Long non‐coding RNA as potential diagnostic markers for acute myeloid leukemia: A systematic review and meta‐analysis

Author:

Solomon Yenealem1ORCID,Berhan Ayenew1,Almaw Andargachew1ORCID,Ersino Tamirat2,Damtie Shewaneh1,Kiros Teklehaimanot1,Fentie Alemie1,Chanie Ermias Sisay3,Dessie Anteneh Mengist4,Alemayehu Ermiyas5

Affiliation:

1. Department of Medical Laboratory Science, College of Health Sciences Debre Tabor University Debre Tabor Ethiopia

2. School of Medical Laboratory Science, College of Health Science Wolaita Sodo University Wolaita Sodo Ethiopia

3. Department of Pediatrics and Child Health Nursing, College of Health sciences Debre Tabor University Debre Tabor Ethiopia

4. Department of Public Health, College of Health Sciences Debre Tabor University Debre Tabor Ethiopia

5. Department of Medical Laboratory Sciences, College of Medicine and Health Sciences Wollo University Dessie Ethiopia

Abstract

AbstractBackgroundAcute myeloid leukemia (AML) is aggressive type of hematological malignancy. Its poses challenges in early diagnosis, necessitating the identification of an effective biomarker. This study aims to assess the diagnostic accuracy of long noncoding RNAs (lncRNA) in the diagnosis of AML through a meta‐analysis. The study is registered on the PROSPERO website with the number 493518.MethodA literature search was conducted in the PubMed, Embase, Hinari, and the Scopus databases to identify relevant studies. We pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristics (ROC) using Stata 14.1 software. Heterogeneity between studies was determined through the I2 statistic and Cochran‐Q test. A random effect model was chosen due to significant heterogeneity among included studies. Meta‐regression and subgroup analysis were performed to assess the potential source of heterogeneity. Furthermore, potential publication bias was estimated using Deek's funnel plot asymmetry test.ResultsA total of 14 articles covering 19 studies were included in this meta‐analysis comprising 1588 AML patients and 529 healthy participants. The overall pooled sensitivity, specificity, PLR, NLR, DOR, and the area under the summary ROC curve were 0.85 (95% CI = 0.78–0.91), 0.82 (95% CI = 0.72–0.89), 4.7 (95% CI = 2.9–7.4), 0.18 (95% CI = 0.12–0.28), 26 (95% CI = 12–53), and 0.90 (95% CI = 0.87–0.93), respectively. Moreover, lncRNAs from non‐bone marrow mononuclear cells (BMMC) had superior diagnostic value with pooled sensitivity, specificity, and AUC were 0.93, 0.82, and 0.95, respectively.ConclusionThis meta‐analysis demonstrated that circulating lncRNAs can serve as potential diagnostic markers for AML. High accuracy of diagnosis was observed in non‐BMMC lncRNAs, given cutoff value, and the GADPH internal reference gene used. However, further studies with large sample size are required to confirm our results.

Publisher

Wiley

Reference54 articles.

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