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Construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and RT‑qPCR analysis

Colon adenocarcinoma (COAD) is the most common pathological subtype of colon cancer with a high degree of malignancy. Cuproptosis is a newly discovered copper-dependent cell death pattern distinguished from all the other known programmed cell death. Hence, it can be used as a potential therapeutic t...

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Autores principales: Yang, Guang, Wang, Haiping, Sun, Binlian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932052/
https://www.ncbi.nlm.nih.gov/pubmed/36817047
http://dx.doi.org/10.3892/ol.2023.13677
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author Yang, Guang
Wang, Haiping
Sun, Binlian
author_facet Yang, Guang
Wang, Haiping
Sun, Binlian
author_sort Yang, Guang
collection PubMed
description Colon adenocarcinoma (COAD) is the most common pathological subtype of colon cancer with a high degree of malignancy. Cuproptosis is a newly discovered copper-dependent cell death pattern distinguished from all the other known programmed cell death. Hence, it can be used as a potential therapeutic target for cancer. The present study aimed to clarify the relationship between cuproptosis and prognosis of COAD. The variations of 12 cuproptosis-associated genes based on 623 patients with COAD were comprehensively identified. It was found that 8 out of 12 were differentially expressed in tumors and normal tissues and CDKN2A showed a higher prognostic value. Therefore, two molecular subtypes were explored and the subtype A, with higher expression of cuproptosis-associated genes, showed more enrichment of immune pathways and survival advantage over those with lower cuproptosis-associated genes expression. The risk score and a nomogram predicting pattern were constructed to quantify a single patient and the risk score could serve as an independent prognostic factor by multivariate Cox regression analysis (P<0.001, HR: 1.350, 95% CI: 1.189-1.534). The expression levels of key prognostic genes (PMM2, ACOX1, KDM3A, HSPB1, PPARGC1A, UPK3B and EPHB2) was analyzed by HCT-116 colon cancer cells and HT-29 colorectal cancer cells using reverse transcription-quantitative PCR. The high-risk group, characterized by higher immune infiltration, increased microsatellite instability-high, high tumor mutation burden and high expression level of immune checkpoints, indicated higher drug sensitivity. In conclusion, our analysis confirms the potential role of cuproptosis-associated genes in the prognosis of COAD and it will provide new ideas for immunotherapy.
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spelling pubmed-99320522023-02-17 Construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and RT‑qPCR analysis Yang, Guang Wang, Haiping Sun, Binlian Oncol Lett Articles Colon adenocarcinoma (COAD) is the most common pathological subtype of colon cancer with a high degree of malignancy. Cuproptosis is a newly discovered copper-dependent cell death pattern distinguished from all the other known programmed cell death. Hence, it can be used as a potential therapeutic target for cancer. The present study aimed to clarify the relationship between cuproptosis and prognosis of COAD. The variations of 12 cuproptosis-associated genes based on 623 patients with COAD were comprehensively identified. It was found that 8 out of 12 were differentially expressed in tumors and normal tissues and CDKN2A showed a higher prognostic value. Therefore, two molecular subtypes were explored and the subtype A, with higher expression of cuproptosis-associated genes, showed more enrichment of immune pathways and survival advantage over those with lower cuproptosis-associated genes expression. The risk score and a nomogram predicting pattern were constructed to quantify a single patient and the risk score could serve as an independent prognostic factor by multivariate Cox regression analysis (P<0.001, HR: 1.350, 95% CI: 1.189-1.534). The expression levels of key prognostic genes (PMM2, ACOX1, KDM3A, HSPB1, PPARGC1A, UPK3B and EPHB2) was analyzed by HCT-116 colon cancer cells and HT-29 colorectal cancer cells using reverse transcription-quantitative PCR. The high-risk group, characterized by higher immune infiltration, increased microsatellite instability-high, high tumor mutation burden and high expression level of immune checkpoints, indicated higher drug sensitivity. In conclusion, our analysis confirms the potential role of cuproptosis-associated genes in the prognosis of COAD and it will provide new ideas for immunotherapy. D.A. Spandidos 2023-01-20 /pmc/articles/PMC9932052/ /pubmed/36817047 http://dx.doi.org/10.3892/ol.2023.13677 Text en Copyright: © Yang et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Yang, Guang
Wang, Haiping
Sun, Binlian
Construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and RT‑qPCR analysis
title Construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and RT‑qPCR analysis
title_full Construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and RT‑qPCR analysis
title_fullStr Construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and RT‑qPCR analysis
title_full_unstemmed Construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and RT‑qPCR analysis
title_short Construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and RT‑qPCR analysis
title_sort construction of cuproptosis‑associated prognostic signature in colon adenocarcinoma based on bioinformatics and rt‑qpcr analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932052/
https://www.ncbi.nlm.nih.gov/pubmed/36817047
http://dx.doi.org/10.3892/ol.2023.13677
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