Literature DB >> 32732250

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

Ferdinando Cerciello1, Meena Choi2, Sara L Sinicropi-Yao3, Katie Lomeo3, Joseph M Amann3, Emanuela Felley-Bosco4, Rolf A Stahel5, Bruce W S Robinson6, Jenette Creaney6, Harvey I Pass7, Olga Vitek2, David P Carbone1.   

Abstract

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; P = 0.021).
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. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32732250      PMCID: PMC7541795          DOI: 10.1158/1055-9965.EPI-20-0543

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  58 in total

1.  Newborn screening by tandem mass spectrometry: gaining experience.

Authors:  L Sweetman
Journal:  Clin Chem       Date:  2001-11       Impact factor: 8.327

2.  Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.

Authors:  Brendan MacLean; Daniela M Tomazela; Nicholas Shulman; Matthew Chambers; Gregory L Finney; Barbara Frewen; Randall Kern; David L Tabb; Daniel C Liebler; Michael J MacCoss
Journal:  Bioinformatics       Date:  2010-02-09       Impact factor: 6.937

3.  The economic impact of false-positive cancer screens.

Authors:  Jennifer Elston Lafata; Janine Simpkins; Lois Lamerato; Laila Poisson; George Divine; Christine Cole Johnson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-12       Impact factor: 4.254

4.  Megakaryocyte potentiation factor cleaved from mesothelin precursor is a useful tumor marker in the serum of patients with mesothelioma.

Authors:  Masanori Onda; Satoshi Nagata; Mitchell Ho; Tapan K Bera; Raffit Hassan; Richard H Alexander; Ira Pastan
Journal:  Clin Cancer Res       Date:  2006-07-15       Impact factor: 12.531

Review 5.  Serum mesothelin for diagnosing malignant pleural mesothelioma: an individual patient data meta-analysis.

Authors:  Kevin Hollevoet; Johannes B Reitsma; Jenette Creaney; Bogdan D Grigoriu; Bruce W Robinson; Arnaud Scherpereel; Alfonso Cristaudo; Harvey I Pass; Kristiaan Nackaerts; José A Rodríguez Portal; Joachim Schneider; Thomas Muley; Francesca Di Serio; Paul Baas; Marco Tomasetti; Alex J Rai; Jan P van Meerbeeck
Journal:  J Clin Oncol       Date:  2012-03-12       Impact factor: 44.544

6.  Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.

Authors:  Jacob J Kennedy; Susan E Abbatiello; Kyunggon Kim; Ping Yan; Jeffrey R Whiteaker; Chenwei Lin; Jun Seok Kim; Yuzheng Zhang; Xianlong Wang; Richard G Ivey; Lei Zhao; Hophil Min; Youngju Lee; Myeong-Hee Yu; Eun Gyeong Yang; Cheolju Lee; Pei Wang; Henry Rodriguez; Youngsoo Kim; Steven A Carr; Amanda G Paulovich
Journal:  Nat Methods       Date:  2013-12-08       Impact factor: 28.547

7.  Identification of a seven glycopeptide signature for malignant pleural mesothelioma in human serum by selected reaction monitoring.

Authors:  Ferdinando Cerciello; Meena Choi; Annalisa Nicastri; Damaris Bausch-Fluck; Annemarie Ziegler; Olga Vitek; Emanuela Felley-Bosco; Rolf Stahel; Ruedi Aebersold; Bernd Wollscheid
Journal:  Clin Proteomics       Date:  2013-11-08       Impact factor: 3.988

8.  Clinical Utility of a Plasma Protein Classifier for Indeterminate Lung Nodules.

Authors:  Anil Vachani; Zane Hammoud; Steven Springmeyer; Neri Cohen; Dao Nguyen; Christina Williamson; Sandra Starnes; Stephen Hunsucker; Scott Law; Xiao-Jun Li; Alexander Porter; Paul Kearney
Journal:  Lung       Date:  2015-09-16       Impact factor: 2.584

9.  Fibulin-3 levels in malignant pleural mesothelioma are associated with prognosis but not diagnosis.

Authors:  Michaela B Kirschner; Emily Pulford; Mir Alireza Hoda; Anita Rozsas; Kim Griggs; Yuen Yee Cheng; J James B Edelman; Steven C Kao; Rebecca Hyland; Yawen Dong; Viktoria László; Thomas Klikovits; Michael P Vallely; Michael Grusch; Balazs Hegedus; Balazs Dome; Walter Klepetko; Nico van Zandwijk; Sonja Klebe; Glen Reid
Journal:  Br J Cancer       Date:  2015-08-11       Impact factor: 7.640

10.  Current Research and Opportunities to Address Environmental Asbestos Exposures.

Authors:  Danielle J Carlin; Theodore C Larson; Jean C Pfau; Stephen H Gavett; Arti Shukla; Aubrey Miller; Ronald Hines
Journal:  Environ Health Perspect       Date:  2015-08       Impact factor: 9.031

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