scholarly journals Breast Cancer Patient Advocacy Programme

The Breast ◽  
2021 ◽  
Vol 59 ◽  
pp. S8
2020 ◽  
Vol 6 (Supplement_1) ◽  
pp. 39-39
Author(s):  
Allison Dvaladze ◽  
Darya A. Kizub ◽  
Anna Cabanes ◽  
Gertrude Nakigudde ◽  
Bertha Aguilar ◽  
...  

PURPOSE Breast cancer advocacy movements, driven by advocate-led civil society organizations (CSOs), have proven to be a powerful force for the advancement of cancer control in high-income countries, playing a critical role in providing peer support, raising awareness, reducing stigma, educating the public, raising funds, influencing policy, and affecting national cancer research agendas by bringing the public’s concerns about cancer to policymakers and the medical community. Breast cancer patient advocacy movements are growing in low- and middle-income countries (LMICs) in response to an increasing cancer burden and disparities in outcomes; however, there are few studies on the experiences and needs of advocate-led breast cancer CSOs in LMICs. METHODS We conducted a qualitative study using in-depth interviews and focus group discussions with 98 participants representing 23 LMICs in Eastern Europe, Central Asia, East and Southern Africa, and Latin America. RESULTS Despite geographic, cultural, and socioeconomic differences, the common themes that emerged across the 3 regions are strikingly similar: trust, knowledge gaps, stigma, sharing experiences, and sustainability. We identified common facilitators—training/education, relationship building/networking, third-party facilitators, communication—and barriers—mistrust, stigma, organizational fragility, difficulty translating high-income country strategies—to establishing trust, collaboration, and advancing cancer advocacy efforts. To our knowledge, our study is the first to describe the role coalitions and regional networks play in advancing breast cancer advocacy in LMICs across multiple regions CONCLUSION Our findings reflect the importance of investing in three-way partnerships between CSOs, political leaders, and health experts. When provided with information that is evidence based and relevant to their respective environments, as well as opportunities to engage and network, advocates are better equipped to pursue evidence-based programs, advocate for appropriate solutions, and to hold their governments accountable to the commitments they make. Global and local actors can do more to create opportunities for education and engagement.


Author(s):  
Sri Burhani Putri

Breast cancer is one of the most common illness that killed woman. One of the therapy to cure breast cancer is chemotherapy. Chemotherapy has side effect either physical and psychology, that caused people who’s in chemo therapy, prone to stress. Stress effected by many factors, such as characteristic and chopping strategy that patient has been using. The aim of this research is to get a perspective about the relation of characteristic and chopping strategy with breast cancer patient stress, whose in chemo therapy. This research using cross sectional study and taking sample by using accidental sampling method. The data analyzed by using bavariat and multivariat with variable result shows that breast cancer patient stress who has chemo therapy realted to age characteristic (p value = 0.00) the time since they diagnosed with cancer (pvalue = 0.03), how long they have chemo therapy (pvalue = 0.00) and chopping strategyby looking social support (pvalue = 0.00) looking for spiritual (pvalue = 0.00) with dominan variable which related to stress is chopping strategy to looking spiritual support (coeffecients B = -1.139).   Key words : Breast cancer, chemotherapy, stress  


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mindaugas Morkunas ◽  
Dovile Zilenaite ◽  
Aida Laurinaviciene ◽  
Povilas Treigys ◽  
Arvydas Laurinavicius

AbstractWithin the tumor microenvironment, specifically aligned collagen has been shown to stimulate tumor progression by directing the migration of metastatic cells along its structural framework. Tumor-associated collagen signatures (TACS) have been linked to breast cancer patient outcome. Robust and affordable methods for assessing biological information contained in collagen architecture need to be developed. We have developed a novel artificial neural network (ANN) based approach for tumor collagen segmentation from bright-field histology images and have tested it on a set of tissue microarray sections from early hormone receptor-positive invasive ductal breast carcinoma stained with Sirius Red (1 core per patient, n = 92). We designed and trained ANNs on sets of differently annotated image patches to segment collagen fibers and extracted 37 features of collagen fiber morphometry, density, orientation, texture, and fractal characteristics in the entire cohort. Independent instances of ANN models trained on highly differing annotations produced reasonably concordant collagen segmentation masks and allowed reliable prognostic Cox regression models (with likelihood ratios 14.11–22.99, at p-value < 0.05) superior to conventional clinical parameters (size of the primary tumor (T), regional lymph node status (N), histological grade (G), and patient age). Additionally, we noted statistically significant differences of collagen features between tumor grade groups, and the factor analysis revealed features resembling the TACS concept. Our proposed method offers collagen framework segmentation from bright-field histology images and provides novel image-based features for better breast cancer patient prognostication.


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