Introduction: The early diagnosis and detection could greatly improve the clinical outcome of gastric cancer (GC) patients. However, the non-invasive biomarkers for GC detection remain to be identified.
Method: We used online databases (GEPIA, UALCAN, Kaplan-Meier plotter, TIMER, and MEXPRESS) to explore the association between H19 or metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) expression in tissues and the occurrence, development, prognosis, the levels of immune cell infiltration, and methylation of GC; the correlation between mRNA expression and DNA methylation levels of genes were also examined. Methylation levels of H19 or MALAT1 in peripheral blood were compared between 150 GC patients and 100 healthy controls (HCs). Predictive nomograms were constructed among female and male groups for GC diagnosis. The calibration curves, Hosmer-Lemeshow test, and decision curve analysis were also used to examine the nomograms' predictive ability and clinical values.
Results: Using multiple online databases, we found that the mRNA expressions of H19 and MALAT1 in tissues were related to the occurrence of GC, and such expressions were associated with immune cell infiltration of GC and negatively correlated with DNA methylation levels of H19 and MALAT1. H19 gene, H19C island, and MALAT1B island, as well as 20 CpG sites were hypermethylated in peripheral blood of GC patients compared with HCs; similar results were also found in female and male groups ( < .05 for all). The combination of H19c3, H19c4, MALAT1b12, and age, as well as the combination of H19b7, H19c1, H19c5, and age in the nomograms could distinguish GC patients from HCs in the female group and male group, respectively.
Conclusion: We found statistically significant hypermethylation of H19 and MALAT1 promoters in GC patients, and meaningful sensitivity and specificity of MALAT1 and H19 methylation in discriminating GC and HCs were observed in both female and male groups, which indicates that the peripheral blood-based DNA methylation of H19 and MALAT1 could act as potential non-invasive biomarkers for the diagnosis of GC.
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http://dx.doi.org/10.1177/10732748211043667 | DOI Listing |
Life Sci
January 2025
Amity Institute of Molecular Medicine and Stem Cell Research (AIMMSCR), Amity University, Sector-125, Noida 201313, Uttar Pradesh, India. Electronic address:
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and grave malignancies with confined and ineffective therapeutic options. XPO1 is a critical regulator of nuclear export and activation of tumor suppressor proteins. The present study evaluated the therapeutic potential and molecular mechanisms of XPO1 inhibition against PDAC.
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January 2025
Department of Molecular Oncology, Cancer Institute (WIA), Chennai, TN, India.
Purpose Of The Review: This review aims to explore the pivotal role of long non-coding RNAs (lncRNAs) as epigenetic regulators in the pathogenesis of multiple myeloma (MM). Additionally, we have portrayed the dual role of lncRNAs in the epigenetic landscape of MM pathobiology.
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Genes (Basel)
December 2024
Department of Medicine, Beijing Zhongwei Research Center, Biological and Translational Medicine, Beijing 100161, China.
Ischemic stroke is a serious cerebrovascular disease, highlighting the urgent need for reliable biomarkers for early diagnosis. Recent reports suggest that long non-coding RNAs (lncRNAs) can be potential biomarkers for ischemic stroke. Therefore, our study seeks to investigate the potential diagnostic value of lncRNAs for ischemic stroke by analyzing existing research.
View Article and Find Full Text PDFAntioxidants (Basel)
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Institute for the Application of Nuclear Energy, University of Belgrade, 11080 Belgrade, Serbia.
Recent findings highlighted the potential of long non-coding RNAs (lncRNAs) as novel indicators of gestational diabetes mellitus (GDM), as they demonstrate altered expression in metabolic disorders, oxidative stress (OS) and inflammation (IFM). The aim of this study was to evaluate the diagnostic potential and prognostic significance of the OS/IFM-related lncRNAs H19, and in GDM and their correlations with redox status-related parameters. The relative quantification of selected lncRNAs from peripheral blood mononuclear cells (PBMCs) of GDM patients and controls (n = 50 each) was performed by qPCR.
View Article and Find Full Text PDFPathol Res Pract
November 2024
Institute of Bioinformatics, International Technology Park, Bangalore 560066, India; Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India. Electronic address:
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