Simple and fast isolation of circulating exosomes with chitosan modified shuttle flow microchip towards breast cancer diagnosis

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Wenwen Chen ◽  
Rongkai Cao ◽  
Wentao Su ◽  
xu zhang ◽  
Yuhai Xu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Medical Treatment ◽  
Cancer Diagnosis ◽  
Biological Samples ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
Early Stage Cancer ◽  
Tumor Prognosis ◽  
Huge Challenge

Tumor-derived exosomes have been recognized as promising biomarkers for early-stage cancer diagnosis, tumor prognosis monitoring and individual medical treatment. However, separating exosomes from trace biological samples is a huge challenge...

scholarly journals A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Lian Zou ◽  
Shaode Yu ◽  
Tiebao Meng ◽  
Zhicheng Zhang ◽  
Xiaokun Liang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Convolutional Neural Network ◽  
Cancer Diagnosis ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
Fine Tuning ◽  
Learning Tools ◽  
Pros And Cons ◽  
Future Work

This study reviews the technique of convolutional neural network (CNN) applied in a specific field of mammographic breast cancer diagnosis (MBCD). It aims to provide several clues on how to use CNN for related tasks. MBCD is a long-standing problem, and massive computer-aided diagnosis models have been proposed. The models of CNN-based MBCD can be broadly categorized into three groups. One is to design shallow or to modify existing models to decrease the time cost as well as the number of instances for training; another is to make the best use of a pretrained CNN by transfer learning and fine-tuning; the third is to take advantage of CNN models for feature extraction, and the differentiation of malignant lesions from benign ones is fulfilled by using machine learning classifiers. This study enrolls peer-reviewed journal publications and presents technical details and pros and cons of each model. Furthermore, the findings, challenges and limitations are summarized and some clues on the future work are also given. Conclusively, CNN-based MBCD is at its early stage, and there is still a long way ahead in achieving the ultimate goal of using deep learning tools to facilitate clinical practice. This review benefits scientific researchers, industrial engineers, and those who are devoted to intelligent cancer diagnosis.

scholarly journals Non-Invasive Biomarkers for Early Detection of Breast Cancer

Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2767
Author(s):  
Jiawei Li ◽  
Xin Guan ◽  
Zhimin Fan ◽  
Lai-Ming Ching ◽  
Yan Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Early Stage ◽  
False Negative ◽  
Breast Cancer Diagnosis ◽  
Diagnostic Biomarkers ◽  
Circulating Micrornas ◽  
Non Invasive ◽  
Common Cancer ◽  
Volatile Organic

Breast cancer is the most common cancer in women worldwide. Accurate early diagnosis of breast cancer is critical in the management of the disease. Although mammogram screening has been widely used for breast cancer screening, high false-positive and false-negative rates and radiation from mammography have always been a concern. Over the last 20 years, the emergence of “omics” strategies has resulted in significant advances in the search for non-invasive biomarkers for breast cancer diagnosis at an early stage. Circulating carcinoma antigens, circulating tumor cells, circulating cell-free tumor nucleic acids (DNA or RNA), circulating microRNAs, and circulating extracellular vesicles in the peripheral blood, nipple aspirate fluid, sweat, urine, and tears, as well as volatile organic compounds in the breath, have emerged as potential non-invasive diagnostic biomarkers to supplement current clinical approaches to earlier detection of breast cancer. In this review, we summarize the current progress of research in these areas.

Mammography use in breast cancer survivors: An administrative claims study.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 6531-6531 ◽  
Author(s):  
Kathryn Jean Ruddy ◽  
Lindsey R. Sangaralingham ◽  
Heather B. Neuman ◽  
Caprice Christian Greenberg ◽  
Rachel A. Freedman ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Tissue ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
First Year ◽  
Administrative Claims ◽  
Mammography Use

6531 Background: Annual mammography is recommended to screen residual breast tissue for new cancers and recurrent disease after treatment for early stage breast cancer. This study aimed to assess mammography rates over time in breast cancer survivors. Methods: We used administrative claims data from a large U.S. commercial insurance database, OptumLabs, to retrospectively identify privately- and Medicare Advantage-insured women with operable breast cancer who had residual breast tissue after definitive breast surgery between 2006 and 2015. We required coverage for at least 13 months following surgery. For each subsequent 13-month time period, we only included women without a loss of coverage, bilateral mastectomy, metastatic breast cancer diagnosis, or non-breast cancer diagnosis. We calculated the proportion of patients who had a mammogram during each 13-month period following breast surgery. We used multivariable logistic regression to test for factors associated with mammography in the first 13 months. Results: The cohort included 26,011 women followed for a median of 2.9 years (IQR 1.9-4.6) after surgery; 63.1% were less than 65 years of age, and 74.4% were white. In their first year of follow-up, 86% underwent mammography, but by year 7, this decreased to 73%. Fewer than 1% underwent MRI instead of mammography. In multivariable analysis, mammograms were less likely during the first year after surgery among women aged < 50 years (odds ratio [OR], 0.7; 95% confidence interval [CI], 0.6 to 0.8), African Americans (OR, 0.7; 95% CI, 0.7 to 0.8), patients who underwent mastectomy (OR, 0.7; 95% CI, 0.6 to 0.7), and patients residing in the Western part of the country (OR, 0.9; 95% CI, 0.7 to 0.9). Those with 1-2 comorbidities were more likely (OR, 1.1; 95% CI 1.1-1.2) than those with none to have a mammogram during that period. Mammography use did not differ significantly by year of diagnosis (2006-2015). Conclusions: Even in an insured cohort, a substantial proportion of breast cancer survivors do not undergo annual surveillance mammography. Mammography use falls as the time from the early stage breast cancer diagnosis increases. Understanding factors associated with lack of mammographic screening may help improve survivorship care.

Loss in working years after a breast cancer diagnosis: A population-based study (Sweden).

2017 ◽  
Vol 35 (5_suppl) ◽  
pp. 209-209
Author(s):  
Mats Lambe ◽  
Paul Lambert ◽  
Irma Fredriksson ◽  
Anna Plym
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Early Stage ◽  
Stage Iv ◽  
Population Level ◽  
Breast Cancer Diagnosis ◽  
Early Stage Disease ◽  
Cancer Data ◽  
Stage Disease ◽  
Working Age

209 Background: More than half of all women with breast cancer are diagnosed during working age. We present a new measure of clinical and public health relevance to estimate the loss in working years after a breast cancer diagnosis. Methods: Women of working age diagnosed with breast cancer between 1997 and 2012 were identified in the Breast Cancer Data Base Sweden (N = 19,661), together with a breast cancer-free comparison cohort (N = 81,303). Women were followed until permanent exit from the labour market (defined as receipt of disability pension, old-age retirement or death) or censoring. Using flexible parametric survival modelling, the loss in working years was calculated as the difference in the remaining years in the work force between women with and women without breast cancer. Results: The loss in working years was most pronounced in women of younger ages and in women with advanced stage disease. Women aged 50 years at diagnosis with stage I disease lost on average 0.6 years (95% CI, 0.4-0.8) of their remaining working time; the corresponding estimates were 1.2 years (1.0-1.5) in stage II, 3.2 years (2.7-3.7) in stage III, and 8.8 years (7.9-9.8) in stage IV disease. Type of treatment was a clear determinant in women with early stage disease, with a higher loss in working years among women treated with axillary surgery, mastectomy and chemotherapy. Conclusions: Our measure provides a new perspective of the burden of breast cancer in women of working age. The modest loss in working years in women with early stage disease is reassuring, although the economic consequences on a population-level are likely to be high given the large number of women diagnosed with breast cancer every year.

The clinical impact of ASCO “choosing wisely” recommendations on staging imaging for early stage breast cancers: An interrupted time-series analysis utilizing SEER-Medicare data.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 2078-2078
Author(s):  
Alan Baltz ◽  
Issam Makhoul ◽  
Eric R Siegel
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Negative Binomial ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
Choosing Wisely ◽  
Breast Cancers ◽  
Interrupted Time Series Analysis ◽  
Medicare Data ◽  
The Impact

2078 Background: The “Choosing Wisely” (CW) list, released by the American Society for Clinical Oncology (ASCO), highlights low-value procedures. In 2012, the CW recommendations advised against the use of staging imaging, including Positron Emission Tomography (PET), Computerized Tomography (CT) and radionuclide bone scans, for the staging of early breast cancer at low risk for metastasis. The objective of this study was therefore to assess the impact of the ASCO CW recommendations on staging imaging among early stage breast cancers. Methods: Women above the age of 66 with an early stage incident breast cancer diagnoses between 2010 and 2015 were identified within the linked SEER-Medicare data. The primary outcome of interest was the proportion of patients with a claim for staging imaging in the six months following the breast cancer diagnosis. Negative binomial regression, adjusting for pre-recommendation trends, was performed to estimate the changes in the rate of imaging staging within each year following the release of the recommendation. Results: A total of 50,004 women were identified during the study period. Prior to the release of the recommendations in 2012, the staging imaging rates among women newly diagnosed with early stage breast cancers were 5% greater in 2010 (p<.01) and 4% greater in 2011 (p<.01). Following the release of the recommendations, staging imaging rates did not decrease significantly in 2013 (2%;p=0.18). Imaging rates did, however, significantly decrease by 13% in 2014 (p<0.01) and by 16% in 2015 (p<0.01). Conclusions: The CW recommendation was associated with a significant decrease in unadvised staging imaging among incident early stage breast cancer diagnosis in the second and third year following its release. These findings demonstrate an improvement in the proportion of potentially inappropriate staging imaging in early stage breast cancers. The creation and dissemination of resources, such as the CW recommendations, serves as a powerful tool to improve clinical practice, quality of care, and patient safety from secondary malignancies, anxiety, and overdiagnosis.

scholarly journals Is early-stage breast cancer a risk for marital-dissolution?

2020 ◽  
Vol 7 (7) ◽  
pp. 566-569
Author(s):  
Fatih Yıldız ◽  
Mehmet Erdem Alagüney
Keyword(s):  
Breast Cancer ◽  
Adjuvant Chemotherapy ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Adjuvant Radiotherapy ◽  
Breast Cancer Survivors ◽  
Early Stage ◽  
Marital Dissolution ◽  
Breast Cancer Diagnosis ◽  
Related Factors

Objective: The effect of breast cancer on family life and marital status is one of the issues to investigate. Our aim in this study is to evaluate the frequency of divorce of breast cancer survivors and to investigate the demographic, disease, and treatment-related factors that may affect the divorce. Material and Methods: We performed this cross-sectional study between January 2020 and May 2020. Inclusion criteria were; women who were married at the time of breast cancer diagnosis, older than 18 years of age, and completed at least 6 months after breast cancer surgery and adjuvant chemotherapy/radiotherapy. The primary aim of this study was to find the marital dissolution rate of the patients after early-stage breast cancer diagnosis and adjuvant treatment. The secondary aim was to investigate the demographics and treatment-related factors affecting the marital status of breast cancer survivors. Results: The median age of 583 women included in the study was 47 (28-72). The median time to stay married was 291.0 months (min-max: 32.5-654.6). The most preferred surgical method in these patients was total mastectomy (n = 364, 62.4%). Adjuvant chemotherapy was applied to 505 (86.6%) patients, adjuvant endocrine therapy to 499 (85.6%) patients, and adjuvant radiotherapy to 460 (78.9%) patients. 21 (3.6%) patients divorced after diagnosis. In univariate analysis, surgery type, adjuvant chemotherapy, adjuvant radiotherapy, and adjuvant endocrine therapy were found to not affect the divorce. Conclusion: In our study, it was observed that the frequency of divorce was higher in breast cancer survivors than the general population, and breast surgery type and adjuvant treatments did not cause an increase in the risk of divorce.

scholarly journals 1037 One Year Trajectory of Insomnia and Comorbid Symptoms in Women With Early Stage Breast Cancer

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A394-A394
Author(s):  
K Mahon ◽  
S N Garland ◽  
J Tulk ◽  
J Rash ◽  
M Seal ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Early Stage ◽  
Hot Flashes ◽  
Breast Cancer Diagnosis ◽  
Early Stage Breast Cancer ◽  
Anxiety And Depression ◽  
One Year ◽  
Insomnia Symptoms ◽  
Insomnia Severity

Abstract Introduction Insomnia symptoms are a common problem and are often comorbid with hot flashes, fatigue, anxiety, and depression following a breast cancer diagnosis. The present study examined changes in insomnia severity and comorbid symptoms in the year following diagnosis. Methods This study is part of a larger prospective observational cohort study of 100 women with early stage breast cancer. Insomnia symptoms were measured using the Insomnia Severity Index, fatigue was measured using the Multidimensional Fatigue Symptom Inventory-Short Form, anxiety and depression were assessed using the Hospital Anxiety and Depression Scale, and hot flashes were assessed using the Hot Flash Related Daily Interference Scale. Assessments were performed shortly after diagnosis, 4, 8, and 12 months. A series of repeated measures within subjects ANOVAs were performed to assess changes in symptoms over time. Results Among 100 women with breast cancer, 45% reported at least mild insomnia symptoms. There were significant quadratic effects of time on insomnia severity, F(3, 297)= 12.776, p ≤ .001, depression (F[3, 297]= 4.409, p = .005), and fatigue (F[3, 297]= 7.995, p ≤ .001). These symptoms initially worsen and then improve throughout the year, but they do not rebound to pre-treatment levels. Interference from hot flashes worsens and endures for longer than other symptoms but does begin to show improvement one year post-diagnosis (F[3, 297]= 12.110, p ≤ .001). The were no time effects for anxiety (F[3, 297] = 1.4, p = .243). Conclusion In general, women treated for breast cancer can expect insomnia and comorbid symptoms to worsen then improve, but not recover, during the first year after a breast cancer diagnosis. Early efforts to educate women and manage symptoms could prevent insomnia and other issues from becoming persistent problems. Support Dr. Garland is supported by a Scotiabank New Investigator Award and seed funding from the Beatrice Hunter Cancer Research Institute (BHCRI).

Deterioration of Physical Activity Level and Metabolic Risk Factors After Early-Stage Breast Cancer Diagnosis

2015 ◽  
Vol 38 (4) ◽  
pp. E1-E9 ◽  
Author(s):  
Aude-Marie Foucaut ◽  
Sophie E. Berthouze ◽  
Marina Touillaud ◽  
Magali Morelle ◽  
Valérie Bourne-Branchu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Risk Factors ◽  
Cancer Diagnosis ◽  
Physical Activity Level ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
Activity Level ◽  
Early Stage Breast Cancer ◽  
Metabolic Risk

scholarly journals A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis

Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 6116
Author(s):  
Muhammad Firoz Mridha ◽  
Md. Abdul Hamid ◽  
Muhammad Mostafa Monowar ◽  
Ashfia Jannat Keya ◽  
Abu Quwsar Ohi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Cancer Diagnosis ◽  
Performance Metrics ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
Imaging Modalities ◽  
Research Directions ◽  
Comprehensive Survey ◽  
Processing Techniques

Breast cancer is now the most frequently diagnosed cancer in women, and its percentage is gradually increasing. Optimistically, there is a good chance of recovery from breast cancer if identified and treated at an early stage. Therefore, several researchers have established deep-learning-based automated methods for their efficiency and accuracy in predicting the growth of cancer cells utilizing medical imaging modalities. As of yet, few review studies on breast cancer diagnosis are available that summarize some existing studies. However, these studies were unable to address emerging architectures and modalities in breast cancer diagnosis. This review focuses on the evolving architectures of deep learning for breast cancer detection. In what follows, this survey presents existing deep-learning-based architectures, analyzes the strengths and limitations of the existing studies, examines the used datasets, and reviews image pre-processing techniques. Furthermore, a concrete review of diverse imaging modalities, performance metrics and results, challenges, and research directions for future researchers is presented.

Long-term employment outcomes among partners of patients with early-stage breast cancer.

2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 12-12
Author(s):  
Christine Marie Veenstra ◽  
Lauren P. Wallner ◽  
Cathy Bradley ◽  
Sarah T. Hawley
Keyword(s):  
Breast Cancer ◽  
Health Insurance ◽  
Cancer Patients ◽  
Cancer Diagnosis ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
Employment Outcomes ◽  
Diagnosis And Treatment ◽  
Breast Cancer Patients

12 Background: Undesired work loss comprises one of the many personal costs faced by cancer patients and their families. Multiple studies have described the long-term employment outcomes among patients with early-stage breast cancer, and show that a significant proportion of women face long-term job loss as a result of their cancer diagnosis and treatment. However, little is known about the employment outcomes of partners of breast cancer patients. Methods: Women with non-metastatic breast cancer identified by the Detroit and Los Angeles SEER registries between 6/05-2/07 were surveyed at 9 months (Time 1) and 4 years (Time 2) after diagnosis. Latina and black women were oversampled. Partners were surveyed at Time 2. We performed descriptive analyses of those partners who were not retired at the time they completed the survey. As part of a larger survey assessing the experiences of partners of breast cancer patients, partners were queried regarding the impact of the patient’s breast cancer diagnosis and treatment on their own employment and finances. Results: Of 774 eligible partners, 517 (67%) completed the survey. We included 280 non-retired partners in our analyses. 54% were white, 31% were Latino, and 10% were black. The majority of partners (86%) worked during the year following the patient’s diagnosis and 219 (90%) were working at the time of survey 4 years post-diagnosis. 50% of partners reported that work was a welcome source of support; 32% decreased their work hours as a result of the patient’s breast cancer. In order to maintain health insurance, 64% reported it was very/extremely important to keep their jobs and 51% reported it was very/extremely important to avoid changing jobs. 32% of partners reported their financial status was worse off because of the patient’s breast cancer; 20% were worse off regarding health insurance, and 19% were worse off regarding employment status. Conclusions: In contrast to breast cancer patients, most partners reported long-term job retention. Many partners kept working or avoided changing jobs in order to maintain health insurance. Nearly one-third of partners reported that their financial status was worse off because of the patient’s breast cancer diagnosis and treatment.

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