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Serum proteomic profile analysis for endometrial carcinoma detection with MALDI-TOF MS
INTRODUCTION: Endometrial carcinoma is the one of the leading causes of terminal cancer death in women, and the best way to solve it is through an early diagnosis. Serum proteomic profiling is a promising approach to classify disease versus normal and matrix-assisted laser desorption/ionization time...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3281347/ https://www.ncbi.nlm.nih.gov/pubmed/22371754 http://dx.doi.org/10.5114/aoms.2010.13903 |
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author | Qiu, Feng Gao, Yan H. Jiang, Chao G. Tian, Ya P. Zhang, Xue J. |
author_facet | Qiu, Feng Gao, Yan H. Jiang, Chao G. Tian, Ya P. Zhang, Xue J. |
author_sort | Qiu, Feng |
collection | PubMed |
description | INTRODUCTION: Endometrial carcinoma is the one of the leading causes of terminal cancer death in women, and the best way to solve it is through an early diagnosis. Serum proteomic profiling is a promising approach to classify disease versus normal and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF). This analysis is a new potential tool for the diagnosis of human diseases. The objective of our study was to assess the feasibility of mass spectrometry, based on serum proteomic pattern for the discrimination of endometrial carcinoma patients from healthy control patients. MATERIAL AND METHODS: By using 30 pre-operative endometrial carcinoma serum samples and 30 healthy controls, we generated MALDI-TOF protein profiles, established the serum detection model, and analyzed the data. Furthermore, we validated the data and got the total sensitivity (97.6%) and specificity (100%), which could classify all the samples well and demonstrated the high, significant separation ability. RESULTS: Our results indicated that high sensitivity and specificity classify endometrial carcinoma by the serum detection model and showed the potential usefulness of serum protein profiles. CONCLUSIONS: From these results, we could tell that MALDI-TOF MS is a potential tool for diagnosing diseases by the use of serum samples and will be widely used in the future for clinical work. |
format | Online Article Text |
id | pubmed-3281347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-32813472012-02-27 Serum proteomic profile analysis for endometrial carcinoma detection with MALDI-TOF MS Qiu, Feng Gao, Yan H. Jiang, Chao G. Tian, Ya P. Zhang, Xue J. Arch Med Sci Original Research INTRODUCTION: Endometrial carcinoma is the one of the leading causes of terminal cancer death in women, and the best way to solve it is through an early diagnosis. Serum proteomic profiling is a promising approach to classify disease versus normal and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF). This analysis is a new potential tool for the diagnosis of human diseases. The objective of our study was to assess the feasibility of mass spectrometry, based on serum proteomic pattern for the discrimination of endometrial carcinoma patients from healthy control patients. MATERIAL AND METHODS: By using 30 pre-operative endometrial carcinoma serum samples and 30 healthy controls, we generated MALDI-TOF protein profiles, established the serum detection model, and analyzed the data. Furthermore, we validated the data and got the total sensitivity (97.6%) and specificity (100%), which could classify all the samples well and demonstrated the high, significant separation ability. RESULTS: Our results indicated that high sensitivity and specificity classify endometrial carcinoma by the serum detection model and showed the potential usefulness of serum protein profiles. CONCLUSIONS: From these results, we could tell that MALDI-TOF MS is a potential tool for diagnosing diseases by the use of serum samples and will be widely used in the future for clinical work. Termedia Publishing House 2010-04-30 2010-04-30 /pmc/articles/PMC3281347/ /pubmed/22371754 http://dx.doi.org/10.5114/aoms.2010.13903 Text en Copyright © 2010 Termedia & Banach http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Qiu, Feng Gao, Yan H. Jiang, Chao G. Tian, Ya P. Zhang, Xue J. Serum proteomic profile analysis for endometrial carcinoma detection with MALDI-TOF MS |
title | Serum proteomic profile analysis for endometrial carcinoma detection with MALDI-TOF MS |
title_full | Serum proteomic profile analysis for endometrial carcinoma detection with MALDI-TOF MS |
title_fullStr | Serum proteomic profile analysis for endometrial carcinoma detection with MALDI-TOF MS |
title_full_unstemmed | Serum proteomic profile analysis for endometrial carcinoma detection with MALDI-TOF MS |
title_short | Serum proteomic profile analysis for endometrial carcinoma detection with MALDI-TOF MS |
title_sort | serum proteomic profile analysis for endometrial carcinoma detection with maldi-tof ms |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3281347/ https://www.ncbi.nlm.nih.gov/pubmed/22371754 http://dx.doi.org/10.5114/aoms.2010.13903 |
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