Identification of circRNA_001846 as putative non–small cell lung cancer biomarker

CircRNAs play diverse roles in the regulation of oncogenic processes, yet the roles of these circRNAs in non–small cell lung cancer (NSCLC) remain to be fully clarified. Herein, patterns of circRNA expression in NSCLC tissues and paracancerous tissues were assessed, and the relationships between the...

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Autores principales: Fan Yang, Chunlan Ma, Jing Qiu, Xiaoli Feng, Kai Yang
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Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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spelling oai:doaj.org-article:b088374f018a413bafa12e55c609d5452021-11-04T15:51:54ZIdentification of circRNA_001846 as putative non–small cell lung cancer biomarker2165-59792165-598710.1080/21655979.2021.1991161https://doaj.org/article/b088374f018a413bafa12e55c609d5452021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/21655979.2021.1991161https://doaj.org/toc/2165-5979https://doaj.org/toc/2165-5987CircRNAs play diverse roles in the regulation of oncogenic processes, yet the roles of these circRNAs in non–small cell lung cancer (NSCLC) remain to be fully clarified. Herein, patterns of circRNA expression in NSCLC tissues and paracancerous tissues were assessed, and the relationships between these circRNAs and NSCLC patient clinical findings were assessed. NSCLC tissues were evaluated using a circRNA microarray approach, with Quantitative real‑time polymerase chain reaction (qPCR) qPCR being used to validate candidate circRNA expression levels in NSCLC patients peripheral blood samples. GEO2R was used to analyze the array data. SPSS23.0, GraphPad Prism, and Sigmaplot were utilized for statistical analyses. Overall, 114 circRNAs that were differentially expressed in NSCLC tissue relative to paracancerous tissue levels were identified, of which 77 and 37 were downregulated and upregulated, respectively. CircRNA_001846 were then chosen based on its differential expression score. Consistent with array findings, serum samples from NSCLC patients exhibited circRNA_001846 upregulation relative to those from healthy individuals. The circRNA_001846 was associated with tumor differentiation, lymph node metastasis, and node metastasis stage. Receiver operating characteristic (ROC) curves analyses revealed that levels of circRNA_001846 in the serum were capable of differentiating between individuals diagnosed with NSCLC and controls at a cut off of 3.9496, yielding respective sensitivity and specificity values of 78.2% and 81.1%, with an area under the curve (AUC) value of 0.872. When combined with carcinoembryonic antigen (CEA), this circRNA achieved an improved AUC value of 0.925. CircRNA_001846 may represent a promising diagnostic biomarker for NSCLC.Fan YangChunlan MaJing QiuXiaoli FengKai YangTaylor & Francis Grouparticlecircrnacircrna_001846prognosis biomarkernsclcBiotechnologyTP248.13-248.65ENBioengineered, Vol 12, Iss 1, Pp 8690-8697 (2021)
institution DOAJ
collection DOAJ
language EN
topic circrna
circrna_001846
prognosis biomarker
nsclc
Biotechnology
TP248.13-248.65
spellingShingle circrna
circrna_001846
prognosis biomarker
nsclc
Biotechnology
TP248.13-248.65
Fan Yang
Chunlan Ma
Jing Qiu
Xiaoli Feng
Kai Yang
Identification of circRNA_001846 as putative non–small cell lung cancer biomarker
description CircRNAs play diverse roles in the regulation of oncogenic processes, yet the roles of these circRNAs in non–small cell lung cancer (NSCLC) remain to be fully clarified. Herein, patterns of circRNA expression in NSCLC tissues and paracancerous tissues were assessed, and the relationships between these circRNAs and NSCLC patient clinical findings were assessed. NSCLC tissues were evaluated using a circRNA microarray approach, with Quantitative real‑time polymerase chain reaction (qPCR) qPCR being used to validate candidate circRNA expression levels in NSCLC patients peripheral blood samples. GEO2R was used to analyze the array data. SPSS23.0, GraphPad Prism, and Sigmaplot were utilized for statistical analyses. Overall, 114 circRNAs that were differentially expressed in NSCLC tissue relative to paracancerous tissue levels were identified, of which 77 and 37 were downregulated and upregulated, respectively. CircRNA_001846 were then chosen based on its differential expression score. Consistent with array findings, serum samples from NSCLC patients exhibited circRNA_001846 upregulation relative to those from healthy individuals. The circRNA_001846 was associated with tumor differentiation, lymph node metastasis, and node metastasis stage. Receiver operating characteristic (ROC) curves analyses revealed that levels of circRNA_001846 in the serum were capable of differentiating between individuals diagnosed with NSCLC and controls at a cut off of 3.9496, yielding respective sensitivity and specificity values of 78.2% and 81.1%, with an area under the curve (AUC) value of 0.872. When combined with carcinoembryonic antigen (CEA), this circRNA achieved an improved AUC value of 0.925. CircRNA_001846 may represent a promising diagnostic biomarker for NSCLC.
format article
author Fan Yang
Chunlan Ma
Jing Qiu
Xiaoli Feng
Kai Yang
author_facet Fan Yang
Chunlan Ma
Jing Qiu
Xiaoli Feng
Kai Yang
author_sort Fan Yang
title Identification of circRNA_001846 as putative non–small cell lung cancer biomarker
title_short Identification of circRNA_001846 as putative non–small cell lung cancer biomarker
title_full Identification of circRNA_001846 as putative non–small cell lung cancer biomarker
title_fullStr Identification of circRNA_001846 as putative non–small cell lung cancer biomarker
title_full_unstemmed Identification of circRNA_001846 as putative non–small cell lung cancer biomarker
title_sort identification of circrna_001846 as putative non–small cell lung cancer biomarker
publisher Taylor & Francis Group
publishDate 2021
url https://doaj.org/article/b088374f018a413bafa12e55c609d545
work_keys_str_mv AT fanyang identificationofcircrna001846asputativenonsmallcelllungcancerbiomarker
AT chunlanma identificationofcircrna001846asputativenonsmallcelllungcancerbiomarker
AT jingqiu identificationofcircrna001846asputativenonsmallcelllungcancerbiomarker
AT xiaolifeng identificationofcircrna001846asputativenonsmallcelllungcancerbiomarker
AT kaiyang identificationofcircrna001846asputativenonsmallcelllungcancerbiomarker
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