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Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation
BACKGROUND: Phosphatidylinositol binding clathrin assembly protein interacting mitotic regulator (PIMREG) expression is upregulated in a variety of cancers. However, its potential role in breast cancer (BC) remains uncertain. METHODS: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO)...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358341/ https://www.ncbi.nlm.nih.gov/pubmed/37483962 http://dx.doi.org/10.7717/peerj.15703 |
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author | Zhao, Wenjing Chang, Yuanjin Wu, Zhaoye Jiang, Xiaofan Li, Yong Xie, Ruijin Fu, Deyuan Sun, Chenyu Gao, Ju |
author_facet | Zhao, Wenjing Chang, Yuanjin Wu, Zhaoye Jiang, Xiaofan Li, Yong Xie, Ruijin Fu, Deyuan Sun, Chenyu Gao, Ju |
author_sort | Zhao, Wenjing |
collection | PubMed |
description | BACKGROUND: Phosphatidylinositol binding clathrin assembly protein interacting mitotic regulator (PIMREG) expression is upregulated in a variety of cancers. However, its potential role in breast cancer (BC) remains uncertain. METHODS: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to gather relevant information. The expression of PIMREG and its clinical implication in BC were assessed by using Wilcoxon rank-sum test. The prognostic value of PIMREG in BC was evaluated through the Cox regression model and nomogram, and visualized by Kaplan-Meier survival curves. Genes/proteins that interact with PIMREG in BC were also identified through GeneMANIA and MaxLink. Gene set enrichment analysis (GSEA) was then performed. The correlations of the immune cell infiltration and immune checkpoints with the expression of PIMREG in BC were explored via TIMER, TISIDB, and GEPIA. Potential drugs that interact with PIMREG in BC were explored via Q-omic. The siRNA transfection, CCK-8, and transwell migration assay were conducted to explore the function of PIMREG in cell proliferation and migration. RESULTS: PIMREG expression was significantly higher in infiltrating ductal carcinoma, estrogen receptor negative BC, and progestin receptor negative BC. High expression of PIMREG was associated with poor overall survival, disease-specific survival, and progression-free interval. A nomogram based on PIMREG was developed with a satisfactory prognostic value. PIMREG also had a high diagnostic ability, with an area under the curve of 0.940. Its correlations with several immunomodulators were also observed. Immune checkpoint CTLA-4 was significantly positively associated with PIMREG. HDAC2 was found as a potentially critical link between PIMREG and BRCA1/2. In addition, PIMREG knockdown could inhibit cell proliferation and migration in BC. CONCLUSIONS: The high expression of PIMREG is associated with poor prognosis and immune checkpoints in BC. HDAC2 may be a critical link between PIMREG and BRCA1/2, potentially a therapeutic target. |
format | Online Article Text |
id | pubmed-10358341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103583412023-07-21 Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation Zhao, Wenjing Chang, Yuanjin Wu, Zhaoye Jiang, Xiaofan Li, Yong Xie, Ruijin Fu, Deyuan Sun, Chenyu Gao, Ju PeerJ Bioinformatics BACKGROUND: Phosphatidylinositol binding clathrin assembly protein interacting mitotic regulator (PIMREG) expression is upregulated in a variety of cancers. However, its potential role in breast cancer (BC) remains uncertain. METHODS: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to gather relevant information. The expression of PIMREG and its clinical implication in BC were assessed by using Wilcoxon rank-sum test. The prognostic value of PIMREG in BC was evaluated through the Cox regression model and nomogram, and visualized by Kaplan-Meier survival curves. Genes/proteins that interact with PIMREG in BC were also identified through GeneMANIA and MaxLink. Gene set enrichment analysis (GSEA) was then performed. The correlations of the immune cell infiltration and immune checkpoints with the expression of PIMREG in BC were explored via TIMER, TISIDB, and GEPIA. Potential drugs that interact with PIMREG in BC were explored via Q-omic. The siRNA transfection, CCK-8, and transwell migration assay were conducted to explore the function of PIMREG in cell proliferation and migration. RESULTS: PIMREG expression was significantly higher in infiltrating ductal carcinoma, estrogen receptor negative BC, and progestin receptor negative BC. High expression of PIMREG was associated with poor overall survival, disease-specific survival, and progression-free interval. A nomogram based on PIMREG was developed with a satisfactory prognostic value. PIMREG also had a high diagnostic ability, with an area under the curve of 0.940. Its correlations with several immunomodulators were also observed. Immune checkpoint CTLA-4 was significantly positively associated with PIMREG. HDAC2 was found as a potentially critical link between PIMREG and BRCA1/2. In addition, PIMREG knockdown could inhibit cell proliferation and migration in BC. CONCLUSIONS: The high expression of PIMREG is associated with poor prognosis and immune checkpoints in BC. HDAC2 may be a critical link between PIMREG and BRCA1/2, potentially a therapeutic target. PeerJ Inc. 2023-07-17 /pmc/articles/PMC10358341/ /pubmed/37483962 http://dx.doi.org/10.7717/peerj.15703 Text en ©2023 Zhao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Zhao, Wenjing Chang, Yuanjin Wu, Zhaoye Jiang, Xiaofan Li, Yong Xie, Ruijin Fu, Deyuan Sun, Chenyu Gao, Ju Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation |
title | Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation |
title_full | Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation |
title_fullStr | Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation |
title_full_unstemmed | Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation |
title_short | Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation |
title_sort | identification of pimreg as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358341/ https://www.ncbi.nlm.nih.gov/pubmed/37483962 http://dx.doi.org/10.7717/peerj.15703 |
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