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

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          Abstract

          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.

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          Most cited references154

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          Current cancer situation in China: good or bad news from the 2018 Global Cancer Statistics?

          Cancer is the leading cause of death in China and depicting the cancer pattern of China would provide basic knowhows on how to tackle it more effectively. In this study we have reviewed several reports of cancer burden, including the Global cancer statistics 2018 and Cancer statistics in China, 2015, along with the GLOBCAN 2018 online database, to investigate the differences of cancer patterns between China, the United States (USA) and the United Kingdom (UK). An estimated 4.3 million new cancer cases and 2.9 million new cancer deaths occurred in China in 2018. Compared to the USA and UK, China has lower cancer incidence but a 30% and 40% higher cancer mortality than the UK and USA, among which 36.4% of the cancer-related deaths were from the digestive tract cancers (stomach, liver, and esophagus cancer) and have relatively poorer prognoses. In comparison, the digestive cancer deaths only took up ≤ 5% of the total cancer deaths in either USA or UK. Other reasons for the higher mortality in China may be the low rate of early-stage cancers at diagnosis and non-uniformed clinical cancer treatment strategies performed by different regions. China is undergoing the cancer transition stage where the cancer spectrum is changing from developing country to developed country, with a rapidly increase cancer burden of colorectal, prostate, female breast cancers in addition to a high occurrence of infection-related and digestive cancers. The incidence of westernized lifestyle-related cancers in China (i.e. colorectal cancer, prostate, bladder cancer) has risen but the incidence of the digestive cancers has decreased from 2000 to 2011. An estimated 40% of the risk factors can be attributed to environmental and lifestyle factors either in China or other developed countries. Tobacco smoking is the single most important carcinogenic risk factor in China, contributing to ~ 24.5% of cancers in males. Chronic infection is another important preventable cancer contributor which is responsible for ~ 17% of cancers. Comprehensive prevention and control strategies in China should include effective tobacco-control policy, recommendations for healthier lifestyles, along with enlarging the coverage of effective screening, educating, and vaccination programs to better sensitize greater awareness control to the general public.
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            Computational flow cytometry: helping to make sense of high-dimensional immunology data.

            Recent advances in flow cytometry allow scientists to measure an increasing number of parameters per cell, generating huge and high-dimensional datasets. To analyse, visualize and interpret these data, newly available computational techniques should be adopted, evaluated and improved upon by the immunological community. Computational flow cytometry is emerging as an important new field at the intersection of immunology and computational biology; it allows new biological knowledge to be extracted from high-throughput single-cell data. This Review provides non-experts with a broad and practical overview of the many recent developments in computational flow cytometry.
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              An integrated nanoliter DNA analysis device.

              A device was developed that uses microfabricated fluidic channels, heaters, temperature sensors, and fluorescence detectors to analyze nanoliter-size DNA samples. The device is capable of measuring aqueous reagent and DNA-containing solutions, mixing the solutions together, amplifying or digesting the DNA to form discrete products, and separating and detecting those products. No external lenses, heaters, or mechanical pumps are necessary for complete sample processing and analysis. Because all of the components are made using conventional photolithographic production techniques, they operate as a single closed system. The components have the potential for assembly into complex, low-power, integrated analysis systems at low unit cost. The availability of portable, reliable instruments may facilitate the use of DNA analysis in applications such as rapid medical diagnostics and point-of-use agricultural testing.
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                Author and article information

                Contributors
                chenzhu220@163.com
                sosong1980@gmail.com
                fjuangy@126.com
                Journal
                Cell Prolif
                Cell Prolif
                10.1111/(ISSN)1365-2184
                CPR
                Cell Proliferation
                John Wiley and Sons Inc. (Hoboken )
                0960-7722
                1365-2184
                12 June 2020
                July 2020
                : 53
                : 7 ( doiID: 10.1111/cpr.v53.7 )
                : e12822
                Affiliations
                [ 1 ] Hunan Key Laboratory of Biomedical Nanomaterials and Devices Hunan University of Technology Zhuzhou China
                [ 2 ] State Key Laboratory of Bioelectronics School of Biological and Medical Engineering Southeast University Nanjing China
                [ 3 ] Surgery Department of Galactophore Central Hospital of Zhuzhou City Zhuzhou China
                [ 4 ] School of Life Sciences and Bioengineering (LiSBE) The Nelson Mandela African Institution of Science and Technology (NM‐AIST) Arusha Tanzania
                [ 5 ] Hunan Provincial Key Lab of Dark Tea and Jin‐hua School of Materials and Chemical Engineering Hunan City University Yiyang China
                [ 6 ] School of Medicine South China University of Technology Guangzhou China
                Author notes
                [*] [* ] Correspondence

                Zhu Chen and Song Li, Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China.

                Emails: chenzhu220@ 123456163.com (ZC); sosong1980@ 123456gmail.com (SL)

                Juan Fu, School of Medicine, South China University of Technology, Guangzhou 510006, China.

                Email: fjuangy@ 123456126.com

                Author information
                https://orcid.org/0000-0002-1246-3390
                Article
                CPR12822
                10.1111/cpr.12822
                7377933
                32530560
                78b17854-9ff3-4099-902b-73ae10e359b7
                © 2020 The Authors. Cell Proliferation published by John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 November 2019
                : 10 March 2020
                : 30 March 2020
                Page count
                Figures: 8, Tables: 3, Pages: 16, Words: 12938
                Funding
                Funded by: National Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 61901168
                Award ID: 61971187
                Award ID: 61571187
                Award ID: 61527806
                Award ID: 61871180
                Funded by: Hunan Provincial Natural Science Foundation of China , open-funder-registry 10.13039/501100004735;
                Award ID: 2019JJ50122
                Funded by: Hunan Key Research Project
                Award ID: 2017SK2174
                Funded by: China Postdoctoral Science Foundation , open-funder-registry 10.13039/501100002858;
                Award ID: 2018M630498
                Funded by: Education Department Outstanding Young Project of Hunan
                Award ID: 18B299
                Categories
                Review Article
                Reviews
                Custom metadata
                2.0
                July 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.5 mode:remove_FC converted:23.07.2020

                Cell biology
                Cell biology

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