Literature DB >> 33597967

Identification of Serum Circulating MicroRNAs as Novel Diagnostic Biomarkers of Gastric Cancer.

Yunjin Yao1, Yongfeng Ding2, Yuntong Bai3, Quan Zhou1, Hyun Lee4, Xiawei Li5, Lisong Teng1.   

Abstract

Gastric cancer (GC) is one of the leading causes of cancer-associated deaths worldwide. Due to the lack of typical symptoms and effective biomarkers for non-invasive screening, most patients develop advanced-stage GC by the time of diagnosis. Circulating microRNA (miRNA)-based panels have been reported as a promising tool for the screening of certain types of cancers. In this study, we performed differential expression analysis of miRNA profiles of plasma samples obtained from gastric cancer and non-cancer patients using two independent Gene Expression Omnibus (GEO) datasets: GSE113486 and GSE124158. We identified three miRNAs, hsa-miR-320a, hsa-miR-1260b, and hsa-miR-6515-5p, to distinguish gastric cancer cases from non-cancer controls. The three miRNAs showed an area under the curve (AUC) over 0.95 with high specificity (>93.0%) and sensitivity (>85.0%) in both the discovery datasets. In addition, we further validated these three miRNAs in two external datasets: GSE106817 [sensitivity: hsa-miR-320a (99.1%), hsa-miR-1260b (97.4%), and hsa-miR-6515-5p (92.2%); specificity: hsa-miR-320a (88.8%), hsa-miR-1260b (89.6%), and hsa-miR-6515-5p (88.7%); and AUC: hsa-miR-320a (96.3%), hsa-miR-1260b (97.4%), and hsa-miR-6515-5p (94.6%)] and GSE112264 [sensitivity: hsa-miR-320a (100.0%), hsa-miR-1260b (98.0%), and hsa-miR-6515.5p (98.0%); specificity: hsa-miR-320a (100.0%), hsa-miR-1260b (100.0%), and hsa-miR-6515.5p (92.7%); and AUC: hsa-miR-320a (1.000), hsa-miR-1260b (1.000), and hsa-miR-6515-5p (0.988)]. On the basis of these findings, the three miRNAs can be used as potential biomarkers for gastric cancer screening, which can provide patients with a higher chance of curative resection and longer survival.
Copyright © 2021 Yao, Ding, Bai, Zhou, Lee, Li and Teng.

Entities:  

Keywords:  biomarkers; differential expression analysis; gastric cancer; gene expression omnibus datasets; microRNAs

Year:  2021        PMID: 33597967      PMCID: PMC7882724          DOI: 10.3389/fgene.2020.591515

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


  6 in total

1.  Identifying Potential miRNA Biomarkers for Gastric Cancer Diagnosis Using Machine Learning Variable Selection Approach.

Authors:  Neda Gilani; Reza Arabi Belaghi; Younes Aftabi; Elnaz Faramarzi; Tuba Edgünlü; Mohammad Hossein Somi
Journal:  Front Genet       Date:  2022-01-10       Impact factor: 4.599

2.  AGT May Serve as a Prognostic Biomarker and Correlated with Immune Infiltration in Gastric Cancer.

Authors:  Fanqi Wu; Longguo Zhang; Li Wang; Dekui Zhang
Journal:  Int J Gen Med       Date:  2022-02-22

3.  Exploration of Potential miRNA Biomarkers and Prediction for Ovarian Cancer Using Artificial Intelligence.

Authors:  Farzaneh Hamidi; Neda Gilani; Reza Arabi Belaghi; Parvin Sarbakhsh; Tuba Edgünlü; Pasqualina Santaguida
Journal:  Front Genet       Date:  2021-11-25       Impact factor: 4.599

Review 4.  Treatment Response Predictors of Neoadjuvant Therapy for Locally Advanced Gastric Cancer: Current Status and Future Perspectives.

Authors:  Yasushi Sato; Koichi Okamoto; Tomoyuki Kawaguchi; Fumika Nakamura; Hiroshi Miyamoto; Tetsuji Takayama
Journal:  Biomedicines       Date:  2022-07-06

Review 5.  Overview of MicroRNAs as Diagnostic and Prognostic Biomarkers for High-Incidence Cancers in 2021.

Authors:  Chunyan Zhang; Caifang Sun; Yabin Zhao; Qiwen Wang; Jianlin Guo; Bingyu Ye; Guoying Yu
Journal:  Int J Mol Sci       Date:  2022-09-27       Impact factor: 6.208

6.  Identification of Inflammation-Related Genes and Exploration of Regulatory Mechanisms in Patients with Osteonecrosis of the Femoral Head.

Authors:  Tong Li; Cheng Huang; Jinhui Ma; Ran Ding; Qidong Zhang; Weiguo Wang
Journal:  Biomed Res Int       Date:  2022-09-22       Impact factor: 3.246

  6 in total

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