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Improved classification of breast cancer peptide and protein profiles by combining two serum workup procedures.

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Τίτλος: Improved classification of breast cancer peptide and protein profiles by combining two serum workup procedures.
Συγγραφείς: Velstra, Berit, Burgt, Yuri, Mertens, Bart, Mesker, Wilma, Deelder, André, Tollenaar, Rob
Πηγή: Journal of Cancer Research & Clinical Oncology; Dec2012, Vol. 138 Issue 12, p1983-1992, 10p
Θεματικοί όροι: Breast cancer diagnosis, Proteomics, Blood serum analysis, Biomarkers, Early detection of cancer, Matrix-assisted laser desorption-ionization
Περίληψη: Purpose: Detection of breast cancer at early stage increases patient's survival. Mass spectrometry-based protein analysis of serum samples is a promising approach to obtain biomarker profiles for early detection. A combination of commonly applied solid-phase extraction procedures for clean-up may increase the number of detectable peptides and proteins. In this study, we have evaluated whether the classification performance of breast cancer profiles improves by using two serum workup procedures. Methods: Serum samples from 105 breast cancer patients and 202 healthy volunteers were processed according to a standardized protocol implemented on a high-end liquid-handling robot. Peptide and protein enrichments were carried out using weak-cation exchange (WCX) and reversed-phase (RP) C18 magnetic beads. Profiles were acquired on a matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometer. In this way, two different biomarker profiles were obtained for each serum sample, yielding a WCX- and RPC18-dataset. Results: The profiles were statistically evaluated with double cross-validation. Classification results of WCX- and RPC18-datasets were determined for each set separately and for the combination of both sets. Sensitivity and specificity were 82 and 87 % (WCX) and 73 and 93 % (RPC18) for the individual workup procedures. These values increased up to 84 and 95 %, respectively, upon combining the data. Conclusion: It was found that MALDI-TOF peptide and protein profiles can be used for classification of breast cancer with high sensitivity and specificity. The classification performance even improved when two workup procedures were applied, since these provide a greater number of features (proteins). [ABSTRACT FROM AUTHOR]
Copyright of Journal of Cancer Research & Clinical Oncology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  – Url: https://dx.doi.org/doi:10.1007/s00432-012-1273-4
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  Data: Improved classification of breast cancer peptide and protein profiles by combining two serum workup procedures.
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  Data: <searchLink fieldCode="AR" term="%22Velstra%2C+Berit%22">Velstra, Berit</searchLink><br /><searchLink fieldCode="AR" term="%22Burgt%2C+Yuri%22">Burgt, Yuri</searchLink><br /><searchLink fieldCode="AR" term="%22Mertens%2C+Bart%22">Mertens, Bart</searchLink><br /><searchLink fieldCode="AR" term="%22Mesker%2C+Wilma%22">Mesker, Wilma</searchLink><br /><searchLink fieldCode="AR" term="%22Deelder%2C+André%22">Deelder, André</searchLink><br /><searchLink fieldCode="AR" term="%22Tollenaar%2C+Rob%22">Tollenaar, Rob</searchLink>
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  Data: Journal of Cancer Research & Clinical Oncology; Dec2012, Vol. 138 Issue 12, p1983-1992, 10p
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  Data: <searchLink fieldCode="DE" term="%22Breast+cancer+diagnosis%22">Breast cancer diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Proteomics%22">Proteomics</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+serum+analysis%22">Blood serum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Early+detection+of+cancer%22">Early detection of cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Matrix-assisted+laser+desorption-ionization%22">Matrix-assisted laser desorption-ionization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Detection of breast cancer at early stage increases patient's survival. Mass spectrometry-based protein analysis of serum samples is a promising approach to obtain biomarker profiles for early detection. A combination of commonly applied solid-phase extraction procedures for clean-up may increase the number of detectable peptides and proteins. In this study, we have evaluated whether the classification performance of breast cancer profiles improves by using two serum workup procedures. Methods: Serum samples from 105 breast cancer patients and 202 healthy volunteers were processed according to a standardized protocol implemented on a high-end liquid-handling robot. Peptide and protein enrichments were carried out using weak-cation exchange (WCX) and reversed-phase (RP) C18 magnetic beads. Profiles were acquired on a matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometer. In this way, two different biomarker profiles were obtained for each serum sample, yielding a WCX- and RPC18-dataset. Results: The profiles were statistically evaluated with double cross-validation. Classification results of WCX- and RPC18-datasets were determined for each set separately and for the combination of both sets. Sensitivity and specificity were 82 and 87 % (WCX) and 73 and 93 % (RPC18) for the individual workup procedures. These values increased up to 84 and 95 %, respectively, upon combining the data. Conclusion: It was found that MALDI-TOF peptide and protein profiles can be used for classification of breast cancer with high sensitivity and specificity. The classification performance even improved when two workup procedures were applied, since these provide a greater number of features (proteins). [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Cancer Research & Clinical Oncology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2012
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