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Long Non-Coding Rnas (Lncrnas) As Prognostic and Diagnostic Biomarkers in Multiple Myeloma: A Systematic Review and Meta-Analysis Publisher Pubmed



Mardani M1, 2 ; Rashedi S1, 2 ; Keykhaei M1, 2 ; Farrokhpour H1, 2 ; Azadnajafabad S3, 4 ; Tavolinejad H3 ; Rezaei N2, 5, 6
Authors
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Authors Affiliations
  1. 1. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
  3. 3. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Surgery, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: Pathology Research and Practice Published:2022


Abstract

Background: Recently, emerging studies have demonstrated the utility of particular long non-coding RNAs (lncRNAs) as useful biomarkers for the diagnosis and prognosis of multiple myeloma (MM). We systematically reviewed the literature and conducted a meta-analysis to quantify the predictive effectiveness of lncRNAs in the prognosis and diagnosis of MM. Methods: A systematic search was performed in PubMed, Embase, and Web of Science until March 24, 2021. A meta-analysis was conducted to explore the correlation between the expression of lncRNAs and prognostic endpoints, including overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) or event-free survival (EFS). Moreover, the diagnostic performance of lncRNAs in MM was investigated by calculating accuracy metrics. Results: Overall, 43 studies were included in this systematic review, amongst which 36 studies assessed prognostic endpoints (including 5499 participants and 69 lncRNAs), and 11 studies evaluated diagnostic outcomes (with 1723 participants and 11 lncRNAs). The overexpression of CRNDE (hazard ratio (HR)= 1.94, 95% confidence interval (CI) 1.61, 2.34), NEAT1 (HR=1.97, 95%CI 1.36, 2.85), PVT1 (HR=1.92, 95%CI 1.25, 2.97), and TCF7 (HR=1.98, 95%CI 1.42, 2.76) was significantly associated with reduced OS. Furthermore, upregulation of PVT1 was significantly correlated with poor PFS (HR=1.86, 95%CI 1.29, 2.68). The pooled diagnostic performance of lncRNAs was as follows: sensitivity 0.78 (95%CI 0.73, 0.82), specificity 0.88 (95%CI 0.83, 0.92), and area under the curve 0.89 (95%CI 0.86, 0.92). Conclusions: Our results revealed the potential significance of lncRNAs in MM as diagnostic and prognostic markers, which may be the future targets for individualized therapy. © 2021 Elsevier GmbH
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