@article{3033111,
    title = "tRNA Derivatives in Multiple Myeloma: Investigation of the Potential
Value of a tRNA-Derived Molecular Signature",
    author = "Karousi, Paraskevi and Papanota, Aristea-Maria and Artemaki, Pinelopi I. and and Liacos, Christine-Ivy and Patseas, Dimitrios and and Mavrianou-Koutsoukou, Nefeli and Liosi, Aikaterini-Anna and Kalioraki, and Maria-Anna and Ntanasis-Stathopoulos, Ioannis and Gavriatopoulou, Maria and and Kastritis, Efstathios and Dimopoulos, Meletios-Athanasios and and Scorilas, Andreas and Terpos, Evangelos and Kontos, Christos K.",
    journal = "BioMedicine",
    year = "2021",
    volume = "9",
    number = "12",
    publisher = "MDPI",
    issn = "2211-8039",
    doi = "10.3390/biomedicines9121811",
    keywords = "tRNA-derived RNA fragment (tRF); tRNA derivative (tDR); small non-coding
RNAs (sncRNAs); hematologic malignancy; plasma cell dyscrasia; bone
disease; molecular biomarker; prognosis; post-transcriptional regulator;
gene ontology (GO)",
    abstract = "Multiple myeloma (MM) is a hematologic malignancy arising from the
clonal proliferation of malignant plasma cells. tRNA-derived RNA
fragments (tRFs) constitute a class of small non-coding RNAs, deriving
from specific enzymatic cleavage of tRNAs. To the best of our knowledge,
this is one of few studies to uncover the potential clinical
significance of tRFs in MM. Total RNA was extracted from CD138+ plasma
cells of MM and smoldering MM patients, and in vitro polyadenylated.
First-strand cDNA synthesis was performed, priming from an
oligo-dT-adaptor sequence. Next, real-time quantitative PCR (qPCR)
assays were developed for the quantification of six tRFs. Biostatistical
analysis was performed to assess the results and in silico analysis was
conducted to predict the function of one of the tRFs. Our results showed
that elevated levels of five out of six tRFs are indicators of favorable
prognosis in MM, predicting prolonged overall survival (OS), while two
of them constitute potential molecular biomarkers of favorable prognosis
in terms of disease progression. Moreover, three tRFs could be used as
surrogate prognostic biomarkers along with the R-ISS staging system to
predict OS. In conclusion, tRFs show molecular biomarker utility in MM,
while their mechanisms of function merit further investigation."
}