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Plasma extracellular RNA profiles in healthy and cancer patients
by
Dittmar, Rachel
, Kohli, Manish
, Huang, Xiaoyi
, Tsai, Susan
, Patel, Tushar
, Boardman, Lisa
, Woodcock, Mark
, Wang, Yuan
, Yuan, Tiezheng
, Wang, Liang
, Du, Meijun
in
38/91
/ 45
/ 45/23
/ 45/90
/ 631/208
/ 692/53
/ 692/53/2421
/ Adolescent
/ Adult
/ Aged
/ Aged, 80 and over
/ Biomarkers
/ Cancer
/ Case-Control Studies
/ Female
/ Gene Expression Profiling
/ High-Throughput Nucleotide Sequencing
/ Humanities and Social Sciences
/ Humans
/ Male
/ Mathematical models
/ MicroRNAs
/ Middle Aged
/ multidisciplinary
/ Multivariate analysis
/ Neoplasm Staging
/ Neoplasms - blood
/ Neoplasms - genetics
/ Neoplasms - pathology
/ Ribonucleic acid
/ RNA
/ RNA - blood
/ RNA - genetics
/ RNA, Messenger
/ Science
/ Sensitivity and Specificity
/ Statistical analysis
/ Statistical models
/ Vesicles
/ Young Adult
2016
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Plasma extracellular RNA profiles in healthy and cancer patients
by
Dittmar, Rachel
, Kohli, Manish
, Huang, Xiaoyi
, Tsai, Susan
, Patel, Tushar
, Boardman, Lisa
, Woodcock, Mark
, Wang, Yuan
, Yuan, Tiezheng
, Wang, Liang
, Du, Meijun
in
38/91
/ 45
/ 45/23
/ 45/90
/ 631/208
/ 692/53
/ 692/53/2421
/ Adolescent
/ Adult
/ Aged
/ Aged, 80 and over
/ Biomarkers
/ Cancer
/ Case-Control Studies
/ Female
/ Gene Expression Profiling
/ High-Throughput Nucleotide Sequencing
/ Humanities and Social Sciences
/ Humans
/ Male
/ Mathematical models
/ MicroRNAs
/ Middle Aged
/ multidisciplinary
/ Multivariate analysis
/ Neoplasm Staging
/ Neoplasms - blood
/ Neoplasms - genetics
/ Neoplasms - pathology
/ Ribonucleic acid
/ RNA
/ RNA - blood
/ RNA - genetics
/ RNA, Messenger
/ Science
/ Sensitivity and Specificity
/ Statistical analysis
/ Statistical models
/ Vesicles
/ Young Adult
2016
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Do you wish to request the book?
Plasma extracellular RNA profiles in healthy and cancer patients
by
Dittmar, Rachel
, Kohli, Manish
, Huang, Xiaoyi
, Tsai, Susan
, Patel, Tushar
, Boardman, Lisa
, Woodcock, Mark
, Wang, Yuan
, Yuan, Tiezheng
, Wang, Liang
, Du, Meijun
in
38/91
/ 45
/ 45/23
/ 45/90
/ 631/208
/ 692/53
/ 692/53/2421
/ Adolescent
/ Adult
/ Aged
/ Aged, 80 and over
/ Biomarkers
/ Cancer
/ Case-Control Studies
/ Female
/ Gene Expression Profiling
/ High-Throughput Nucleotide Sequencing
/ Humanities and Social Sciences
/ Humans
/ Male
/ Mathematical models
/ MicroRNAs
/ Middle Aged
/ multidisciplinary
/ Multivariate analysis
/ Neoplasm Staging
/ Neoplasms - blood
/ Neoplasms - genetics
/ Neoplasms - pathology
/ Ribonucleic acid
/ RNA
/ RNA - blood
/ RNA - genetics
/ RNA, Messenger
/ Science
/ Sensitivity and Specificity
/ Statistical analysis
/ Statistical models
/ Vesicles
/ Young Adult
2016
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Plasma extracellular RNA profiles in healthy and cancer patients
Journal Article
Plasma extracellular RNA profiles in healthy and cancer patients
2016
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Overview
Extracellular vesicles are selectively enriched in RNA that has potential as disease biomarkers. To systemically characterize circulating extracellular RNA (exRNA) profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 50 healthy individuals and 142 cancer patients. Of ~12.6 million raw reads for each individual, the number of mappable reads aligned to RNA references was ~5.4 million including miRNAs (~40.4%), piwiRNAs (~40.0%), pseudo-genes (~3.7%), lncRNAs (~2.4%), tRNAs (~2.1%) and mRNAs (~2.1%). By expression stability testing, we identified a set of miRNAs showing relatively consistent expression, which may serve as reference control for exRNA quantification. By performing multivariate analysis of covariance, we identified significant associations of these exRNAs with age, sex and different types of cancers. In particular, down-regulation of miR-125a-5p and miR-1343-3p showed an association with all cancer types tested (false discovery rate <0.05). We developed multivariate statistical models to predict cancer status with an area under the curve from 0.68 to 0.92 depending cancer type and staging. This is the largest RNA-seq study to date for profiling exRNA species, which has not only provided a baseline reference profile for circulating exRNA, but also revealed a set of RNA candidates for reference controls and disease biomarkers.
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