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Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer
BACKGROUND: The increasing incidence and mortality of colorectal cancer (CRC) urgently requires updated biomarkers. The ABC transporter family is a widespread family of membrane-bound proteins involved in the transportation of substrates associated with ATP hydrolysis, including metabolites, amino a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9242773/ https://www.ncbi.nlm.nih.gov/pubmed/35783152 http://dx.doi.org/10.1155/2022/3399311 |
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author | Bu, Peilong Xiao, Yafei Hu, Shaowen Jiang, Xiaowei Tan, Cong Qiu, Mengyuan Huang, Wanting Li, Mengmeng Li, Quanying Qin, Changjiang |
author_facet | Bu, Peilong Xiao, Yafei Hu, Shaowen Jiang, Xiaowei Tan, Cong Qiu, Mengyuan Huang, Wanting Li, Mengmeng Li, Quanying Qin, Changjiang |
author_sort | Bu, Peilong |
collection | PubMed |
description | BACKGROUND: The increasing incidence and mortality of colorectal cancer (CRC) urgently requires updated biomarkers. The ABC transporter family is a widespread family of membrane-bound proteins involved in the transportation of substrates associated with ATP hydrolysis, including metabolites, amino acids, peptides and proteins, sterols and lipids, organic and inorganic ions, sugars, metals, and drugs. They play an important role in the maintenance of homeostasis in the body. PURPOSE: This study aims to search for new markers in the ABC transporter gene family for diagnostic and prognostic purposes through data mining of The Cancer Genome Atlas (TCGA) and GEO (Gene Expression Omnibus) datasets. METHODS: A total of 980 samples, including 684 CRC patients and 296 controls from five different datasets, were included for analysis. The construction of the PPI (protein-protein interaction) network and pathway analysis were performed in STRING database and DAVID (database for annotation, visualization, and integrated discovery), respectively. In addition, GSEA (gene set enrichment analysis) and WGCNA (weighted gene co-expression network analysis) were also used for functional analysis. RESULTS: After several rounds of screening and validation, only the ABCB5 gene was retained among the 49 genes. CONCLUSIONS: The results demonstrated that ABCA5 expression is reduced in CRC and patients with high ABCA5 expression have better OS, which can provide guidance for better management and treatment of CRC in the future. |
format | Online Article Text |
id | pubmed-9242773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92427732022-06-30 Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer Bu, Peilong Xiao, Yafei Hu, Shaowen Jiang, Xiaowei Tan, Cong Qiu, Mengyuan Huang, Wanting Li, Mengmeng Li, Quanying Qin, Changjiang J Oncol Research Article BACKGROUND: The increasing incidence and mortality of colorectal cancer (CRC) urgently requires updated biomarkers. The ABC transporter family is a widespread family of membrane-bound proteins involved in the transportation of substrates associated with ATP hydrolysis, including metabolites, amino acids, peptides and proteins, sterols and lipids, organic and inorganic ions, sugars, metals, and drugs. They play an important role in the maintenance of homeostasis in the body. PURPOSE: This study aims to search for new markers in the ABC transporter gene family for diagnostic and prognostic purposes through data mining of The Cancer Genome Atlas (TCGA) and GEO (Gene Expression Omnibus) datasets. METHODS: A total of 980 samples, including 684 CRC patients and 296 controls from five different datasets, were included for analysis. The construction of the PPI (protein-protein interaction) network and pathway analysis were performed in STRING database and DAVID (database for annotation, visualization, and integrated discovery), respectively. In addition, GSEA (gene set enrichment analysis) and WGCNA (weighted gene co-expression network analysis) were also used for functional analysis. RESULTS: After several rounds of screening and validation, only the ABCB5 gene was retained among the 49 genes. CONCLUSIONS: The results demonstrated that ABCA5 expression is reduced in CRC and patients with high ABCA5 expression have better OS, which can provide guidance for better management and treatment of CRC in the future. Hindawi 2022-06-22 /pmc/articles/PMC9242773/ /pubmed/35783152 http://dx.doi.org/10.1155/2022/3399311 Text en Copyright © 2022 Peilong Bu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Bu, Peilong Xiao, Yafei Hu, Shaowen Jiang, Xiaowei Tan, Cong Qiu, Mengyuan Huang, Wanting Li, Mengmeng Li, Quanying Qin, Changjiang Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer |
title | Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer |
title_full | Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer |
title_fullStr | Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer |
title_full_unstemmed | Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer |
title_short | Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer |
title_sort | identification of abca5 among atp-binding cassette transporter family as a new biomarker for colorectal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9242773/ https://www.ncbi.nlm.nih.gov/pubmed/35783152 http://dx.doi.org/10.1155/2022/3399311 |
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