2020
DOI: 10.1371/journal.pone.0227648
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Impact of long-term storage and freeze-thawing on eight circulating microRNAs in plasma samples

Abstract: Membership of the KORA study group is provided in the Acknowledgments.

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Cited by 43 publications
(27 citation statements)
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References 65 publications
(103 reference statements)
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“…In recent years, the research has been focused on liquid biopsies as a source of potential biomarkers for improving PCa diagnosis, prognosis, and patient management. The expression of miRNAs in serum, plasma, or urine is being eagerly studied for this purpose [ 19 , 20 , 21 ]. Still, there are almost no published studies on seminal plasma as a potential source of miRNA as a PCa biomarker.…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, the research has been focused on liquid biopsies as a source of potential biomarkers for improving PCa diagnosis, prognosis, and patient management. The expression of miRNAs in serum, plasma, or urine is being eagerly studied for this purpose [ 19 , 20 , 21 ]. Still, there are almost no published studies on seminal plasma as a potential source of miRNA as a PCa biomarker.…”
Section: Discussionmentioning
confidence: 99%
“…Among them, predictive models based on miRNAs have in theory higher chances to be robust and reproducible, since miRNAs can withstand numerous freeze-thaw cycles and long-term storage before degrading [ 111 ]. Several studies have identified miR-122 as a potential diagnostic biomarker.…”
Section: Transcriptomicsmentioning
confidence: 99%
“…miRNAs are detectable by polymerase chain reaction (PCR), offering rapid and highly sensitive detection in a matter of hours. miRNAs are resistant to degradation after days at room temperature (Mall et al, 2013), after numerous freeze-thaw cycles (Matias-Garcia et al, 2020) and even when total RNA integrity is compromised (Jung et al, 2010). Together, these attributes have led to intense investigation of their utility as noninvasive diagnostic biomarkers, spurring the detection of cancer (Paranjape et al, 2009), diabetes (Jiménez-Lucena et al, 2018), cardiovascular disease (Zhou et al, 2018) and other pathologies.…”
Section: Micrornamentioning
confidence: 99%