Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer

Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and ident...
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Autor*in:	Jiani Sun [verfasserIn] Li Li [verfasserIn] Hong Chen [verfasserIn] Lei Gan [verfasserIn] Xiaoqing Guo [verfasserIn] Jing Sun [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	N7-methylguanosine long noncoding RNAs endometrial carcinoma prognostic model immune function

Übergeordnetes Werk:	In: Genes - MDPI AG, 2010, 13(2022), 8, p 1301
Übergeordnetes Werk:	volume:13 ; year:2022 ; number:8, p 1301

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/genes13081301

Katalog-ID:	DOAJ079267068

Internformat


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520			\|a Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients.
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allfields	10.3390/genes13081301 doi (DE-627)DOAJ079267068 (DE-599)DOAJ973a9e9e927c47c0aafadbd7806e3163 DE-627 ger DE-627 rakwb eng QH426-470 Jiani Sun verfasserin aut Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients. N7-methylguanosine long noncoding RNAs endometrial carcinoma prognostic model immune function Genetics Li Li verfasserin aut Hong Chen verfasserin aut Lei Gan verfasserin aut Xiaoqing Guo verfasserin aut Jing Sun verfasserin aut In Genes MDPI AG, 2010 13(2022), 8, p 1301 (DE-627)614096537 (DE-600)2527218-4 20734425 nnns volume:13 year:2022 number:8, p 1301 https://doi.org/10.3390/genes13081301 kostenfrei https://doaj.org/article/973a9e9e927c47c0aafadbd7806e3163 kostenfrei https://www.mdpi.com/2073-4425/13/8/1301 kostenfrei https://doaj.org/toc/2073-4425 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 8, p 1301
spelling	10.3390/genes13081301 doi (DE-627)DOAJ079267068 (DE-599)DOAJ973a9e9e927c47c0aafadbd7806e3163 DE-627 ger DE-627 rakwb eng QH426-470 Jiani Sun verfasserin aut Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients. N7-methylguanosine long noncoding RNAs endometrial carcinoma prognostic model immune function Genetics Li Li verfasserin aut Hong Chen verfasserin aut Lei Gan verfasserin aut Xiaoqing Guo verfasserin aut Jing Sun verfasserin aut In Genes MDPI AG, 2010 13(2022), 8, p 1301 (DE-627)614096537 (DE-600)2527218-4 20734425 nnns volume:13 year:2022 number:8, p 1301 https://doi.org/10.3390/genes13081301 kostenfrei https://doaj.org/article/973a9e9e927c47c0aafadbd7806e3163 kostenfrei https://www.mdpi.com/2073-4425/13/8/1301 kostenfrei https://doaj.org/toc/2073-4425 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 8, p 1301
allfields_unstemmed	10.3390/genes13081301 doi (DE-627)DOAJ079267068 (DE-599)DOAJ973a9e9e927c47c0aafadbd7806e3163 DE-627 ger DE-627 rakwb eng QH426-470 Jiani Sun verfasserin aut Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients. N7-methylguanosine long noncoding RNAs endometrial carcinoma prognostic model immune function Genetics Li Li verfasserin aut Hong Chen verfasserin aut Lei Gan verfasserin aut Xiaoqing Guo verfasserin aut Jing Sun verfasserin aut In Genes MDPI AG, 2010 13(2022), 8, p 1301 (DE-627)614096537 (DE-600)2527218-4 20734425 nnns volume:13 year:2022 number:8, p 1301 https://doi.org/10.3390/genes13081301 kostenfrei https://doaj.org/article/973a9e9e927c47c0aafadbd7806e3163 kostenfrei https://www.mdpi.com/2073-4425/13/8/1301 kostenfrei https://doaj.org/toc/2073-4425 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 8, p 1301
allfieldsGer	10.3390/genes13081301 doi (DE-627)DOAJ079267068 (DE-599)DOAJ973a9e9e927c47c0aafadbd7806e3163 DE-627 ger DE-627 rakwb eng QH426-470 Jiani Sun verfasserin aut Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients. N7-methylguanosine long noncoding RNAs endometrial carcinoma prognostic model immune function Genetics Li Li verfasserin aut Hong Chen verfasserin aut Lei Gan verfasserin aut Xiaoqing Guo verfasserin aut Jing Sun verfasserin aut In Genes MDPI AG, 2010 13(2022), 8, p 1301 (DE-627)614096537 (DE-600)2527218-4 20734425 nnns volume:13 year:2022 number:8, p 1301 https://doi.org/10.3390/genes13081301 kostenfrei https://doaj.org/article/973a9e9e927c47c0aafadbd7806e3163 kostenfrei https://www.mdpi.com/2073-4425/13/8/1301 kostenfrei https://doaj.org/toc/2073-4425 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 8, p 1301
allfieldsSound	10.3390/genes13081301 doi (DE-627)DOAJ079267068 (DE-599)DOAJ973a9e9e927c47c0aafadbd7806e3163 DE-627 ger DE-627 rakwb eng QH426-470 Jiani Sun verfasserin aut Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients. N7-methylguanosine long noncoding RNAs endometrial carcinoma prognostic model immune function Genetics Li Li verfasserin aut Hong Chen verfasserin aut Lei Gan verfasserin aut Xiaoqing Guo verfasserin aut Jing Sun verfasserin aut In Genes MDPI AG, 2010 13(2022), 8, p 1301 (DE-627)614096537 (DE-600)2527218-4 20734425 nnns volume:13 year:2022 number:8, p 1301 https://doi.org/10.3390/genes13081301 kostenfrei https://doaj.org/article/973a9e9e927c47c0aafadbd7806e3163 kostenfrei https://www.mdpi.com/2073-4425/13/8/1301 kostenfrei https://doaj.org/toc/2073-4425 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 8, p 1301
language	English
source	In Genes 13(2022), 8, p 1301 volume:13 year:2022 number:8, p 1301
sourceStr	In Genes 13(2022), 8, p 1301 volume:13 year:2022 number:8, p 1301
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	N7-methylguanosine long noncoding RNAs endometrial carcinoma prognostic model immune function Genetics
isfreeaccess_bool	true
container_title	Genes
authorswithroles_txt_mv	Jiani Sun @@aut@@ Li Li @@aut@@ Hong Chen @@aut@@ Lei Gan @@aut@@ Xiaoqing Guo @@aut@@ Jing Sun @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
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The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. 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callnumber-first	Q - Science
author	Jiani Sun
spellingShingle	Jiani Sun misc QH426-470 misc N7-methylguanosine misc long noncoding RNAs misc endometrial carcinoma misc prognostic model misc immune function misc Genetics Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer
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topic_title	QH426-470 Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer N7-methylguanosine long noncoding RNAs endometrial carcinoma prognostic model immune function
topic	misc QH426-470 misc N7-methylguanosine misc long noncoding RNAs misc endometrial carcinoma misc prognostic model misc immune function misc Genetics
topic_unstemmed	misc QH426-470 misc N7-methylguanosine misc long noncoding RNAs misc endometrial carcinoma misc prognostic model misc immune function misc Genetics
topic_browse	misc QH426-470 misc N7-methylguanosine misc long noncoding RNAs misc endometrial carcinoma misc prognostic model misc immune function misc Genetics
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title	Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer
ctrlnum	(DE-627)DOAJ079267068 (DE-599)DOAJ973a9e9e927c47c0aafadbd7806e3163
title_full	Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer
author_sort	Jiani Sun
journal	Genes
journalStr	Genes
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lang_code	eng
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author_browse	Jiani Sun Li Li Hong Chen Lei Gan Xiaoqing Guo Jing Sun
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author-letter	Jiani Sun
doi_str_mv	10.3390/genes13081301
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title_sort	identification and validation of an m7g-related lncrnas signature for prognostic prediction and immune function analysis in endometrial cancer
callnumber	QH426-470
title_auth	Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer
abstract	Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients.
abstractGer	Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients.
abstract_unstemmed	Background: N7-methylguanosine is a novel kind of internal modification that is widespread in human mRNA. The relationship between m7G-related lncRNAs (MRL) and endometrial cancer remains unknown. The aim of our study is to explore a predictive prognosis MRL signature in endometrial cancer and identify the underlying biological mechanism. Methods: We obtained RNA-seq profiles, clinical data, and information on somatic mutations from the TCGA database and obtained m7G-related genes from a previous study. MRLs were identified through a co-expression network. The prognostic model was constructed based on 10 m7G-related lncRNAs. Differentially expressed genes between low- and high-risk groups were identified for further analysis, consisting of functional enrichment analysis, immune function analysis, somatic mutation analysis, and potential drugs exploration. Results: We constructed a 10-MRLs signature. According to the risk score, the signature was classified into high- and low-risk groups. The signature had a reliable capacity for predicting the prognosis of endometrial cancer patients. The findings about differentially expressed genes were also of great significance for therapeutic treatments for endometrial cancer and gave novel insights into exploring the underlying molecular mechanism. Conclusion: The prognostic model based on 10 MRLs is a reliable and promising approach for predicting clinical outcomes and suggesting therapeutic methods for endometrial cancer patients.
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title_short	Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer
url	https://doi.org/10.3390/genes13081301 https://doaj.org/article/973a9e9e927c47c0aafadbd7806e3163 https://www.mdpi.com/2073-4425/13/8/1301 https://doaj.org/toc/2073-4425
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up_date	2024-07-03T22:35:56.273Z
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Identification and Validation of an m7G-Related lncRNAs Signature for Prognostic Prediction and Immune Function Analysis in Endometrial Cancer

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