Increased plasma levels of lncrnas linc01268, gas5 and malat1 correlate with negative prognostic factors in myelofibrosis

Sebastian Fantini, Sebastiano Rontauroli, Stefano Sartini, Margherita Mirabile, Elisa Bianchi, Filippo Badii, Monica Maccaferri, Paola Guglielmelli, Tiziana Ottone, Raffaele Palmieri, Elena Genovese, Chiara Carretta, Sandra Parenti, Selene Mallia, Lara Tavernari, Costanza Salvadori, Francesca Gesullo, Chiara Maccari, Michela Zizza, Alexis GrandeSilvia Salmoiraghi, Barbara Mora, Leonardo Potenza, Vittorio Rosti, Francesco Passamonti, Alessandro Rambaldi, Maria Teresa Voso, Cristina Mecucci, Enrico Tagliafico, Mario Luppi, Alessandro Maria Vannucchi, Rossella Manfredini

Research output: Contribution to journalArticlepeer-review

Abstract

Long non‐coding RNAs (lncRNAs) have been recently described as key mediators in the development of hematological malignancies. In the last years, circulating lncRNAs have been proposed as a new class of non‐invasive biomarkers for cancer diagnosis and prognosis and to predict treatment response. The present study is aimed to investigate the potential of circulating lncRNAs as non‐invasive prognostic biomarkers in myelofibrosis (MF), the most severe among Philadelphia-negative myeloproliferative neoplasms. We detected increased levels of seven circulating lncRNAs in plasma samples of MF patients (n = 143), compared to healthy controls (n = 65). Among these, high levels of LINC01268, MALAT1 or GAS5 correlate with detrimental clinical variables, such as high count of leukocytes and CD34+ cells, severe grade of bone marrow fibrosis and presence of splenomegaly. Strikingly, high plasma levels of LINC01268 (p = 0.0018), GAS5 (p = 0.0008) or MA‐ LAT1 (p = 0.0348) are also associated with a poor overall‐survival while high levels of LINC01268 correlate with a shorter leukemia‐free‐survival. Finally, multivariate analysis demonstrated that the plasma level of LINC01268 is an independent prognostic variable, suggesting that, if confirmed in future in an independent patients’ cohort, it could be used for further studies to design an updated classification model for MF patients.

Original languageEnglish
Article number4744
JournalCancers
Volume13
Issue number19
DOIs
Publication statusPublished - Oct 2021

Keywords

  • Biomarkers
  • LncRNAs
  • MPN
  • Myelofibrosis
  • Prognosis

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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