Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancer
Abstract Background Circular RNA (circRNA), a class of RNA with a covalent closed circular structure that widely existed in serum and plasma, has been considered an ideal liquid biopsy marker in many diseases. In this study, we employed microarray and qRT-PCR to evaluate the potential circulating ci...
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| Format: | Article |
| Language: | English |
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BMC
2022-05-01
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| Series: | Journal of Ovarian Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13048-022-00988-0 |
| _version_ | 1797965082660962304 |
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| author | Lili Ge Yu Sun Yaqian Shi Guangquan Liu Fang Teng Zhe Geng Xiyi Chen Hanzi Xu Juan Xu Xuemei Jia |
| author_facet | Lili Ge Yu Sun Yaqian Shi Guangquan Liu Fang Teng Zhe Geng Xiyi Chen Hanzi Xu Juan Xu Xuemei Jia |
| author_sort | Lili Ge |
| collection | DOAJ |
| description | Abstract Background Circular RNA (circRNA), a class of RNA with a covalent closed circular structure that widely existed in serum and plasma, has been considered an ideal liquid biopsy marker in many diseases. In this study, we employed microarray and qRT-PCR to evaluate the potential circulating circRNAs with diagnostic efficacy in ovarian cancer. Methods We used microarray to explore the circRNA expression profile in ovarian cancer patients’ plasma and quantitative real-time (qRT)-PCR approach to assessing the candidate circRNA’s expression. Then the receiver operating characteristic (ROC) curve was employed to analyze the diagnostic values of candidate circRNAs. The diagnostic model circCOMBO was a combination of hsa_circ_0003972 and hsa_circ_0007288 built by binary logistic regression. Then bioinformatic tools were used to predict their potential mechanisms. Results Hsa_circ_0003972 and hsa_circ_0007288 were downregulated in ovarian cancer patients’ plasma, tissues, and cell lines, comparing with the controls. Hsa_circ_0003972 and hsa_circ_0007288 exhibited diagnostic values with the Area Under Curve (AUC) of 0.724 and 0.790, respectively. circCOMBO showed a better diagnostic utility (AUC: 0.781), while the combination of circCOMBO and carbohydrate antigen 125 (CA125) showed the highest diagnostic value (AUC: 0.923). Furthermore, the higher expression level of hsa_circ_0007288 in both plasma and ovarian cancer tissues was associated with lower lymph node metastasis potential in ovarian cancer. Conclusions Our results revealed that hsa_circ_0003972 and hsa_circ_0007288 may serve as novel circulating biomarkers for ovarian cancer diagnosis. |
| first_indexed | 2024-04-11T01:54:33Z |
| format | Article |
| id | doaj.art-d026f52410ed4184971c3d0ed9adccd8 |
| institution | Directory Open Access Journal |
| issn | 1757-2215 |
| language | English |
| last_indexed | 2024-04-11T01:54:33Z |
| publishDate | 2022-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Ovarian Research |
| spelling | doaj.art-d026f52410ed4184971c3d0ed9adccd82023-01-03T05:38:21ZengBMCJournal of Ovarian Research1757-22152022-05-0115111210.1186/s13048-022-00988-0Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancerLili Ge0Yu Sun1Yaqian Shi2Guangquan Liu3Fang Teng4Zhe Geng5Xiyi Chen6Hanzi Xu7Juan Xu8Xuemei Jia9Department of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Department of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Department of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Department of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Department of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Department of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Department of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchDepartment of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Department of Gynecology, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital)Abstract Background Circular RNA (circRNA), a class of RNA with a covalent closed circular structure that widely existed in serum and plasma, has been considered an ideal liquid biopsy marker in many diseases. In this study, we employed microarray and qRT-PCR to evaluate the potential circulating circRNAs with diagnostic efficacy in ovarian cancer. Methods We used microarray to explore the circRNA expression profile in ovarian cancer patients’ plasma and quantitative real-time (qRT)-PCR approach to assessing the candidate circRNA’s expression. Then the receiver operating characteristic (ROC) curve was employed to analyze the diagnostic values of candidate circRNAs. The diagnostic model circCOMBO was a combination of hsa_circ_0003972 and hsa_circ_0007288 built by binary logistic regression. Then bioinformatic tools were used to predict their potential mechanisms. Results Hsa_circ_0003972 and hsa_circ_0007288 were downregulated in ovarian cancer patients’ plasma, tissues, and cell lines, comparing with the controls. Hsa_circ_0003972 and hsa_circ_0007288 exhibited diagnostic values with the Area Under Curve (AUC) of 0.724 and 0.790, respectively. circCOMBO showed a better diagnostic utility (AUC: 0.781), while the combination of circCOMBO and carbohydrate antigen 125 (CA125) showed the highest diagnostic value (AUC: 0.923). Furthermore, the higher expression level of hsa_circ_0007288 in both plasma and ovarian cancer tissues was associated with lower lymph node metastasis potential in ovarian cancer. Conclusions Our results revealed that hsa_circ_0003972 and hsa_circ_0007288 may serve as novel circulating biomarkers for ovarian cancer diagnosis.https://doi.org/10.1186/s13048-022-00988-0Ovarian cancercircRNADiagnostic biomarkerPlasma |
| spellingShingle | Lili Ge Yu Sun Yaqian Shi Guangquan Liu Fang Teng Zhe Geng Xiyi Chen Hanzi Xu Juan Xu Xuemei Jia Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancer Journal of Ovarian Research Ovarian cancer circRNA Diagnostic biomarker Plasma |
| title | Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancer |
| title_full | Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancer |
| title_fullStr | Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancer |
| title_full_unstemmed | Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancer |
| title_short | Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancer |
| title_sort | plasma circrna microarray profiling identifies novel circrna biomarkers for the diagnosis of ovarian cancer |
| topic | Ovarian cancer circRNA Diagnostic biomarker Plasma |
| url | https://doi.org/10.1186/s13048-022-00988-0 |
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