Peripheral Blood-Based DNA Methylation of Long Non-Coding RNA H19 and Metastasis-Associated Lung Adenocarcinoma Transcript 1 Promoters are Potential Non-Invasive Biomarkers for Gastric Cancer Detection
| Autor: | Yan-Feng Zou, Nana Meng, Dingtao Hu, Xiaoqi Lou, Zhen Li, Ying Teng, Fang Wang |
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| Rok vydání: | 2021 |
| Předmět: |
Male
China Orignal Research Article Sensitivity and Specificity Metastasis Body Mass Index Sex Factors Stomach Neoplasms Biomarkers Tumor Medicine Humans Promoter Regions Genetic RC254-282 Lung DNA methylation H19 business.industry gastric cancer Cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens Promoter Hematology General Medicine medicine.disease Prognosis peripheral blood Peripheral blood Long non-coding RNA Gene Expression Regulation Neoplastic medicine.anatomical_structure Oncology embryonic structures Cancer research Adenocarcinoma Female RNA Long Noncoding metastasis-associated lung adenocarcinoma transcript 1 business |
| Zdroj: | Cancer Control : Journal of the Moffitt Cancer Center Cancer Control, Vol 28 (2021) |
| ISSN: | 1526-2359 |
| Popis: | 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 ( P < .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. |
| Databáze: | OpenAIRE |
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