Increased Plasma Levels of lncRNAs LINC01268, GAS5 and MALAT1 Correlate with Negative Prognostic Factors in Myelofibrosis

Author:

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

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 MALAT1 (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.

Funder

Associazione Italiana per la Ricerca sul Cancro

Ministero della Salute

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3