scholarly journals A Hybrid Model to Support the Early Diagnosis of Breast Cancer

2016 ◽  
Vol 91 ◽  
pp. 927-934 ◽  
Author(s):  
Davi Carvalho ◽  
Plácido Rogerio Pinheiro ◽  
Mirian Calíope Dantas Pinheiro
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Hybrid Model

scholarly journals Advanced and futuristic approaches for breast cancer diagnosis

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jayanti Mishra ◽  
Bhumika Kumar ◽  
Monika Targhotra ◽  
P. K. Sahoo
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Diagnostic Techniques ◽  
Main Body ◽  
Detection Techniques ◽  
Initial Stage ◽  
Common Causes ◽  
Delay In Treatment

Abstract Background Breast cancer is the most frequent cancer and one of the most common causes of death in women, impacting almost 2 million women each year. Tenacity or perseverance of breast cancer in women is very high these days with an extensive increasing rate of 3 to 5% every year. Along with hurdles faced during treatment of breast tumor, one of the crucial causes of delay in treatment is invasive and poor diagnostic techniques for breast cancer hence the early diagnosis of breast tumors will help us to improve its management and treatment in the initial stage. Main body Present review aims to explore diagnostic techniques for breast cancer that are currently being used, recent advancements that aids in prior detection and evaluation and are extensively focused on techniques that are going to be future of breast cancer detection with better efficiency and lesser pain to patients so that it helps to a physician to prevent delay in treatment of cancer. Here, we have discussed mammography and its advanced forms that are the need of current era, techniques involving radiation such as radionuclide methods, the potential of nanotechnology by using nanoparticle in breast cancer, and how the new inventions such as breath biopsy, and X-ray diffraction of hair can simply use as a prominent method in breast cancer early and easy detection tool. Conclusion It is observed significantly that advancement in detection techniques is helping in early diagnosis of breast cancer; however, we have to also focus on techniques that will improve the future of cancer diagnosis in like optical imaging and HER2 testing.

scholarly journals Genomic instability-derived plasma extracellular vesicle-microRNA signature as a minimally invasive predictor of risk and unfavorable prognosis in breast cancer

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Siqi Bao ◽  
Ting Hu ◽  
Jiaqi Liu ◽  
Jianzhong Su ◽  
Jie Sun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Minimally Invasive ◽  
Genomic Instability ◽  
Extracellular Vesicles ◽  
Disease Risk ◽  
Prognostic Indicator ◽  
Mirna Regulation ◽  
Mirna Signature ◽  
Operating Characteristics

Abstract Background Breast cancer (BC) is the most frequently diagnosed cancer and the leading cause of cancer-associated deaths in women. Recent studies have indicated that microRNA (miRNA) regulation in genomic instability (GI) is associated with disease risk and clinical outcome. Herein, we aimed to identify the GI-derived miRNA signature in extracellular vesicles (EVs) as a minimally invasive biomarker for early diagnosis and prognostic risk stratification. Experimental design Integrative analysis of miRNA expression and somatic mutation profiles was performed to identify GI-associated miRNAs. Then, we constructed a discovery and validation study with multicenter prospective cohorts. The GI-derived miRNA signature (miGISig) was developed in the TCGA discovery cohort (n = 261), and was subsequently independently validated in internal TCGA validation (n = 261) and GSE22220 (n = 210) cohorts for prognosis prediction, and in GSE73002 (n = 3966), GSE41922 (n = 54), and in-house clinical exosome (n = 30) cohorts for diagnostic performance. Results We identified a GI-derived three miRNA signature (MIR421, MIR128-1 and MIR128-2) in the serum extracellular vesicles of BC patients, which was significantly associated with poor prognosis in all the cohorts tested and remained as an independent prognostic factor using multivariate analyses. When integrated with the clinical characteristics, the composite miRNA-clinical prognostic indicator showed improved prognostic performance. The miGISig also showed high accuracy in differentiating BC from healthy controls with the area under the receiver operating characteristics curve (ROC) with 0.915, 0.794 and 0.772 in GSE73002, GSE41922 and TCGA cohorts, respectively. Furthermore, circulating EVs from BC patients in the in-house cohort harbored elevated levels of miGISig, with effective diagnostic accuracy. Conclusions We report a novel GI-derived three miRNA signature in EVs, as an excellent minimally invasive biomarker for the early diagnosis and unfavorable prognosis in BC.

Benefits of the quality assured double and arbitration reading of mammograms in the early diagnosis of breast cancer in symptomatic women

2011 ◽  
Vol 22 (5) ◽  
pp. 1014-1022 ◽  
Author(s):  
Annika Waldmann ◽  
Smaragda Kapsimalakou ◽  
Alexander Katalinic ◽  
Isabell Grande-Nagel ◽  
Beate M. Stoeckelhuber ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis

Protein biomarkers in breast cancer-derived extracellular vesicles for use in liquid biopsies

2021 ◽  
Author(s):  
Dan Li ◽  
Wenjia Lai ◽  
Di Fan ◽  
Qiaojun Fang
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Breast Cancer Diagnosis ◽  
Extracellular Vesicle ◽  
Detection Methods ◽  
Protein Markers ◽  
Liquid Biopsies ◽  
Diagnosis And Prognosis

Breast cancer is the most common malignant disease in women worldwide. Early diagnosis and treatment can greatly improve the management of breast cancer. Liquid biopsies are becoming convenient detection methods for diagnosing and monitoring breast cancer due to their non-invasiveness and ability to provide real-time feedback. A range of liquid biopsy markers, including circulating tumor proteins, circulating tumor cells, and circulating tumor nucleic acids, have been implemented for breast cancer diagnosis and prognosis, with each having its own advantages and limitations. Circulating extracellular vesicles are messengers of intercellular communication that are packed with information from mother cells and are found in a wide variety of bodily fluids; thus, they are emerging as ideal candidates for liquid biopsy biomarkers. In this review, we summarize extracellular vesicle protein markers that can be potentially used for the early diagnosis and prognosis of breast cancer or determining its specific subtypes.

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