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Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns

Background. To explore the application of serum proteomic patterns for the preoperative detection of regional lymph node involvement of colorectal cancer (CRC). Methods. Serum samples were applied to immobilized metal affinity capture ProteinChip to generate mass spectra by Surface-Enhanced Laser De...

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Autores principales: Fan, Nai-Jun, Gao, Chun-Fang, Wang, Xiu-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3255105/
https://www.ncbi.nlm.nih.gov/pubmed/22253617
http://dx.doi.org/10.1155/2011/784967
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author Fan, Nai-Jun
Gao, Chun-Fang
Wang, Xiu-Li
author_facet Fan, Nai-Jun
Gao, Chun-Fang
Wang, Xiu-Li
author_sort Fan, Nai-Jun
collection PubMed
description Background. To explore the application of serum proteomic patterns for the preoperative detection of regional lymph node involvement of colorectal cancer (CRC). Methods. Serum samples were applied to immobilized metal affinity capture ProteinChip to generate mass spectra by Surface-Enhanced Laser Desorption/ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS). Proteomic spectra of serum samples from 70 node-positive CRC patients and 75 age- and gender-matched node-negative CRC patients were employed as a training set, and a classification tree was generated by using Biomarker Pattern Software package. The validity of the classification tree was then challenged with a blind test set including another 65 CRC patients. Results. The software identified an average of 46 mass peaks/spectrum and 5 of the identified peaks at m/z 3,104, 3,781, 5,867, 7,970, and 9,290 were used to construct the classification tree. The classification tree separated effectively node-positive CRC patients from node-negative CRC patients, achieving a sensitivity of 94.29% and a specificity of 100.00%. The blind test challenged the model independently with a sensitivity of 91.43% a specificity of 96.67%. Conclusions. The results indicate that SELDI-TOF-MS can correctly distinguish node-positive CRC patients from node-negative ones and show great potential for preoperative screening for regional lymph node involvement of CRC.
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spelling pubmed-32551052012-01-17 Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns Fan, Nai-Jun Gao, Chun-Fang Wang, Xiu-Li Gastroenterol Res Pract Research Article Background. To explore the application of serum proteomic patterns for the preoperative detection of regional lymph node involvement of colorectal cancer (CRC). Methods. Serum samples were applied to immobilized metal affinity capture ProteinChip to generate mass spectra by Surface-Enhanced Laser Desorption/ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS). Proteomic spectra of serum samples from 70 node-positive CRC patients and 75 age- and gender-matched node-negative CRC patients were employed as a training set, and a classification tree was generated by using Biomarker Pattern Software package. The validity of the classification tree was then challenged with a blind test set including another 65 CRC patients. Results. The software identified an average of 46 mass peaks/spectrum and 5 of the identified peaks at m/z 3,104, 3,781, 5,867, 7,970, and 9,290 were used to construct the classification tree. The classification tree separated effectively node-positive CRC patients from node-negative CRC patients, achieving a sensitivity of 94.29% and a specificity of 100.00%. The blind test challenged the model independently with a sensitivity of 91.43% a specificity of 96.67%. Conclusions. The results indicate that SELDI-TOF-MS can correctly distinguish node-positive CRC patients from node-negative ones and show great potential for preoperative screening for regional lymph node involvement of CRC. Hindawi Publishing Corporation 2011 2011-12-29 /pmc/articles/PMC3255105/ /pubmed/22253617 http://dx.doi.org/10.1155/2011/784967 Text en Copyright © 2011 Nai-Jun Fan et al. https://creativecommons.org/licenses/by/3.0/ 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
Fan, Nai-Jun
Gao, Chun-Fang
Wang, Xiu-Li
Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns
title Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns
title_full Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns
title_fullStr Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns
title_full_unstemmed Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns
title_short Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns
title_sort identification of regional lymph node involvement of colorectal cancer by serum seldi proteomic patterns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3255105/
https://www.ncbi.nlm.nih.gov/pubmed/22253617
http://dx.doi.org/10.1155/2011/784967
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