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SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers
RATIONALE: Surface‐Activated Chemical Ionization/Electrospray Ionization mass spectrometry (SACI/ESI‐MS) is a technique with high sensitivity and low noise that allows accurate biomarker discovery studies. We developed a dedicated SACI/ESI software, named SANIST, for both biomarker fingerprint data...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5049612/ https://www.ncbi.nlm.nih.gov/pubmed/26331920 http://dx.doi.org/10.1002/rcm.7270 |
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author | Albini, Adriana Briga, Daniela Conti, Matteo Bruno, Antonino Farioli, Daniela Canali, Sara Sogno, Ilaria D'Ambrosio, Gioacchino Consonni, Paolo Noonan, Douglas M. |
author_facet | Albini, Adriana Briga, Daniela Conti, Matteo Bruno, Antonino Farioli, Daniela Canali, Sara Sogno, Ilaria D'Ambrosio, Gioacchino Consonni, Paolo Noonan, Douglas M. |
author_sort | Albini, Adriana |
collection | PubMed |
description | RATIONALE: Surface‐Activated Chemical Ionization/Electrospray Ionization mass spectrometry (SACI/ESI‐MS) is a technique with high sensitivity and low noise that allows accurate biomarker discovery studies. We developed a dedicated SACI/ESI software, named SANIST, for both biomarker fingerprint data acquisition and as a diagnostic tool, using prostate cancer (PCa) as the disease of interest. METHODS: Liquid chromatography (LC)/SACI/ESI‐MS technology was employed to detect a potential biomarker panel for PCa disease prediction. Serum from patients with histologically confirmed or negative prostate biopsies for PCa was employed. The biomarker data (m/z or Thompson value, retention time and extraction mass chromatogram peak area) were stored in an ascii database. SANIST software allowed identification of potential biomarkers. A Bayesian scoring algorithm developed in house allowed sample separation based on comparison with samples in the database. RESULTS: Biomarker candidates from the carnitine family were detected at significantly lower levels in patients showing histologically confirmed PCa. Using these biomarkers, the SANIST scoring algorithm allowed separation of patients with PCa from biopsy negative subjects with high accuracy and sensitivity. CONCLUSIONS: SANIST was able to rapidly identify and perform a preliminary evaluation of the potential diagnostic efficiency of potential biomarkers for PCa. © 2015 The Authors. Rapid Communications in Mass Spectrometry published by John Wiley & Sons Ltd. |
format | Online Article Text |
id | pubmed-5049612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50496122016-10-06 SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers Albini, Adriana Briga, Daniela Conti, Matteo Bruno, Antonino Farioli, Daniela Canali, Sara Sogno, Ilaria D'Ambrosio, Gioacchino Consonni, Paolo Noonan, Douglas M. Rapid Commun Mass Spectrom Research Articles RATIONALE: Surface‐Activated Chemical Ionization/Electrospray Ionization mass spectrometry (SACI/ESI‐MS) is a technique with high sensitivity and low noise that allows accurate biomarker discovery studies. We developed a dedicated SACI/ESI software, named SANIST, for both biomarker fingerprint data acquisition and as a diagnostic tool, using prostate cancer (PCa) as the disease of interest. METHODS: Liquid chromatography (LC)/SACI/ESI‐MS technology was employed to detect a potential biomarker panel for PCa disease prediction. Serum from patients with histologically confirmed or negative prostate biopsies for PCa was employed. The biomarker data (m/z or Thompson value, retention time and extraction mass chromatogram peak area) were stored in an ascii database. SANIST software allowed identification of potential biomarkers. A Bayesian scoring algorithm developed in house allowed sample separation based on comparison with samples in the database. RESULTS: Biomarker candidates from the carnitine family were detected at significantly lower levels in patients showing histologically confirmed PCa. Using these biomarkers, the SANIST scoring algorithm allowed separation of patients with PCa from biopsy negative subjects with high accuracy and sensitivity. CONCLUSIONS: SANIST was able to rapidly identify and perform a preliminary evaluation of the potential diagnostic efficiency of potential biomarkers for PCa. © 2015 The Authors. Rapid Communications in Mass Spectrometry published by John Wiley & Sons Ltd. John Wiley and Sons Inc. 2015-08-26 2015-10-15 /pmc/articles/PMC5049612/ /pubmed/26331920 http://dx.doi.org/10.1002/rcm.7270 Text en © 2015 The Authors. Rapid Communications in Mass Spectrometry published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Albini, Adriana Briga, Daniela Conti, Matteo Bruno, Antonino Farioli, Daniela Canali, Sara Sogno, Ilaria D'Ambrosio, Gioacchino Consonni, Paolo Noonan, Douglas M. SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers |
title | SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers |
title_full | SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers |
title_fullStr | SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers |
title_full_unstemmed | SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers |
title_short | SANIST: a rapid mass spectrometric SACI/ESI data acquisition and elaboration platform for verifying potential candidate biomarkers |
title_sort | sanist: a rapid mass spectrometric saci/esi data acquisition and elaboration platform for verifying potential candidate biomarkers |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5049612/ https://www.ncbi.nlm.nih.gov/pubmed/26331920 http://dx.doi.org/10.1002/rcm.7270 |
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