Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma

Pancreatic cancer is one of the tumors with a poor prognosis. Therefore, it is significant and urgent to explore effective biomarkers for risk stratification and prognosis prediction to promote individualized treatment and prolong the survival of patients with PAAD. In this study, we identified Wnt/...
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Autor*in:	Hao Lyu [verfasserIn] Jiahui Zhang [verfasserIn] Qian Wei [verfasserIn] Yuan Huang [verfasserIn] Rui Zhang [verfasserIn] Shuai Xiao [verfasserIn] Dong Guo [verfasserIn] Xing-Zhen Chen [verfasserIn] Cefan Zhou [verfasserIn] Jingfeng Tang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	long non-coding RNA autophagy Wnt/β-catenin prognosis pancreatic adenocarcinoma

Übergeordnetes Werk:	In: Biology - MDPI AG, 2012, 12(2023), 2, p 319
Übergeordnetes Werk:	volume:12 ; year:2023 ; number:2, p 319

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/biology12020319

Katalog-ID:	DOAJ08100611X

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520			\|a Pancreatic cancer is one of the tumors with a poor prognosis. Therefore, it is significant and urgent to explore effective biomarkers for risk stratification and prognosis prediction to promote individualized treatment and prolong the survival of patients with PAAD. In this study, we identified Wnt/β-catenin- and autophagy-related long non-coding RNAs (lncRNAs) and demonstrated their role in predicting immune efficacy for PAAD patients. The univariate and multivariate Cox proportional hazards analyses were used to construct a prognostic risk model based on six autophagy- and Wnt/β-catenin-related lncRNAs (warlncRNAs): LINC01347, CASC8, C8orf31, LINC00612, UCA1, and GUSBP11. The high-risk patients were significantly associated with poor overall survival (OS). The receiver operating characteristic (ROC) curve analysis was used to assess the predictive accuracy of the prognostic risk model. The prediction efficiency was supported by the results of an independent validation cohort. Subsequently, a prognostic nomogram combining warlncRNAs with clinical indicators was constructed and showed a good predictive efficiency for survival risk stratification. Furthermore, functional enrichment analysis demonstrated that the signature according to warlncRNAs is closely linked to malignancy-associated immunoregulatory pathways. Correlation analysis uncovered that warlncRNAs’ signature was considerably associated with immunocyte infiltration, immune efficacy, tumor microenvironment score, and drug resistance.
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allfieldsSound	10.3390/biology12020319 doi (DE-627)DOAJ08100611X (DE-599)DOAJ65ef7f6b9df849ecaeae0e0ae301e2cc DE-627 ger DE-627 rakwb eng QH301-705.5 Hao Lyu verfasserin aut Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pancreatic cancer is one of the tumors with a poor prognosis. Therefore, it is significant and urgent to explore effective biomarkers for risk stratification and prognosis prediction to promote individualized treatment and prolong the survival of patients with PAAD. In this study, we identified Wnt/β-catenin- and autophagy-related long non-coding RNAs (lncRNAs) and demonstrated their role in predicting immune efficacy for PAAD patients. The univariate and multivariate Cox proportional hazards analyses were used to construct a prognostic risk model based on six autophagy- and Wnt/β-catenin-related lncRNAs (warlncRNAs): LINC01347, CASC8, C8orf31, LINC00612, UCA1, and GUSBP11. The high-risk patients were significantly associated with poor overall survival (OS). The receiver operating characteristic (ROC) curve analysis was used to assess the predictive accuracy of the prognostic risk model. The prediction efficiency was supported by the results of an independent validation cohort. Subsequently, a prognostic nomogram combining warlncRNAs with clinical indicators was constructed and showed a good predictive efficiency for survival risk stratification. Furthermore, functional enrichment analysis demonstrated that the signature according to warlncRNAs is closely linked to malignancy-associated immunoregulatory pathways. Correlation analysis uncovered that warlncRNAs’ signature was considerably associated with immunocyte infiltration, immune efficacy, tumor microenvironment score, and drug resistance. long non-coding RNA autophagy Wnt/β-catenin prognosis pancreatic adenocarcinoma Biology (General) Jiahui Zhang verfasserin aut Qian Wei verfasserin aut Yuan Huang verfasserin aut Rui Zhang verfasserin aut Shuai Xiao verfasserin aut Dong Guo verfasserin aut Xing-Zhen Chen verfasserin aut Cefan Zhou verfasserin aut Jingfeng Tang verfasserin aut In Biology MDPI AG, 2012 12(2023), 2, p 319 (DE-627)718622073 (DE-600)2661517-4 20797737 nnns volume:12 year:2023 number:2, p 319 https://doi.org/10.3390/biology12020319 kostenfrei https://doaj.org/article/65ef7f6b9df849ecaeae0e0ae301e2cc kostenfrei https://www.mdpi.com/2079-7737/12/2/319 kostenfrei https://doaj.org/toc/2079-7737 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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 12 2023 2, p 319
language	English
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authorswithroles_txt_mv	Hao Lyu @@aut@@ Jiahui Zhang @@aut@@ Qian Wei @@aut@@ Yuan Huang @@aut@@ Rui Zhang @@aut@@ Shuai Xiao @@aut@@ Dong Guo @@aut@@ Xing-Zhen Chen @@aut@@ Cefan Zhou @@aut@@ Jingfeng Tang @@aut@@
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callnumber-first	Q - Science
author	Hao Lyu
spellingShingle	Hao Lyu misc QH301-705.5 misc long non-coding RNA misc autophagy misc Wnt/β-catenin misc prognosis misc pancreatic adenocarcinoma misc Biology (General) Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma
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topic_title	QH301-705.5 Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma long non-coding RNA autophagy Wnt/β-catenin prognosis pancreatic adenocarcinoma
topic	misc QH301-705.5 misc long non-coding RNA misc autophagy misc Wnt/β-catenin misc prognosis misc pancreatic adenocarcinoma misc Biology (General)
topic_unstemmed	misc QH301-705.5 misc long non-coding RNA misc autophagy misc Wnt/β-catenin misc prognosis misc pancreatic adenocarcinoma misc Biology (General)
topic_browse	misc QH301-705.5 misc long non-coding RNA misc autophagy misc Wnt/β-catenin misc prognosis misc pancreatic adenocarcinoma misc Biology (General)
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title	Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma
ctrlnum	(DE-627)DOAJ08100611X (DE-599)DOAJ65ef7f6b9df849ecaeae0e0ae301e2cc
title_full	Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma
author_sort	Hao Lyu
journal	Biology
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author_browse	Hao Lyu Jiahui Zhang Qian Wei Yuan Huang Rui Zhang Shuai Xiao Dong Guo Xing-Zhen Chen Cefan Zhou Jingfeng Tang
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author-letter	Hao Lyu
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title_sort	identification of wnt/β-catenin- and autophagy-related lncrna signature for predicting immune efficacy in pancreatic adenocarcinoma
callnumber	QH301-705.5
title_auth	Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma
abstract	Pancreatic cancer is one of the tumors with a poor prognosis. Therefore, it is significant and urgent to explore effective biomarkers for risk stratification and prognosis prediction to promote individualized treatment and prolong the survival of patients with PAAD. In this study, we identified Wnt/β-catenin- and autophagy-related long non-coding RNAs (lncRNAs) and demonstrated their role in predicting immune efficacy for PAAD patients. The univariate and multivariate Cox proportional hazards analyses were used to construct a prognostic risk model based on six autophagy- and Wnt/β-catenin-related lncRNAs (warlncRNAs): LINC01347, CASC8, C8orf31, LINC00612, UCA1, and GUSBP11. The high-risk patients were significantly associated with poor overall survival (OS). The receiver operating characteristic (ROC) curve analysis was used to assess the predictive accuracy of the prognostic risk model. The prediction efficiency was supported by the results of an independent validation cohort. Subsequently, a prognostic nomogram combining warlncRNAs with clinical indicators was constructed and showed a good predictive efficiency for survival risk stratification. Furthermore, functional enrichment analysis demonstrated that the signature according to warlncRNAs is closely linked to malignancy-associated immunoregulatory pathways. Correlation analysis uncovered that warlncRNAs’ signature was considerably associated with immunocyte infiltration, immune efficacy, tumor microenvironment score, and drug resistance.
abstractGer	Pancreatic cancer is one of the tumors with a poor prognosis. Therefore, it is significant and urgent to explore effective biomarkers for risk stratification and prognosis prediction to promote individualized treatment and prolong the survival of patients with PAAD. In this study, we identified Wnt/β-catenin- and autophagy-related long non-coding RNAs (lncRNAs) and demonstrated their role in predicting immune efficacy for PAAD patients. The univariate and multivariate Cox proportional hazards analyses were used to construct a prognostic risk model based on six autophagy- and Wnt/β-catenin-related lncRNAs (warlncRNAs): LINC01347, CASC8, C8orf31, LINC00612, UCA1, and GUSBP11. The high-risk patients were significantly associated with poor overall survival (OS). The receiver operating characteristic (ROC) curve analysis was used to assess the predictive accuracy of the prognostic risk model. The prediction efficiency was supported by the results of an independent validation cohort. Subsequently, a prognostic nomogram combining warlncRNAs with clinical indicators was constructed and showed a good predictive efficiency for survival risk stratification. Furthermore, functional enrichment analysis demonstrated that the signature according to warlncRNAs is closely linked to malignancy-associated immunoregulatory pathways. Correlation analysis uncovered that warlncRNAs’ signature was considerably associated with immunocyte infiltration, immune efficacy, tumor microenvironment score, and drug resistance.
abstract_unstemmed	Pancreatic cancer is one of the tumors with a poor prognosis. Therefore, it is significant and urgent to explore effective biomarkers for risk stratification and prognosis prediction to promote individualized treatment and prolong the survival of patients with PAAD. In this study, we identified Wnt/β-catenin- and autophagy-related long non-coding RNAs (lncRNAs) and demonstrated their role in predicting immune efficacy for PAAD patients. The univariate and multivariate Cox proportional hazards analyses were used to construct a prognostic risk model based on six autophagy- and Wnt/β-catenin-related lncRNAs (warlncRNAs): LINC01347, CASC8, C8orf31, LINC00612, UCA1, and GUSBP11. The high-risk patients were significantly associated with poor overall survival (OS). The receiver operating characteristic (ROC) curve analysis was used to assess the predictive accuracy of the prognostic risk model. The prediction efficiency was supported by the results of an independent validation cohort. Subsequently, a prognostic nomogram combining warlncRNAs with clinical indicators was constructed and showed a good predictive efficiency for survival risk stratification. Furthermore, functional enrichment analysis demonstrated that the signature according to warlncRNAs is closely linked to malignancy-associated immunoregulatory pathways. Correlation analysis uncovered that warlncRNAs’ signature was considerably associated with immunocyte infiltration, immune efficacy, tumor microenvironment score, and drug resistance.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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
container_issue	2, p 319
title_short	Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma
url	https://doi.org/10.3390/biology12020319 https://doaj.org/article/65ef7f6b9df849ecaeae0e0ae301e2cc https://www.mdpi.com/2079-7737/12/2/319 https://doaj.org/toc/2079-7737
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author2	Jiahui Zhang Qian Wei Yuan Huang Rui Zhang Shuai Xiao Dong Guo Xing-Zhen Chen Cefan Zhou Jingfeng Tang
author2Str	Jiahui Zhang Qian Wei Yuan Huang Rui Zhang Shuai Xiao Dong Guo Xing-Zhen Chen Cefan Zhou Jingfeng Tang
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up_date	2024-07-03T17:46:33.902Z
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Identification of Wnt/β-Catenin- and Autophagy-Related lncRNA Signature for Predicting Immune Efficacy in Pancreatic Adenocarcinoma

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