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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...

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Autores principales: Chen, Xiaoli, Zhu, Yong, Jijiwa, Mayumi, Nasu, Masaki, Ai, Junmei, Dai, Shengming, Jiang, Bin, Zhang, Jicai, Huang, Gang, Deng, Youping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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.
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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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