Status and perspectives of biomarker validation for diagnosis, stratification, and treatment

Publikation: Bidrag til tidsskriftLetterForskningfagfællebedømt

Standard

Status and perspectives of biomarker validation for diagnosis, stratification, and treatment. / Skov, J.; Kristiansen, K.; Jespersen, J.; Olesen, P.

I: Public Health, Bind 190, 2021, s. 173-175.

Publikation: Bidrag til tidsskriftLetterForskningfagfællebedømt

Harvard

Skov, J, Kristiansen, K, Jespersen, J & Olesen, P 2021, 'Status and perspectives of biomarker validation for diagnosis, stratification, and treatment', Public Health, bind 190, s. 173-175. https://doi.org/10.1016/j.puhe.2020.11.002

APA

Skov, J., Kristiansen, K., Jespersen, J., & Olesen, P. (2021). Status and perspectives of biomarker validation for diagnosis, stratification, and treatment. Public Health, 190, 173-175. https://doi.org/10.1016/j.puhe.2020.11.002

Vancouver

Skov J, Kristiansen K, Jespersen J, Olesen P. Status and perspectives of biomarker validation for diagnosis, stratification, and treatment. Public Health. 2021;190:173-175. https://doi.org/10.1016/j.puhe.2020.11.002

Author

Skov, J. ; Kristiansen, K. ; Jespersen, J. ; Olesen, P. / Status and perspectives of biomarker validation for diagnosis, stratification, and treatment. I: Public Health. 2021 ; Bind 190. s. 173-175.

Bibtex

@article{b302092e35b24862824ed2fd5588a97c,
title = "Status and perspectives of biomarker validation for diagnosis, stratification, and treatment",
abstract = "Objectives: The aim of this study was to discuss the status of and perspective for biomarker validation in view of the challenges imposed on national healthcare systems due to an increasing number of citizens with chronic diseases and new expensive drugs with effects that are sometimes poorly documented. The demand for a paradigm shift toward stratification of patients or even {\textquoteleft}personalized medicine{\textquoteright} (PM) is rising, and the implementation of such novel strategies has the potential to increase patient outcomes and cost efficiency of treatments. The implementation of PM depends on relevant and reliable biomarkers correlated to disease states, prognosis, or effect of treatment. Beyond biomarkers of disease, personalized prevention strategies (such as individualized nutrition guidance) are likely to depend on novel biomarkers. Study design: We discuss the current status of the use of biomarkers and the need for standardization and integration of biomarkers based on multi-omics approaches. Methods: We present representative cases from laboratory medicine, oncology, and nutrition, where present and emerging biomarkers have or may present opportunities for PM or prevention. Results: Biomarkers vary greatly in complexity, from single genomic mutations to metagenomic analyses of the composition of the gut microbiota and comprehensive analyses of metabolites, metabolomics. Using biomarkers for decision-making has previously often relied on measurements of single biomolecules. The current development now moves toward the use of multiple biomarkers requiring the use of machine learning or artificial intelligence. Still, the usefulness of biomarkers is often challenged by suboptimal validation, and the discovery of new biomarkers moves much faster than standardization efforts. To reap the potential benefits of personalization of treatment and prevention, healthcare systems and regulatory authorities need to focus on validation and standardization of biomarkers. Conclusion: There is a great public health need for better understanding of the usefulness, but also limitations, of biomarkers among policy makers, clinicians, and scientists, and efforts securing effective validation are key to the future use of novel sets of complex biomarkers.",
keywords = "Biomarker, Genomics, Metabolomics, Metagenomics, Multi-omics, Nutrigenomics, Personalized medicine, Prevention",
author = "J. Skov and K. Kristiansen and J. Jespersen and P. Olesen",
year = "2021",
doi = "10.1016/j.puhe.2020.11.002",
language = "English",
volume = "190",
pages = "173--175",
journal = "Public Health",
issn = "0033-3506",
publisher = "W.B.Saunders Co. Ltd.",

}

RIS

TY - JOUR

T1 - Status and perspectives of biomarker validation for diagnosis, stratification, and treatment

AU - Skov, J.

AU - Kristiansen, K.

AU - Jespersen, J.

AU - Olesen, P.

PY - 2021

Y1 - 2021

N2 - Objectives: The aim of this study was to discuss the status of and perspective for biomarker validation in view of the challenges imposed on national healthcare systems due to an increasing number of citizens with chronic diseases and new expensive drugs with effects that are sometimes poorly documented. The demand for a paradigm shift toward stratification of patients or even ‘personalized medicine’ (PM) is rising, and the implementation of such novel strategies has the potential to increase patient outcomes and cost efficiency of treatments. The implementation of PM depends on relevant and reliable biomarkers correlated to disease states, prognosis, or effect of treatment. Beyond biomarkers of disease, personalized prevention strategies (such as individualized nutrition guidance) are likely to depend on novel biomarkers. Study design: We discuss the current status of the use of biomarkers and the need for standardization and integration of biomarkers based on multi-omics approaches. Methods: We present representative cases from laboratory medicine, oncology, and nutrition, where present and emerging biomarkers have or may present opportunities for PM or prevention. Results: Biomarkers vary greatly in complexity, from single genomic mutations to metagenomic analyses of the composition of the gut microbiota and comprehensive analyses of metabolites, metabolomics. Using biomarkers for decision-making has previously often relied on measurements of single biomolecules. The current development now moves toward the use of multiple biomarkers requiring the use of machine learning or artificial intelligence. Still, the usefulness of biomarkers is often challenged by suboptimal validation, and the discovery of new biomarkers moves much faster than standardization efforts. To reap the potential benefits of personalization of treatment and prevention, healthcare systems and regulatory authorities need to focus on validation and standardization of biomarkers. Conclusion: There is a great public health need for better understanding of the usefulness, but also limitations, of biomarkers among policy makers, clinicians, and scientists, and efforts securing effective validation are key to the future use of novel sets of complex biomarkers.

AB - Objectives: The aim of this study was to discuss the status of and perspective for biomarker validation in view of the challenges imposed on national healthcare systems due to an increasing number of citizens with chronic diseases and new expensive drugs with effects that are sometimes poorly documented. The demand for a paradigm shift toward stratification of patients or even ‘personalized medicine’ (PM) is rising, and the implementation of such novel strategies has the potential to increase patient outcomes and cost efficiency of treatments. The implementation of PM depends on relevant and reliable biomarkers correlated to disease states, prognosis, or effect of treatment. Beyond biomarkers of disease, personalized prevention strategies (such as individualized nutrition guidance) are likely to depend on novel biomarkers. Study design: We discuss the current status of the use of biomarkers and the need for standardization and integration of biomarkers based on multi-omics approaches. Methods: We present representative cases from laboratory medicine, oncology, and nutrition, where present and emerging biomarkers have or may present opportunities for PM or prevention. Results: Biomarkers vary greatly in complexity, from single genomic mutations to metagenomic analyses of the composition of the gut microbiota and comprehensive analyses of metabolites, metabolomics. Using biomarkers for decision-making has previously often relied on measurements of single biomolecules. The current development now moves toward the use of multiple biomarkers requiring the use of machine learning or artificial intelligence. Still, the usefulness of biomarkers is often challenged by suboptimal validation, and the discovery of new biomarkers moves much faster than standardization efforts. To reap the potential benefits of personalization of treatment and prevention, healthcare systems and regulatory authorities need to focus on validation and standardization of biomarkers. Conclusion: There is a great public health need for better understanding of the usefulness, but also limitations, of biomarkers among policy makers, clinicians, and scientists, and efforts securing effective validation are key to the future use of novel sets of complex biomarkers.

KW - Biomarker

KW - Genomics

KW - Metabolomics

KW - Metagenomics

KW - Multi-omics

KW - Nutrigenomics

KW - Personalized medicine

KW - Prevention

U2 - 10.1016/j.puhe.2020.11.002

DO - 10.1016/j.puhe.2020.11.002

M3 - Letter

C2 - 33309006

AN - SCOPUS:85097466281

VL - 190

SP - 173

EP - 175

JO - Public Health

JF - Public Health

SN - 0033-3506

ER -

ID: 255349722