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Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers
Introduction: Circulating non-coding RNA is an ideal source to discover novel biomarkers for non-invasive screening. However, studies for the discovery of universal miRNAs in serum and exosomes for breast cancer early diagnosis are limited. Methods: Based on bioinformatic analysis, in vitro and in v...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906147/ https://www.ncbi.nlm.nih.gov/pubmed/33493140 http://dx.doi.org/10.18632/aging.202388 |
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author | Liu, Dongdong Li, Beibei Shi, Xiaoshun Zhang, Jiexia Chen, Allen Menglin Xu, Jiarui Wang, Wan Huang, Kailing Gao, Jinwei Zheng, Zhouxia Liu, Dan Wang, Huimin Shi, Wen Chen, Lin Xu, Jianhua |
author_facet | Liu, Dongdong Li, Beibei Shi, Xiaoshun Zhang, Jiexia Chen, Allen Menglin Xu, Jiarui Wang, Wan Huang, Kailing Gao, Jinwei Zheng, Zhouxia Liu, Dan Wang, Huimin Shi, Wen Chen, Lin Xu, Jianhua |
author_sort | Liu, Dongdong |
collection | PubMed |
description | Introduction: Circulating non-coding RNA is an ideal source to discover novel biomarkers for non-invasive screening. However, studies for the discovery of universal miRNAs in serum and exosomes for breast cancer early diagnosis are limited. Methods: Based on bioinformatic analysis, in vitro and in vivo studies were performed to understand the role of identified hsa-miR-423-5p in cancer proliferation, migration, cancer stem cell properties. Next, global non-coding RNA expression profiles in blood serum and exosome were performed. hsa-miR-423-5p expression from a total of 356 peripheral blood samples was evaluated and the association of hsa-miR-423-5p expression with clinical characteristics, sensitivity and specificity for breast cancer diagnosis were assessed. Results: The expression of serum and exosomal hsa-miR-423-5p is abnormally increased in breast cancer. Suppression of hsa-miR-423-5p inhibited cell proliferation and invasion in both T47D and MDA-MB-231 breast cancer cell lines, and tumor growth in vivo. Compared with 113 healthy women, quantification analysis of hsa-miR-423-5p in 224 breast cancer samples confirmed the abnormal expression. Serum hsa-miR-423-5p was significantly associated with the clinical stage (P=0.001) and Ki-67 level (P=0.004). Conclusions: A translational bioinformatics analysis procedure and validation by in vitro, in vivo, and clinical samples reveal that hsa-miR-423-5p could be used as a non-invasive breast cancer biomarker. |
format | Online Article Text |
id | pubmed-7906147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-79061472021-03-04 Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers Liu, Dongdong Li, Beibei Shi, Xiaoshun Zhang, Jiexia Chen, Allen Menglin Xu, Jiarui Wang, Wan Huang, Kailing Gao, Jinwei Zheng, Zhouxia Liu, Dan Wang, Huimin Shi, Wen Chen, Lin Xu, Jianhua Aging (Albany NY) Research Paper Introduction: Circulating non-coding RNA is an ideal source to discover novel biomarkers for non-invasive screening. However, studies for the discovery of universal miRNAs in serum and exosomes for breast cancer early diagnosis are limited. Methods: Based on bioinformatic analysis, in vitro and in vivo studies were performed to understand the role of identified hsa-miR-423-5p in cancer proliferation, migration, cancer stem cell properties. Next, global non-coding RNA expression profiles in blood serum and exosome were performed. hsa-miR-423-5p expression from a total of 356 peripheral blood samples was evaluated and the association of hsa-miR-423-5p expression with clinical characteristics, sensitivity and specificity for breast cancer diagnosis were assessed. Results: The expression of serum and exosomal hsa-miR-423-5p is abnormally increased in breast cancer. Suppression of hsa-miR-423-5p inhibited cell proliferation and invasion in both T47D and MDA-MB-231 breast cancer cell lines, and tumor growth in vivo. Compared with 113 healthy women, quantification analysis of hsa-miR-423-5p in 224 breast cancer samples confirmed the abnormal expression. Serum hsa-miR-423-5p was significantly associated with the clinical stage (P=0.001) and Ki-67 level (P=0.004). Conclusions: A translational bioinformatics analysis procedure and validation by in vitro, in vivo, and clinical samples reveal that hsa-miR-423-5p could be used as a non-invasive breast cancer biomarker. Impact Journals 2021-01-20 /pmc/articles/PMC7906147/ /pubmed/33493140 http://dx.doi.org/10.18632/aging.202388 Text en Copyright: © 2021 Liu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liu, Dongdong Li, Beibei Shi, Xiaoshun Zhang, Jiexia Chen, Allen Menglin Xu, Jiarui Wang, Wan Huang, Kailing Gao, Jinwei Zheng, Zhouxia Liu, Dan Wang, Huimin Shi, Wen Chen, Lin Xu, Jianhua Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers |
title | Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers |
title_full | Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers |
title_fullStr | Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers |
title_full_unstemmed | Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers |
title_short | Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers |
title_sort | cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906147/ https://www.ncbi.nlm.nih.gov/pubmed/33493140 http://dx.doi.org/10.18632/aging.202388 |
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