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Identification of m6A- and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma

BACKGROUND: N6-methyladenosine (m6A) methylation and ferroptosis assist long noncoding RNAs (lncRNAs) in promoting immune escape in hepatocellular carcinoma (HCC). However, the predictive value of m6A- and ferroptosis-related lncRNAs (mfrlncRNAs) in terms of immune efficacy remains unknown. METHOD:...

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Autores principales: Xie, Hongjun, Shi, Muqi, Liu, Yifei, Cheng, Changhong, Song, Lining, Ding, Zihan, Jin, Huanzhi, Cui, Xiaohong, Wang, Yan, Yao, Dengfu, Wang, Peng, Yao, Min, Zhang, Haijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402990/
https://www.ncbi.nlm.nih.gov/pubmed/36032107
http://dx.doi.org/10.3389/fimmu.2022.914977
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author Xie, Hongjun
Shi, Muqi
Liu, Yifei
Cheng, Changhong
Song, Lining
Ding, Zihan
Jin, Huanzhi
Cui, Xiaohong
Wang, Yan
Yao, Dengfu
Wang, Peng
Yao, Min
Zhang, Haijian
author_facet Xie, Hongjun
Shi, Muqi
Liu, Yifei
Cheng, Changhong
Song, Lining
Ding, Zihan
Jin, Huanzhi
Cui, Xiaohong
Wang, Yan
Yao, Dengfu
Wang, Peng
Yao, Min
Zhang, Haijian
author_sort Xie, Hongjun
collection PubMed
description BACKGROUND: N6-methyladenosine (m6A) methylation and ferroptosis assist long noncoding RNAs (lncRNAs) in promoting immune escape in hepatocellular carcinoma (HCC). However, the predictive value of m6A- and ferroptosis-related lncRNAs (mfrlncRNAs) in terms of immune efficacy remains unknown. METHOD: A total of 365 HCC patients with complete data from The Cancer Genome Atlas (TCGA) database were used as the training cohort, and half of them were randomly selected as the validation cohort. A total of 161 HCC patients from the International Cancer Genome Consortium (ICGC) database were used as external validation (ICGC cohort). RESULTS: We first identified a group of specific lncRNAs associated with both m6A regulators and ferroptosis-related genes and then constructed prognosis-related mfrlncRNA pairs. Based on this, the mfrlncRNA signature was constructed using the least absolute shrinkage and selection operator (LASSO) analysis and Cox regression. Notably, the risk score of patients was proven to be an independent prognostic factor and was better than the TNM stage and tumor grade. Moreover, patients with high-risk scores had lower survival rates, higher infiltration of immunosuppressive cells (macrophages and Tregs), lower infiltration of cytotoxic immune cells (natural killer cells), poorer immune efficacy (both immunophenoscore and score of tumor immune dysfunction and exclusion), higher IC(50), and enrichment of the induced Treg pathway, which confirmed that the mfrlncRNA signature contributed to survival prediction and risk stratification of patients with HCC. CONCLUSIONS: The mfrlncRNA signature, which has great prognostic value, provides new clues for identifying “cold” and “hot” tumors and might have crucial implications for individualized therapy to improve the survival rate of patients with HCC.
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spelling pubmed-94029902022-08-26 Identification of m6A- and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma Xie, Hongjun Shi, Muqi Liu, Yifei Cheng, Changhong Song, Lining Ding, Zihan Jin, Huanzhi Cui, Xiaohong Wang, Yan Yao, Dengfu Wang, Peng Yao, Min Zhang, Haijian Front Immunol Immunology BACKGROUND: N6-methyladenosine (m6A) methylation and ferroptosis assist long noncoding RNAs (lncRNAs) in promoting immune escape in hepatocellular carcinoma (HCC). However, the predictive value of m6A- and ferroptosis-related lncRNAs (mfrlncRNAs) in terms of immune efficacy remains unknown. METHOD: A total of 365 HCC patients with complete data from The Cancer Genome Atlas (TCGA) database were used as the training cohort, and half of them were randomly selected as the validation cohort. A total of 161 HCC patients from the International Cancer Genome Consortium (ICGC) database were used as external validation (ICGC cohort). RESULTS: We first identified a group of specific lncRNAs associated with both m6A regulators and ferroptosis-related genes and then constructed prognosis-related mfrlncRNA pairs. Based on this, the mfrlncRNA signature was constructed using the least absolute shrinkage and selection operator (LASSO) analysis and Cox regression. Notably, the risk score of patients was proven to be an independent prognostic factor and was better than the TNM stage and tumor grade. Moreover, patients with high-risk scores had lower survival rates, higher infiltration of immunosuppressive cells (macrophages and Tregs), lower infiltration of cytotoxic immune cells (natural killer cells), poorer immune efficacy (both immunophenoscore and score of tumor immune dysfunction and exclusion), higher IC(50), and enrichment of the induced Treg pathway, which confirmed that the mfrlncRNA signature contributed to survival prediction and risk stratification of patients with HCC. CONCLUSIONS: The mfrlncRNA signature, which has great prognostic value, provides new clues for identifying “cold” and “hot” tumors and might have crucial implications for individualized therapy to improve the survival rate of patients with HCC. Frontiers Media S.A. 2022-08-11 /pmc/articles/PMC9402990/ /pubmed/36032107 http://dx.doi.org/10.3389/fimmu.2022.914977 Text en Copyright © 2022 Xie, Shi, Liu, Cheng, Song, Ding, Jin, Cui, Wang, Yao, Wang, Yao and Zhang 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 jauthor(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 Immunology
Xie, Hongjun
Shi, Muqi
Liu, Yifei
Cheng, Changhong
Song, Lining
Ding, Zihan
Jin, Huanzhi
Cui, Xiaohong
Wang, Yan
Yao, Dengfu
Wang, Peng
Yao, Min
Zhang, Haijian
Identification of m6A- and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma
title Identification of m6A- and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma
title_full Identification of m6A- and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma
title_fullStr Identification of m6A- and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma
title_full_unstemmed Identification of m6A- and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma
title_short Identification of m6A- and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma
title_sort identification of m6a- and ferroptosis-related lncrna signature for predicting immune efficacy in hepatocellular carcinoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402990/
https://www.ncbi.nlm.nih.gov/pubmed/36032107
http://dx.doi.org/10.3389/fimmu.2022.914977
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