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Evaluation of miR‐130 family members as circulating biomarkers for the diagnosis of bladder cancer

OBJECTIVE: Previous research has shown that the miR‐130 family is closely related to the occurrence and development of bladder cancer. We hope to use the miR‐130 family members as new, non‐invasive, and easily detectable biomarkers for bladder cancer. METHODS: We analyzed 428 cases in The Cancer Gen...

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Autores principales: Wang, Jingyao, Zhao, Liwen, Peng, Xiqi, Liu, Kaihao, Zhang, Chunduo, Chen, Xuan, Han, Yanni, Lai, Yongqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755799/
https://www.ncbi.nlm.nih.gov/pubmed/32761678
http://dx.doi.org/10.1002/jcla.23517
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author Wang, Jingyao
Zhao, Liwen
Peng, Xiqi
Liu, Kaihao
Zhang, Chunduo
Chen, Xuan
Han, Yanni
Lai, Yongqing
author_facet Wang, Jingyao
Zhao, Liwen
Peng, Xiqi
Liu, Kaihao
Zhang, Chunduo
Chen, Xuan
Han, Yanni
Lai, Yongqing
author_sort Wang, Jingyao
collection PubMed
description OBJECTIVE: Previous research has shown that the miR‐130 family is closely related to the occurrence and development of bladder cancer. We hope to use the miR‐130 family members as new, non‐invasive, and easily detectable biomarkers for bladder cancer. METHODS: We analyzed 428 cases in The Cancer Genome Atlas‐Bladder Urothelial Carcinoma database and verified that the miR‐130 family members were significantly overexpressed in bladder cancer. A total of 74 bladder cancer patients and 90 controls were enrolled. The relative expression of the miR‐130 family in serum was detected using quantitative reverse transcription‐polymerase chain reaction. The diagnostic efficacy of the miR‐130 family members was determined using the receiver operating characteristic method (ROC), and a diagnostic panel was built using logistic regression. The results of the study were further confirmed in an external validation set of 492 samples from the Gene Expression Omnibus database. RESULTS: The expression of the miR‐130 family members (except for miR‐301b‐3p) in the serum of bladder cancer patients was higher than that in the controls. The diagnostic capabilities for bladder cancer were 0.847 (miR‐130a‐3p), 0.762 (miR‐130b‐3p), and 0.892 (miR‐301a‐3p). We established a three‐miRNA panel with an area under the ROC curve as high as 0.961, indicating that it is a promising clinical diagnostic biomarker of bladder cancer with high sensitivity and specificity. CONCLUSION: The expression levels of miR‐130 family members in serum can effectively distinguish the bladder cancer patients from healthy controls. This finding will facilitate the clinical diagnosis of bladder cancer.
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spelling pubmed-77557992020-12-23 Evaluation of miR‐130 family members as circulating biomarkers for the diagnosis of bladder cancer Wang, Jingyao Zhao, Liwen Peng, Xiqi Liu, Kaihao Zhang, Chunduo Chen, Xuan Han, Yanni Lai, Yongqing J Clin Lab Anal Research Articles OBJECTIVE: Previous research has shown that the miR‐130 family is closely related to the occurrence and development of bladder cancer. We hope to use the miR‐130 family members as new, non‐invasive, and easily detectable biomarkers for bladder cancer. METHODS: We analyzed 428 cases in The Cancer Genome Atlas‐Bladder Urothelial Carcinoma database and verified that the miR‐130 family members were significantly overexpressed in bladder cancer. A total of 74 bladder cancer patients and 90 controls were enrolled. The relative expression of the miR‐130 family in serum was detected using quantitative reverse transcription‐polymerase chain reaction. The diagnostic efficacy of the miR‐130 family members was determined using the receiver operating characteristic method (ROC), and a diagnostic panel was built using logistic regression. The results of the study were further confirmed in an external validation set of 492 samples from the Gene Expression Omnibus database. RESULTS: The expression of the miR‐130 family members (except for miR‐301b‐3p) in the serum of bladder cancer patients was higher than that in the controls. The diagnostic capabilities for bladder cancer were 0.847 (miR‐130a‐3p), 0.762 (miR‐130b‐3p), and 0.892 (miR‐301a‐3p). We established a three‐miRNA panel with an area under the ROC curve as high as 0.961, indicating that it is a promising clinical diagnostic biomarker of bladder cancer with high sensitivity and specificity. CONCLUSION: The expression levels of miR‐130 family members in serum can effectively distinguish the bladder cancer patients from healthy controls. This finding will facilitate the clinical diagnosis of bladder cancer. John Wiley and Sons Inc. 2020-08-05 /pmc/articles/PMC7755799/ /pubmed/32761678 http://dx.doi.org/10.1002/jcla.23517 Text en © 2020 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Wang, Jingyao
Zhao, Liwen
Peng, Xiqi
Liu, Kaihao
Zhang, Chunduo
Chen, Xuan
Han, Yanni
Lai, Yongqing
Evaluation of miR‐130 family members as circulating biomarkers for the diagnosis of bladder cancer
title Evaluation of miR‐130 family members as circulating biomarkers for the diagnosis of bladder cancer
title_full Evaluation of miR‐130 family members as circulating biomarkers for the diagnosis of bladder cancer
title_fullStr Evaluation of miR‐130 family members as circulating biomarkers for the diagnosis of bladder cancer
title_full_unstemmed Evaluation of miR‐130 family members as circulating biomarkers for the diagnosis of bladder cancer
title_short Evaluation of miR‐130 family members as circulating biomarkers for the diagnosis of bladder cancer
title_sort evaluation of mir‐130 family members as circulating biomarkers for the diagnosis of bladder cancer
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755799/
https://www.ncbi.nlm.nih.gov/pubmed/32761678
http://dx.doi.org/10.1002/jcla.23517
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