Targeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer

Epithelial ovarian cancer (OC) is a disease with high mortality due to vague early clinical symptoms. Benign ovarian cysts are common and accurate diagnosis remains a challenge because of the molecular heterogeneity of OC. We set out to investigate whether the disease diversity seen in ovarian cyst...

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Autores principales: Leena Liljedahl, Johan Malmström, Björg Kristjansdottir, Sofia Waldemarson, Karin Sundfeldt
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:6709d14dd8e847cc97e3863bd9cd09a22021-11-25T17:03:02ZTargeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer10.3390/cancers132257132072-6694https://doaj.org/article/6709d14dd8e847cc97e3863bd9cd09a22021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5713https://doaj.org/toc/2072-6694Epithelial ovarian cancer (OC) is a disease with high mortality due to vague early clinical symptoms. Benign ovarian cysts are common and accurate diagnosis remains a challenge because of the molecular heterogeneity of OC. We set out to investigate whether the disease diversity seen in ovarian cyst fluids and tumor tissue could be detected in plasma. Using existing mass spectrometry (MS)-based proteomics data, we constructed a selected reaction monitoring (SRM) assay targeting peptides from 177 cancer-related and classical proteins associated with OC. Plasma from benign, borderline, and malignant ovarian tumors were used to verify expression (<i>n</i> = 74). Unsupervised and supervised multivariate analyses were used for comparisons. The peptide signatures revealed by the supervised multivariate analysis contained 55 to 77 peptides each. The predictive (Q2) values were higher for benign vs. low-grade serous Q2 = 0.615, mucinous Q2 = 0.611, endometrioid Q2 = 0.428 and high-grade serous Q2 = 0.375 (stage I–II Q2 = 0.515; stage III Q2 = 0.43) OC compared to benign vs. all malignant Q2 = 0.226. With targeted SRM MS we constructed a multiplexed assay for simultaneous detection and relative quantification of 185 peptides from 177 proteins in only 20 µL of plasma. With the approach of histology-specific peptide patterns, derived from pre-selected proteins, we may be able to detect not only high-grade serous OC but also the less common OC subtypes.Leena LiljedahlJohan MalmströmBjörg KristjansdottirSofia WaldemarsonKarin SundfeldtMDPI AGarticleepithelial ovarian cancer (OC)targeted selected reaction monitoring (SRM)proteomicsbiomarkersearly-stage diagnosticsNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5713, p 5713 (2021)
institution DOAJ
collection DOAJ
language EN
topic epithelial ovarian cancer (OC)
targeted selected reaction monitoring (SRM)
proteomics
biomarkers
early-stage diagnostics
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle epithelial ovarian cancer (OC)
targeted selected reaction monitoring (SRM)
proteomics
biomarkers
early-stage diagnostics
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Leena Liljedahl
Johan Malmström
Björg Kristjansdottir
Sofia Waldemarson
Karin Sundfeldt
Targeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer
description Epithelial ovarian cancer (OC) is a disease with high mortality due to vague early clinical symptoms. Benign ovarian cysts are common and accurate diagnosis remains a challenge because of the molecular heterogeneity of OC. We set out to investigate whether the disease diversity seen in ovarian cyst fluids and tumor tissue could be detected in plasma. Using existing mass spectrometry (MS)-based proteomics data, we constructed a selected reaction monitoring (SRM) assay targeting peptides from 177 cancer-related and classical proteins associated with OC. Plasma from benign, borderline, and malignant ovarian tumors were used to verify expression (<i>n</i> = 74). Unsupervised and supervised multivariate analyses were used for comparisons. The peptide signatures revealed by the supervised multivariate analysis contained 55 to 77 peptides each. The predictive (Q2) values were higher for benign vs. low-grade serous Q2 = 0.615, mucinous Q2 = 0.611, endometrioid Q2 = 0.428 and high-grade serous Q2 = 0.375 (stage I–II Q2 = 0.515; stage III Q2 = 0.43) OC compared to benign vs. all malignant Q2 = 0.226. With targeted SRM MS we constructed a multiplexed assay for simultaneous detection and relative quantification of 185 peptides from 177 proteins in only 20 µL of plasma. With the approach of histology-specific peptide patterns, derived from pre-selected proteins, we may be able to detect not only high-grade serous OC but also the less common OC subtypes.
format article
author Leena Liljedahl
Johan Malmström
Björg Kristjansdottir
Sofia Waldemarson
Karin Sundfeldt
author_facet Leena Liljedahl
Johan Malmström
Björg Kristjansdottir
Sofia Waldemarson
Karin Sundfeldt
author_sort Leena Liljedahl
title Targeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer
title_short Targeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer
title_full Targeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer
title_fullStr Targeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer
title_full_unstemmed Targeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer
title_sort targeted selected reaction monitoring verifies histology specific peptide signatures in epithelial ovarian cancer
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/6709d14dd8e847cc97e3863bd9cd09a2
work_keys_str_mv AT leenaliljedahl targetedselectedreactionmonitoringverifieshistologyspecificpeptidesignaturesinepithelialovariancancer
AT johanmalmstrom targetedselectedreactionmonitoringverifieshistologyspecificpeptidesignaturesinepithelialovariancancer
AT bjorgkristjansdottir targetedselectedreactionmonitoringverifieshistologyspecificpeptidesignaturesinepithelialovariancancer
AT sofiawaldemarson targetedselectedreactionmonitoringverifieshistologyspecificpeptidesignaturesinepithelialovariancancer
AT karinsundfeldt targetedselectedreactionmonitoringverifieshistologyspecificpeptidesignaturesinepithelialovariancancer
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