DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining
Previous researches have highlighted that low-expressing deoxyribonuclease1-like 3 (DNASE1L3) may play a role as a potential prognostic biomarker in several cancers. However, the diagnosis and prognosis roles of DNASE1L3 gene in lung adenocarcinoma (LUAD) remain largely unknown. This research aimed...
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2021
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oai:doaj.org-article:66b633708eae49d4ad5bad377f8a7b052021-11-15T04:26:42ZDNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining1664-802110.3389/fgene.2021.699242https://doaj.org/article/66b633708eae49d4ad5bad377f8a7b052021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.699242/fullhttps://doaj.org/toc/1664-8021Previous researches have highlighted that low-expressing deoxyribonuclease1-like 3 (DNASE1L3) may play a role as a potential prognostic biomarker in several cancers. However, the diagnosis and prognosis roles of DNASE1L3 gene in lung adenocarcinoma (LUAD) remain largely unknown. This research aimed to explore the diagnosis value, prognostic value, and potential oncogenic roles of DNASE1L3 in LUAD. We performed bioinformatics analysis on LUAD datasets downloaded from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus), and jointly analyzed with various online databases. We found that both the mRNA and protein levels of DNASE1L3 in patients with LUAD were noticeably lower than that in normal tissues. Low DNASE1L3 expression was significantly associated with higher pathological stages, T stages, and poor prognosis in LUAD cohorts. Multivariate analysis revealed that DNASE1L3 was an independent factor affecting overall survival (HR = 0.680, p = 0.027). Moreover, decreased DNASE1L3 showed strong diagnostic efficiency for LUAD. Results indicated that the mRNA level of DNASE1L3 was positively correlated with the infiltration of various immune cells, immune checkpoints in LUAD, especially with some m6A methylation regulators. In addition, enrichment function analysis revealed that the co-expressed genes may participate in the process of intercellular signal transduction and transmission. GSEA indicated that DNASE1L3 was positively related to G protein-coupled receptor ligand biding (NES = 1.738; P adjust = 0.044; FDR = 0.033) and G alpha (i) signaling events (NES = 1.635; P adjust = 0.044; FDR = 0.033). Our results demonstrated that decreased DNASE1L3 may serve as a novel diagnostic and prognostic biomarker associating with immune infiltrates in lung adenocarcinoma.Jianlin ChenJunping DingWenjie HuangLin SunJinping ChenYangyang LiuQianmei ZhanGan GaoXiaoling HeGuowen QiuPeiying LongLishu WeiZhenni LuYifan SunFrontiers Media S.A.articleLUADDNASE1L3diagnosticprognosticTCGA databaseGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021) |
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LUAD DNASE1L3 diagnostic prognostic TCGA database Genetics QH426-470 |
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LUAD DNASE1L3 diagnostic prognostic TCGA database Genetics QH426-470 Jianlin Chen Junping Ding Wenjie Huang Lin Sun Jinping Chen Yangyang Liu Qianmei Zhan Gan Gao Xiaoling He Guowen Qiu Peiying Long Lishu Wei Zhenni Lu Yifan Sun DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining |
description |
Previous researches have highlighted that low-expressing deoxyribonuclease1-like 3 (DNASE1L3) may play a role as a potential prognostic biomarker in several cancers. However, the diagnosis and prognosis roles of DNASE1L3 gene in lung adenocarcinoma (LUAD) remain largely unknown. This research aimed to explore the diagnosis value, prognostic value, and potential oncogenic roles of DNASE1L3 in LUAD. We performed bioinformatics analysis on LUAD datasets downloaded from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus), and jointly analyzed with various online databases. We found that both the mRNA and protein levels of DNASE1L3 in patients with LUAD were noticeably lower than that in normal tissues. Low DNASE1L3 expression was significantly associated with higher pathological stages, T stages, and poor prognosis in LUAD cohorts. Multivariate analysis revealed that DNASE1L3 was an independent factor affecting overall survival (HR = 0.680, p = 0.027). Moreover, decreased DNASE1L3 showed strong diagnostic efficiency for LUAD. Results indicated that the mRNA level of DNASE1L3 was positively correlated with the infiltration of various immune cells, immune checkpoints in LUAD, especially with some m6A methylation regulators. In addition, enrichment function analysis revealed that the co-expressed genes may participate in the process of intercellular signal transduction and transmission. GSEA indicated that DNASE1L3 was positively related to G protein-coupled receptor ligand biding (NES = 1.738; P adjust = 0.044; FDR = 0.033) and G alpha (i) signaling events (NES = 1.635; P adjust = 0.044; FDR = 0.033). Our results demonstrated that decreased DNASE1L3 may serve as a novel diagnostic and prognostic biomarker associating with immune infiltrates in lung adenocarcinoma. |
format |
article |
author |
Jianlin Chen Junping Ding Wenjie Huang Lin Sun Jinping Chen Yangyang Liu Qianmei Zhan Gan Gao Xiaoling He Guowen Qiu Peiying Long Lishu Wei Zhenni Lu Yifan Sun |
author_facet |
Jianlin Chen Junping Ding Wenjie Huang Lin Sun Jinping Chen Yangyang Liu Qianmei Zhan Gan Gao Xiaoling He Guowen Qiu Peiying Long Lishu Wei Zhenni Lu Yifan Sun |
author_sort |
Jianlin Chen |
title |
DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining |
title_short |
DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining |
title_full |
DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining |
title_fullStr |
DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining |
title_full_unstemmed |
DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining |
title_sort |
dnase1l3 as a novel diagnostic and prognostic biomarker for lung adenocarcinoma based on data mining |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/66b633708eae49d4ad5bad377f8a7b05 |
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