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Serum Peptidome Variations in a Healthy Population: Reference to Identify Cancer-Specific Peptides
The emergence of mass spectrometry (MS)-based signatures as biomarkers has generated considerable enthusiasm among oncologists. However, variations in normal individuals also exist, and a better understanding of serum peptide patterns of healthy individuals will be important for further exploring di...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648468/ https://www.ncbi.nlm.nih.gov/pubmed/23667664 http://dx.doi.org/10.1371/journal.pone.0063724 |
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author | He, Kun Wen, Xin-Yu Li, Ai-Ling Li, Tao Wang, Jie Wang, Hong-Xia Wang, Na |
author_facet | He, Kun Wen, Xin-Yu Li, Ai-Ling Li, Tao Wang, Jie Wang, Hong-Xia Wang, Na |
author_sort | He, Kun |
collection | PubMed |
description | The emergence of mass spectrometry (MS)-based signatures as biomarkers has generated considerable enthusiasm among oncologists. However, variations in normal individuals also exist, and a better understanding of serum peptide patterns of healthy individuals will be important for further exploring disease-specific serum peptide patterns. Following development of a serum peptide pattern platform, we analyzed 500 serum samples obtained from healthy individuals. Samples from breast (n = 84), lung (n = 70), and rectal (n = 30) cancer patients were also examined. Extensive data analysis revealed negligible contributions of age to serum peptide patterns except in healthy individuals between 20–30 and 60+ years of age. Gender-related variations in the serum patterns of healthy individuals were only observed in 20–30 year-old individuals. Our results revealed substantial variation in individual peptide profiles, but 65 peptides were detected at a 20% higher frequency in the healthy population. A peptide profile was developed for each type of cancer, containing 10 discriminating peptides not prevalent in healthy individuals. Sequence identification of 111 signature peptides revealed that they fell into several tight clusters and most were exopeptidase products of serum resident proteins. We have obtained a MS-based serum peptide profile for healthy individuals, providing a reference for observing the occurrence of cancer-specific peptides. |
format | Online Article Text |
id | pubmed-3648468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36484682013-05-10 Serum Peptidome Variations in a Healthy Population: Reference to Identify Cancer-Specific Peptides He, Kun Wen, Xin-Yu Li, Ai-Ling Li, Tao Wang, Jie Wang, Hong-Xia Wang, Na PLoS One Research Article The emergence of mass spectrometry (MS)-based signatures as biomarkers has generated considerable enthusiasm among oncologists. However, variations in normal individuals also exist, and a better understanding of serum peptide patterns of healthy individuals will be important for further exploring disease-specific serum peptide patterns. Following development of a serum peptide pattern platform, we analyzed 500 serum samples obtained from healthy individuals. Samples from breast (n = 84), lung (n = 70), and rectal (n = 30) cancer patients were also examined. Extensive data analysis revealed negligible contributions of age to serum peptide patterns except in healthy individuals between 20–30 and 60+ years of age. Gender-related variations in the serum patterns of healthy individuals were only observed in 20–30 year-old individuals. Our results revealed substantial variation in individual peptide profiles, but 65 peptides were detected at a 20% higher frequency in the healthy population. A peptide profile was developed for each type of cancer, containing 10 discriminating peptides not prevalent in healthy individuals. Sequence identification of 111 signature peptides revealed that they fell into several tight clusters and most were exopeptidase products of serum resident proteins. We have obtained a MS-based serum peptide profile for healthy individuals, providing a reference for observing the occurrence of cancer-specific peptides. Public Library of Science 2013-05-08 /pmc/articles/PMC3648468/ /pubmed/23667664 http://dx.doi.org/10.1371/journal.pone.0063724 Text en © 2013 He et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article He, Kun Wen, Xin-Yu Li, Ai-Ling Li, Tao Wang, Jie Wang, Hong-Xia Wang, Na Serum Peptidome Variations in a Healthy Population: Reference to Identify Cancer-Specific Peptides |
title | Serum Peptidome Variations in a Healthy Population: Reference to Identify Cancer-Specific Peptides |
title_full | Serum Peptidome Variations in a Healthy Population: Reference to Identify Cancer-Specific Peptides |
title_fullStr | Serum Peptidome Variations in a Healthy Population: Reference to Identify Cancer-Specific Peptides |
title_full_unstemmed | Serum Peptidome Variations in a Healthy Population: Reference to Identify Cancer-Specific Peptides |
title_short | Serum Peptidome Variations in a Healthy Population: Reference to Identify Cancer-Specific Peptides |
title_sort | serum peptidome variations in a healthy population: reference to identify cancer-specific peptides |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648468/ https://www.ncbi.nlm.nih.gov/pubmed/23667664 http://dx.doi.org/10.1371/journal.pone.0063724 |
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