Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Albini, Adriana, Briga, Daniela, Conti, Matteo, Bruno, Antonino, Farioli, Daniela, Canali, Sara, Sogno, Ilaria, D'Ambrosio, Gioacchino, Consonni, Paolo, Noonan, Douglas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
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
_version_ 1782457751355523072
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
work_keys_str_mv AT albiniadriana sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT brigadaniela sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT contimatteo sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT brunoantonino sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT fariolidaniela sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT canalisara sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT sognoilaria sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT dambrosiogioacchino sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT consonnipaolo sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers
AT noonandouglasm sanistarapidmassspectrometricsaciesidataacquisitionandelaborationplatformforverifyingpotentialcandidatebiomarkers