Association between lncRNA‐<i>H19</i> polymorphisms and hepatoblastoma risk in an ethic Chinese population

Tan, Tianbao; Li, Jiahao; Yang, Wen; Zou, Yan; Yang, Jiliang; Pan, Jing; Hu, Chao; Yao, Yuxiao; Zhang, Jiao; Xin, Yijuan; Li, Suhong; Xia, Huimin; He, Jing; Yang, Tianyou

doi:10.1111/jcmm.16124

Cited by 13 publications

(5 citation statements)

References 43 publications

(69 reference statements)

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“…H19 is a 3.0 kb highly conserved lncRNA present on human chromosome 11; H19 polymorphisms are associated with increased susceptibility to a variety of cancers. A study of three H19 polymorphisms in 213 patients with hepatoblastoma demonstrated that the rs2839698 and rs3024270 polymorphisms are associated with decreased MRPL23 antisense RNA 1 (MRPL23-AS1) expression, whereas the rs217727 polymorphism is associated with increased MRPL23-AS1 expression (69). Many studies have evaluated the association between the miR-608 rs4919510 polymorphism and CRC susceptibility.…”

Section: Single Nucleotide Polymorphismsmentioning

confidence: 99%

Potential of Mitochondrial Ribosomal Genes as Cancer Biomarkers Demonstrated by Bioinformatics Results

Bao

Wang

et al. 2022

Front. Oncol.

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Next-generation sequencing and bioinformatics analyses have clearly revealed the roles of mitochondrial ribosomal genes in cancer development. Mitochondrial ribosomes are composed of three RNA components encoded by mitochondrial DNA and 82 specific protein components encoded by nuclear DNA. They synthesize mitochondrial inner membrane oxidative phosphorylation (OXPHOS)-related proteins and participate in various biological activities via the regulation of energy metabolism and apoptosis. Mitochondrial ribosomal genes are strongly associated with clinical features such as prognosis and foci metastasis in patients with cancer. Accordingly, mitochondrial ribosomes have become an important focus of cancer research. We review recent advances in bioinformatics research that have explored the link between mitochondrial ribosomes and cancer, with a focus on the potential of mitochondrial ribosomal genes as biomarkers in cancer.

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Section: Single Nucleotide Polymorphismsmentioning

confidence: 99%

Potential of Mitochondrial Ribosomal Genes as Cancer Biomarkers Demonstrated by Bioinformatics Results

Bao

Wang

et al. 2022

Front. Oncol.

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“…Existing studies have proved that some lncRNAs are related to HCC [40]. Tan et al found that rs2839698 and rs3024270 polymorphisms of H19 with HCC increased significantly, and at rs3024270 locus, the GG genotype and HCC association was higher than the CC genotype [41]. Malakar et al demonstrated that MALAT1 is upregulation in HCC and acts as a proto-oncogene through Wnt pathway activation and induction of oncogenic splicing factor SRSF1 [42].…”

Section: Case Studiesmentioning

confidence: 99%

Predict lncRNA-disease associations based on graphlet interaction

Guan

2022

Preprint

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The study of the lncRNA-diseases association is a prevalent project. Researchers have developed many effective computational models to assist experimental research. In this paper, we proposed a computational model (GILDA) to predict the potential lncRNA-disease associations based on graphlet interaction. This model established lncRNA similarity graph and disease similarity graph. Based on the graphlet interaction, we calculated the numbers of graphlet interaction isomers in the similarity graphs respectively, which were then taken as features to train the model, and obtained the predicted lncRNA-disease association scores. Compared with the previous calculation models, GILDA fully considers the direct and indirect relationship between two nodes through the graphlet interaction. The AUC value of GILDA in global LOOCV is 0.8844, in local LOOCV is 0.8468, and in fivefold cross-validation is \(0.8742\pm 0.0057\). At the same time, we made case studies of hepatecellular carcinoma, renal cancer and adenocarcinoma. The results proved that among the first 10 lncRNAs predicted for the three diseases, the prediction accuracy was 100%, 100% and 80%, respectively.

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“…(Zeng et al, 2018;Zhong et al, 2020) The relationship between H19 SNPs and hepatoblastoma susceptibility has also been demonstrated. (Tan et al, 2021) also become a diagnostic marker for gastric cancer and a prognosis marker for esophageal squamous cell cancer, papillary thyroid cancer, and glioblastoma. (Jiao et al, 2019;Li et al, 2019b;Liu et al, 2021e;Schaalan et al, 2020) In existing studies, H19 was upregulated in neuroinflammation and played a pro-inflammatory role.…”

Section: H19mentioning

confidence: 99%

The Common LncRNAs of Neuroinflammation-Related Diseases

et al. 2022

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Spatio-temporal specific lncRNAs play important regulatory roles not only in the growth and development of the brain but also in the occurrence and development of neurological diseases. Generally, the occurrence of neurological diseases is accompanied by neuroinflammation. Elucidation of the regulatory mechanisms of lncRNAs on neuroinflammation is helpful for the clinical treatment of neurological diseases. This paper focuses on recent findings on the regulatory effect of lncRNAs on neuroinflammatory diseases and selects ten lncRNAs that have been intensively studied to analyze their mechanism of action.The clinical treatment status of lncRNAs as drug targets is also reviewed. Significance StatementGene therapies such as CRISPR/Cas9 technology, antisense RNA technology and RNAi technology are gradually applied in clinical treatment, and the development of technology is based on a large number of basic research investigations. This paper focuses on the mechanisms of lncRNAs regulation of neuroinflammation, elucidates the beneficial or harmful effects of lncRNAs in neurosystemic diseases, and provides theoretical bases for lncRNAs as drug targets.

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Association between lncRNA‐H19 polymorphisms and hepatoblastoma risk in an ethic Chinese population

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 13 publications

References 43 publications

Potential of Mitochondrial Ribosomal Genes as Cancer Biomarkers Demonstrated by Bioinformatics Results

Potential of Mitochondrial Ribosomal Genes as Cancer Biomarkers Demonstrated by Bioinformatics Results

Predict lncRNA-disease associations based on graphlet interaction

The Common LncRNAs of Neuroinflammation-Related Diseases

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