Literature DB >> 24966218

Design and Analysis for Studying microRNAs in Human Disease: A Primer on -Omic Technologies.

Viswam S Nair, Colin C Pritchard, Muneesh Tewari, John P A Ioannidis.   

Abstract

microRNAs (miRNAs) are fundamental to cellular biology. Although only approximately 22 bases long, miRNAs regulate complex processes in health and disease, including human cancer. Because miRNAs are highly stable in circulation when compared with several other classes of nucleic acids, they have generated intense interest as clinical biomarkers in diverse epidemiologic studies. As with other molecular biomarker fields, however, miRNA research has become beleaguered by pitfalls related to terminology and classification; procedural, assay, and study cohort heterogeneity; and methodological inconsistencies. Together, these issues have led to both false-positive and potentially false-negative miRNA associations. In this review, we summarize the biological rationale for studying miRNAs in human disease with a specific focus on circulating miRNAs, which highlight some of the most challenging topics in the field to date. Examples from lung cancer are used to illustrate the potential utility and some of the pitfalls in contemporary miRNA research. Although the field is in its infancy, several important lessons have been learned relating to cohort development, sample preparation, and statistical analysis that should be considered for future studies. The goal of this primer is to equip epidemiologists and clinical researchers with sound principles of study design and analysis when using miRNAs.
© The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  blood; cancer; circulating biomarkers; lung cancer; microRNA; review

Mesh:

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Year:  2014        PMID: 24966218      PMCID: PMC4082346          DOI: 10.1093/aje/kwu135

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  134 in total

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Journal:  Cell       Date:  2007-06-29       Impact factor: 41.582

9.  MicroRNA expression profiles of whole blood in lung adenocarcinoma.

Authors:  Santosh K Patnaik; Sai Yendamuri; Eric Kannisto; John C Kucharczuk; Sunil Singhal; Anil Vachani
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Journal:  BMC Genomics       Date:  2013-05-10       Impact factor: 3.969

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  21 in total

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3.  The Biochemical Cascades of the Human Pancreatic β-Cells: The Role of MicroRNAs.

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4.  A method for extracting and characterizing RNA from urine: For downstream PCR and RNAseq analysis.

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Review 7.  Precision medicine in pediatric oncology: Lessons learned and next steps.

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Review 8.  Planning for the Future of Epidemiology in the Era of Big Data and Precision Medicine.

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10.  Increased expression of microRNA-503 and reduced expression of kangai-1 in B-cell non-Hodgkin's lymphoma.

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