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Identification of Hsa_circ_0104824 as a Potential Biomarkers for Breast Cancer

BACKGROUND: To study the specific expression of circular RNA (circRNA) in breast cancer and adjacent normal tissues to identify differentially expressed circRNA in breast cancer patients. To study the correlation between circRNA and clinical data of breast cancer, and to evaluate its potential as a...

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Autores principales: Li, Xiaohan, Ma, Fang, Wu, Ligang, Zhang, Xu, Tian, Jinhai, Li, Jinping, Cao, Jia, Ma, Yunfei, Zhang, Liang, Wang, Libin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556178/
https://www.ncbi.nlm.nih.gov/pubmed/33043809
http://dx.doi.org/10.1177/1533033820960745
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author Li, Xiaohan
Ma, Fang
Wu, Ligang
Zhang, Xu
Tian, Jinhai
Li, Jinping
Cao, Jia
Ma, Yunfei
Zhang, Liang
Wang, Libin
author_facet Li, Xiaohan
Ma, Fang
Wu, Ligang
Zhang, Xu
Tian, Jinhai
Li, Jinping
Cao, Jia
Ma, Yunfei
Zhang, Liang
Wang, Libin
author_sort Li, Xiaohan
collection PubMed
description BACKGROUND: To study the specific expression of circular RNA (circRNA) in breast cancer and adjacent normal tissues to identify differentially expressed circRNA in breast cancer patients. To study the correlation between circRNA and clinical data of breast cancer, and to evaluate its potential as a breast cancer biomarker. METHODS: The differential expression of circRNAs between the breast cancer tissues and adjacent normal tissues was screened by Human CircRNA Microarray. Candidate circRNAs verified by qRT-PCR. CircRNA was analyzed by Agilent GeneSpring 13.0 software. SPSS23.0, GraphPad Prism, and Sigmaplot software were used for statistical analysis. Perform T test, one-way ANOVA, curve regression analysis and ROC curve analysis for evaluating the diagnostic value of circular RNA. RESULTS: Among the 2021 differentially expressed circRNAs, 546 were up-regulated and 1475 were down-regulated in breast cancer tissues. The validation study demonstrated that six circRNAs were downregulated. Among them, hsa_circ_0104824 proved high correlation between breast cancer tissues and plasma samples in its expression and diagnostic value. CONCLUSION: Hsa_circ_0104824 may serve as a promising predictive biomarker and therapeutic target for patients with breast cancer.
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spelling pubmed-75561782020-10-26 Identification of Hsa_circ_0104824 as a Potential Biomarkers for Breast Cancer Li, Xiaohan Ma, Fang Wu, Ligang Zhang, Xu Tian, Jinhai Li, Jinping Cao, Jia Ma, Yunfei Zhang, Liang Wang, Libin Technol Cancer Res Treat Original Article BACKGROUND: To study the specific expression of circular RNA (circRNA) in breast cancer and adjacent normal tissues to identify differentially expressed circRNA in breast cancer patients. To study the correlation between circRNA and clinical data of breast cancer, and to evaluate its potential as a breast cancer biomarker. METHODS: The differential expression of circRNAs between the breast cancer tissues and adjacent normal tissues was screened by Human CircRNA Microarray. Candidate circRNAs verified by qRT-PCR. CircRNA was analyzed by Agilent GeneSpring 13.0 software. SPSS23.0, GraphPad Prism, and Sigmaplot software were used for statistical analysis. Perform T test, one-way ANOVA, curve regression analysis and ROC curve analysis for evaluating the diagnostic value of circular RNA. RESULTS: Among the 2021 differentially expressed circRNAs, 546 were up-regulated and 1475 were down-regulated in breast cancer tissues. The validation study demonstrated that six circRNAs were downregulated. Among them, hsa_circ_0104824 proved high correlation between breast cancer tissues and plasma samples in its expression and diagnostic value. CONCLUSION: Hsa_circ_0104824 may serve as a promising predictive biomarker and therapeutic target for patients with breast cancer. SAGE Publications 2020-10-12 /pmc/articles/PMC7556178/ /pubmed/33043809 http://dx.doi.org/10.1177/1533033820960745 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Li, Xiaohan
Ma, Fang
Wu, Ligang
Zhang, Xu
Tian, Jinhai
Li, Jinping
Cao, Jia
Ma, Yunfei
Zhang, Liang
Wang, Libin
Identification of Hsa_circ_0104824 as a Potential Biomarkers for Breast Cancer
title Identification of Hsa_circ_0104824 as a Potential Biomarkers for Breast Cancer
title_full Identification of Hsa_circ_0104824 as a Potential Biomarkers for Breast Cancer
title_fullStr Identification of Hsa_circ_0104824 as a Potential Biomarkers for Breast Cancer
title_full_unstemmed Identification of Hsa_circ_0104824 as a Potential Biomarkers for Breast Cancer
title_short Identification of Hsa_circ_0104824 as a Potential Biomarkers for Breast Cancer
title_sort identification of hsa_circ_0104824 as a potential biomarkers for breast cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556178/
https://www.ncbi.nlm.nih.gov/pubmed/33043809
http://dx.doi.org/10.1177/1533033820960745
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