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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Taylor & Francis Group
2021
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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) |
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circrna circrna_001846 prognosis biomarker nsclc Biotechnology TP248.13-248.65 |
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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 |
_version_ |
1718444734719983616 |