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High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma
The procollagen C-protease enhancer (PCOLCE) has been identified to influence tumor growth and metastasis in multiple cancers. However, the relationship between PCOLCE activity and the progression of gliomas remains largely unknown. Glioma RNA-seq data were derived from the Chinese Glioma Genome Atl...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992371/ https://www.ncbi.nlm.nih.gov/pubmed/36882457 http://dx.doi.org/10.1038/s41598-023-30413-5 |
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author | Guo, Qingbao Gao, Xin Li, Jingjie Liu, Yukun Liu, Jiayu Yang, Hui Cui, Meng Zhang, Meng Duan, Lian Ma, Xiaodong |
author_facet | Guo, Qingbao Gao, Xin Li, Jingjie Liu, Yukun Liu, Jiayu Yang, Hui Cui, Meng Zhang, Meng Duan, Lian Ma, Xiaodong |
author_sort | Guo, Qingbao |
collection | PubMed |
description | The procollagen C-protease enhancer (PCOLCE) has been identified to influence tumor growth and metastasis in multiple cancers. However, the relationship between PCOLCE activity and the progression of gliomas remains largely unknown. Glioma RNA-seq data were derived from the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas databases for analysis. Kaplan–Meier survival curve, clinical characterization correlation, univariate and multivariate Cox, and receiver operating characteristic curve analyses were performed to assess the prognostic role of PCOLCE. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis were used to determine the functions or pathways associated with PCOLCE. The ESTIMATE and CIBERSORT algorithms, Spearman’s rank correlation analysis, and Tumor Immune Estimation Resource (TIMER) databases were used to explore the relationship between PCOLCE and immune infiltration. Correlation analysis between PCOLCE, related genes, and immune cell markers was conducted using the TIMER database. Immunophenoscore assays were performed to determine differential PCOLCE expression levels in glioma. The sensitivity of multi-drugs were determined to explore potential chemotherapeutic agents in between PCOLCE. Compared to normal brain tissue, PCOLCE expression was increased in glioma and correlated with shorter overall survival (OS). Furthermore, significant differences were observed in the immune scores and immune cell infiltration levels. PCOLCE is positively associated with immune checkpoints and many immune markers. Additionally, PCOLCE expression was higher in gliomas with higher IPS Z-scores in CGGA. High expression of PCOLCE increased sensitivity to multiple chemotherapy agents in CGGA (P < 0.001), and TCGA. These results suggest that PCOLCE significantly influences the prognosis of patients with glioma, can serve as an independent prognostic factor, and is related to tumor immunity. PCOLCE may be a novel immune-related target for treating gliomas. Additionally, analysis of chemosensitivity in gliomas with high PCOLCE expression may provide a promising direction for drug development. |
format | Online Article Text |
id | pubmed-9992371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99923712023-03-09 High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma Guo, Qingbao Gao, Xin Li, Jingjie Liu, Yukun Liu, Jiayu Yang, Hui Cui, Meng Zhang, Meng Duan, Lian Ma, Xiaodong Sci Rep Article The procollagen C-protease enhancer (PCOLCE) has been identified to influence tumor growth and metastasis in multiple cancers. However, the relationship between PCOLCE activity and the progression of gliomas remains largely unknown. Glioma RNA-seq data were derived from the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas databases for analysis. Kaplan–Meier survival curve, clinical characterization correlation, univariate and multivariate Cox, and receiver operating characteristic curve analyses were performed to assess the prognostic role of PCOLCE. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis were used to determine the functions or pathways associated with PCOLCE. The ESTIMATE and CIBERSORT algorithms, Spearman’s rank correlation analysis, and Tumor Immune Estimation Resource (TIMER) databases were used to explore the relationship between PCOLCE and immune infiltration. Correlation analysis between PCOLCE, related genes, and immune cell markers was conducted using the TIMER database. Immunophenoscore assays were performed to determine differential PCOLCE expression levels in glioma. The sensitivity of multi-drugs were determined to explore potential chemotherapeutic agents in between PCOLCE. Compared to normal brain tissue, PCOLCE expression was increased in glioma and correlated with shorter overall survival (OS). Furthermore, significant differences were observed in the immune scores and immune cell infiltration levels. PCOLCE is positively associated with immune checkpoints and many immune markers. Additionally, PCOLCE expression was higher in gliomas with higher IPS Z-scores in CGGA. High expression of PCOLCE increased sensitivity to multiple chemotherapy agents in CGGA (P < 0.001), and TCGA. These results suggest that PCOLCE significantly influences the prognosis of patients with glioma, can serve as an independent prognostic factor, and is related to tumor immunity. PCOLCE may be a novel immune-related target for treating gliomas. Additionally, analysis of chemosensitivity in gliomas with high PCOLCE expression may provide a promising direction for drug development. Nature Publishing Group UK 2023-03-07 /pmc/articles/PMC9992371/ /pubmed/36882457 http://dx.doi.org/10.1038/s41598-023-30413-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Guo, Qingbao Gao, Xin Li, Jingjie Liu, Yukun Liu, Jiayu Yang, Hui Cui, Meng Zhang, Meng Duan, Lian Ma, Xiaodong High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma |
title | High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma |
title_full | High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma |
title_fullStr | High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma |
title_full_unstemmed | High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma |
title_short | High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma |
title_sort | high expression of pcolce gene indicate poor prognosis in patients and are associated with immune infiltration in glioma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992371/ https://www.ncbi.nlm.nih.gov/pubmed/36882457 http://dx.doi.org/10.1038/s41598-023-30413-5 |
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