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Identification of plasma lipid species as promising diagnostic markers for prostate cancer
BACKGROUND: Prostate cancer is a very common and highly fatal in men. Current non-invasive detection methods like serum biomarker are unsatisfactory. Biomarkers with high accuracy for diagnostic of prostate cancer are urgently needed. Many lipid species have been found related to various cancers. Th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513490/ https://www.ncbi.nlm.nih.gov/pubmed/32967667 http://dx.doi.org/10.1186/s12911-020-01242-7 |
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author | Chen, Xiaoli Zhu, Yong Jijiwa, Mayumi Nasu, Masaki Ai, Junmei Dai, Shengming Jiang, Bin Zhang, Jicai Huang, Gang Deng, Youping |
author_facet | Chen, Xiaoli Zhu, Yong Jijiwa, Mayumi Nasu, Masaki Ai, Junmei Dai, Shengming Jiang, Bin Zhang, Jicai Huang, Gang Deng, Youping |
author_sort | Chen, Xiaoli |
collection | PubMed |
description | BACKGROUND: Prostate cancer is a very common and highly fatal in men. Current non-invasive detection methods like serum biomarker are unsatisfactory. Biomarkers with high accuracy for diagnostic of prostate cancer are urgently needed. Many lipid species have been found related to various cancers. The purpose of our study is to explore the diagnostic value of lipids for prostate cancer. RESULTS: Using triple quadruple liquid chromatography electrospray ionization tandem mass spectrometry, we performed lipidomics profiling of 367 lipids on a total 114 plasma samples from 30 patients with prostate cancer, 38 patients with benign prostatic hyperplasia (BPH), and 46 male healthy controls to evaluate the lipids as potential biomarkers in the diagnosis of prostate cancer. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database was used to construct the potential mechanism pathway. After statistical analysis, five lipids were identified as a panel of potential biomarkers for the detection of prostate cancer between prostate cancer group and the BPH group; the sensitivity, specificity, and area under curve (AUC) of the combination of these five lipids were 73.3, 81.6%, and 0.800, respectively. We also identified another panel of five lipids in distinguishing between prostate cancer group and the control group with predictive values of sensitivity at 76.7%, specificity at 80.4%, and AUC at 0.836, respectively. The glycerophospholipid metabolism pathway of the selected lipids was considered as the target pathway. CONCLUSIONS: Our study indicated that the identified plasma lipid biomarkers have potential in the diagnosis of prostate cancer. |
format | Online Article Text |
id | pubmed-7513490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75134902020-09-25 Identification of plasma lipid species as promising diagnostic markers for prostate cancer Chen, Xiaoli Zhu, Yong Jijiwa, Mayumi Nasu, Masaki Ai, Junmei Dai, Shengming Jiang, Bin Zhang, Jicai Huang, Gang Deng, Youping BMC Med Inform Decis Mak Research BACKGROUND: Prostate cancer is a very common and highly fatal in men. Current non-invasive detection methods like serum biomarker are unsatisfactory. Biomarkers with high accuracy for diagnostic of prostate cancer are urgently needed. Many lipid species have been found related to various cancers. The purpose of our study is to explore the diagnostic value of lipids for prostate cancer. RESULTS: Using triple quadruple liquid chromatography electrospray ionization tandem mass spectrometry, we performed lipidomics profiling of 367 lipids on a total 114 plasma samples from 30 patients with prostate cancer, 38 patients with benign prostatic hyperplasia (BPH), and 46 male healthy controls to evaluate the lipids as potential biomarkers in the diagnosis of prostate cancer. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database was used to construct the potential mechanism pathway. After statistical analysis, five lipids were identified as a panel of potential biomarkers for the detection of prostate cancer between prostate cancer group and the BPH group; the sensitivity, specificity, and area under curve (AUC) of the combination of these five lipids were 73.3, 81.6%, and 0.800, respectively. We also identified another panel of five lipids in distinguishing between prostate cancer group and the control group with predictive values of sensitivity at 76.7%, specificity at 80.4%, and AUC at 0.836, respectively. The glycerophospholipid metabolism pathway of the selected lipids was considered as the target pathway. CONCLUSIONS: Our study indicated that the identified plasma lipid biomarkers have potential in the diagnosis of prostate cancer. BioMed Central 2020-09-24 /pmc/articles/PMC7513490/ /pubmed/32967667 http://dx.doi.org/10.1186/s12911-020-01242-7 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Xiaoli Zhu, Yong Jijiwa, Mayumi Nasu, Masaki Ai, Junmei Dai, Shengming Jiang, Bin Zhang, Jicai Huang, Gang Deng, Youping Identification of plasma lipid species as promising diagnostic markers for prostate cancer |
title | Identification of plasma lipid species as promising diagnostic markers for prostate cancer |
title_full | Identification of plasma lipid species as promising diagnostic markers for prostate cancer |
title_fullStr | Identification of plasma lipid species as promising diagnostic markers for prostate cancer |
title_full_unstemmed | Identification of plasma lipid species as promising diagnostic markers for prostate cancer |
title_short | Identification of plasma lipid species as promising diagnostic markers for prostate cancer |
title_sort | identification of plasma lipid species as promising diagnostic markers for prostate cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513490/ https://www.ncbi.nlm.nih.gov/pubmed/32967667 http://dx.doi.org/10.1186/s12911-020-01242-7 |
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