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Plasma long noncoding RNAs PANDAR, FOXD2-AS1, and SMARCC2 as potential novel diagnostic biomarkers for gastric cancer

Authors Yang Z, Sun Y, Liu R, Shi Y, Ding S

Received 17 January 2019

Accepted for publication 11 June 2019

Published 4 July 2019 Volume 2019:11 Pages 6175—6184

DOI https://doi.org/10.2147/CMAR.S201935

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Melinda Thomas

Peer reviewer comments 2

Editor who approved publication: Dr Xueqiong Zhu


Ziwei Yang,1 Yanfei Sun,2 Rongfeng Liu,3 Yanyan Shi,4 Shigang Ding5

1Department of Clinical Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China; 2Department of Emergency, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China; 3Department of Clinical Laboratory Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, People’s Republic of China; 4Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, People’s Republic of China; 5Department of Gastroenterology, Peking University Third Hospital, Beijing, People’s Republic of China

Background: Gastric cancer is still a common cancer worldwide. Investigation of potential plasma biomarkers for gastric cancer diagnosis is essential for prevention strategies and early intervention for gastric cancer-control planning.
Objectives: This study was aimed to explore the lncRNAs’ promoter of CDKN1A antisense DNA-damage-activated RNA (PANDAR), FOXD2-AS1, and SMARCC2 as potential novel diagnostic biomarkers for gastric cancer.
Method: 109 gastric cancer patients and 106 healthy controls were involved in this study. Plasma lncRNAs PANDAR, FOXD2-AS1, and SMARCC2 were detected by real-time PCR. Student’s t-test, Mann-Whitney U test, and Chi-square test were used to verify the differences of clinical variables between two groups. Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic value of every biomarker. Multivariable analysis of risk factors for gastric cancer was performed using logistic regression analysis.
Results: There were significant differences in age, gender, carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 153 between gastric cancer and healthy controls (P<0.05). Compared with healthy subjects, the levels of plasma lncRNAs PANDAR, FOXD2-AS1, and SMARCC2 were all significantly higher in gastric cancer patients (P<0.05). These lncRNAs were significantly associated with clinicopathological parameters of gastric cancer, like pathological differentiation, TNM stage, and/or lymph nodes metastasis, and/or invasion depth (P<0.05). The AUC for lncRNA PANDAR was 0.767, for FOXD2-AS1 was 0.700, for SMARCC2 was 0.748, and the AUC of the combinative diagnostic value of these three lncRNAs was 0.839. Adjusted by other variables, these lncRNAs’ expressions were significantly associated with gastric cancer.
Conclusions: Plasma lncRNAs PANDAR, FOXD2-AS1, and SMARCC2 might be appropriate diagnostic biomarkers for gastric cancer.

Keywords: gastric cancer diagnosis, long noncoding RNA, PANDAR, FOXD2-AS1, SMARCC2


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