Prognostic Signature of Hepatocellular Carcinoma and Analysis of Immune Infiltration Based on m6A-Related lncRNAs

The relationship between m6A-related lncRNAs and prognosis in hepatocellular carcinoma (HCC) is not yet clear. We used Lasso regression to establish a prognostic signature based on m6A-related lncRNAs using a training set from TCGA, and then verified the signature efficacy in a test set. Fluorescenc...

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Main Authors: Ting Guo, Kun He, Yifei Wang, Jingjing Sun, Yong Chen, Zelong Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.691372/full
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author Ting Guo
Kun He
Yifei Wang
Jingjing Sun
Yong Chen
Zelong Yang
author_facet Ting Guo
Kun He
Yifei Wang
Jingjing Sun
Yong Chen
Zelong Yang
author_sort Ting Guo
collection DOAJ
description The relationship between m6A-related lncRNAs and prognosis in hepatocellular carcinoma (HCC) is not yet clear. We used Lasso regression to establish a prognostic signature based on m6A-related lncRNAs using a training set from TCGA, and then verified the signature efficacy in a test set. Fluorescence quantitative real-time PCR (qPCR), Survival analysis, clinical risk difference analysis, immune-related analysis, and drug-sensitivity analysis were conducted. The results revealed that 1,651 lncRNAs were differentially expressed in HCC tissues, among which, 163 were m6A-related. Univariate analysis showed that 87 lncRNAs were associated with the overall survival. Six differential m6A-related lncRNAs were validated and selected via Lasso regression to construct a prognostic signature which demonstrated a satisfactory predictive efficacy. In the clinically relevant pathologic stage, histologic grade, and T stage, the risk scores obtained based on this signature showed a statistically significant difference. The high- and low-risk groups exhibited a difference in the tumor immune infiltrating cells, immune checkpoint gene expression, and sensitivity to chemotherapy. In summary, the prognostic signature based on the m6A-related lncRNAs can effectively predict the prognosis of patients and might provide a new vista for the chemotherapy and immunotherapy of HCC.
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spelling doaj.art-5f5eaa35b1794dff814892ac2fa7274b2022-12-21T18:52:58ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-08-011110.3389/fonc.2021.691372691372Prognostic Signature of Hepatocellular Carcinoma and Analysis of Immune Infiltration Based on m6A-Related lncRNAsTing Guo0Kun He1Yifei Wang2Jingjing Sun3Yong Chen4Zelong Yang5Department of Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, ChinaDepartment of Hepatobiliary Surgery, Xi Jing Hospital, Fourth Military Medical University, Xi’an, ChinaDepartment of Hepatobiliary Surgery, Xi Jing Hospital, Fourth Military Medical University, Xi’an, ChinaDepartment of Hepatobiliary Surgery, Xi Jing Hospital, Fourth Military Medical University, Xi’an, ChinaDepartment of Hepatobiliary Surgery, Xi Jing Hospital, Fourth Military Medical University, Xi’an, ChinaDepartment of Hepatobiliary Surgery, Xi Jing Hospital, Fourth Military Medical University, Xi’an, ChinaThe relationship between m6A-related lncRNAs and prognosis in hepatocellular carcinoma (HCC) is not yet clear. We used Lasso regression to establish a prognostic signature based on m6A-related lncRNAs using a training set from TCGA, and then verified the signature efficacy in a test set. Fluorescence quantitative real-time PCR (qPCR), Survival analysis, clinical risk difference analysis, immune-related analysis, and drug-sensitivity analysis were conducted. The results revealed that 1,651 lncRNAs were differentially expressed in HCC tissues, among which, 163 were m6A-related. Univariate analysis showed that 87 lncRNAs were associated with the overall survival. Six differential m6A-related lncRNAs were validated and selected via Lasso regression to construct a prognostic signature which demonstrated a satisfactory predictive efficacy. In the clinically relevant pathologic stage, histologic grade, and T stage, the risk scores obtained based on this signature showed a statistically significant difference. The high- and low-risk groups exhibited a difference in the tumor immune infiltrating cells, immune checkpoint gene expression, and sensitivity to chemotherapy. In summary, the prognostic signature based on the m6A-related lncRNAs can effectively predict the prognosis of patients and might provide a new vista for the chemotherapy and immunotherapy of HCC.https://www.frontiersin.org/articles/10.3389/fonc.2021.691372/fullhepatocellular carcinomalong noncoding RNAprognostic signatureimmunotherapym6A
spellingShingle Ting Guo
Kun He
Yifei Wang
Jingjing Sun
Yong Chen
Zelong Yang
Prognostic Signature of Hepatocellular Carcinoma and Analysis of Immune Infiltration Based on m6A-Related lncRNAs
Frontiers in Oncology
hepatocellular carcinoma
long noncoding RNA
prognostic signature
immunotherapy
m6A
title Prognostic Signature of Hepatocellular Carcinoma and Analysis of Immune Infiltration Based on m6A-Related lncRNAs
title_full Prognostic Signature of Hepatocellular Carcinoma and Analysis of Immune Infiltration Based on m6A-Related lncRNAs
title_fullStr Prognostic Signature of Hepatocellular Carcinoma and Analysis of Immune Infiltration Based on m6A-Related lncRNAs
title_full_unstemmed Prognostic Signature of Hepatocellular Carcinoma and Analysis of Immune Infiltration Based on m6A-Related lncRNAs
title_short Prognostic Signature of Hepatocellular Carcinoma and Analysis of Immune Infiltration Based on m6A-Related lncRNAs
title_sort prognostic signature of hepatocellular carcinoma and analysis of immune infiltration based on m6a related lncrnas
topic hepatocellular carcinoma
long noncoding RNA
prognostic signature
immunotherapy
m6A
url https://www.frontiersin.org/articles/10.3389/fonc.2021.691372/full
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