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Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer

BACKGROUND: Cuproptosis (copper death) is a recently found cell death type produced by copper iron; nonetheless, the properties of cuproptosis molecular subtypes and possible involvement of cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) in ovarian cancer (OC) remain unknown. ME...

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Autores principales: Zhang, Jingjing, Lu, Miao, Xu, Haoya, Ren, Fang, Zhu, Liancheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617300/
https://www.ncbi.nlm.nih.gov/pubmed/36307842
http://dx.doi.org/10.1186/s12935-022-02756-y
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author Zhang, Jingjing
Lu, Miao
Xu, Haoya
Ren, Fang
Zhu, Liancheng
author_facet Zhang, Jingjing
Lu, Miao
Xu, Haoya
Ren, Fang
Zhu, Liancheng
author_sort Zhang, Jingjing
collection PubMed
description BACKGROUND: Cuproptosis (copper death) is a recently found cell death type produced by copper iron; nonetheless, the properties of cuproptosis molecular subtypes and possible involvement of cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) in ovarian cancer (OC) remain unknown. METHODS: CRG changes were characterized at the genomic and transcriptional levels in 656 OC samples, and their expression patterns were investigated using three different datasets. RESULTS: We identified three distinct molecular subtypes, and discovered that variations in molecular subtypes were linked to patient prognosis, TME cell infiltration characteristics, malignancy, and immune-related pathways. Then, in order to predict overall survival (OS), we created a risk score and tested its predictive potential in OC patients. As a result, we created a very accurate nomogram to increase risk score clinical applicability. Better OS, younger age, early stage, and immune activity were all associated with a low risk score. The hallmarks of a high-risk score are older age, advanced stage, immunosuppression, and a bad prognosis. Furthermore, risk score was linked to immune checkpoint expression (including PD-L1, CTLA4), targeted therapy gene expression (PARP, PDGFRA), cancer stem cell (CSC), chemotherapy and targeted medication sensitivity. CONCLUSIONS: Our comprehensive analysis of CRGs in OC showed their potential role in TME, clinicopathological characteristics, chemotherapy and targeted drug screening and prognosis. These discoveries could help us better understand CRGs in OC, as well as pave the path for novel ways to assess prognosis and design more effective immunotherapy strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02756-y.
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spelling pubmed-96173002022-10-30 Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer Zhang, Jingjing Lu, Miao Xu, Haoya Ren, Fang Zhu, Liancheng Cancer Cell Int Research BACKGROUND: Cuproptosis (copper death) is a recently found cell death type produced by copper iron; nonetheless, the properties of cuproptosis molecular subtypes and possible involvement of cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) in ovarian cancer (OC) remain unknown. METHODS: CRG changes were characterized at the genomic and transcriptional levels in 656 OC samples, and their expression patterns were investigated using three different datasets. RESULTS: We identified three distinct molecular subtypes, and discovered that variations in molecular subtypes were linked to patient prognosis, TME cell infiltration characteristics, malignancy, and immune-related pathways. Then, in order to predict overall survival (OS), we created a risk score and tested its predictive potential in OC patients. As a result, we created a very accurate nomogram to increase risk score clinical applicability. Better OS, younger age, early stage, and immune activity were all associated with a low risk score. The hallmarks of a high-risk score are older age, advanced stage, immunosuppression, and a bad prognosis. Furthermore, risk score was linked to immune checkpoint expression (including PD-L1, CTLA4), targeted therapy gene expression (PARP, PDGFRA), cancer stem cell (CSC), chemotherapy and targeted medication sensitivity. CONCLUSIONS: Our comprehensive analysis of CRGs in OC showed their potential role in TME, clinicopathological characteristics, chemotherapy and targeted drug screening and prognosis. These discoveries could help us better understand CRGs in OC, as well as pave the path for novel ways to assess prognosis and design more effective immunotherapy strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02756-y. BioMed Central 2022-10-28 /pmc/articles/PMC9617300/ /pubmed/36307842 http://dx.doi.org/10.1186/s12935-022-02756-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Jingjing
Lu, Miao
Xu, Haoya
Ren, Fang
Zhu, Liancheng
Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer
title Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer
title_full Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer
title_fullStr Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer
title_full_unstemmed Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer
title_short Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer
title_sort molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characterization in ovarian cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617300/
https://www.ncbi.nlm.nih.gov/pubmed/36307842
http://dx.doi.org/10.1186/s12935-022-02756-y
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