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Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients

In terms of mortality and survival, pancreatic cancer is one of the worst malignancies. Known as a unique type of programmed cell death, cuprotosis contributes to tumor cell growth, angiogenesis, and metastasis. Cuprotosis programmed-cell-death-related lncRNAs (CRLs) have been linked to PAAD, althou...

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Autores principales: Chi, Hao, Peng, Gaoge, Wang, Rui, Yang, Fengyi, Xie, Xixi, Zhang, Jinhao, Xu, Ke, Gu, Tao, Yang, Xiaoli, Tian, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658590/
https://www.ncbi.nlm.nih.gov/pubmed/36359832
http://dx.doi.org/10.3390/cells11213436
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author Chi, Hao
Peng, Gaoge
Wang, Rui
Yang, Fengyi
Xie, Xixi
Zhang, Jinhao
Xu, Ke
Gu, Tao
Yang, Xiaoli
Tian, Gang
author_facet Chi, Hao
Peng, Gaoge
Wang, Rui
Yang, Fengyi
Xie, Xixi
Zhang, Jinhao
Xu, Ke
Gu, Tao
Yang, Xiaoli
Tian, Gang
author_sort Chi, Hao
collection PubMed
description In terms of mortality and survival, pancreatic cancer is one of the worst malignancies. Known as a unique type of programmed cell death, cuprotosis contributes to tumor cell growth, angiogenesis, and metastasis. Cuprotosis programmed-cell-death-related lncRNAs (CRLs) have been linked to PAAD, although their functions in the tumor microenvironment and prognosis are not well understood. This study included data from the TCGA-PAAD cohort. Random sampling of PAAD data was conducted, splitting the data into two groups for use as a training set and test set (7:3). We searched for differentially expressed genes that were substantially linked to prognosis using univariate Cox and Lasso regression analysis. Through the use of multivariate Cox proportional risk regression, a risk-rating system for prognosis was developed. Correlations between the CRL signature and clinicopathological characteristics, tumor microenvironment, immunotherapy response, and chemotherapy sensitivity were further evaluated. Lastly, qRT-PCR was used to compare CRL expression in healthy tissues to that in tumors. Some CRLs are thought to have strong correlations with PAAD outcomes. These CRLs include AC005332.6, LINC02041, LINC00857, and AL117382.1. The CRL-based signature construction exhibited outstanding predictive performance and offers a fresh approach to evaluating pre-immune effectiveness, paving the way for future studies in precision immuno-oncology.
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spelling pubmed-96585902022-11-15 Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients Chi, Hao Peng, Gaoge Wang, Rui Yang, Fengyi Xie, Xixi Zhang, Jinhao Xu, Ke Gu, Tao Yang, Xiaoli Tian, Gang Cells Article In terms of mortality and survival, pancreatic cancer is one of the worst malignancies. Known as a unique type of programmed cell death, cuprotosis contributes to tumor cell growth, angiogenesis, and metastasis. Cuprotosis programmed-cell-death-related lncRNAs (CRLs) have been linked to PAAD, although their functions in the tumor microenvironment and prognosis are not well understood. This study included data from the TCGA-PAAD cohort. Random sampling of PAAD data was conducted, splitting the data into two groups for use as a training set and test set (7:3). We searched for differentially expressed genes that were substantially linked to prognosis using univariate Cox and Lasso regression analysis. Through the use of multivariate Cox proportional risk regression, a risk-rating system for prognosis was developed. Correlations between the CRL signature and clinicopathological characteristics, tumor microenvironment, immunotherapy response, and chemotherapy sensitivity were further evaluated. Lastly, qRT-PCR was used to compare CRL expression in healthy tissues to that in tumors. Some CRLs are thought to have strong correlations with PAAD outcomes. These CRLs include AC005332.6, LINC02041, LINC00857, and AL117382.1. The CRL-based signature construction exhibited outstanding predictive performance and offers a fresh approach to evaluating pre-immune effectiveness, paving the way for future studies in precision immuno-oncology. MDPI 2022-10-31 /pmc/articles/PMC9658590/ /pubmed/36359832 http://dx.doi.org/10.3390/cells11213436 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chi, Hao
Peng, Gaoge
Wang, Rui
Yang, Fengyi
Xie, Xixi
Zhang, Jinhao
Xu, Ke
Gu, Tao
Yang, Xiaoli
Tian, Gang
Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients
title Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients
title_full Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients
title_fullStr Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients
title_full_unstemmed Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients
title_short Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients
title_sort cuprotosis programmed-cell-death-related lncrna signature predicts prognosis and immune landscape in paad patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658590/
https://www.ncbi.nlm.nih.gov/pubmed/36359832
http://dx.doi.org/10.3390/cells11213436
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