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Bioinformatic analysis of PLOD family member expression and prognostic value in non-small cell lung cancer

BACKGROUND: Procollagen-lysine, 2-oxoglutarate 5-dioxygenases (PLODs) are a group of enzymes that can mediate the hydroxylation of lysyl to hydroxylysine and participate in the formation of stabilized collagen. Evidence has demonstrated that PLODs are involved in the steps of tumor progression, incl...

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Autores principales: Qi, Qi, Huang, Wuhao, Zhang, Hua, Zhang, Bin, Sun, Xiaoyan, Ma, Jun, Zhu, Chaonan, Wang, Changli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798377/
https://www.ncbi.nlm.nih.gov/pubmed/35116582
http://dx.doi.org/10.21037/tcr-21-73
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author Qi, Qi
Huang, Wuhao
Zhang, Hua
Zhang, Bin
Sun, Xiaoyan
Ma, Jun
Zhu, Chaonan
Wang, Changli
author_facet Qi, Qi
Huang, Wuhao
Zhang, Hua
Zhang, Bin
Sun, Xiaoyan
Ma, Jun
Zhu, Chaonan
Wang, Changli
author_sort Qi, Qi
collection PubMed
description BACKGROUND: Procollagen-lysine, 2-oxoglutarate 5-dioxygenases (PLODs) are a group of enzymes that can mediate the hydroxylation of lysyl to hydroxylysine and participate in the formation of stabilized collagen. Evidence has demonstrated that PLODs are involved in the steps of tumor progression, including proliferation, invasion, and metastasis. However, limited information is available on the function of PLOD1/2/3 in lung cancer. In this study, we investigated the expression patterns and prognostic values of PLODs in patients with lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). METHODS: The Oncomine database and UALCAN were used to analyze the mRNA expression levels of PLOD family members in non-small cell lung cancer (NSCLC). The prognostic values of PLODs were investigated by the Kaplan–Meier Plotter database. We collected 33 patients with lung cancer to further verify the expression profiles and prognostic values of PLODs. The Kaplan-Meier method was used to perform survival curves, and the log-rank test was performed to evaluate the differences in survival. According to the GSE31210 databset, univariate and multivariate analyses were performed to identify whether PLODs were independent prognostic indicators for survival. Meanwhile, we investigated the mutations, potential biological functions and immune relevance of PLODs on the basis of the cBioPortal, Metascape and TIMER databases respectively. RESULTS: We found that the mRNA and protein expression levels of PLODs in NSCLC tissues were higher than those in normal lung tissues. High PLOD1/2/3 expression had significant relevance to poor survival in LUAD but not in LUSC. In addition, the GSE31210 dataset showed that PLOD1 and PLOD3 were independent risk factors for relapse-free survival and overall survival (OS) in LUAD. We observed a high alteration rate of PLODs in LUSC patients, and the genetic alterations of PLODs had significant relevance to favorable OS. Furthermore, we observed that PLODs were significantly associated with tumor immunity in lung cancer. The enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway showed that the functions of the PLODs focused on cell cycle, DNA replication, and glycolysis/gluconeogenesis in LUAD. CONCLUSIONS: These results indicated that PLODs were highly expressed in lung cancer and may be suitable prognostic markers.
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spelling pubmed-87983772022-02-02 Bioinformatic analysis of PLOD family member expression and prognostic value in non-small cell lung cancer Qi, Qi Huang, Wuhao Zhang, Hua Zhang, Bin Sun, Xiaoyan Ma, Jun Zhu, Chaonan Wang, Changli Transl Cancer Res Original Article BACKGROUND: Procollagen-lysine, 2-oxoglutarate 5-dioxygenases (PLODs) are a group of enzymes that can mediate the hydroxylation of lysyl to hydroxylysine and participate in the formation of stabilized collagen. Evidence has demonstrated that PLODs are involved in the steps of tumor progression, including proliferation, invasion, and metastasis. However, limited information is available on the function of PLOD1/2/3 in lung cancer. In this study, we investigated the expression patterns and prognostic values of PLODs in patients with lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). METHODS: The Oncomine database and UALCAN were used to analyze the mRNA expression levels of PLOD family members in non-small cell lung cancer (NSCLC). The prognostic values of PLODs were investigated by the Kaplan–Meier Plotter database. We collected 33 patients with lung cancer to further verify the expression profiles and prognostic values of PLODs. The Kaplan-Meier method was used to perform survival curves, and the log-rank test was performed to evaluate the differences in survival. According to the GSE31210 databset, univariate and multivariate analyses were performed to identify whether PLODs were independent prognostic indicators for survival. Meanwhile, we investigated the mutations, potential biological functions and immune relevance of PLODs on the basis of the cBioPortal, Metascape and TIMER databases respectively. RESULTS: We found that the mRNA and protein expression levels of PLODs in NSCLC tissues were higher than those in normal lung tissues. High PLOD1/2/3 expression had significant relevance to poor survival in LUAD but not in LUSC. In addition, the GSE31210 dataset showed that PLOD1 and PLOD3 were independent risk factors for relapse-free survival and overall survival (OS) in LUAD. We observed a high alteration rate of PLODs in LUSC patients, and the genetic alterations of PLODs had significant relevance to favorable OS. Furthermore, we observed that PLODs were significantly associated with tumor immunity in lung cancer. The enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway showed that the functions of the PLODs focused on cell cycle, DNA replication, and glycolysis/gluconeogenesis in LUAD. CONCLUSIONS: These results indicated that PLODs were highly expressed in lung cancer and may be suitable prognostic markers. AME Publishing Company 2021-06 /pmc/articles/PMC8798377/ /pubmed/35116582 http://dx.doi.org/10.21037/tcr-21-73 Text en 2021 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
Qi, Qi
Huang, Wuhao
Zhang, Hua
Zhang, Bin
Sun, Xiaoyan
Ma, Jun
Zhu, Chaonan
Wang, Changli
Bioinformatic analysis of PLOD family member expression and prognostic value in non-small cell lung cancer
title Bioinformatic analysis of PLOD family member expression and prognostic value in non-small cell lung cancer
title_full Bioinformatic analysis of PLOD family member expression and prognostic value in non-small cell lung cancer
title_fullStr Bioinformatic analysis of PLOD family member expression and prognostic value in non-small cell lung cancer
title_full_unstemmed Bioinformatic analysis of PLOD family member expression and prognostic value in non-small cell lung cancer
title_short Bioinformatic analysis of PLOD family member expression and prognostic value in non-small cell lung cancer
title_sort bioinformatic analysis of plod family member expression and prognostic value in non-small cell lung cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798377/
https://www.ncbi.nlm.nih.gov/pubmed/35116582
http://dx.doi.org/10.21037/tcr-21-73
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