A two-circular RNA signature as a noninvasive diagnostic biomarker for lung adenocarcinoma
Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD). The Gene Expression Omnibus (GEO) dataset was...
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Published in | Journal of translational medicine Vol. 17; no. 1; pp. 50 - 13 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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BioMed Central Ltd
18.02.2019
BioMed Central BMC |
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Abstract | Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD).
The Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan-Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD.
Two upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development.
A circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis. |
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AbstractList | Background Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD). Methods The Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan-Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD. Results Two upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development. Conclusion A circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis. Keywords: LUAD, CircRNA, Plasma, Diagnosis, Biomarker, Hsa_circ_0005962, Hsa_circ_0086414 Abstract Background Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD). Methods The Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan–Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD. Results Two upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development. Conclusion A circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis. Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD). The Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan-Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD. Two upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development. A circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis. Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD). The Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan-Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD. Two upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development. A circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis. Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD).BACKGROUNDRecently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD).The Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan-Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD.METHODSThe Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan-Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD.Two upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development.RESULTSTwo upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development.A circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis.CONCLUSIONA circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis. Background Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD). Methods The Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan–Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD. Results Two upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development. Conclusion A circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis. |
ArticleNumber | 50 |
Audience | Academic |
Author | Yin, Yun-Hong Yang, Yi-E Li, Rui Qu, Yi-Qing Liu, Xiao Zhang, Meng-Yu Liu, Xiao-Xia |
Author_xml | – sequence: 1 givenname: Xiao-Xia surname: Liu fullname: Liu, Xiao-Xia – sequence: 2 givenname: Yi-E surname: Yang fullname: Yang, Yi-E – sequence: 3 givenname: Xiao surname: Liu fullname: Liu, Xiao – sequence: 4 givenname: Meng-Yu surname: Zhang fullname: Zhang, Meng-Yu – sequence: 5 givenname: Rui surname: Li fullname: Li, Rui – sequence: 6 givenname: Yun-Hong surname: Yin fullname: Yin, Yun-Hong – sequence: 7 givenname: Yi-Qing orcidid: 0000-0002-9538-7601 surname: Qu fullname: Qu, Yi-Qing |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30777071$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1371/journal.pone.0082241 10.1016/j.toxlet.2015.05.019 10.1093/neuonc/nou217 10.1001/jamaoncol.2016.0333 10.1016/j.jhep.2018.01.012 10.1016/j.pharmthera.2018.01.010 10.1158/0008-5472.CAN-17-2808 10.1073/pnas.1405528111 10.1016/j.yexcr.2016.08.014 10.1016/j.molcel.2015.03.027 10.7554/eLife.05005 10.1186/s12943-016-0557-8 10.1161/CIRCRESAHA.116.308434 10.1016/j.molcel.2018.06.034 10.1172/JCI96148 10.1101/gr.203201 10.1261/rna.043687.113 10.1016/j.bone.2012.10.033 10.1038/nature11928 10.1159/000430288 10.1158/0008-5472.CAN-16-1883 10.1136/gutjnl-2017-315402 10.1002/ijc.28043 10.1093/bib/bby006 10.1186/s12943-018-0889-7 10.1038/bcj.2016.81 10.1038/cr.2015.82 10.1016/j.molmed.2015.04.001 10.1016/S0140-6736(16)30958-8 10.1038/nature11993 10.3322/caac.21492 10.1002/cam4.1514 10.1007/s00109-017-1600-y 10.1002/hep.29270 10.1371/journal.pone.0148407 10.1093/nar/gkx1067 10.1038/nprot.2008.211 10.1158/1078-0432.CCR-15-2724 10.1038/nrm.2015.32 10.1080/15476286.2015.1128065 10.1038/ncomms9494 10.3322/caac.21442 10.1373/clinchem.2014.230433 10.1016/j.cell.2012.08.029 10.1093/nar/gkx863 10.1182/blood-2011-03-344408 10.7150/thno.24106 10.1152/physrev.00041.2015 10.1038/s41422-018-0033-7 10.1186/s12943-017-0719-3 10.1002/cncr.28452 10.1111/febs.14132 |
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Keywords | Plasma Biomarker Hsa_circ_0086414 Diagnosis CircRNA Hsa_circ_0005962 LUAD |
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References | B Han (1800_CR6) 2018; 187 DB Dudekula (1800_CR23) 2016; 13 K Gong (1800_CR41) 2018; 128 X Zhu (1800_CR32) 2017; 284 CH Chou (1800_CR25) 2018; 46 D Han (1800_CR12) 2017; 66 V Agarwal (1800_CR24) 2015; 4 S Tong (1800_CR52) 2016; 348 B Chen (1800_CR13) 2018; 8 P Dietrich (1800_CR51) 2018; 67 K Valencia (1800_CR48) 2013; 52 S Tan (1800_CR18) 2018; 28 T Li (1800_CR33) 2018; 96 X Li (1800_CR5) 2018; 71 S Xia (1800_CR21) 2018; 46 S Li (1800_CR31) 2018 H Liu (1800_CR50) 2015; 6 L Wang (1800_CR8) 2018; 17 DW Wu (1800_CR40) 2016; 22 M Cai (1800_CR49) 2015; 36 J Yu (1800_CR11) 2018; 68 F Bray (1800_CR1) 2018; 68 KY Hsiao (1800_CR10) 2017; 77 A Bonizzato (1800_CR17) 2016; 6 GY Zhao (1800_CR53) 2014; 120 B Gyorffy (1800_CR22) 2013; 8 P Glazar (1800_CR20) 2014; 20 Z Fan (1800_CR42) 2018; 23 Z Piotrowska (1800_CR37) 2016; 2 W Du (1800_CR45) 2015; 17 JH Bahn (1800_CR29) 2015; 61 T Doerks (1800_CR26) 2002; 12 TB Hansen (1800_CR43) 2013; 495 RL Siegel (1800_CR3) 2018; 68 M Qiu (1800_CR7) 2018; 78 Y Li (1800_CR16) 2015; 25 Z Nawaz (1800_CR47) 2016; 15 FR Hirsch (1800_CR38) 2017; 389 J Viereck (1800_CR15) 2017; 120 J Beermann (1800_CR30) 2016; 96 RJ Nilsson (1800_CR34) 2011; 118 E Lasda (1800_CR35) 2016; 11 A Rybak-Wolf (1800_CR14) 2015; 58 M Imielinski (1800_CR2) 2012; 150 S Memczak (1800_CR44) 2013; 495 J Zhang (1800_CR9) 2017; 16 W Koh (1800_CR28) 2014; 111 K Shostak (1800_CR36) 2015; 21 D Hang (1800_CR19) 2018; 7 S Babashah (1800_CR46) 2013; 133 LL Chen (1800_CR4) 2016; 17 YH Chiou (1800_CR39) 2015; 237 W Huang da (1800_CR27) 2009; 4 31576337 - Ann Transl Med. 2019 Jul;7(Suppl 3):S130 |
References_xml | – volume: 8 start-page: e82241 year: 2013 ident: 1800_CR22 publication-title: PLoS ONE doi: 10.1371/journal.pone.0082241 – volume: 237 start-page: 46 year: 2015 ident: 1800_CR39 publication-title: Toxicol Lett doi: 10.1016/j.toxlet.2015.05.019 – volume: 17 start-page: 243 year: 2015 ident: 1800_CR45 publication-title: Neuro Oncol. doi: 10.1093/neuonc/nou217 – volume: 2 start-page: 948 year: 2016 ident: 1800_CR37 publication-title: JAMA Oncol. doi: 10.1001/jamaoncol.2016.0333 – volume: 68 start-page: 1214 year: 2018 ident: 1800_CR11 publication-title: J Hepatol doi: 10.1016/j.jhep.2018.01.012 – volume: 187 start-page: 31 year: 2018 ident: 1800_CR6 publication-title: Pharmacol Ther doi: 10.1016/j.pharmthera.2018.01.010 – volume: 78 start-page: 2839 year: 2018 ident: 1800_CR7 publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-17-2808 – volume: 111 start-page: 7361 year: 2014 ident: 1800_CR28 publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.1405528111 – volume: 348 start-page: 1 year: 2016 ident: 1800_CR52 publication-title: Exp Cell Res doi: 10.1016/j.yexcr.2016.08.014 – volume: 58 start-page: 870 year: 2015 ident: 1800_CR14 publication-title: Mol Cell doi: 10.1016/j.molcel.2015.03.027 – volume: 4 start-page: e05005 year: 2015 ident: 1800_CR24 publication-title: Elife. doi: 10.7554/eLife.05005 – volume: 15 start-page: 74 year: 2016 ident: 1800_CR47 publication-title: Mol Cancer. doi: 10.1186/s12943-016-0557-8 – volume: 120 start-page: 381 year: 2017 ident: 1800_CR15 publication-title: Circ Res doi: 10.1161/CIRCRESAHA.116.308434 – volume: 71 start-page: 428 year: 2018 ident: 1800_CR5 publication-title: Mol Cell doi: 10.1016/j.molcel.2018.06.034 – volume: 128 start-page: 2500 year: 2018 ident: 1800_CR41 publication-title: J Clin Invest. doi: 10.1172/JCI96148 – volume: 12 start-page: 47 year: 2002 ident: 1800_CR26 publication-title: Genome Res doi: 10.1101/gr.203201 – volume: 20 start-page: 1666 year: 2014 ident: 1800_CR20 publication-title: RNA doi: 10.1261/rna.043687.113 – volume: 52 start-page: 532 year: 2013 ident: 1800_CR48 publication-title: Bone doi: 10.1016/j.bone.2012.10.033 – volume: 495 start-page: 333 year: 2013 ident: 1800_CR44 publication-title: Nature doi: 10.1038/nature11928 – volume: 36 start-page: 1175 year: 2015 ident: 1800_CR49 publication-title: Cell Physiol Biochem doi: 10.1159/000430288 – volume: 77 start-page: 2339 year: 2017 ident: 1800_CR10 publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-16-1883 – volume: 67 start-page: 1328 year: 2018 ident: 1800_CR51 publication-title: Gut doi: 10.1136/gutjnl-2017-315402 – volume: 133 start-page: 579 year: 2013 ident: 1800_CR46 publication-title: Int J Cancer doi: 10.1002/ijc.28043 – year: 2018 ident: 1800_CR31 publication-title: Brief Bioinform. doi: 10.1093/bib/bby006 – volume: 17 start-page: 140 year: 2018 ident: 1800_CR8 publication-title: Mol Cancer. doi: 10.1186/s12943-018-0889-7 – volume: 6 start-page: e483 year: 2016 ident: 1800_CR17 publication-title: Blood Cancer J. doi: 10.1038/bcj.2016.81 – volume: 25 start-page: 981 year: 2015 ident: 1800_CR16 publication-title: Cell Res doi: 10.1038/cr.2015.82 – volume: 21 start-page: 385 year: 2015 ident: 1800_CR36 publication-title: Trends Mol Med. doi: 10.1016/j.molmed.2015.04.001 – volume: 389 start-page: 299 year: 2017 ident: 1800_CR38 publication-title: Lancet. doi: 10.1016/S0140-6736(16)30958-8 – volume: 495 start-page: 384 year: 2013 ident: 1800_CR43 publication-title: Nature doi: 10.1038/nature11993 – volume: 68 start-page: 394 year: 2018 ident: 1800_CR1 publication-title: CA Cancer J Clin. doi: 10.3322/caac.21492 – volume: 7 start-page: 2783 year: 2018 ident: 1800_CR19 publication-title: Cancer Med doi: 10.1002/cam4.1514 – volume: 96 start-page: 85 year: 2018 ident: 1800_CR33 publication-title: J Mol Med (Berl). doi: 10.1007/s00109-017-1600-y – volume: 66 start-page: 1151 year: 2017 ident: 1800_CR12 publication-title: Hepatology doi: 10.1002/hep.29270 – volume: 11 start-page: e0148407 year: 2016 ident: 1800_CR35 publication-title: PLoS ONE doi: 10.1371/journal.pone.0148407 – volume: 46 start-page: D296 year: 2018 ident: 1800_CR25 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkx1067 – volume: 4 start-page: 44 year: 2009 ident: 1800_CR27 publication-title: Nat Protoc doi: 10.1038/nprot.2008.211 – volume: 22 start-page: 5370 year: 2016 ident: 1800_CR40 publication-title: Clin Cancer Res doi: 10.1158/1078-0432.CCR-15-2724 – volume: 17 start-page: 205 year: 2016 ident: 1800_CR4 publication-title: Nat Rev Mol Cell Biol doi: 10.1038/nrm.2015.32 – volume: 13 start-page: 34 year: 2016 ident: 1800_CR23 publication-title: RNA Biol doi: 10.1080/15476286.2015.1128065 – volume: 6 start-page: 8494 year: 2015 ident: 1800_CR50 publication-title: Nat Commun. doi: 10.1038/ncomms9494 – volume: 68 start-page: 7 year: 2018 ident: 1800_CR3 publication-title: CA Cancer J Clin doi: 10.3322/caac.21442 – volume: 61 start-page: 221 year: 2015 ident: 1800_CR29 publication-title: Clin Chem doi: 10.1373/clinchem.2014.230433 – volume: 150 start-page: 1107 year: 2012 ident: 1800_CR2 publication-title: Cell doi: 10.1016/j.cell.2012.08.029 – volume: 46 start-page: D925 year: 2018 ident: 1800_CR21 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkx863 – volume: 118 start-page: 3680 year: 2011 ident: 1800_CR34 publication-title: Blood doi: 10.1182/blood-2011-03-344408 – volume: 8 start-page: 4003 year: 2018 ident: 1800_CR13 publication-title: Theranostics. doi: 10.7150/thno.24106 – volume: 96 start-page: 1297 year: 2016 ident: 1800_CR30 publication-title: Physiol Rev doi: 10.1152/physrev.00041.2015 – volume: 28 start-page: 693 year: 2018 ident: 1800_CR18 publication-title: Cell Res doi: 10.1038/s41422-018-0033-7 – volume: 16 start-page: 151 year: 2017 ident: 1800_CR9 publication-title: Mol Cancer. doi: 10.1186/s12943-017-0719-3 – volume: 120 start-page: 652 year: 2014 ident: 1800_CR53 publication-title: Cancer doi: 10.1002/cncr.28452 – volume: 23 start-page: 1 year: 2018 ident: 1800_CR42 publication-title: Oncogene. – volume: 284 start-page: 2170 year: 2017 ident: 1800_CR32 publication-title: FEBS J doi: 10.1111/febs.14132 – reference: 31576337 - Ann Transl Med. 2019 Jul;7(Suppl 3):S130 |
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Snippet | Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate... Background Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to... Abstract Background Recently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study... |
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SubjectTerms | Adenocarcinoma Adenocarcinoma of Lung - diagnosis Adenocarcinoma of Lung - genetics Adenocarcinoma of Lung - pathology Adenocarcinoma of Lung - surgery Binding sites Biochemistry Bioinformatics Biological markers Biomarker Biomarkers Biomarkers - metabolism Cancer genetics Cancer therapies Case-Control Studies Cell cycle Cell growth Cell Line, Tumor Cell proliferation Cell Proliferation - genetics Cholecystokinin CircRNA Circular RNA Computational biology Computer programs Datasets Diagnosis Epidermal growth factor receptors Female Future predictions Gene expression Gene Expression Regulation, Neoplastic Gene Ontology Gene Regulatory Networks Genes Genetic research Genomes Genomics Hsa_circ_0005962 Humans Kinases Liver cancer LUAD Lung cancer Lung Neoplasms - diagnosis Lung Neoplasms - genetics Lung Neoplasms - pathology Lung Neoplasms - surgery Male Messenger RNA MicroRNA MicroRNAs Middle Aged miRNA Mutation Plasma Polymerase chain reaction Reproducibility of Results RNA RNA, Circular - blood RNA, Circular - genetics ROC Curve Surgery |
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Title | A two-circular RNA signature as a noninvasive diagnostic biomarker for lung adenocarcinoma |
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