Cargando…

Identification of Three Circulating MicroRNAs in Plasma as Clinical Biomarkers for Breast Cancer Detection

The diagnostic value of microRNAs (miRNAs) for breast cancer (BC) is largely unknown. Here, our research aim was to explore new circulating miRNAs for BC diagnosis. First, we identified 14 common differentially expressed miRNAs in tissues by TCGA_BRCA and GSE97811 datasets and preliminarily validate...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shuang, Li, Lijuan, Yang, Mengmeng, Wang, Xiaoyan, Zhang, Huan, Wu, Nan, Jia, Kaichao, Wang, Junchao, Li, Menghui, Wei, Lijuan, Liu, Juntian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821655/
https://www.ncbi.nlm.nih.gov/pubmed/36615122
http://dx.doi.org/10.3390/jcm12010322
_version_ 1784865750121447424
author Wang, Shuang
Li, Lijuan
Yang, Mengmeng
Wang, Xiaoyan
Zhang, Huan
Wu, Nan
Jia, Kaichao
Wang, Junchao
Li, Menghui
Wei, Lijuan
Liu, Juntian
author_facet Wang, Shuang
Li, Lijuan
Yang, Mengmeng
Wang, Xiaoyan
Zhang, Huan
Wu, Nan
Jia, Kaichao
Wang, Junchao
Li, Menghui
Wei, Lijuan
Liu, Juntian
author_sort Wang, Shuang
collection PubMed
description The diagnostic value of microRNAs (miRNAs) for breast cancer (BC) is largely unknown. Here, our research aim was to explore new circulating miRNAs for BC diagnosis. First, we identified 14 common differentially expressed miRNAs in tissues by TCGA_BRCA and GSE97811 datasets and preliminarily validated them in serum by the GSE73002 dataset. Furthermore, we examined three plasma miRNAs in BC patients (n = 108) and healthy subjects (n = 103) by RT–PCR, namely, hsa-miR-100-5p, hsa-miR-191-5p and hsa-miR-342-3p. The levels of these three miRNAs in BC patients were higher than those in healthy controls (p < 0.05). The ROC curve analysis revealed that these three miRNAs had high diagnostic efficacy for BC and early-stage BC. The combination of hsa-miR-100-5p and hsa-miR-191-5p was the optimal combination for the diagnosis of BC and early-stage BC. Additionally, hsa-miR-100-5p was correlated with stage I–II, T1 stage, N0 stage and Luminal A subtype (p < 0.05). Hsa-miR-191-5p and hsa-miR-342-3p were irrelevant to TNM stage, T stage, N stage and molecular subtypes. Meanwhile, the biological function analysis indicated that these three miRNAs are mainly involved in the calcium signaling pathway, MAPK signaling pathway and microRNAs in cancer. In conclusion, these three miRNAs demonstrate a positive effect on detection and discovery in BC.
format Online
Article
Text
id pubmed-9821655
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98216552023-01-07 Identification of Three Circulating MicroRNAs in Plasma as Clinical Biomarkers for Breast Cancer Detection Wang, Shuang Li, Lijuan Yang, Mengmeng Wang, Xiaoyan Zhang, Huan Wu, Nan Jia, Kaichao Wang, Junchao Li, Menghui Wei, Lijuan Liu, Juntian J Clin Med Article The diagnostic value of microRNAs (miRNAs) for breast cancer (BC) is largely unknown. Here, our research aim was to explore new circulating miRNAs for BC diagnosis. First, we identified 14 common differentially expressed miRNAs in tissues by TCGA_BRCA and GSE97811 datasets and preliminarily validated them in serum by the GSE73002 dataset. Furthermore, we examined three plasma miRNAs in BC patients (n = 108) and healthy subjects (n = 103) by RT–PCR, namely, hsa-miR-100-5p, hsa-miR-191-5p and hsa-miR-342-3p. The levels of these three miRNAs in BC patients were higher than those in healthy controls (p < 0.05). The ROC curve analysis revealed that these three miRNAs had high diagnostic efficacy for BC and early-stage BC. The combination of hsa-miR-100-5p and hsa-miR-191-5p was the optimal combination for the diagnosis of BC and early-stage BC. Additionally, hsa-miR-100-5p was correlated with stage I–II, T1 stage, N0 stage and Luminal A subtype (p < 0.05). Hsa-miR-191-5p and hsa-miR-342-3p were irrelevant to TNM stage, T stage, N stage and molecular subtypes. Meanwhile, the biological function analysis indicated that these three miRNAs are mainly involved in the calcium signaling pathway, MAPK signaling pathway and microRNAs in cancer. In conclusion, these three miRNAs demonstrate a positive effect on detection and discovery in BC. MDPI 2022-12-31 /pmc/articles/PMC9821655/ /pubmed/36615122 http://dx.doi.org/10.3390/jcm12010322 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Shuang
Li, Lijuan
Yang, Mengmeng
Wang, Xiaoyan
Zhang, Huan
Wu, Nan
Jia, Kaichao
Wang, Junchao
Li, Menghui
Wei, Lijuan
Liu, Juntian
Identification of Three Circulating MicroRNAs in Plasma as Clinical Biomarkers for Breast Cancer Detection
title Identification of Three Circulating MicroRNAs in Plasma as Clinical Biomarkers for Breast Cancer Detection
title_full Identification of Three Circulating MicroRNAs in Plasma as Clinical Biomarkers for Breast Cancer Detection
title_fullStr Identification of Three Circulating MicroRNAs in Plasma as Clinical Biomarkers for Breast Cancer Detection
title_full_unstemmed Identification of Three Circulating MicroRNAs in Plasma as Clinical Biomarkers for Breast Cancer Detection
title_short Identification of Three Circulating MicroRNAs in Plasma as Clinical Biomarkers for Breast Cancer Detection
title_sort identification of three circulating micrornas in plasma as clinical biomarkers for breast cancer detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821655/
https://www.ncbi.nlm.nih.gov/pubmed/36615122
http://dx.doi.org/10.3390/jcm12010322
work_keys_str_mv AT wangshuang identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT lilijuan identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT yangmengmeng identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT wangxiaoyan identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT zhanghuan identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT wunan identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT jiakaichao identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT wangjunchao identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT limenghui identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT weilijuan identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection
AT liujuntian identificationofthreecirculatingmicrornasinplasmaasclinicalbiomarkersforbreastcancerdetection