Literature DB >> 20515269

What is a biomarker? Research investments and lack of clinical integration necessitate a review of biomarker terminology and validation schema.

Adam S Ptolemy1, Nader Rifai.   

Abstract

A continual trend of annual growth can be seen within research devoted to the discovery and validation of disease biomarkers within both the natural and clinical sciences. This expansion of intellectual endeavours was quantified through database searches of (a) research grant awards provided by the various branches of the National Institutes of Health (NIH) and (b) academic publications. A search of awards presented between 1986 and 2009 revealed a total of 28,856 grants awarded by the NIH containing the term "biomarker". The total funds for these awards in 2008 and 2009 alone were over $2.5 billion. During the same respective time frames, searches of "biomarker" and either "discovery", "genomics", "proteomics" or "metabolomics" yielded a total of 4,928 NIH grants whose combined funding exceeded $1.2 billion. The derived trend in NIH awards paralleled the annual expansion in "biomarker" literature. A PubMed search for the term, between 1990 and 2009, revealed a total of 441,510 published articles, with 38,457 published in 2008. These enormous investments and academic outputs however have not translated into the expected integration of new biomarkers for patient care. For example no proteomics derived biomarkers are currently being utilized in routine clinical management. This translational chasm necessitates a review of the previously proposed biomarker definitions and evaluation schema. A subsequent discussion of both the analytical and pre-analytical considerations for such research is also presented within. This required knowledge should aid scientists in their pursuit and validation of new biological markers of disease.

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Year:  2010        PMID: 20515269     DOI: 10.3109/00365513.2010.493354

Source DB:  PubMed          Journal:  Scand J Clin Lab Invest Suppl        ISSN: 0085-591X


  24 in total

1.  Metabolic profiling for the detection of bladder cancer.

Authors:  Que N Van; Timothy D Veenstra; Haleem J Issaq
Journal:  Curr Urol Rep       Date:  2011-02       Impact factor: 3.092

2.  Teaming up for biomarker future. Many problems still hinder the use of biomarkers in clinical practice, but new public-private partnerships could improve the situation.

Authors:  Andrea Rinaldi
Journal:  EMBO Rep       Date:  2011-06       Impact factor: 8.807

Review 3.  Biomarker development for hepatocellular carcinoma early detection: current and future perspectives.

Authors:  Shreya Sengupta; Neehar D Parikh
Journal:  Hepat Oncol       Date:  2017-11-17

4.  Design and application of a data-independent precursor and product ion repository.

Authors:  Konstantinos Thalassinos; Johannes P C Vissers; Stefan Tenzer; Yishai Levin; J Will Thompson; David Daniel; Darrin Mann; Mark R DeLong; M Arthur Moseley; Antoine H America; Andrew K Ottens; Greg S Cavey; Georgios Efstathiou; James H Scrivens; James I Langridge; Scott J Geromanos
Journal:  J Am Soc Mass Spectrom       Date:  2012-07-31       Impact factor: 3.109

Review 5.  New and emerging biomarkers in cardiovascular disease.

Authors:  Leah E Cahill; Monica L Bertoia; Sarah A Aroner; Kenneth J Mukamal; Majken K Jensen
Journal:  Curr Diab Rep       Date:  2015-11       Impact factor: 4.810

6.  Identification and functional characterization of microRNAs reveal a potential role in gastric cancer progression.

Authors:  C-Y Li; G-Y Liang; W-Z Yao; J Sui; X Shen; Y-Q Zhang; H Peng; W-W Hong; Y-C Ye; Z-Y Zhang; W-H Zhang; L-H Yin; Y-P Pu
Journal:  Clin Transl Oncol       Date:  2016-05-12       Impact factor: 3.405

7.  Emergence of pathway-level composite biomarkers from converging gene set signals of heterogeneous transcriptomic responses.

Authors:  Samir Rachid Zaim; Qike Li; A Grant Schissler; Yves A Lussier
Journal:  Pac Symp Biocomput       Date:  2018

8.  Accounting for control mislabeling in case-control biomarker studies.

Authors:  Mattias Rantalainen; Chris C Holmes
Journal:  J Proteome Res       Date:  2011-11-08       Impact factor: 4.466

9.  Modeling factors critical for implementation of precision medicine at health systems-level: an IRT approach.

Authors:  John Jo Mogaka; Moses J Chimbari
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

10.  The implications of biomarker evidence for systematic reviews.

Authors:  Miew Keen Choong; Guy Tsafnat
Journal:  BMC Med Res Methodol       Date:  2012-11-22       Impact factor: 4.615

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