A review on methods for diagnosis of breast cancer cells and tissues.

Journal: Cell proliferation

Volume: 53

Issue: 7

Year of Publication: 2020

Affiliated Institutions:  Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China. Surgery Department of Galactophore, Central Hospital of Zhuzhou City, Zhuzhou, China. School of Life Sciences and Bioengineering (LiSBE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania. Hunan Provincial Key Lab of Dark Tea and Jin-hua, School of Materials and Chemical Engineering, Hunan City University, Yiyang, China. School of Medicine, South China University of Technology, Guangzhou, China.

Abstract summary 

Breast cancer has seriously been threatening physical and mental health of women in the world, and its morbidity and mortality also show clearly upward trend in China over time. Through inquiry, we find that survival rate of patients with early-stage breast cancer is significantly higher than those with middle- and late-stage breast cancer, hence, it is essential to conduct research to quickly diagnose breast cancer. Until now, many methods for diagnosing breast cancer have been developed, mainly based on imaging and molecular biotechnology examination. These methods have great contributions in screening and confirmation of breast cancer. In this review article, we introduce and elaborate the advances of these methods, and then conclude some gold standard diagnostic methods for certain breast cancer patients. We lastly discuss how to choose the most suitable diagnostic methods for breast cancer patients. In general, this article not only summarizes application and development of these diagnostic methods, but also provides the guidance for researchers who work on diagnosis of breast cancer.

Authors & Co-authors:  He Ziyu Z Chen Zhu Z Tan Miduo M Elingarami Sauli S Liu Yuan Y Li Taotao T Deng Yan Y He Nongyue N Li Song S Fu Juan J Li Wen W

Study Outcome 

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Statistics
Citations :  DeSantis CE, Ma J, Gaudet MM, et al. Breast cancer statistics, 2019. CA Cancer J Clin. 2018;69(6):438‐451.
Authors :  11
Identifiers
Doi : e12822
SSN : 1365-2184
Study Population
Women
Mesh Terms
Breast Neoplasms
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
England