Role of microRNAs in Lung Carcinogenesis Induced by Asbestos

Bersimbaev, R. I.; Bulgakova, Olga; Aripova, Akmaral; Kussainova, Assiya; Ilderbayev, Oralbek

doi:10.3390/jpm11020097

Cited by 12 publications

(14 citation statements)

References 145 publications

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“…MicroRNA molecules can regulate any pathway of cell signaling and, accordingly, they can control the stages of carcinogenesis [ 152 ]. The role of microRNA in the development of radon-induced lung cancer as well as asbestos-induced lung cancer is already known [ 153 ]. Therefore, it is of interest to consider the role of mitomiR in the pathogenesis and development of lung cancer.…”

Section: Mitochondrial Mirnas Are Involved In the Development Of Lung...mentioning

confidence: 99%

The Role of Mitochondrial miRNAs in the Development of Radon-Induced Lung Cancer

et al. 2022

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MicroRNAs are short, non-coding RNA molecules regulating gene expression by inhibiting the translation of messenger RNA (mRNA) or leading to degradation. The miRNAs are encoded in the nuclear genome and exported to the cytosol. However, miRNAs have been found in mitochondria and are probably derived from mitochondrial DNA. These miRNAs are able to directly regulate mitochondrial genes and mitochondrial activity. Mitochondrial dysfunction is the cause of many diseases, including cancer. In this review, we consider the role of mitochondrial miRNAs in the pathogenesis of lung cancer with particular reference to radon exposure.

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Section: Mitochondrial Mirnas Are Involved In the Development Of Lung...mentioning

confidence: 99%

The Role of Mitochondrial miRNAs in the Development of Radon-Induced Lung Cancer

et al. 2022

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“…Today, around 4.1–7.3 million workers in the EU are exposed to asbestos, mostly people working in the construction industry [ 2 ]. Moreover, several countries permit the use of asbestos, potentially exposing approximately 125 million people worldwide [ 3 – 5 ].…”

Section: Introductionmentioning

confidence: 99%

Expression of microRNAs in leukocytes and serum of asbestosis patients

2023

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Background Although asbestos use is banned in many countries, long latency of asbestos-related diseases like pleural plaques or asbestosis mean it is still a public health issue. People suffering from these diseases have a higher risk of developing mesothelioma or lung cancer, which can progress quickly and aggressively. MicroRNAs were suggested as potential biomarkers in several diseases. However, in asbestosis, blood microRNAs are less explored. Since miR-32-5p, miR-143-3p, miR-145-5p, miR-146b-5p, miR-204-5p and miR-451a are involved in fibrotic processes and in cancer, expression of these microRNAs was analyzed in leukocytes and serum of asbestosis patients. Methods MicroRNA expression was analyzed in leukocytes and serum of 36 patients (26 affected by pleural plaques and 10 by asbestosis) and 15 healthy controls by real-time RT-PCR. Additionally, data analyses were performed regarding disease severity based on ILO classification. Results MicroRNA miR-146b-5p was significantly down-regulated in leukocytes of patients suffering from pleural plaques with a large effect indicated by η2p = 0.150 and Cohen’s f = 0.42, a value of difference of 0.725 and a 95% confidence interval of 0.070–1.381. In patients suffering from asbestosis miR-146b-5p was not significantly regulated. However, data analyses considering disease severity only, revealed that miR-146b-5p was significantly down-regulated in leukocytes of mildly diseased patients compared to controls with a large effect indicated by η2p = 0.178 and Cohen’s f = 0.465, a value of difference of 0.848 and a 95% confidence interval of 0.097–1.599. Receiver operating characteristic (ROC) curve and an area under the ROC curve value of 0.757 for miR-146b-5p indicated acceptable discrimination ability between patients suffering from pleural plaques and healthy controls. Less microRNAs were detectable in serum than in leukocytes, showing no significant expression differences in all participants of this study. Moreover, miR-145-5p was regulated significantly differently in leukocytes and serum. An R2 value of 0.004 for miR-145-5p indicated no correlation in microRNA expression between leukocytes and serum. Conclusion Leukocytes seem more suitable than serum for microRNA analyses regarding disease and potentially cancer risk assessment of patients suffering from asbestos-related pleural plaques or asbestosis. Long-term studies may reveal whether down-regulation of miR-146b-5p in leukocytes might be an early indicator for an increased cancer risk.

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“…Cancer is a heterogeneous lesion caused by the loss of the normal regulation of local tissue cell growth at the gene level under the action of carcinogenic factors [ 1 ]. Nowadays, cancer has become one of the major causes of human death [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data

Zhong

Meng

Chen

2021

Computational Intelligence and Neuroscience

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The correct classification of cancer subtypes is of great significance for the in-depth study of cancer pathogenesis and the realization of accurate treatment for cancer patients. In recent years, the classification of cancer subtypes using deep neural networks and gene expression data has become a hot topic. However, most classifiers may face the challenges of overfitting and low classification accuracy when dealing with small sample size and high-dimensional biological data. In this paper, the Cascade Flexible Neural Forest (CFNForest) Model was proposed to accomplish cancer subtype classification. CFNForest extended the traditional flexible neural tree structure to FNT Group Forest exploiting a bagging ensemble strategy and could automatically generate the model’s structure and parameters. In order to deepen the FNT Group Forest without introducing new hyperparameters, the multilayer cascade framework was exploited to design the FNT Group Forest model, which transformed features between levels and improved the performance of the model. The proposed CFNForest model also improved the operational efficiency and the robustness of the model by sample selection mechanism between layers and setting different weights for the output of each layer. To accomplish cancer subtype classification, FNT Group Forest with different feature sets was used to enrich the structural diversity of the model, which make it more suitable for processing small sample size datasets. The experiments on RNA-seq gene expression data showed that CFNForest effectively improves the accuracy of cancer subtype classification. The classification results have good robustness.

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Role of microRNAs in Lung Carcinogenesis Induced by Asbestos

Cited by 12 publications

References 145 publications

The Role of Mitochondrial miRNAs in the Development of Radon-Induced Lung Cancer

The Role of Mitochondrial miRNAs in the Development of Radon-Induced Lung Cancer

Expression of microRNAs in leukocytes and serum of asbestosis patients

A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data

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