Literature DB >> 18723089

"Omics" data and levels of evidence for biomarker discovery.

Debashis Ghosh1, Laila M Poisson.   

Abstract

With the development of new technologies for assaying biological activity on a global basis in experimental samples, various new "-omics" signatures have been developed to predict disease progression. Such signatures hold the potential to alter the nature of clinical management of human disease. In this article, we describe some necessary statistical considerations needed to take these signatures from the discovery phase to a clinically useful assay. Much of the work discussed is in the area of cancer.

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Year:  2008        PMID: 18723089     DOI: 10.1016/j.ygeno.2008.07.006

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  31 in total

Review 1.  DNA damage-associated biomarkers in studying individual sensitivity to low-dose radiation from cardiovascular imaging.

Authors:  Won Hee Lee; Patricia K Nguyen; Dominik Fleischmann; Joseph C Wu
Journal:  Eur Heart J       Date:  2016-06-05       Impact factor: 29.983

2.  Biomarker identification of hepatocellular carcinoma using a methodical literature mining strategy.

Authors:  Nai-Wen Chang; Hong-Jie Dai; Yung-Yu Shih; Chi-Yang Wu; Mira Anne C Dela Rosa; Rofeamor P Obena; Yu-Ju Chen; Wen-Lian Hsu; Yen-Jen Oyang
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

Review 3.  'Unknown' proteins and 'orphan' enzymes: the missing half of the engineering parts list--and how to find it.

Authors:  Andrew D Hanson; Anne Pribat; Jeffrey C Waller; Valérie de Crécy-Lagard
Journal:  Biochem J       Date:  2009-12-14       Impact factor: 3.857

4.  Methodological deficits in diagnostic research using '-omics' technologies: evaluation of the QUADOMICS tool and quality of recently published studies.

Authors:  Lucy A Parker; Noemí Gómez Saez; Blanca Lumbreras; Miquel Porta; Ildefonso Hernández-Aguado
Journal:  PLoS One       Date:  2010-07-02       Impact factor: 3.240

5.  Dual-color proteomic profiling of complex samples with a microarray of 810 cancer-related antibodies.

Authors:  Christoph Schröder; Anette Jacob; Sarah Tonack; Tomasz P Radon; Martin Sill; Manuela Zucknick; Sven Rüffer; Eithne Costello; John P Neoptolemos; Tatjana Crnogorac-Jurcevic; Andrea Bauer; Kurt Fellenberg; Jörg D Hoheisel
Journal:  Mol Cell Proteomics       Date:  2010-02-16       Impact factor: 5.911

6.  Identification and validation of a Hedgehog pathway-based 3-gene prognostic signature for gastric cancers.

Authors:  Jianbing Wu; Xi Wang; Wei Lu
Journal:  Oncol Lett       Date:  2018-06-11       Impact factor: 2.967

7.  Metabolic profiles of serum samples from ground glass opacity represent potential diagnostic biomarkers for lung cancer.

Authors:  Jian-Zhong Li; Yuan-Yang Lai; Jian-Yong Sun; Li-Na Guan; Hong-Fei Zhang; Chen Yang; Yue-Feng Ma; Tao Liu; Wen Zhao; Xiao-Long Yan; Shao-Min Li
Journal:  Transl Lung Cancer Res       Date:  2019-08

8.  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

9.  Mining biomarker information in biomedical literature.

Authors:  Erfan Younesi; Luca Toldo; Bernd Müller; Christoph M Friedrich; Natalia Novac; Alexander Scheer; Martin Hofmann-Apitius; Juliane Fluck
Journal:  BMC Med Inform Decis Mak       Date:  2012-12-18       Impact factor: 2.796

10.  Personalized medicine: Has it started yet? A reconstruction of the early history.

Authors:  Frank Emmert-Streib
Journal:  Front Genet       Date:  2013-01-08       Impact factor: 4.599

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