Verification of a Blood-Based Targeted Proteomics Signature for Malignant Pleural Mesothelioma.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
10 2020
Historique:
received: 10 04 2020
revised: 18 06 2020
accepted: 27 07 2020
pubmed: 1 8 2020
medline: 22 12 2021
entrez: 1 8 2020
Statut: ppublish

Résumé

We have verified a mass spectrometry (MS)-based targeted proteomics signature for the detection of malignant pleural mesothelioma (MPM) from the blood. A seven-peptide biomarker MPM signature by targeted proteomics in serum was identified in a previous independent study. Here, we have verified the predictive accuracy of a reduced version of that signature, now composed of six-peptide biomarkers. We have applied liquid chromatography-selected reaction monitoring (LC-SRM), also known as multiple-reaction monitoring (MRM), for the investigation of 402 serum samples from 213 patients with MPM and 189 cancer-free asbestos-exposed donors from the United States, Australia, and Europe. Each of the biomarkers composing the signature was independently informative, with no apparent functional or physical relation to each other. The multiplexing possibility offered by MS proteomics allowed their integration into a single signature with a higher discriminating capacity than that of the single biomarkers alone. The strategy allowed in this way to increase their potential utility for clinical decisions. The signature discriminated patients with MPM and asbestos-exposed donors with AUC of 0.738. For early-stage MPM, AUC was 0.765. This signature was also prognostic, and Kaplan-Meier analysis showed a significant difference between high- and low-risk groups with an HR of 1.659 (95% CI, 1.075-2.562; Targeted proteomics allowed the development of a multianalyte signature with diagnostic and prognostic potential for MPM from the blood. The proteomic signature represents an additional diagnostic approach for informing clinical decisions for patients at risk for MPM.

Sections du résumé

BACKGROUND
We have verified a mass spectrometry (MS)-based targeted proteomics signature for the detection of malignant pleural mesothelioma (MPM) from the blood.
METHODS
A seven-peptide biomarker MPM signature by targeted proteomics in serum was identified in a previous independent study. Here, we have verified the predictive accuracy of a reduced version of that signature, now composed of six-peptide biomarkers. We have applied liquid chromatography-selected reaction monitoring (LC-SRM), also known as multiple-reaction monitoring (MRM), for the investigation of 402 serum samples from 213 patients with MPM and 189 cancer-free asbestos-exposed donors from the United States, Australia, and Europe.
RESULTS
Each of the biomarkers composing the signature was independently informative, with no apparent functional or physical relation to each other. The multiplexing possibility offered by MS proteomics allowed their integration into a single signature with a higher discriminating capacity than that of the single biomarkers alone. The strategy allowed in this way to increase their potential utility for clinical decisions. The signature discriminated patients with MPM and asbestos-exposed donors with AUC of 0.738. For early-stage MPM, AUC was 0.765. This signature was also prognostic, and Kaplan-Meier analysis showed a significant difference between high- and low-risk groups with an HR of 1.659 (95% CI, 1.075-2.562;
CONCLUSIONS
Targeted proteomics allowed the development of a multianalyte signature with diagnostic and prognostic potential for MPM from the blood.
IMPACT
The proteomic signature represents an additional diagnostic approach for informing clinical decisions for patients at risk for MPM.

Identifiants

pubmed: 32732250
pii: 1055-9965.EPI-20-0543
doi: 10.1158/1055-9965.EPI-20-0543
pmc: PMC7541795
mid: NIHMS1617211
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1973-1982

Subventions

Organisme : NCI NIH HHS
ID : U01 CA111295
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA214195
Pays : United States

Informations de copyright

©2020 American Association for Cancer Research.

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Auteurs

Ferdinando Cerciello (F)

James Thoracic Center, James Cancer Center, The Ohio State University Medical Center, Columbus, Ohio. ferdinando.cerciello@gmail.com david.carbone@osumc.edu.

Meena Choi (M)

College of Computer and Information Science, Northeastern University, Boston, Massachusetts.

Sara L Sinicropi-Yao (SL)

James Thoracic Center, James Cancer Center, The Ohio State University Medical Center, Columbus, Ohio.

Katie Lomeo (K)

James Thoracic Center, James Cancer Center, The Ohio State University Medical Center, Columbus, Ohio.

Joseph M Amann (JM)

James Thoracic Center, James Cancer Center, The Ohio State University Medical Center, Columbus, Ohio.

Emanuela Felley-Bosco (E)

Laboratory of Molecular Oncology, Division of Thoracic Surgery, University Hospital Zürich, Zürich, Switzerland.

Rolf A Stahel (RA)

Department of Oncology, Center of Hematology and Oncology, Comprehensive Cancer Center Zürich, University Hospital Zürich, Zürich, Switzerland.

Bruce W S Robinson (BWS)

National Centre for Asbestos Related Disease, University of Western Australia, School of Medicine and Pharmacology, Nedlands, Western Australia.

Jenette Creaney (J)

National Centre for Asbestos Related Disease, University of Western Australia, School of Medicine and Pharmacology, Nedlands, Western Australia.

Harvey I Pass (HI)

New York University, Langone Medical Center, New York, New York.

Olga Vitek (O)

College of Computer and Information Science, Northeastern University, Boston, Massachusetts.

David P Carbone (DP)

James Thoracic Center, James Cancer Center, The Ohio State University Medical Center, Columbus, Ohio. ferdinando.cerciello@gmail.com david.carbone@osumc.edu.

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