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CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration

INTRODUCTION: Dysregulation of cell cycle progression (CCP) is a trait that distinguishes cancer from other diseases. In several cancer types, CCP-related genes serve as the primary risk factor for prognosis, but their role in cutaneous melanoma remains unclear. METHODS: Data from cutaneous melanoma...

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Autores principales: Li, Tianhao, Wang, Liquan, Yu, Nanze, Zeng, Ang, Huang, Jiuzuo, Long, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876620/
https://www.ncbi.nlm.nih.gov/pubmed/36713580
http://dx.doi.org/10.3389/fonc.2022.1055308
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author Li, Tianhao
Wang, Liquan
Yu, Nanze
Zeng, Ang
Huang, Jiuzuo
Long, Xiao
author_facet Li, Tianhao
Wang, Liquan
Yu, Nanze
Zeng, Ang
Huang, Jiuzuo
Long, Xiao
author_sort Li, Tianhao
collection PubMed
description INTRODUCTION: Dysregulation of cell cycle progression (CCP) is a trait that distinguishes cancer from other diseases. In several cancer types, CCP-related genes serve as the primary risk factor for prognosis, but their role in cutaneous melanoma remains unclear. METHODS: Data from cutaneous melanoma patients were acquired from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Using a Wilcoxon test, the level of CCP-related gene expression in cutaneous melanoma patient tissues was compared to that in normal skin tissues. Logistic analysis was then utilized to calculate the connection between the CCP-related genes and clinicopathological variables. The important functions of the CCP-related genes were further investigated using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and single-sample Gene Set Enrichment Analysis (ssGSEA). Univariate and multivariate Cox analyses and Kaplan–Meier analysis were used to estimate the association between CCP-related genes and prognosis. In addition, using Cox multivariate analysis, a nomogram was constructed to forecast the influence of CCP-related genes on survival rates. RESULTS: High expression of CCP-related genes was associated with TNM stage, age, pathological grade, and Breslow depth (P < 0.05). Multivariate analysis demonstrated that CCP-related genes were an independent factor in overall survival and disease-specific survival. High levels of gene expression originating from CCP were shown by GSEA to trigger DNA replication, the G1-S specific transcription factor, the mitotic spindle checkpoint, and the cell cycle. There was a negative association between CCP-related genes and the abundance of innate immune cells. Finally, we revealed that knockdown of cell division cycle-associated gene 3 (CDCA3) significantly suppressed the proliferation and migration ability of cutaneous melanoma cells. CONCLUSION: According to this study, CCP-related genes could serve as potential biomarkers to assess the prognosis of cutaneous melanoma patients and are crucial immune response regulators.
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spelling pubmed-98766202023-01-26 CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration Li, Tianhao Wang, Liquan Yu, Nanze Zeng, Ang Huang, Jiuzuo Long, Xiao Front Oncol Oncology INTRODUCTION: Dysregulation of cell cycle progression (CCP) is a trait that distinguishes cancer from other diseases. In several cancer types, CCP-related genes serve as the primary risk factor for prognosis, but their role in cutaneous melanoma remains unclear. METHODS: Data from cutaneous melanoma patients were acquired from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Using a Wilcoxon test, the level of CCP-related gene expression in cutaneous melanoma patient tissues was compared to that in normal skin tissues. Logistic analysis was then utilized to calculate the connection between the CCP-related genes and clinicopathological variables. The important functions of the CCP-related genes were further investigated using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and single-sample Gene Set Enrichment Analysis (ssGSEA). Univariate and multivariate Cox analyses and Kaplan–Meier analysis were used to estimate the association between CCP-related genes and prognosis. In addition, using Cox multivariate analysis, a nomogram was constructed to forecast the influence of CCP-related genes on survival rates. RESULTS: High expression of CCP-related genes was associated with TNM stage, age, pathological grade, and Breslow depth (P < 0.05). Multivariate analysis demonstrated that CCP-related genes were an independent factor in overall survival and disease-specific survival. High levels of gene expression originating from CCP were shown by GSEA to trigger DNA replication, the G1-S specific transcription factor, the mitotic spindle checkpoint, and the cell cycle. There was a negative association between CCP-related genes and the abundance of innate immune cells. Finally, we revealed that knockdown of cell division cycle-associated gene 3 (CDCA3) significantly suppressed the proliferation and migration ability of cutaneous melanoma cells. CONCLUSION: According to this study, CCP-related genes could serve as potential biomarkers to assess the prognosis of cutaneous melanoma patients and are crucial immune response regulators. Frontiers Media S.A. 2023-01-11 /pmc/articles/PMC9876620/ /pubmed/36713580 http://dx.doi.org/10.3389/fonc.2022.1055308 Text en Copyright © 2023 Li, Wang, Yu, Zeng, Huang and Long https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Li, Tianhao
Wang, Liquan
Yu, Nanze
Zeng, Ang
Huang, Jiuzuo
Long, Xiao
CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration
title CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration
title_full CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration
title_fullStr CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration
title_full_unstemmed CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration
title_short CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration
title_sort cdca3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876620/
https://www.ncbi.nlm.nih.gov/pubmed/36713580
http://dx.doi.org/10.3389/fonc.2022.1055308
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