2019
DOI: 10.3390/cancers11060887
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Utility of Circulating Cell-Free RNA Analysis for the Characterization of Global Transcriptome Profiles of Multiple Myeloma Patients

Abstract: In this study, we evaluated the utility of extracellular RNA (exRNA) derived from the plasma of multiple myeloma (MM) patients for whole transcriptome characterization. exRNA from 10 healthy controls (HC), five newly diagnosed (NDMM), and 12 relapsed and refractory (RRMM) MM patients were analyzed and compared. We showed that ~45% of the exRNA genes were protein-coding genes and ~85% of the identified genes were covered >70%. Compared to HC, we identified 632 differentially expressed genes (DEGs) in MM pati… Show more

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Cited by 25 publications
(29 citation statements)
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References 72 publications
(75 reference statements)
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“…TPM (transcripts per million reads mapped) method was used to normalize the gene expression for each sample. The numbers of reads aligned to Eucalyptus genes were calculated by htseq-count, as described [55].…”
Section: Genome Mapping and Gene Expression Pro Lingmentioning
confidence: 99%
See 1 more Smart Citation
“…TPM (transcripts per million reads mapped) method was used to normalize the gene expression for each sample. The numbers of reads aligned to Eucalyptus genes were calculated by htseq-count, as described [55].…”
Section: Genome Mapping and Gene Expression Pro Lingmentioning
confidence: 99%
“…We next ltered the variants by the read depth (> 100) and obtained the nal variants for E. camaldulensis and E. grandis x urophylla samples. The variants were annotated by ANNOVAR, as previously described [55], and variants from noncoding regions and synonymous variants were discarded.…”
Section: Variant Callingmentioning
confidence: 99%
“…More recently, a study characterized the peripheral blood plasma transcriptomic profile of newly diagnosed and relapsed and refractory MM patients, and this was compared to that of healthy individuals [100]. The authors not only identified differences in the expression of protein-coding genes but also reported variations in the levels of some non-coding genes; these include antisense genes such as FAM83C-AS1, ZNF32-AS1, TMC3-AS1, and TAT-AS1, long intergenic noncoding RNA (LincRNA) such as LINC00863, LINC01123, LINC00349, LINC00677, and LINC00462, and microRNAs including miR-301A, miR-378H, miR-425, and miR-647 [100].…”
Section: Ev-ncrnas As Diagnostic and Prognostic Biomarkers In MMmentioning
confidence: 99%
“…TPM (transcripts per million reads mapped) method was used to normalize the gene expression in each sample. Numbers of reads aligned to the Eucalyptus genes were calculated by htseq-count, as described [54].…”
Section: Genome Mapping and Gene Expression Pro Lingmentioning
confidence: 99%
“…We next ltered the variants by the read depth (> 100) and obtained the nal variants for E. camaldulensis and E. grandis x urophylla samples. The variants were annotated by ANNOVAR, as previously described [54], and variants from noncoding regions and synonymous variants were discarded based on the annotation.…”
Section: Variant Callingmentioning
confidence: 99%