2021
DOI: 10.1111/bjh.17734
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MiR‐22, a serum predictor of poor outcome and therapy response in diffuse large B‐cell lymphoma patients

Abstract: Diffuse large B-cell lymphoma (DLBCL) is an aggressive, heterogeneous neoplasm where prognostication and therapeutic decision are challenging. The available prognostic tools are not able to identify all patients refractory to treatment. MicroRNAs, small RNAs frequently deregulated in cancer, stably circulate in biofluids, representing interesting candidates for non-invasive biomarkers. Here we validated serum miR-22, an evolutionarily conserved microRNA, as a prognostic/predictive biomarker in DLBCL. Moreover,… Show more

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Cited by 7 publications
(2 citation statements)
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“…This finding is in concordance with a previous study in which extracellular mRNA of CCND2, BCL2, MYC, LMO2, and BCL6 was detected in only 14%, 10%, 10%, 10%, and 5% of DLBCL plasma samples, respectively, but in all of the matched tissue samples (40). Similar discrepancies have been reported for non-coding RNAs, in which no correlation between the EV-derived and the tissue derived miRNA repertoire, or even an opposite miRNA expression profile in serum versus matched tumor tissues was demonstrated (59,60). Potential reasons include variability in (vesicle-mediated) secretion or passive release of RNA molecules in the bloodstream, differences in the rate and manner of degradation, and the shedding of these markers from other tissues besides the tumor compartment.…”
Section: Discussionsupporting
confidence: 54%
“…This finding is in concordance with a previous study in which extracellular mRNA of CCND2, BCL2, MYC, LMO2, and BCL6 was detected in only 14%, 10%, 10%, 10%, and 5% of DLBCL plasma samples, respectively, but in all of the matched tissue samples (40). Similar discrepancies have been reported for non-coding RNAs, in which no correlation between the EV-derived and the tissue derived miRNA repertoire, or even an opposite miRNA expression profile in serum versus matched tumor tissues was demonstrated (59,60). Potential reasons include variability in (vesicle-mediated) secretion or passive release of RNA molecules in the bloodstream, differences in the rate and manner of degradation, and the shedding of these markers from other tissues besides the tumor compartment.…”
Section: Discussionsupporting
confidence: 54%
“…Diverging miR content can be revealing for predicting patient outcomes ( 163 ). Other cargo components were shown to have easily quantifiable differences such as ncRNA species ( 164 ), mRNA ( 165 167 ), proteins ( 168 171 ) and dsDNA ( 172 ) that could guide the treatment strategy, estimate disease progression ( 173 ), establishing a prognosis ( 174 ), indicate treatment response or even detect minimal residual disease (MRD) ( 174 181 ).…”
Section: Evs and Their Contents As Biomarkersmentioning
confidence: 99%