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Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer
BACKGROUND: As one of the many breast cancer subtypes, human epidermal growth factor receptor 2 (Her2)-positive breast cancer has higher invasiveness and poor prognosis, although the advent of anti-Her2 drugs has brought good news to patients. However, the emergence of drug resistance still limits i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161270/ https://www.ncbi.nlm.nih.gov/pubmed/32322168 http://dx.doi.org/10.1186/s12935-020-01175-1 |
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author | Gao, Chundi Zhuang, Jing Li, Huayao Liu, Cun Zhou, Chao Liu, Lijuan Feng, Fubin Sun, Changgang Wu, Jibiao |
author_facet | Gao, Chundi Zhuang, Jing Li, Huayao Liu, Cun Zhou, Chao Liu, Lijuan Feng, Fubin Sun, Changgang Wu, Jibiao |
author_sort | Gao, Chundi |
collection | PubMed |
description | BACKGROUND: As one of the many breast cancer subtypes, human epidermal growth factor receptor 2 (Her2)-positive breast cancer has higher invasiveness and poor prognosis, although the advent of anti-Her2 drugs has brought good news to patients. However, the emergence of drug resistance still limits its clinical efficacy, so there is an urgent need to explore new targets and develop a risk scoring system to improve treatments and evaluate patient prognosis. METHODS: Differentially expressed mRNAs associated with Her2-positive breast cancer were screened from a TCGA cohort. The prognostic risk scoring system was constructed according to univariate and Lasso Cox regression model analyses and combined with clinical factors (such as age and TNM) for univariate and multivariate analyses to verify the specificity and sensitivity of the risk scoring system. Finally, based on correlation and CNV mutation analyses, we explored the research value of the mRNAs involved in the system as key genes of the model. RESULTS: In this study, six mRNAs were screened and identified to construct a prognostic risk scoring system, including four up-regulated mRNA (RDH16, SPC25, SPC24, and SCUBE3) and two down-regulated mRNA (DGAT2 and CCDC69). The risk scoring system can divide Her2-positive breast cancer samples into high-risk and low-risk groups to evaluate patient prognosis. In addition, whether through the time-dependent receiver operating characteristics curve or compared with clinical factors, the risk scoring system showed high predictive sensitivity and specificity. Moreover, some CNV mutations in mRNA increase patient risk by influencing expression levels. CONCLUSION: The risk scoring system constructed in this study is helpful to improve the screening of high-risk patients with Her2-positive breast cancer and is beneficial for implementing early diagnosis and personalized treatment. It is suggested that these mRNAs may play an important role in the progression of Her2-positive breast cancer. |
format | Online Article Text |
id | pubmed-7161270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71612702020-04-22 Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer Gao, Chundi Zhuang, Jing Li, Huayao Liu, Cun Zhou, Chao Liu, Lijuan Feng, Fubin Sun, Changgang Wu, Jibiao Cancer Cell Int Primary Research BACKGROUND: As one of the many breast cancer subtypes, human epidermal growth factor receptor 2 (Her2)-positive breast cancer has higher invasiveness and poor prognosis, although the advent of anti-Her2 drugs has brought good news to patients. However, the emergence of drug resistance still limits its clinical efficacy, so there is an urgent need to explore new targets and develop a risk scoring system to improve treatments and evaluate patient prognosis. METHODS: Differentially expressed mRNAs associated with Her2-positive breast cancer were screened from a TCGA cohort. The prognostic risk scoring system was constructed according to univariate and Lasso Cox regression model analyses and combined with clinical factors (such as age and TNM) for univariate and multivariate analyses to verify the specificity and sensitivity of the risk scoring system. Finally, based on correlation and CNV mutation analyses, we explored the research value of the mRNAs involved in the system as key genes of the model. RESULTS: In this study, six mRNAs were screened and identified to construct a prognostic risk scoring system, including four up-regulated mRNA (RDH16, SPC25, SPC24, and SCUBE3) and two down-regulated mRNA (DGAT2 and CCDC69). The risk scoring system can divide Her2-positive breast cancer samples into high-risk and low-risk groups to evaluate patient prognosis. In addition, whether through the time-dependent receiver operating characteristics curve or compared with clinical factors, the risk scoring system showed high predictive sensitivity and specificity. Moreover, some CNV mutations in mRNA increase patient risk by influencing expression levels. CONCLUSION: The risk scoring system constructed in this study is helpful to improve the screening of high-risk patients with Her2-positive breast cancer and is beneficial for implementing early diagnosis and personalized treatment. It is suggested that these mRNAs may play an important role in the progression of Her2-positive breast cancer. BioMed Central 2020-04-15 /pmc/articles/PMC7161270/ /pubmed/32322168 http://dx.doi.org/10.1186/s12935-020-01175-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Primary Research Gao, Chundi Zhuang, Jing Li, Huayao Liu, Cun Zhou, Chao Liu, Lijuan Feng, Fubin Sun, Changgang Wu, Jibiao Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer |
title | Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer |
title_full | Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer |
title_fullStr | Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer |
title_full_unstemmed | Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer |
title_short | Development of a risk scoring system for evaluating the prognosis of patients with Her2-positive breast cancer |
title_sort | development of a risk scoring system for evaluating the prognosis of patients with her2-positive breast cancer |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161270/ https://www.ncbi.nlm.nih.gov/pubmed/32322168 http://dx.doi.org/10.1186/s12935-020-01175-1 |
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