Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients

Abstract Esophageal squamous cell carcinoma (ESCC) has a dismal prognosis because of atypical early symptoms and heterogeneous therapeutic responses. 5-methylcytosine (m5C) modification plays an important role in the onset and development of many tumors and is widespread in long non-coding RNA (lncR...

Full description

Bibliographic Details
Main Authors: Yuan Ma, Yuchen Sun, Xu Zhao, Jing Li, Xing Fu, Tuotuo Gong, Xiaozhi Zhang
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-41495-6
_version_ 1797452992331382784
author Yuan Ma
Yuchen Sun
Xu Zhao
Jing Li
Xing Fu
Tuotuo Gong
Xiaozhi Zhang
author_facet Yuan Ma
Yuchen Sun
Xu Zhao
Jing Li
Xing Fu
Tuotuo Gong
Xiaozhi Zhang
author_sort Yuan Ma
collection DOAJ
description Abstract Esophageal squamous cell carcinoma (ESCC) has a dismal prognosis because of atypical early symptoms and heterogeneous therapeutic responses. 5-methylcytosine (m5C) modification plays an important role in the onset and development of many tumors and is widespread in long non-coding RNA (lncRNA) transcripts. However, the functions of m5C and lncRNAs in ESCC have not been completely elucidated. Herein, this study aimed to explore the role of m5C-related lncRNAs in ESCC. The RNA-seq transcriptome profiles and clinical information were downloaded from the TCGA-ESCC database. Pearson analysis was used to identify m5C-related lncRNAs. Then we established the m5C-related lncRNAs prognostic signature (m5C-LPS) using univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analysis. Then, the prognostic value of m5C-LPS was evaluated internally and externally using the TCGA-ESCC and GSE53622 databases through multiple methods. We also detected the expression of these lncRNAs in ESCC cell lines and patient tissues. Fluorescence in situ hybridization (FISH) was used to detect the prognostic value of specific lncRNA. In addition, clinical parameters, immune status, genomic variants, oncogenic pathways, enrichment pathways, and therapeutic response features associated with m5C-LPS were explored using bioinformatics methods. We constructed and validated a prognostic signature based on 9 m5C-related lncRNAs (AC002091.2, AC009275.1, CAHM, LINC02057.1, AC0006329.1, AC037459.3, AC064807.1, ATP2B1-AS1, and UBAC2-AS1). The quantitative real-time polymerase chain reaction (qRT-PCR) revealed that most lncRNAs were upregulated in ESCC cell lines and patient tissues. And AC002091.2 was validated to have significant prognostic value in ESCC patients. A composite nomogram was generated to facilitate clinical practice by integrating this signature with the N stage. Besides, patients in the low-risk group were characterized by good clinical outcomes, favorable immune status, and low oncogenic alteration. Function enrichment analysis indicated that the risk score was associated with mRNA splicing, ncRNA processing, and DNA damage repair response. At the same time, we found significant differences in the responses to chemoradiotherapy between the two groups, proving the value of m5C-LPS in treatment decision-making in ESCC. This study established a novel prognostic signature based on 9 m5C-related lncRNAs, which is a promising biomarker for predicting clinical outcomes and therapeutic response in ESCC.
first_indexed 2024-03-09T15:16:25Z
format Article
id doaj.art-42b74a2bb3a247b4bfae188a7b4692d7
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-03-09T15:16:25Z
publishDate 2023-09-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-42b74a2bb3a247b4bfae188a7b4692d72023-11-26T13:03:51ZengNature PortfolioScientific Reports2045-23222023-09-0113111510.1038/s41598-023-41495-6Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patientsYuan Ma0Yuchen Sun1Xu Zhao2Jing Li3Xing Fu4Tuotuo Gong5Xiaozhi Zhang6Department of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong UniversityAbstract Esophageal squamous cell carcinoma (ESCC) has a dismal prognosis because of atypical early symptoms and heterogeneous therapeutic responses. 5-methylcytosine (m5C) modification plays an important role in the onset and development of many tumors and is widespread in long non-coding RNA (lncRNA) transcripts. However, the functions of m5C and lncRNAs in ESCC have not been completely elucidated. Herein, this study aimed to explore the role of m5C-related lncRNAs in ESCC. The RNA-seq transcriptome profiles and clinical information were downloaded from the TCGA-ESCC database. Pearson analysis was used to identify m5C-related lncRNAs. Then we established the m5C-related lncRNAs prognostic signature (m5C-LPS) using univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analysis. Then, the prognostic value of m5C-LPS was evaluated internally and externally using the TCGA-ESCC and GSE53622 databases through multiple methods. We also detected the expression of these lncRNAs in ESCC cell lines and patient tissues. Fluorescence in situ hybridization (FISH) was used to detect the prognostic value of specific lncRNA. In addition, clinical parameters, immune status, genomic variants, oncogenic pathways, enrichment pathways, and therapeutic response features associated with m5C-LPS were explored using bioinformatics methods. We constructed and validated a prognostic signature based on 9 m5C-related lncRNAs (AC002091.2, AC009275.1, CAHM, LINC02057.1, AC0006329.1, AC037459.3, AC064807.1, ATP2B1-AS1, and UBAC2-AS1). The quantitative real-time polymerase chain reaction (qRT-PCR) revealed that most lncRNAs were upregulated in ESCC cell lines and patient tissues. And AC002091.2 was validated to have significant prognostic value in ESCC patients. A composite nomogram was generated to facilitate clinical practice by integrating this signature with the N stage. Besides, patients in the low-risk group were characterized by good clinical outcomes, favorable immune status, and low oncogenic alteration. Function enrichment analysis indicated that the risk score was associated with mRNA splicing, ncRNA processing, and DNA damage repair response. At the same time, we found significant differences in the responses to chemoradiotherapy between the two groups, proving the value of m5C-LPS in treatment decision-making in ESCC. This study established a novel prognostic signature based on 9 m5C-related lncRNAs, which is a promising biomarker for predicting clinical outcomes and therapeutic response in ESCC.https://doi.org/10.1038/s41598-023-41495-6
spellingShingle Yuan Ma
Yuchen Sun
Xu Zhao
Jing Li
Xing Fu
Tuotuo Gong
Xiaozhi Zhang
Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients
Scientific Reports
title Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients
title_full Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients
title_fullStr Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients
title_full_unstemmed Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients
title_short Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients
title_sort identification of m5c related lncrnas signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients
url https://doi.org/10.1038/s41598-023-41495-6
work_keys_str_mv AT yuanma identificationofm5crelatedlncrnassignaturetopredictprognosisandtherapeuticresponsesinesophagealsquamouscellcarcinomapatients
AT yuchensun identificationofm5crelatedlncrnassignaturetopredictprognosisandtherapeuticresponsesinesophagealsquamouscellcarcinomapatients
AT xuzhao identificationofm5crelatedlncrnassignaturetopredictprognosisandtherapeuticresponsesinesophagealsquamouscellcarcinomapatients
AT jingli identificationofm5crelatedlncrnassignaturetopredictprognosisandtherapeuticresponsesinesophagealsquamouscellcarcinomapatients
AT xingfu identificationofm5crelatedlncrnassignaturetopredictprognosisandtherapeuticresponsesinesophagealsquamouscellcarcinomapatients
AT tuotuogong identificationofm5crelatedlncrnassignaturetopredictprognosisandtherapeuticresponsesinesophagealsquamouscellcarcinomapatients
AT xiaozhizhang identificationofm5crelatedlncrnassignaturetopredictprognosisandtherapeuticresponsesinesophagealsquamouscellcarcinomapatients