Long non-coding RNAs (lncRNAs) as prognostic and diagnostic biomarkers in multiple myeloma: A systematic review and meta-analysis

Mardani, Mahta; Rashedi, Sina; Keykhaei, Mohammad; Farrokhpour, Hossein; Azadnajafabad, Sina; Tavolinejad, Hamed; Rezaei, Nima

doi:10.1016/j.prp.2021.153726

Cited by 4 publications

(3 citation statements)

References 63 publications

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“…Similarly, different metaanalyses have indicated the potential of lncRNA as a diagnostic marker for various conditions, including head and neck squamous cell carcinoma, 43 melanoma, 44 hepatocellular carcinoma, 45 stomach cancer, 46 and multiple myeloma. 47 This phenomenon exhibited the capacity of lncRNA to play a role in the regulation of gene expression and malignant transformation. 8,10 It is noteworthy that there was observed heterogeneity among included studies.…”

Section: Discussionmentioning

confidence: 99%

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

Solomon,

Berhan,

Almaw

et al. 2024

Cancer Medicine

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BackgroundAcute 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.

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Section: Discussionmentioning

confidence: 99%

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

Solomon,

Berhan,

Almaw

et al. 2024

Cancer Medicine

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“…LncRNAs are a category of noncoding RNAs with over 200 nucleotides in length, tissue specificity and low species conservation ( Jalaiei et al, 2021 ; Zhao et al, 2021 ). LncRNAs bind to proteins through their unique secondary structure to form RNA-protein complexes ( Dashti et al, 2021 ; Janaththani et al, 2021 ; Mardani et al, 2021 ) and interact with multiple RNAs to form complex gene expression regulatory networks ( Sun and Feinberg 2021 ; Wu et al, 2021 ). LncRNAs also target miRNAs through their 3′UTR region to regulate the effective concentration and activity, which affects the repressive effect on the target mRNAs( Sun and Feinberg 2021 ; Wu et al, 2021 ).…”

Section: The Regulatory Mechanism Of Ncrnas In the Glycolysis Of Ovar...mentioning

confidence: 99%

Noncoding RNAs in the Glycolysis of Ovarian Cancer

Zhang

Liu

2022

Front. Pharmacol.

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Energy metabolism reprogramming is the characteristic feature of tumors. The tumorigenesis, metastasis, and drug resistance of ovarian cancer (OC) is dependent on energy metabolism. Even under adequate oxygen conditions, OC cells tend to convert glucose to lactate, and glycolysis can rapidly produce ATP to meet their metabolic energy needs. Non-coding RNAs (ncRNAs) interact directly with DNA, RNA, and proteins to function as an essential regulatory in gene expression and tumor pathology. Studies have shown that ncRNAs regulate the process of glycolysis by interacting with the predominant glycolysis enzyme and cellular signaling pathway, participating in tumorigenesis and progression. This review summarizes the mechanism of ncRNAs regulation in glycolysis in OC and investigates potential therapeutic targets.

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“…There is growing evidence that lncRNA-mediated regulation of gene expression plays a role in modulation of cellular aging processes [ 145 – 149 ]. Importantly, lncRNAs are useful biomarkers for the diagnosis and prognosis of MM [ 150 ]. lncRNAs have been causally linked to dysregulation of cell proliferation, tumor growth, and drug resistance in MM [ 151 – 160 ].…”

Section: Potential Roles Of Fundamental Cellular and Molecular Mechan...mentioning

confidence: 99%

Multiple myeloma, a quintessential malignant disease of aging: a geroscience perspective on pathogenesis and treatment

2022

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Multiple myeloma (MM) is an incurable plasma cell malignancy, which is predominantly a disease of older adults (the median age at diagnosis is 70 years). The slow progression from asymptomatic stages and the late-onset of MM suggest fundamental differences compared to many other hematopoietic system-related malignancies. The concept discussed in this review is that age-related changes at the level of terminally differentiated plasma cells act as the main risk factors for the development of MM. Epigenetic and genetic changes that characterize both MM development and normal aging are highlighted. The relationships between cellular aging processes, genetic mosaicism in plasma cells, and risk for MM and the stochastic processes contributing to clonal selection and expansion of mutated plasma cells are investigated. In line with the DNA damage accumulation theory of aging, in this review, the evolution of monoclonal gammopathy to symptomatic MM is considered. Therapeutic consequences of age-dependent comorbidities that lead to frailty and have fundamental influence on treatment outcome are described. The importance of considering geriatric states when planning the life-long treatment course of an elderly MM patient in order to achieve maximal therapeutic benefit is emphasized.

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Long non-coding RNAs (lncRNAs) as prognostic and diagnostic biomarkers in multiple myeloma: A systematic review and meta-analysis

Cited by 4 publications

References 63 publications

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

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

Noncoding RNAs in the Glycolysis of Ovarian Cancer

Multiple myeloma, a quintessential malignant disease of aging: a geroscience perspective on pathogenesis and treatment

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