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Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery

Despite many years of studies, ovarian cancer remains one of the top ten cancers worldwide. Its high mortality rate is mainly due to lack of sufficient diagnostic methods. For this reason, our research focused on the identification of blood markers whose appearance would precede the clinical manifes...

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Autores principales: Swiatly, Agata, Horala, Agnieszka, Matysiak, Jan, Hajduk, Joanna, Nowak-Markwitz, Ewa, Kokot, Zenon J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121953/
https://www.ncbi.nlm.nih.gov/pubmed/30065196
http://dx.doi.org/10.3390/ijms19082240
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author Swiatly, Agata
Horala, Agnieszka
Matysiak, Jan
Hajduk, Joanna
Nowak-Markwitz, Ewa
Kokot, Zenon J.
author_facet Swiatly, Agata
Horala, Agnieszka
Matysiak, Jan
Hajduk, Joanna
Nowak-Markwitz, Ewa
Kokot, Zenon J.
author_sort Swiatly, Agata
collection PubMed
description Despite many years of studies, ovarian cancer remains one of the top ten cancers worldwide. Its high mortality rate is mainly due to lack of sufficient diagnostic methods. For this reason, our research focused on the identification of blood markers whose appearance would precede the clinical manifestation of the disease. ITRAQ-tagging (isobaric Tags for Relative and Absolute Quantification) coupled with mass spectrometry technology was applied. Three groups of samples derived from patients with: ovarian cancer, benign ovarian tumor, and healthy controls, were examined. Mass spectrometry analysis allowed for highlighting the dysregulation of several proteins associated with ovarian cancer. Further validation of the obtained results indicated that five proteins (Serotransferrin, Amyloid A1, Hemopexin, C-reactive protein, Albumin) were differentially expressed in ovarian cancer group. Interestingly, the addition of Albumin, Serotransferrin, and Amyloid A1 to CA125 (cancer antigen 125) and HE4 (human epididymis protein4) improved the diagnostic performance of the model discriminating between benign and malignant tumors. Identified proteins shed light on the molecular signaling pathways that are associated with ovarian cancer development and should be further investigated in future studies. Our findings indicate five proteins with a strong potential to use in a multimarker test for screening and detection of ovarian cancer.
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spelling pubmed-61219532018-09-07 Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery Swiatly, Agata Horala, Agnieszka Matysiak, Jan Hajduk, Joanna Nowak-Markwitz, Ewa Kokot, Zenon J. Int J Mol Sci Article Despite many years of studies, ovarian cancer remains one of the top ten cancers worldwide. Its high mortality rate is mainly due to lack of sufficient diagnostic methods. For this reason, our research focused on the identification of blood markers whose appearance would precede the clinical manifestation of the disease. ITRAQ-tagging (isobaric Tags for Relative and Absolute Quantification) coupled with mass spectrometry technology was applied. Three groups of samples derived from patients with: ovarian cancer, benign ovarian tumor, and healthy controls, were examined. Mass spectrometry analysis allowed for highlighting the dysregulation of several proteins associated with ovarian cancer. Further validation of the obtained results indicated that five proteins (Serotransferrin, Amyloid A1, Hemopexin, C-reactive protein, Albumin) were differentially expressed in ovarian cancer group. Interestingly, the addition of Albumin, Serotransferrin, and Amyloid A1 to CA125 (cancer antigen 125) and HE4 (human epididymis protein4) improved the diagnostic performance of the model discriminating between benign and malignant tumors. Identified proteins shed light on the molecular signaling pathways that are associated with ovarian cancer development and should be further investigated in future studies. Our findings indicate five proteins with a strong potential to use in a multimarker test for screening and detection of ovarian cancer. MDPI 2018-07-31 /pmc/articles/PMC6121953/ /pubmed/30065196 http://dx.doi.org/10.3390/ijms19082240 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Swiatly, Agata
Horala, Agnieszka
Matysiak, Jan
Hajduk, Joanna
Nowak-Markwitz, Ewa
Kokot, Zenon J.
Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery
title Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery
title_full Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery
title_fullStr Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery
title_full_unstemmed Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery
title_short Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery
title_sort understanding ovarian cancer: itraq-based proteomics for biomarker discovery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121953/
https://www.ncbi.nlm.nih.gov/pubmed/30065196
http://dx.doi.org/10.3390/ijms19082240
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