Using miR-10b, miR-1 and miR-30a expression profiles of bronchoalveolar lavage and sputum for early detection of non-small cell lung cancer

Sheervalilou, Roghayeh; Khamaneh, Amir Mahdi; Sharifi, Akbar; Nazemiyeh, Masoud; Taghizadieh, Ali; Ansarin, Khalil; Zarghami, Nosratollah

doi:10.1016/j.biopha.2017.02.002

Cited by 22 publications

(13 citation statements)

References 47 publications

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“…In 2015, Kim et al declared similar expression of miR-21 and miR-143 in BAL fluid as detected in our patients [27]. Like in our results, Sheervalilou et al [28] described upregulation of miR-10b and downregulation of miR-1 and miR30 in BAL of NSCLC patients compared to control, but they used RT-PCR.…”

Section: Discussionsupporting

confidence: 85%

MicroRNA genetic signature in non-small cell lung cancer (NSCLC) Egyptian patients

et al. 2020

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Background: Cancer development is associated with deregulated microRNA (miRNA) in body fluids including serum, plasma, and bronchoalveolar lavage (BAL). Early diagnosis and early treatment of lung cancer improve survival and response to treatment. So, finding an easy detectable biomarker is crucially important to improve the disease outcome. So, we analyzed the differential expression of miRNA using microarray both in serum and BAL of 37 non-small cell lung cancer (NSCLC) patients and 30 healthy control subjects (15 non-smokers and 15 smokers). Results: A total of 32 miRNAs were significantly differentially expressed in serum of NSCLC patients versus controls (13 up-regulated and 19 down-regulated), whereas 14 miRNAs were significantly differentially expressed in BAL of NSCLC patients relative to control (12 upregulated and 2 downregulated). The accuracy of MiRNAs to detect lung cancer patients versus control was 94.3% with a specificity of 97.8% and a sensitivity of 92.3%. Conclusions: Expression of miRNAs is specific in both serum and BAL of NSCLC patients, indicating that they might be considered easy diagnostic biomarkers for early lung cancer detection.

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Section: Discussionsupporting

confidence: 85%

MicroRNA genetic signature in non-small cell lung cancer (NSCLC) Egyptian patients

et al. 2020

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“…A total of 98 studies were included in 29 articles, and the number of patients with LC was 2487, and the number of included controls was 1467. The main characteristics of the included articles are listed in Tables S1‐S4.…”

Section: Resultsmentioning

confidence: 99%

Could microRNA be used as a diagnostic tool for lung cancer?

Wang

Guan

Wang

2019

J of Cellular Biochemistry

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Objectives Current methods for diagnosing lung cancer (LC) have varying degrees of risks and complications. MicroRNA (miRNA) is a small molecule noncoding RNA with gene regulation functions. Many studies have shown that miRNA can be used for the diagnosis of LC, but there are differences in diagnostic accuracy. Therefore, we aim to systematically review and meta‐analyze published articles to comprehensively evaluate the diagnostic value of miRNA for LC. Materials and methods We searched the PubMed, Embase, and Cochrane databases, and calculated the area under the curve (AUC) by plotting the summary receiver operator characteristic curve using the sensitivity and specificity of each included study. The AUC was calculated and the likelihood ratio was plotted to assess the diagnostic accuracy of miRNA. We used QUADAS‐2 in Review Manager 5.3 to evaluate the quality of all the articles. The other analyses were performed using the STATA 12.0 software. Results We included a total of 29 articles, 98 studies, and the qualities of all the articles were satisfactory. The overall pooled parameters calculated from all studies were as follows: sensitivity = 0.77, specificity = 0.83, positive likelihood ratio (PLR) = 4.6, negative likelihood ratio (NLR) = 0.28, and AUC = 0.87 for miRNA diagnosis. It had significant advantages over other biomarkers. Subgroup analysis showed that when combined four or more miRNA for the diagnosis of LC, the parameters were as follows: sensitivity = 0.90, specificity = 0.93, PLR = 13.2, NLR = 0.11, and AUC = 0.97. Conclusion Four or more miRNA combination could be used for the diagnosis of LC. Besides this, we also found that miRNA showed a greater advantage in distinguishing LC from benign lung diseases than distinguishing between LC and normal people. Our findings provided a new way of thinking about the clinical diagnosis of LC from a nonmorphological aspect.

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“…According to evidences reviewed here, miRNAs can be considered as a part of multilevel regulatory machinery; however, miRNAs not only are able to target certain molecules at the post-transcriptional level, 110 like the epigenetic machinery members, but also are strictly targeted by epigenetic mechanisms. According to these findings, aberrant balance among the members of this complicated network leads to lung cancer.…”

Section: Resultsmentioning

confidence: 99%

A new insight on reciprocal relationship between microRNA expression and epigenetic modifications in human lung cancer

et al. 2017

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Lung cancer stands among the leading causes of cancer-related death in the world. Although the molecular network implicated in lung cancer development is extensively revealed, the mortality rate is only slightly improved. MicroRNAs are small, endogenous single-stranded evolutionary conserved non-coding RNAs which involve in a wide variety of biological processes including cell growth, proliferation, metabolism, and differentiation. MicroRNAs, as novel biomarkers, have multiple functions in normal lung tissue development, and aberrant expression profiles of certain microRNAs could induce lung tumorigenesis. Similar to that of protein-coding genes, microRNA expression and function are regulated by multiple factors as well as the epigenetic network including DNA methylation and histone modification mechanisms. Furthermore, microRNAs can themselves regulate key enzymes which drive epigenetic modifications and have a pivotal effect on the cell biology. In this review, we will look into the regulatory loop linkage between microRNA expression and epigenetic modifications, and then, we will discuss the effects of epigenetics on the miRNome, as well as the role of epi-microRNAs in controlling the epigenome in human lung cancer. Better knowledge of reciprocal connection between microRNAs and epigenome will help to develop novel microRNA-orientated diagnostic, prognostic and therapeutic strategies related to human lung cancer in future.

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Using miR-10b, miR-1 and miR-30a expression profiles of bronchoalveolar lavage and sputum for early detection of non-small cell lung cancer

Cited by 22 publications

References 47 publications

MicroRNA genetic signature in non-small cell lung cancer (NSCLC) Egyptian patients

MicroRNA genetic signature in non-small cell lung cancer (NSCLC) Egyptian patients

Could microRNA be used as a diagnostic tool for lung cancer?

A new insight on reciprocal relationship between microRNA expression and epigenetic modifications in human lung cancer

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