Literature DB >> 30702805

Implementation of Proteomics in Clinical Trials.

Tianlin He1,2.   

Abstract

The application of protein (or peptide) biomarkers in clinical studies is a dynamic, ever-growing field. The introduction of clinical proteomics/peptidomics, such as mass spectrometry-based assays and multiplexed antibody-based protein arrays, has reshaped the landscape of biomarker identification and validation, allowing the discovery of novel biomarkers at an unprecedented rate and reliability. To reflect the current status with respect to implementation of protein/peptide biomarkers, an investigation of the most recent (last 6 years) clinical studies from clinicaltrials.gov is presented. Forty-two clinical trials involving the direct use of protein or peptide biomarkers in patient stratification and/or disease diagnosis and prognosis are highlighted. Most of the clinical trials that include proteomics/protein assays are aiming toward implementation of non-invasive diagnostic tools for early detection, while many of the clinical trials are targeting to correlate the protein abundance with the risk of a disease event. Less in number are the studies in which the protein biomarkers are applied to stratify the patients for intervention. All the above areas of application are considered of great importance for improving disease management, in an era where implementation toward precision medicine is the desired outcome of proteomics biomarker research.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  clinical trials; diagnosis; prognosis; proteomic/protein assays; stratification

Mesh:

Substances:

Year:  2019        PMID: 30702805     DOI: 10.1002/prca.201800198

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  5 in total

Review 1.  Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation.

Authors:  Ernesto S Nakayasu; Marina Gritsenko; Paul D Piehowski; Yuqian Gao; Daniel J Orton; Athena A Schepmoes; Thomas L Fillmore; Brigitte I Frohnert; Marian Rewers; Jeffrey P Krischer; Charles Ansong; Astrid M Suchy-Dicey; Carmella Evans-Molina; Wei-Jun Qian; Bobbie-Jo M Webb-Robertson; Thomas O Metz
Journal:  Nat Protoc       Date:  2021-07-09       Impact factor: 17.021

2.  Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection.

Authors:  Christoph B Messner; Vadim Demichev; Daniel Wendisch; Laura Michalick; Matthew White; Anja Freiwald; Kathrin Textoris-Taube; Spyros I Vernardis; Anna-Sophia Egger; Marco Kreidl; Daniela Ludwig; Christiane Kilian; Federica Agostini; Aleksej Zelezniak; Charlotte Thibeault; Moritz Pfeiffer; Stefan Hippenstiel; Andreas Hocke; Christof von Kalle; Archie Campbell; Caroline Hayward; David J Porteous; Riccardo E Marioni; Claudia Langenberg; Kathryn S Lilley; Wolfgang M Kuebler; Michael Mülleder; Christian Drosten; Norbert Suttorp; Martin Witzenrath; Florian Kurth; Leif Erik Sander; Markus Ralser
Journal:  Cell Syst       Date:  2020-06-02       Impact factor: 10.304

Review 3.  Urinary Peptidomic Biomarkers in Kidney Diseases.

Authors:  Vittorio Sirolli; Luisa Pieroni; Lorenzo Di Liberato; Andrea Urbani; Mario Bonomini
Journal:  Int J Mol Sci       Date:  2019-12-21       Impact factor: 5.923

4.  Tracking Prostate Carcinogenesis over Time through Urine Proteome Profiling in an Animal Model: An Exploratory Approach.

Authors:  Alexandra Moreira-Pais; Rita Nogueira-Ferreira; Stephanie Reis; Susana Aveiro; António Barros; Tânia Melo; Bárbara Matos; José Alberto Duarte; Fernanda Seixas; Pedro Domingues; Francisco Amado; Margarida Fardilha; Paula A Oliveira; Rita Ferreira; Rui Vitorino
Journal:  Int J Mol Sci       Date:  2022-07-08       Impact factor: 6.208

Review 5.  Biomarkers in Neurodegenerative Diseases: Proteomics Spotlight on ALS and Parkinson's Disease.

Authors:  Rekha Raghunathan; Kathleen Turajane; Li Chin Wong
Journal:  Int J Mol Sci       Date:  2022-08-18       Impact factor: 6.208

  5 in total

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