GSE188900 were included in this study. Single-cell analysis of scRNA-seq data from GSE188900 of 4 esophageal squamous carcinoma samples and calculation of PROGENy scores. Demonstrate the scoring of tumor-associated pathways for different cell populations. Cell Chat was calculated for cell populations. thereafter, m6A-related differential genes were sought and risk models were constructed to analyze the relevant biological functions and impact pathways of potential m6A genes and their impact on immune infiltration and tumor treatment sensitivity in ESCC was investigated. RESULTS: By umap downscaling analysis, ESCC single-cell data were labelled into clusters of seven immune cell classes. Cellchat analysis showed that the network interactions of four signaling pathways, MIF, AFF, FN1 and CD99, all showed different cell type interactions. The prognostic risk model constructed by screening for m6A-related differential genes was of significant value in the prognostic stratification of ESCC patients and had a significant impact on immune infiltration and chemotherapy sensitivity in ESCC patients. CONCLUSION: In our study, we explored a blueprint for the distribution of single cells in ESCC based on m6A methylation and constructed a risk model for immune infiltration analysis and tumor efficacy stratification in ESCC on this basis. This may provide important potential guidance for revealing the role of m6A in immune escape and treatment resistance in esophageal cancer. Frontiers Media S.A. 2023-03-21 /pmc/articles/PMC10070687/ /pubmed/37025404 http://dx.doi.org/10.3389/fendo.2023.1155009 Text en Copyright © 2023 Nie, Yao, Xu, Liu, Yin, Lai, Li, Zhou and Yang https://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 Endocrinology
Nie, Yuanliu
Yao, Guangyue
Xu, Xiaoying
Liu, Yi
Yin, Ke
Lai, Jingjiang
Li, Qiang
Zhou, Fengge
Yang, Zhe
Single-cell mapping of N6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration
title Single-cell mapping of N6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration
title_full Single-cell mapping of N6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration
title_fullStr Single-cell mapping of N6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration
title_full_unstemmed Single-cell mapping of N6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration
title_short Single-cell mapping of N6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration
title_sort single-cell mapping of n6-methyladenosine in esophageal squamous cell carcinoma and exploration of the risk model for immune infiltration
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070687/
https://www.ncbi.nlm.nih.gov/pubmed/37025404
http://dx.doi.org/10.3389/fendo.2023.1155009
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