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Identification of a 7-microRNA signature in plasma as promising biomarker for nasopharyngeal carcinoma detection.
Cancer Med. 2020 02; 9(3):1230-1241.CM

Abstract

BACKGROUND

Circulating microRNAs (miRNAs) have become reliable sources of non-invasive biomarkers for cancer diagnosis. Identification of promising miRNA biomarkers in plasma might benefit a lot to the detection of nasopharyngeal carcinoma (NPC).

METHODS

The Exiqon miRNA qPCR panel was used in the screening stage to identify candidate miRNAs, which were further verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR) in the following three stages among plasma samples from 200 NPC patients and 189 healthy donors (as normal controls [NCs]). The identified miRNAs were further explored in tissue specimens (48 NPC vs 32 NCs) and plasma exosomes (32 NPC vs 32 NCs). Survival analyses were ultimately conducted by Cox regression models and Kaplan-Meier curves using log-rank tests.

RESULTS

We identified a 7-miRNA signature including let-7b-5p, miR-140-3p, miR-144-3p, miR-17-5p, miR-20a-5p, miR-20b-5p, and miR-205-5p in plasma for NPC diagnosis after four-stage validation. The areas under the receiver operating characteristic curve (AUCs) for the signature were 0.879, 0.884, 0.921, and 0.807 for the training, testing, external validation stage, and the combined three stages, respectively. In NPC tissues, miR-144-3p, miR-17-5p, miR-20a-5p, and miR-205-5p were consistently up-regulated while let-7b-5p and miR-140-3p were significantly down-regulated compared to NCs. However, none of the seven identified miRNAs were dysregulated in plasma-derived exosomes in NPC patients. As to survival analysis, none of the seven miRNAs seemed to be associated with NPC prognosis.

CONCLUSION

We identified a 7-miRNA signature in plasma as promising non-invasive biomarkers for NPC detection.

Authors+Show Affiliations

Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China. Department of Medical Oncology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, PR China.Fudan University Shanghai Cancer Center, Xuhui, Shanghai, PR China.Department of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, PR China.Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.Department of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, PR China.

Pub Type(s)

Journal Article
Observational Study
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

31856390

Citation

Zhang, Huo, et al. "Identification of a 7-microRNA Signature in Plasma as Promising Biomarker for Nasopharyngeal Carcinoma Detection." Cancer Medicine, vol. 9, no. 3, 2020, pp. 1230-1241.
Zhang H, Zou X, Wu L, et al. Identification of a 7-microRNA signature in plasma as promising biomarker for nasopharyngeal carcinoma detection. Cancer Med. 2020;9(3):1230-1241.
Zhang, H., Zou, X., Wu, L., Zhang, S., Wang, T., Liu, P., Zhu, W., & Zhu, J. (2020). Identification of a 7-microRNA signature in plasma as promising biomarker for nasopharyngeal carcinoma detection. Cancer Medicine, 9(3), 1230-1241. https://doi.org/10.1002/cam4.2676
Zhang H, et al. Identification of a 7-microRNA Signature in Plasma as Promising Biomarker for Nasopharyngeal Carcinoma Detection. Cancer Med. 2020;9(3):1230-1241. PubMed PMID: 31856390.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identification of a 7-microRNA signature in plasma as promising biomarker for nasopharyngeal carcinoma detection. AU - Zhang,Huo, AU - Zou,Xuan, AU - Wu,Lirong, AU - Zhang,Shiyu, AU - Wang,Tongshan, AU - Liu,Ping, AU - Zhu,Wei, AU - Zhu,Jun, Y1 - 2019/12/19/ PY - 2019/06/09/received PY - 2019/10/20/revised PY - 2019/10/21/accepted PY - 2019/12/20/pubmed PY - 2021/4/27/medline PY - 2019/12/20/entrez KW - biomarker KW - nasopharyngeal carcinoma KW - plasma miRNA KW - qRT-PCR SP - 1230 EP - 1241 JF - Cancer medicine JO - Cancer Med VL - 9 IS - 3 N2 - BACKGROUND: Circulating microRNAs (miRNAs) have become reliable sources of non-invasive biomarkers for cancer diagnosis. Identification of promising miRNA biomarkers in plasma might benefit a lot to the detection of nasopharyngeal carcinoma (NPC). METHODS: The Exiqon miRNA qPCR panel was used in the screening stage to identify candidate miRNAs, which were further verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR) in the following three stages among plasma samples from 200 NPC patients and 189 healthy donors (as normal controls [NCs]). The identified miRNAs were further explored in tissue specimens (48 NPC vs 32 NCs) and plasma exosomes (32 NPC vs 32 NCs). Survival analyses were ultimately conducted by Cox regression models and Kaplan-Meier curves using log-rank tests. RESULTS: We identified a 7-miRNA signature including let-7b-5p, miR-140-3p, miR-144-3p, miR-17-5p, miR-20a-5p, miR-20b-5p, and miR-205-5p in plasma for NPC diagnosis after four-stage validation. The areas under the receiver operating characteristic curve (AUCs) for the signature were 0.879, 0.884, 0.921, and 0.807 for the training, testing, external validation stage, and the combined three stages, respectively. In NPC tissues, miR-144-3p, miR-17-5p, miR-20a-5p, and miR-205-5p were consistently up-regulated while let-7b-5p and miR-140-3p were significantly down-regulated compared to NCs. However, none of the seven identified miRNAs were dysregulated in plasma-derived exosomes in NPC patients. As to survival analysis, none of the seven miRNAs seemed to be associated with NPC prognosis. CONCLUSION: We identified a 7-miRNA signature in plasma as promising non-invasive biomarkers for NPC detection. SN - 2045-7634 UR - https://www.unboundmedicine.com/medline/citation/31856390/Identification_of_a_7_microRNA_signature_in_plasma_as_promising_biomarker_for_nasopharyngeal_carcinoma_detection_ DB - PRIME DP - Unbound Medicine ER -